Transaction
ID: 5850af2ea1...1e05
Inputs (12)
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:
0.002 ERG
Tokens:
9
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
8
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
17.02
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 405,880
Total coins transferred: 0.024 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001207 ERG
Raw Transaction Data
{
"id": "5850af2ea1a65ebe7f90d21670cc97306ab9af6bed01c243e52b3d2b73dc1e05",
"blockId": "a6c223fc013460eeb70980835e17b40c7c4bc7ecf2fd2f485f4f57d5d7e236d1",
"inclusionHeight": 1359038,
"timestamp": 1727174087034,
"index": 3,
"globalIndex": 7827872,
"numConfirmations": 405880,
"inputs": [
{
"boxId": "18959235bd26efd7d111fefd82fb97e1a2a1ef5043579f53b046bf0821513d03",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "32ad791528945a3418e64c2d1339635fef5f7445085fcd67ac441959ca60137a",
"outputIndex": 1,
"outputGlobalIndex": 42883029,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e20d5f9b2ebf851f1821eeac45624213b2f17106014a287e8f70d74fd00c708ab87",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5f9b2ebf851f1821eeac45624213b2f17106014a287e8f70d74fd00c708ab87"
},
"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e200ed799a971aa4fb4ff0c3e2a44d140328504978c01d9fa7befd18efd3dfb66e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0ed799a971aa4fb4ff0c3e2a44d140328504978c01d9fa7befd18efd3dfb66e4"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "3f463618ec11ce8c8f0ab8b790e7b40fcc1a98c8a87f8af67e5d25ccda009cda",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "3b673a5e319bcc478ceb7b6c680d51ef75f9f8c84589f9037fdfc61f9ecd1c4c",
"outputIndex": 1,
"outputGlobalIndex": 42883033,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e2079e76e91f49032ea85ac113fe4fe15a2bbfae60ba08cd1af0c6e6b55e9bd6dca",
"sigmaType": "Coll[SByte]",
"renderedValue": "79e76e91f49032ea85ac113fe4fe15a2bbfae60ba08cd1af0c6e6b55e9bd6dca"
},
"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e20b9957e2118b51738933376fe5ad6ae0f11fe7d78a80ddcbf1771a41fa265b211",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9957e2118b51738933376fe5ad6ae0f11fe7d78a80ddcbf1771a41fa265b211"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "30f427ca0f2bb4604abb062d7a2341aadb27f4b5426bb6b58d49991e1931915c",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "4142ccbd03602e831f38dc1b008c7a7eef511d1ff100732d1ec2ecaf85a0455a",
"outputIndex": 1,
"outputGlobalIndex": 42883037,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20baf38a166ccff99b39d6fdb39a9dc1b322b8f2765628066c04bc50ed2cd6138f",
"sigmaType": "Coll[SByte]",
"renderedValue": "baf38a166ccff99b39d6fdb39a9dc1b322b8f2765628066c04bc50ed2cd6138f"
},
"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e200859fd35f13986d3f525b4129b56ec18b7bb921d2b3ce475a2702bc7d4c9af72",
"sigmaType": "Coll[SByte]",
"renderedValue": "0859fd35f13986d3f525b4129b56ec18b7bb921d2b3ce475a2702bc7d4c9af72"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
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},
{
"boxId": "effe09c0bfaf14dde40de107c666e4e347a8e1aebe219d0f5bce329b688f08dc",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "82a0bd595eca103e127efc9a5d7878f5dda5fb58b893d7565b97f7d6f0375179",
"outputIndex": 1,
"outputGlobalIndex": 42883041,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
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"R6": {
"serializedValue": "0e2024ed12988ff258a263314dfacccab4033ffd8ad4939ade5086226f2eb2d51d0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "24ed12988ff258a263314dfacccab4033ffd8ad4939ade5086226f2eb2d51d0f"
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"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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},
{
"boxId": "211f36b1f478772d0c391739e00fc929f0ca740f3231dc963b3ac5b655ca8f22",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "8fca7dc9ceb30a5a61c9def0020a3a91771bc419fd6112487840feffd80e879b",
"outputIndex": 1,
"outputGlobalIndex": 42883045,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e2099e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e",
"sigmaType": "Coll[SByte]",
"renderedValue": "99e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e"
},
"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e20bda43a8aa05b11b6169b5549b27be6a042c04b9f0c59d9b5781b9c638543bf87",
"sigmaType": "Coll[SByte]",
"renderedValue": "bda43a8aa05b11b6169b5549b27be6a042c04b9f0c59d9b5781b9c638543bf87"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "ec13b2d4b737ef45834b2ccee971c5359a6754499236779c8af1e6fd65ea1b2f",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "92cbfa0c4d0518efa7bbdd2adc183c61fa87ac0733d0a4e1159869605405e525",
"outputIndex": 1,
"outputGlobalIndex": 42883049,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e20eeec55d3ea5f4450fd97259fa0efbd4408e430f48cd50881aac96f74f84d2548",
"sigmaType": "Coll[SByte]",
"renderedValue": "eeec55d3ea5f4450fd97259fa0efbd4408e430f48cd50881aac96f74f84d2548"
},
"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e20d85de0836ca816506ca3245c5b9872ad3acdb3aa13cb43856a5e152909762d58",
"sigmaType": "Coll[SByte]",
"renderedValue": "d85de0836ca816506ca3245c5b9872ad3acdb3aa13cb43856a5e152909762d58"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "4738535ecb619a7d23ce8cc00fe0ab93683a6fd97d2197966fc6a1ba09bbc5c9",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "94c69096219e0d3c6ce4c861ff003909b862d73e965297207b1f11bd7c8be18d",
"outputIndex": 1,
"outputGlobalIndex": 42883053,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
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"R6": {
"serializedValue": "0e204e6ce0f250b4ea92bdfc8502bbb4034c7a46d6ebea614bf59f10ed1be3cfe814",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e6ce0f250b4ea92bdfc8502bbb4034c7a46d6ebea614bf59f10ed1be3cfe814"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "033b89f059b74d026e01bfc04b4491272a7291fea60961b203d05efb088900c7",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "d672713a9cc84e169c1f8d1bf133b23afafb2fb438baf79cf8303c253b090f21",
"outputIndex": 1,
"outputGlobalIndex": 42883057,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e20c0a034346f52d7c82b814b9fe0c8ea8c292982f29f3b6b1a1342742fbe26ed59",
"sigmaType": "Coll[SByte]",
"renderedValue": "c0a034346f52d7c82b814b9fe0c8ea8c292982f29f3b6b1a1342742fbe26ed59"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "e003795df655154c72121a2fa38dac8b12236eb0ce12c3e0469fe8c38eb6dea4",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "01539f4a66bb8f1a9b5118e16009586fde07becb6e3d4412059d6856d956ddd2",
"outputTransactionId": "f70955ea68c12da8f262d29e80997b627344c95601aa1bb90dd9d702413d0be8",
"outputIndex": 1,
"outputGlobalIndex": 42883061,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359028,
"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": {
"serializedValue": "0e2040849bd53472fa8e70599659bc8ececdb29ca8c6d796e8b7bdbdc8d2814169cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "40849bd53472fa8e70599659bc8ececdb29ca8c6d796e8b7bdbdc8d2814169cc"
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"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
},
"R6": {
"serializedValue": "0e20ca3e447a3677dc907ef8b9f6585494d86e30ae65b9a19829b5307f08caca1a5e",
"sigmaType": "Coll[SByte]",
"renderedValue": "ca3e447a3677dc907ef8b9f6585494d86e30ae65b9a19829b5307f08caca1a5e"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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{
"boxId": "6aa194eeefcfb632d72e5f82e0e8143d0e704e7785080169ca3a194d7499e9bd",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "508687fcde8e5d0a6ad21a68815224759c576a10e42389471ad5b237705af8dc",
"outputTransactionId": "e07b8375e8e44f550dbee5208ba9ed5071fa94d9f5c26e11a236e4a476f2352f",
"outputIndex": 1,
"outputGlobalIndex": 42883076,
"outputCreatedAt": 1359026,
"outputSettledAt": 1359029,
"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": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "cf71bd6c6fb35f4f92abdcb206d965fd203f623b39ca53d18f7064750c958e10"
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"R5": {
"serializedValue": "0e2087994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5",
"sigmaType": "Coll[SByte]",
"renderedValue": "87994a5a38068f54966a4865ffe080315ec0973505d25816de4a746ce0405fb5"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "5a1522342a6bf69dfb8467e5052522aff05c65b052133605837ff252b27e4979"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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{
"boxId": "4478159d5ac981ecd318af85161ac0ad05ebae9b8e590f2f0d0e0f77f5fc72e6",
"value": 2000000,
"index": 10,
"spendingProof": "7b908e2f62f452c19b0d3695962ff903c572e9363ad0f2af99e665b5b5a3aa849b3b99d9a3c37a99f0ed738ccdd6ef3efe08c5e60be0548c",
"outputBlockId": "b9c138b31cbebca494bac337d3f5d83f26bb4e05ea8f086baa6909d90a229c70",
"outputTransactionId": "ff3f50b0d7efecfd30ef7a49108c67b61b91e392bb4ce09dcd76bea9b8bb3056",
"outputIndex": 3,
"outputGlobalIndex": 42103342,
"outputCreatedAt": 1328615,
"outputSettledAt": 1328617,
"ergoTree": "0008cd03a47269c8aaeadb0ca282041b61e79e8bd7006abec51177beb2a4da7323573deb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a47269,5f0571,...)))}",
"address": "9hiEGU1aurkNeV1b2a9enGj6XE1jQt2piPwJ1thNuB9SQKnqPPE",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 9000,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "1bb42cdfdf2d0c13e11a3310d5352ab5aada2c4af20ff7403ee0f41f0e7afae1",
"value": 2000000,
"index": 11,
"spendingProof": "5daf79e7cd79ac0ea54a846c44cceaf7c40f64957ece079298bb64ec44dbea22506f7ee279fffad61b8ad235068e3dbadd6df71fa5e40ee6",
"outputBlockId": "c7b157c9865f44b76b2f79b3adf90c08a5d40c925399b7a5da907c0e75ee44d3",
"outputTransactionId": "8880f82fd78ab8b6bbb781ac8fc4cdd3038c1f2ba5bf2d1c5559f9ca56c184dd",
"outputIndex": 3,
"outputGlobalIndex": 42197178,
"outputCreatedAt": 1332121,
"outputSettledAt": 1332123,
"ergoTree": "0008cd03a47269c8aaeadb0ca282041b61e79e8bd7006abec51177beb2a4da7323573deb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a47269,5f0571,...)))}",
"address": "9hiEGU1aurkNeV1b2a9enGj6XE1jQt2piPwJ1thNuB9SQKnqPPE",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 8016,
"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": "d60ad92c60507549f959a59b81f63cd48dea12cb2e500dc31ae886005e054463",
"transactionId": "5850af2ea1a65ebe7f90d21670cc97306ab9af6bed01c243e52b3d2b73dc1e05",
"blockId": "a6c223fc013460eeb70980835e17b40c7c4bc7ecf2fd2f485f4f57d5d7e236d1",
"value": 20000000,
"index": 0,
"globalIndex": 42883269,
"creationHeight": 1359035,
"settlementHeight": 1359038,
"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": "0e201a3cc089ae3096865ccc1b44c7925b73e12f513d7c0dc40f3f5a8b4850ec7bd1",
"sigmaType": "Coll[SByte]",
"renderedValue": "1a3cc089ae3096865ccc1b44c7925b73e12f513d7c0dc40f3f5a8b4850ec7bd1"
},
"R5": {
"serializedValue": "1a0c4230783431616664386530626230653937643339656630633030386563333665353066333435326137636239376130386535313961306333356337343632303839303308657468657265756d046572676f2a30786437313232613531623664376237613738656461383739313333316661343437653764636264373433396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a7044630800000000000196410800000000000186a0080000000000000fa02a3078623135303834613738333362316363316464353335666366396263303763613461626238396563644063643635383634623361363463316461613962303633326136346461326337363435303062623038613332303835623263633963616666663237643761333861423078343161656465613831626465353431366633333833316439366437383065616166303630386436363937326464663631623131353434393935366538393330320800000000013daf10",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307834316166643865306262306539376433396566306330303865633336653530663334353261376362393761303865353139613063333563373436323038393033,657468657265756d,6572676f,307864373132326135316236643762376137386564613837393133333166613434376537646362643734,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,0000000000019641,00000000000186a0,0000000000000fa0,307862313530383461373833336231636331646435333566636639626330376361346162623839656364,63643635383634623361363463316461613962303633326136346461326337363435303062623038613332303835623263633963616666663237643761333861,307834316165646561383162646535343136663333383331643936643738306561616630363038643636393732646466363162313135343439393536653839333032,00000000013daf10]"
},
"R6": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "6ffefd6d3b44276026d7854ad0af91c487d19979816f6fd0d5f7d505eb1695c8",
"mainChain": true
},
{
"boxId": "96b398707bc1cc380368484e3beea9e2718747f1ce3a928b4174ba940b8d5888",
"transactionId": "5850af2ea1a65ebe7f90d21670cc97306ab9af6bed01c243e52b3d2b73dc1e05",
"blockId": "a6c223fc013460eeb70980835e17b40c7c4bc7ecf2fd2f485f4f57d5d7e236d1",
"value": 2000000,
"index": 1,
"globalIndex": 42883270,
"creationHeight": 1359035,
"settlementHeight": 1359038,
"ergoTree": "0008cd03a47269c8aaeadb0ca282041b61e79e8bd7006abec51177beb2a4da7323573deb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a47269,5f0571,...)))}",
"address": "9hiEGU1aurkNeV1b2a9enGj6XE1jQt2piPwJ1thNuB9SQKnqPPE",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 17016,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a3f447ba0890022d89d7093d61ebd36e1ae04979f8eb10bdae795370fb8404f0",
"mainChain": true
},
{
"boxId": "4c539747b4345fbc6524e1c5b13797098105b773a6e5e00b2aa1605692b1c72c",
"transactionId": "5850af2ea1a65ebe7f90d21670cc97306ab9af6bed01c243e52b3d2b73dc1e05",
"blockId": "a6c223fc013460eeb70980835e17b40c7c4bc7ecf2fd2f485f4f57d5d7e236d1",
"value": 2000000,
"index": 2,
"globalIndex": 42883271,
"creationHeight": 1359035,
"settlementHeight": 1359038,
"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": "a56d623fd43deb58f7fc56d6ff56675b53ad3f1131830c2d9a6723f92196364c",
"mainChain": true
}
],
"size": 1657,
"isUnconfirmed": false
}