Transaction
ID: 5c693e6b22...2acc
Inputs (28)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.052 ERG
Tokens:
78,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 336,542
Total coins transferred: 0.056 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000087 ERG
Raw Transaction Data
{
"id": "5c693e6b22136767b9341f994fec85419245df15cd8b532a28ad75a0e1622acc",
"blockId": "1eff839ec15baef85088dfba938bdfbc0d1da630c80a371da5a78d92f63c924a",
"inclusionHeight": 1433224,
"timestamp": 1736140536887,
"index": 7,
"globalIndex": 8388710,
"numConfirmations": 336542,
"inputs": [
{
"boxId": "9547a67d857ab4fb23be8ba416f819e5c969ec92eda3ad2cac56256410928a9e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "91fd92a517e5039a9b9549b4aa8ea9da45583e99c62ec341e45b60b396a36495",
"outputTransactionId": "10bbf8cac64987cfd314edbdea88fc93ce0dec7cda8121c57e7f315703443754",
"outputIndex": 1,
"outputGlobalIndex": 45390245,
"outputCreatedAt": 1433213,
"outputSettledAt": 1433215,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2079b0d1af46887c7ba80ab5e4029e664d1dfe6216f400e77d3f6481b3bf50870a",
"sigmaType": "Coll[SByte]",
"renderedValue": "79b0d1af46887c7ba80ab5e4029e664d1dfe6216f400e77d3f6481b3bf50870a"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20b064291ce462f7612636716bf9d949520d8eefe711fa36cef4020c27d43dedd3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b064291ce462f7612636716bf9d949520d8eefe711fa36cef4020c27d43dedd3"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "02963b27f88e2605d51a94567ae8ad1af1d439fbd733e4eaa60fdbad03245e62",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "91fd92a517e5039a9b9549b4aa8ea9da45583e99c62ec341e45b60b396a36495",
"outputTransactionId": "88dcbd8186970c0ff96005482a7617f991acf15e50b47ab9ab9d420a100509c8",
"outputIndex": 1,
"outputGlobalIndex": 45390250,
"outputCreatedAt": 1433213,
"outputSettledAt": 1433215,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ac0cdfc9e86af253f157314e1b38115496dcaefef10ea6fd680757df402a50ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "ac0cdfc9e86af253f157314e1b38115496dcaefef10ea6fd680757df402a50ec"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e206390be33183328d11d49e750168e7997254d0e2ab68716afc3cd4ec43cf7fed6",
"sigmaType": "Coll[SByte]",
"renderedValue": "6390be33183328d11d49e750168e7997254d0e2ab68716afc3cd4ec43cf7fed6"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "1397d9b506d61cbafb61314d255ed3eda67dcd23f734d8ded6458a824427c6bb",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "91fd92a517e5039a9b9549b4aa8ea9da45583e99c62ec341e45b60b396a36495",
"outputTransactionId": "92834da18e7a3e7cd75aa396d2d0e307700c47aa5fd5446f381fed11806e972c",
"outputIndex": 1,
"outputGlobalIndex": 45390255,
"outputCreatedAt": 1433213,
"outputSettledAt": 1433215,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2076d63e480c7f54ddffc0528c721dd332eb7ffebd09d622fcb81c6569f44578f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "76d63e480c7f54ddffc0528c721dd332eb7ffebd09d622fcb81c6569f44578f9"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20756ff9eb0c311de36b12596136fbda8dedf1f13bf667f4419631ee37e6d5e11d",
"sigmaType": "Coll[SByte]",
"renderedValue": "756ff9eb0c311de36b12596136fbda8dedf1f13bf667f4419631ee37e6d5e11d"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "91e6314409210d5b1339aa444ecec4faf7f2ab9e82c7dddf2a1117eff67b656c",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "7c89f4e9c00b5c27e330279b993f39a1008954cd70d92c33be6268ce395a9312",
"outputTransactionId": "3a1f67fc5b9a68a5ba1fb53ce5fc63a35781dc10be5400411127a234a990e464",
"outputIndex": 1,
"outputGlobalIndex": 45390289,
"outputCreatedAt": 1433215,
"outputSettledAt": 1433217,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208a08156242b8a5b3d5b66667492f6bca7e5f6130a7ac40dd85524faa3658695c",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a08156242b8a5b3d5b66667492f6bca7e5f6130a7ac40dd85524faa3658695c"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20d6e38b397e591933a0d8fb3208640a958ae041faaa3b833981bf435acf52165a",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6e38b397e591933a0d8fb3208640a958ae041faaa3b833981bf435acf52165a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a3b327312a44676aec60ce9f61011c18e966acb26b879836026252da00dd3f03",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "7c89f4e9c00b5c27e330279b993f39a1008954cd70d92c33be6268ce395a9312",
"outputTransactionId": "a1c5935f14c98a02e21acb2ea2a48dd8e994cc8901749c2e94ecb42f7f4e91ea",
"outputIndex": 1,
"outputGlobalIndex": 45390294,
"outputCreatedAt": 1433215,
"outputSettledAt": 1433217,
"ergoTree": "102404000e20a446b4906dd03501266d437f9411194b1bf67799953e5e1a1fdaba29767b6d78040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e209a92751aba5279affeca331af97d20873992baceb0c584197c1c0efed1f4dfbe04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882",
"sigmaType": "Coll[SByte]",
"renderedValue": "a23002481ee5bd8b0f29754bb7cf90980b6e5666f1d25c7d7532673329de8882"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20e59559d4588b1899450db6c30b7075f2d34d73e557f358d2eca1e2811d219117",
"sigmaType": "Coll[SByte]",
"renderedValue": "e59559d4588b1899450db6c30b7075f2d34d73e557f358d2eca1e2811d219117"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "1aed18881df21b95f1811274429ba6f73fd104ce14a78b4ba6bcb4e5a5403c9a",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "3251d8be8f98ab233b190b48decfb92cb053ddbfc438066274efc5858fdbd208",
"outputTransactionId": "0361e35e25df237202b2fd6aa40b001fbcde34a38d61fd8c1fe51c87c5cb53a6",
"outputIndex": 1,
"outputGlobalIndex": 45390305,
"outputCreatedAt": 1433216,
"outputSettledAt": 1433218,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ef70b252e911cba6ca36080094315a89798d2f0d0f1251e519314a056de2829d",
"sigmaType": "Coll[SByte]",
"renderedValue": "ef70b252e911cba6ca36080094315a89798d2f0d0f1251e519314a056de2829d"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e201bcb5971d8ff62f0239b8dfdc149c6fbac45f320736692fa15f8948c6a7734f3",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bcb5971d8ff62f0239b8dfdc149c6fbac45f320736692fa15f8948c6a7734f3"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "33faa9abbf8a854e470500196db4758bac93356f28fe2be226ff564c87804391",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "3251d8be8f98ab233b190b48decfb92cb053ddbfc438066274efc5858fdbd208",
"outputTransactionId": "5a3536828cf29b1061a65ffed84d005ce9edef218a93a74ccf7ad13f59c57efc",
"outputIndex": 1,
"outputGlobalIndex": 45390310,
"outputCreatedAt": 1433216,
"outputSettledAt": 1433218,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ddca043da8d3015e7bf0123894200d7e0c7e7c44d86071658614c2a72315765",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ddca043da8d3015e7bf0123894200d7e0c7e7c44d86071658614c2a72315765"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20d23c5f025771e52baa682f68dfc3b5c53c7d0be7e713c63c42f43978bc85ae8d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d23c5f025771e52baa682f68dfc3b5c53c7d0be7e713c63c42f43978bc85ae8d"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5ae85cd876632e2bd50d0a3daa65b4ed8369602d2c2d4599002e50751817442f",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "3251d8be8f98ab233b190b48decfb92cb053ddbfc438066274efc5858fdbd208",
"outputTransactionId": "9a0a8d26ee411a68f007ce0a6779f6fd2ee44ec47c7f3a063a2c0baf784b6919",
"outputIndex": 1,
"outputGlobalIndex": 45390315,
"outputCreatedAt": 1433215,
"outputSettledAt": 1433218,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41",
"sigmaType": "Coll[SByte]",
"renderedValue": "bdf563b55eda9241d742fef76bc5fe844b5be99cb6fed7e7c59117443dd27e41"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e2077f7c28843efead09a4b60b16b9488c70517c57e14d01c817b1e9229247e1f27",
"sigmaType": "Coll[SByte]",
"renderedValue": "77f7c28843efead09a4b60b16b9488c70517c57e14d01c817b1e9229247e1f27"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "7e61fb01d88aea2bc9b23b22ee284e9cd914777891140fc4cfa6772fefbee518",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "3251d8be8f98ab233b190b48decfb92cb053ddbfc438066274efc5858fdbd208",
"outputTransactionId": "c652f200112e92dcd2b8b7714109c732ae6c19986e6bbd0ef17f56a87ff50e59",
"outputIndex": 1,
"outputGlobalIndex": 45390320,
"outputCreatedAt": 1433216,
"outputSettledAt": 1433218,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2068c4d5ed45f0910e584fe449bd79124987c8d10ed4592e3b3d4681a23c4cf4e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "68c4d5ed45f0910e584fe449bd79124987c8d10ed4592e3b3d4681a23c4cf4e9"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e2035e0f43c914bafea4ed504085a1e5b2bad2f5d50441c571eb69f2f38e625dab2",
"sigmaType": "Coll[SByte]",
"renderedValue": "35e0f43c914bafea4ed504085a1e5b2bad2f5d50441c571eb69f2f38e625dab2"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "ead7bc21262b0aac98513a804b9865bdb68a562f39248f36ac3ca90a59c830f7",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "8cd6f18f6ab3d178c1c04e29e56699302a90902a7a5b74d39fd033c22a29586f",
"outputTransactionId": "9b728c1406bd20ad435f627ab677c3ae29685c345c02d1bc2f76c670265dc9b3",
"outputIndex": 1,
"outputGlobalIndex": 45390333,
"outputCreatedAt": 1433218,
"outputSettledAt": 1433220,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "e542dc8d3c7c9d9711b4a88b7fdf1a0427eb90bcb44b47eefadd4047896c3b0f"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20bc26edcd200728e22db0077043e4987cc5d9540587da5bcf3b0ca7fb1e71cc9e",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc26edcd200728e22db0077043e4987cc5d9540587da5bcf3b0ca7fb1e71cc9e"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "2b7fce8cb8553670baf37112b596ebdfa87ef5b33edc6b0628c2a5d8005ea768",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "8cd6f18f6ab3d178c1c04e29e56699302a90902a7a5b74d39fd033c22a29586f",
"outputTransactionId": "aa2736bec401c67f76924d98eeae5d8d8bc5831d649e928b240f91fc13e76da7",
"outputIndex": 1,
"outputGlobalIndex": 45390338,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433220,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dca3aa311b2b660859b55c0a9951b968cf8fed4a9fcaed16ae9860d91896d0cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "dca3aa311b2b660859b55c0a9951b968cf8fed4a9fcaed16ae9860d91896d0cc"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e207fc8c5ce1b0b1f3b625984e4676c382d5a65776ba71c6de85795979aafb02293",
"sigmaType": "Coll[SByte]",
"renderedValue": "7fc8c5ce1b0b1f3b625984e4676c382d5a65776ba71c6de85795979aafb02293"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "6c96d8edff75117fe8550c55c92d89e779d6bbe288928ff81a258bf43973d2f0",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "8cd6f18f6ab3d178c1c04e29e56699302a90902a7a5b74d39fd033c22a29586f",
"outputTransactionId": "e007ae2fbb97f55100970a2dd1b4b65536cc98cfb6bf1e42f487e3f174c38222",
"outputIndex": 1,
"outputGlobalIndex": 45390343,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433220,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203c487e027dd6ac21c91104f707a1950111717a141b06876a652ddf8999df48c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "3c487e027dd6ac21c91104f707a1950111717a141b06876a652ddf8999df48c2"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20a0104f2c03cae92fb9deb041b2edcaa9757df79086bdbe4e092e7f27a89c88f5",
"sigmaType": "Coll[SByte]",
"renderedValue": "a0104f2c03cae92fb9deb041b2edcaa9757df79086bdbe4e092e7f27a89c88f5"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "d25f35b297782946be18954a8309def8832067ed7eaa77c4e929ef42ad0d9ba9",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "e83c41c6c582a4672d3f04ec7dd5ec33be04a718621e05a3f0d45f86eb3bff82",
"outputIndex": 1,
"outputGlobalIndex": 45390351,
"outputCreatedAt": 1433219,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e912713fde41c4f25b521aec91a3f83f346c0955fb9a996d6abe2be46026651c",
"sigmaType": "Coll[SByte]",
"renderedValue": "e912713fde41c4f25b521aec91a3f83f346c0955fb9a996d6abe2be46026651c"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e2084cde5031663a750679e29444db9d29df7b4f9db0a65dc6b00ba74338aeff742",
"sigmaType": "Coll[SByte]",
"renderedValue": "84cde5031663a750679e29444db9d29df7b4f9db0a65dc6b00ba74338aeff742"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5601c29c862908ffae7101e744164925fbdc19679c73040866f85ed8a03b235c",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "7088c57a9ad60d81cf74d08f1cebfbf1ef5c43a0a9015eb2b519344e24f2cbac",
"outputIndex": 1,
"outputGlobalIndex": 45390355,
"outputCreatedAt": 1433219,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20451d78e793f7f882e98de2b388d3abbff1e5ca7abab7d15cf0c0d0dc2dc888b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "451d78e793f7f882e98de2b388d3abbff1e5ca7abab7d15cf0c0d0dc2dc888b4"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e202eb082924675506ec38ae689e8d985f1b884cdd7a110571b06ab3aebdb9ac043",
"sigmaType": "Coll[SByte]",
"renderedValue": "2eb082924675506ec38ae689e8d985f1b884cdd7a110571b06ab3aebdb9ac043"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "ffffd18f704111d5476463cab417005afba7569f8b86c85dbb33e13ca3111136",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "76861adaaa60b18737be25b67034497bb1d1f798905404aef78c8bacaaf3074d",
"outputIndex": 1,
"outputGlobalIndex": 45390360,
"outputCreatedAt": 1433218,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2061834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "61834b1341b1dba4534d93ba7f1ba0bdaba0d1d79624c837bb39fbccf2aef3b1"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e2015e79e39ceb1c7553a36e73776b52e91aacd4e09bb95c76b776e6eb6b28acf0b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15e79e39ceb1c7553a36e73776b52e91aacd4e09bb95c76b776e6eb6b28acf0b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "60e6acf016d417630e4b902dd309fb8949969372427358893dd74797cb77c89e",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "f2ade1422792f564adcd0c3a85612509a3046d094990c7b6593d2cff0230beef",
"outputIndex": 1,
"outputGlobalIndex": 45390365,
"outputCreatedAt": 1433219,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204a9ca8fac05b868ce3a3d6007896be74488cb11cfca6aaa42ff3dcc9aa6d95b2",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a9ca8fac05b868ce3a3d6007896be74488cb11cfca6aaa42ff3dcc9aa6d95b2"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e209429dd965ded8f4c76281d2df1f44c776beaab5273cbee6855d4d1f83e56cc38",
"sigmaType": "Coll[SByte]",
"renderedValue": "9429dd965ded8f4c76281d2df1f44c776beaab5273cbee6855d4d1f83e56cc38"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "a352d1c6f20e23a6b87b9f2b18ed2e3ed7e0c3c41fc231c26711e4f3e3a1eecc",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "dd0b3f775ae076ff0ca70159b8f021d1c4f86edd2c582f6de0401c5dc68956af",
"outputIndex": 1,
"outputGlobalIndex": 45390370,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2035c5522c70d2566fd5d980186c369551430e85a13482dfedeab6075d5e82078b",
"sigmaType": "Coll[SByte]",
"renderedValue": "35c5522c70d2566fd5d980186c369551430e85a13482dfedeab6075d5e82078b"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e207841283ad3e199e48f97ee249db694992b6bc284351a26dacf8371049f79dce8",
"sigmaType": "Coll[SByte]",
"renderedValue": "7841283ad3e199e48f97ee249db694992b6bc284351a26dacf8371049f79dce8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "5f30b2f893485e39706aa04c6bb1307c5fd7a45b80cf7ecfcafcaafb901d9e30",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "20e74ec3de44f0adff493fd8aa06db48154422cf817c3e210b2a2456a13b1941",
"outputIndex": 1,
"outputGlobalIndex": 45390375,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1787113933937afa3b1eb5ea40c69298e91e59591f6c9ec772db6afc663ac7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1787113933937afa3b1eb5ea40c69298e91e59591f6c9ec772db6afc663ac7f"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20b722233e33ca1921db0215f52f06d75f41f611c19e5e3d5e2cf4f7721daa21e8",
"sigmaType": "Coll[SByte]",
"renderedValue": "b722233e33ca1921db0215f52f06d75f41f611c19e5e3d5e2cf4f7721daa21e8"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "071b065217f046e0b1bfcb3e1e6ddb8b969d73bf197d30896aa64562b5a34e42",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "3eb1e86da4344ba02a934b7939a1a79a9239f1f94d4c89451a4a21975827337a",
"outputIndex": 1,
"outputGlobalIndex": 45390380,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2068923bf7a54874caabf5f0892e4c17b564024da3ac2e7a5c3e3f15f809eb24a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "68923bf7a54874caabf5f0892e4c17b564024da3ac2e7a5c3e3f15f809eb24a1"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20335751ec7722f7e69c599ffa075f56fdd62293e6fed98d085379a89f48ad2f8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "335751ec7722f7e69c599ffa075f56fdd62293e6fed98d085379a89f48ad2f8a"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "acd4553d138428d84658cc4f0fd51c2c48f7e52f1ca2c977f49661d0bede4725",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "bb2df8e35745b602373d653e3ce1859880cac25a3d65a5a9a203393d9d51dd52",
"outputIndex": 1,
"outputGlobalIndex": 45390385,
"outputCreatedAt": 1433218,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "5ivrmzxYZsMEcMTZnZnsQm6jutdmSRzVW7WZoqN2c82khPoBUwF6GRVZdd6XhnNf9gbi3fsoZRM3cHmvz3sgJEJmy61cRxTKrM4q9ZfxYKBtyfNXLwD4CCeMedd6pxYDbgT6h3W5Qce2DZX51sw7aP6hu73HxJvcAirXLCYdZxi1nnGUbZYd8WNkU9zZ5ZGLVasrL49hVLNoJsP3ZYLpqzXchCL8RKv42qnLJ2kHc9BZJyv3QAYqMZTZSHQyRnYj4GAbdB3aYP71ge2HXCb6Arc6upjU4cWJPrPY4f8QcMdhXTrUtWp9u443Ekqdd3S2y2jfWLjDLsd7S9y7ASHPqx3GnCcPK4i9YnCQhdM8i5f59nA5ENgo24BTJvyQiRssDrCPpHxeTUp5ae2E5D4vyAnFfWCFfD6f5Z6DEDQvFnu1JLjjLcunp3rehGTSNgjyNNzGkjf6GF2y6enPuNcfpyNWsY2QJot4r1yZWqzeHvMgjbhnjpcManj1ikT1FFeg1oKZCCNBUbed4jYnmM1qFFmTYaovRUuEFXKFU2fhpz3EfEB79PUd5g5YMu1MTkKdUzLrEnoTxz9GKNpXCsoFvwC82hEuwXPcPFuMHdBFa4jtqSueVFgCPHHiXMz2koe6FGmCzY67q8215taocoiEC8NjGNTJ6Bzz3apbT5JP2hLVi6z11kNDQgtTA4gNRoftjZBBNVaFFj1DwURqEBzdawony7FvSpQYzgFEz5PKN7rAAr8Dsd4phbesmeASSph4aQLzB7iuibFSZXxyBm1w8GUEodaWEhh2UeTCJx2XtocU9aLYrUSgA6PgBF5NWzWwXDihESwyboSKnDb2mfHeGyjkjKSfQP2oP8Las1CeMXPdnwXUggckB44f82qjE5ENnqYhah4s5WkgPzzSvx42uhxc8VTbySPgiDefVGuFCEATX6fgAs5ikKh38TYWzLbUi9qM5Ncz9G7Z7Mc8RTdKtRLSxLUoPpiabXtyfdBkNr5PYhznMd3TPy9EHKinSzPV3GiJHGEkfYAbGmf2imbG2LrGtCEnyft3vBXYVocEnAXZsVKSRMPvkWsA7J2LRuQHrZCbVwY4LBDpfrHriEGUnAd168HB7DKPqRtCsVLgd2h6JgSHS4xXvfSwhG371VfTxJgAAtHUgKttcZfpZGXffLCwP7zmQGNVz6FJLsTEN3VXaQMQ7ooCeGHFdL7nbB7ejitfnWzWqgwqi5kv3nZEcmx4YfcnyvAjBosChtBMNfkMSVqa42Mx1xat4eJvHD5Jm1AwYijVqQjcXYh1ZzHqD",
"assets": [
{
"tokenId": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f27e19b30648fe7d8abcda9c3d63cf33d8e6008cb49bf9d097b9c867450af50a",
"sigmaType": "Coll[SByte]",
"renderedValue": "f27e19b30648fe7d8abcda9c3d63cf33d8e6008cb49bf9d097b9c867450af50a"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e2005bfdb554cc5d924f90b4b7958063ef662f283e7f30c0cba91cda7470403541b",
"sigmaType": "Coll[SByte]",
"renderedValue": "05bfdb554cc5d924f90b4b7958063ef662f283e7f30c0cba91cda7470403541b"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "8057642766972de217313d9c0c52823fd64a11517fa3c5cc3e7ab93b9049373e",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "f4b709f346403eddd75a8424912bc9e28d18257d20738befe32754573b389f28",
"outputIndex": 1,
"outputGlobalIndex": 45390390,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433221,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ffe51dd336aa8da7332e93f8f989a0427eba5a3008ddbe72fff93cff2a0d010",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ffe51dd336aa8da7332e93f8f989a0427eba5a3008ddbe72fff93cff2a0d010"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20b4226ab85a0d6c73ca641de5ce95998b1278f4b940781a3b3ca6453a61bf498c",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4226ab85a0d6c73ca641de5ce95998b1278f4b940781a3b3ca6453a61bf498c"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "f48a2611b5cf254efe79244e3a3404b512abe5ce806d4d75a22da6bf36b7e5a0",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "8a0dc5468e4d3c9464c5b8c3f79248e19c60d06e8dd7ce8a4e963892c48f50ea",
"outputTransactionId": "cb9656b6953c78ec01f569399b170289fcbf078ca69a93e70acc99c14d64106b",
"outputIndex": 1,
"outputGlobalIndex": 45390395,
"outputCreatedAt": 1433219,
"outputSettledAt": 1433221,
"ergoTree": "102404000e20a446b4906dd03501266d437f9411194b1bf67799953e5e1a1fdaba29767b6d78040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e209a92751aba5279affeca331af97d20873992baceb0c584197c1c0efed1f4dfbe04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b33a48613c4612acfd5721e903621ce1b53a2d79705811f006796586e462aa5"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20188c34b82627a961d409cae5dcaca9f2a81aa281c6a219485627b6f6fe7bddeb",
"sigmaType": "Coll[SByte]",
"renderedValue": "188c34b82627a961d409cae5dcaca9f2a81aa281c6a219485627b6f6fe7bddeb"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "227deb5f1a8bd33552eb277054be2aa048aaeee9b94199c3ab62d78a0f975ff2",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "9e13e391da302cdeb761da1fae94d79855909a9f99912c37e063aa67f54e3b4b",
"outputTransactionId": "66458d89ee1d93feb6df186faed627553e2a3eb76625971345f9c9e6f47fdda3",
"outputIndex": 1,
"outputGlobalIndex": 45390418,
"outputCreatedAt": 1433218,
"outputSettledAt": 1433222,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207c445a4ad72166bbe833d06eba11701a9fed158b8c497f406e989f7b0d26bb2d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7c445a4ad72166bbe833d06eba11701a9fed158b8c497f406e989f7b0d26bb2d"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20928410e8c6c4b5804eeb0c42e5fd46803fdb4d442ff4090c92b30081a39c2aa6",
"sigmaType": "Coll[SByte]",
"renderedValue": "928410e8c6c4b5804eeb0c42e5fd46803fdb4d442ff4090c92b30081a39c2aa6"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "fe64bce36032392eebe887b9a076110d0d6d32a9440c36100eac8902eb77f407",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "9e13e391da302cdeb761da1fae94d79855909a9f99912c37e063aa67f54e3b4b",
"outputTransactionId": "a31a7810b5ab3caa49572ad566ec1f3572d47ff6376a7652f1fcdf91a29c16e3",
"outputIndex": 1,
"outputGlobalIndex": 45390422,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433222,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd24bfe51c92a64cdf588284476dc2ccba569b3566d20781ba5a69815af743fa",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd24bfe51c92a64cdf588284476dc2ccba569b3566d20781ba5a69815af743fa"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20c79ecdc1a1e8b13bbccdd0981d2720304e0b4ffb70434cdb63dc2f8c85d4a6ea",
"sigmaType": "Coll[SByte]",
"renderedValue": "c79ecdc1a1e8b13bbccdd0981d2720304e0b4ffb70434cdb63dc2f8c85d4a6ea"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "256f01074a743f66a59aa219c99ecadcd5ec9d7de0b1a0deafc1f66b39e16bda",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "9e13e391da302cdeb761da1fae94d79855909a9f99912c37e063aa67f54e3b4b",
"outputTransactionId": "aea18a464e288800c6e03316a430989e0bf62d91afbbf1ea45240ee1612067ac",
"outputIndex": 1,
"outputGlobalIndex": 45390427,
"outputCreatedAt": 1433219,
"outputSettledAt": 1433222,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f45c3bac3e598eb013460b0274266da0e09bc093763fa6f753f462e85edb74ca",
"sigmaType": "Coll[SByte]",
"renderedValue": "f45c3bac3e598eb013460b0274266da0e09bc093763fa6f753f462e85edb74ca"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e204db3a59f0df690d76d0de4b676ebc97974679bed12925561918bc9cf1b514b45",
"sigmaType": "Coll[SByte]",
"renderedValue": "4db3a59f0df690d76d0de4b676ebc97974679bed12925561918bc9cf1b514b45"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "15e9d92b3f536082084084630edc432d4be74042abc7a66307ce0a055240a712",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "9e13e391da302cdeb761da1fae94d79855909a9f99912c37e063aa67f54e3b4b",
"outputTransactionId": "2771e829bf8defeeaa70a3eb941aaa7c7efcc30926f6e98d95cdb00fdb7335e7",
"outputIndex": 1,
"outputGlobalIndex": 45390432,
"outputCreatedAt": 1433217,
"outputSettledAt": 1433222,
"ergoTree": "102404000e20a446b4906dd03501266d437f9411194b1bf67799953e5e1a1fdaba29767b6d78040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e209a92751aba5279affeca331af97d20873992baceb0c584197c1c0efed1f4dfbe04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-92,70,-76,-112,109,-48,53,1,38,109,67,127,-108,17,25,75,27,-10,119,-103,-107,62,94,26,31,-38,-70,41,118,123,109,120)\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(-102,-110,117,26,-70,82,121,-81,-2,-54,51,26,-7,125,32,-121,57,-110,-70,-50,-80,-59,-124,25,124,28,14,-2,-47,-12,-33,-66)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 3000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2044182b8ecf403458f8beb6bc013646dcd30c336acb2ea888f44ae893936591b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "44182b8ecf403458f8beb6bc013646dcd30c336acb2ea888f44ae893936591b6"
},
"R5": {
"serializedValue": "0e2096376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607",
"sigmaType": "Coll[SByte]",
"renderedValue": "96376a7bb793d56d7272e72d85ec1e7b9a3912addf6c74e5db19a2afed0d8607"
},
"R6": {
"serializedValue": "0e20f173626c2b5f3ba4a01a768930567fc6c70bb6cdb463afaca10a257903205af2",
"sigmaType": "Coll[SByte]",
"renderedValue": "f173626c2b5f3ba4a01a768930567fc6c70bb6cdb463afaca10a257903205af2"
},
"R7": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
}
}
},
{
"boxId": "3bc568e3564393af388cc3bf83c0019565d32b0e1465e8b0ab85dceca88788ea",
"value": 2000000,
"index": 26,
"spendingProof": "a6f119903d92a89e9082ebee6216fa6e6243dc89aced3506f3edd4b63bf7dc02e4a1d491f17a180a53d1c0766579f3ea9e8778e980462670",
"outputBlockId": "104cc329ae7e6b56c208acabbad49322989b27e01bbec6120075d166b7288282",
"outputTransactionId": "038339dabb86fb12a73a4278c45b89aec5dbc8ad1ab7e04ebf6ca44dc81bac1c",
"outputIndex": 3,
"outputGlobalIndex": 44112141,
"outputCreatedAt": 1401702,
"outputSettledAt": 1401705,
"ergoTree": "0008cd03b85ae1ea74e78da9c464767b0f0993300357f3f274559669184a249baa01d3ae",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b85ae1,5ec065,...)))}",
"address": "9hrznvzc52fdE4gFggbpwpQYfvbHnj6qJntDeam2gBVwA8R8sjb",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 21328,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 106401,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "dd0e30b8db18088319eb63a37801c6feb311c9f26905f69cde091bc0cb8770eb",
"value": 2000000,
"index": 27,
"spendingProof": "d66d6585372380de35127ab4c9f562a6c74d6b2f95fb2134c6d20d9a6b64f906cfec55fd2047dfd34feb68837790cf2fa0cceb8c5e0d3a8a",
"outputBlockId": "e2f93d23be8debb16cea461f2d49a10aad3c1296657ecae538ff87573b16be1f",
"outputTransactionId": "9209e2062badac28e663bb0a71de1ab2293358672060915ac46e2e12dd266793",
"outputIndex": 3,
"outputGlobalIndex": 44180013,
"outputCreatedAt": 1403318,
"outputSettledAt": 1403320,
"ergoTree": "0008cd03b85ae1ea74e78da9c464767b0f0993300357f3f274559669184a249baa01d3ae",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b85ae1,5ec065,...)))}",
"address": "9hrznvzc52fdE4gFggbpwpQYfvbHnj6qJntDeam2gBVwA8R8sjb",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 2460,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "1f36cd2678f356c11c331a7d1d6f082909f32a4b10ac0586ac97d471fcdfe439",
"value": 1100000,
"index": 0,
"outputBlockId": "7455acea313ff80fc3cefd631a92713ae2ddd037db3ec14119989e18e78dd717",
"outputTransactionId": "87dfe253cb15e9b26f4b3d7624a772a6a73cb395c8835f8ee72ead0e80f00710",
"outputIndex": 1,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
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"outputIndex": 0,
"ergoTree": "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",
"address": "NY4PEzZ7Vfju59RSazdQK92s7PaLrnCh5D9yZBZx7fptQjQZ7Ra2Xiz1PFusrkij3YamVoqXNqoUzazpjnzwmX4zKvPwWGLdqk1RXvp82m7Km2nwtvL2d6tVVCfgiVzA392JszEtNDh9hNXn6wk8eXjXwUg1q1w4UJi6XzmscSH6iZ1BR6ghCp5fyrZBeUfnvbPsfgHmmoVQzmDJ5E9KjmCg53detrDH29gyZUKyqjC5ddnCKG5cvVmoZ7D2ix9KFa9RuLcpVTxnVnuoJnHL1yoGog11TB3eT5hRyiUzeBU688pMb1xyUaCw8bjh5wSsBRAWQnDiAaGuj6zsJEnKeMW94XLeaTASw4K2bwyWHr4BVN9XNSeopFoj6mXPrD2ZhGgPV4HeQp1qEQ2pemMiSecXYkghfnk1t8hnfDNMfXoyKXxEmN8Cf1p7M8pqtgo7H9uUi6xsfotsB2uHVSoT21nzERYMaej9YuYwgC2iUzrzeZNFu7LbMqBErDgHn4wfgppRnF6axDca7QJGNv3q7E2q1DGRpzmTXPfr9FeFxki9geAwsTAy1KTqU2u6TY2wcRC3GzQz83x6LatZLhf9HZnVWZ3SRWQ5AmKUfxhHVxVC9Hwiraqb7ciZBsrnXHWmFaHHHYxafZwoLUBqxeWnHNM211MUwJ2rD9pvrqREfYs4CKYJNDxe5nezL11TnsLyt6p6XkKgHXvvqnk9HQ27pMbpNVX33Y8iQpznFvL2YBCn6Dw9hBDgb8thcYkkAXyLRZskEmhXQFL9evXTstNoeJVJp7NAo7dejZRaKHzTvZnZpkybJGks44qFbGSuSXGegN1V1HWyYGnGSgEJm3yrapNC5tdTvHWXVDxjw1G2TwqKL8D4HZVsyWsu8PEErsaf593jscXKTRn2uqvdhp29rJKGV4v2Cfd8DDXzwhmVxcVFyUiXg9JDe8fCi2rxmFai7a6P6vTJrUkJRtKYBt5RUY3uzKXpX4J4fBWMHmnM2yTSgdaXb9MYULmsbWitqpxiTWh1iMQdXNHxU1A2hHvsqogqEhrG9bGmMU1m1EFSFAPocv3KUf5bPYUWmVUFaxa2MLmE4fs1EC3kCJz8434NrxD1YVA1iosiv5f2tDM8E3w15VRik2a3R1Y6C1D9uHAAT1XK1A27dnx6e586eghm5BuvCY9Di89bdYH5KX3sg4NzWAAJYd5DLZbtdXxzRrKiKwMcPjskhwyQRcv3qstVzPDfJdE8Ej",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0542",
"sigmaType": "SLong",
"renderedValue": "33"
}
}
}
],
"outputs": [
{
"boxId": "dfacefce15c9198b176f3f2782af861265d80ceb1762e65c6922f7117745626c",
"transactionId": "5c693e6b22136767b9341f994fec85419245df15cd8b532a28ad75a0e1622acc",
"blockId": "1eff839ec15baef85088dfba938bdfbc0d1da630c80a371da5a78d92f63c924a",
"value": 52000000,
"index": 0,
"globalIndex": 45390479,
"creationHeight": 1433222,
"settlementHeight": 1433224,
"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(-79,40,41,113,91,-31,27,63,-75,93,26,-27,-45,-77,-47,40,-114,-50,-92,92,-14,-28,-37,75,46,61,66,-24,-114,-79,114,0)\n10: 1\n11: 0\n12: Coll(101,-1,-109,-61,78,-93,68,54,-3,-107,77,20,-24,-71,-69,6,114,-78,-107,20,73,-77,79,32,-127,113,85,-91,-90,19,-124,91)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"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": "f5985c64c1aa8f08569dc77a046f65f92947abaa9ccd530aead033eece23496e",
"index": 0,
"amount": 78000000,
"name": "rspv2EthereumRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202bd6d7057abac05756a6429e34f6ba4e5076a5d0a97f5c6f35636410c524d1b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "2bd6d7057abac05756a6429e34f6ba4e5076a5d0a97f5c6f35636410c524d1b5"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307834333964623336363162353264396331623161623866623064363539343035613635656631623766323139343734313263313230323631383466376539373463,657468657265756d,63617264616e6f,307834643861366563353130393733323939643139393264333936306133356261396435636433306539,616464723171793973676430613535787268773864733438683978647374307675647833346c72776566767a32776865726c346e6b6d3575663271636e713637377a6665726d6d366132336d36773438366b3865767635376a366e6b6a63376a71613064677563,000001e880cf5260,000000027148b773,000000007d6b667d,307836633036306261373338616633396130396633623435616336343837646663396562623838356636,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,307866326264623631363231643361616533396233393135376365306666313934356634663832316433313565646431396636363561303764353061656232613632,000000000149070f]"
},
"R6": {
"serializedValue": "0e20b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b699245cb10041620dbc7c98f5f4eeb9574ae01ffa24bb4a382ec6c9a7180fa2"
},
"R7": {
"serializedValue": "0434",
"sigmaType": "SInt",
"renderedValue": "26"
}
},
"spentTransactionId": "a4e21a546d507918fd2e550c6090abb4e19c6625ecf52f60ae3fa148762776c8",
"mainChain": true
},
{
"boxId": "2f8d17b10e7bf3916a1946ee8f8c153f20bee0faf566670bc7f4b3a4213b9b0c",
"transactionId": "5c693e6b22136767b9341f994fec85419245df15cd8b532a28ad75a0e1622acc",
"blockId": "1eff839ec15baef85088dfba938bdfbc0d1da630c80a371da5a78d92f63c924a",
"value": 2000000,
"index": 1,
"globalIndex": 45390480,
"creationHeight": 1433222,
"settlementHeight": 1433224,
"ergoTree": "0008cd03b85ae1ea74e78da9c464767b0f0993300357f3f274559669184a249baa01d3ae",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b85ae1,5ec065,...)))}",
"address": "9hrznvzc52fdE4gFggbpwpQYfvbHnj6qJntDeam2gBVwA8R8sjb",
"assets": [
{
"tokenId": "dede2cf5c1a2966453ffec198a9b97b53d281e548903a905519b3525d59cdc3c",
"index": 0,
"amount": 23788,
"name": "eRSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 106401,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "add7165abe24f108ae17c15dde5eaef2c9f897261b555a9078542d8d69005a8b",
"mainChain": true
},
{
"boxId": "13fd15623f9153a339f629f9ce66033a9c7387fc92e9b6f1046c2889a68aa8ee",
"transactionId": "5c693e6b22136767b9341f994fec85419245df15cd8b532a28ad75a0e1622acc",
"blockId": "1eff839ec15baef85088dfba938bdfbc0d1da630c80a371da5a78d92f63c924a",
"value": 2000000,
"index": 2,
"globalIndex": 45390481,
"creationHeight": 1433222,
"settlementHeight": 1433224,
"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": "facda2d123bf87aaaffdd82d217e644736ccc66df3cfda3513f60661103d6b1c",
"mainChain": true
}
],
"size": 2299,
"isUnconfirmed": false
}