Transaction
ID: 07f7df78c0...9a8f
Inputs (24)
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:
2.55 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.046 ERG
Tokens:
69,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.55 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00205 ERG
Transaction Details
Confirmations: 188,542
Total coins transferred: 2.59 ERG
Fees: 0.00205 ERG
Fees per byte: 0.00000099 ERG
Raw Transaction Data
{
"id": "07f7df78c03421b461bc70c1b65f9eeb7a2f7d1640bf4ef2bda9d0dbedb69a8f",
"blockId": "c7ee8a80034efe1c2aded1624fff1ad2a4d94bc78e4894aba5cbcb6360b591bc",
"inclusionHeight": 1570879,
"timestamp": 1752811375067,
"index": 11,
"globalIndex": 9226033,
"numConfirmations": 188542,
"inputs": [
{
"boxId": "da24b0d0eb270935fc5782904d1a0c6d75c4333b894b9009c56c684931024548",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "05d4d16cd58efd52b70a1c07c196af8a9235a930b7707639cf2d5fff72c74a96",
"outputTransactionId": "cf137188354d8ca0b61dfef6c1951b33685f404ead6cdda89746f11f21d5b0c9",
"outputIndex": 1,
"outputGlobalIndex": 48947570,
"outputCreatedAt": 1570872,
"outputSettledAt": 1570873,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c6fda914229317473944a0183f1d960019d2eb28d30b6c76c978fc69a8626c4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "c6fda914229317473944a0183f1d960019d2eb28d30b6c76c978fc69a8626c4d"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20a8d5e5f6bcca74683108728a37e9c0cdd0ece90afc805749dabd975323ce6a79",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8d5e5f6bcca74683108728a37e9c0cdd0ece90afc805749dabd975323ce6a79"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5b0574aae75e9135d4bd5952acf5ed546d2288e86274046128bca198fadb6843",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "05d4d16cd58efd52b70a1c07c196af8a9235a930b7707639cf2d5fff72c74a96",
"outputTransactionId": "09452ab3eadc125525963650d58b93e747947590f25c8864a3f423d774533b06",
"outputIndex": 1,
"outputGlobalIndex": 48947581,
"outputCreatedAt": 1570872,
"outputSettledAt": 1570873,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "5ivrmzxYZw1LAT2rQQY7Gkiuo36J5uzCTyMRoqee9QDzT4Wa1NnZaQ6zVLw3yw4ksfRCdfKiCYfjyiaJuAvdwi8WfVd2VJZo5VfoX7qNEELk34ZdvjCGsSdA3AWVfqSPy8NxPqm41xeccezcgRCVmyTHJa4pu38vtBvTZsnV4jzGTZsSstTQPGZMUUTys6VSBRUGqQjFpjVty3jTFudfJ4rRgyuGhyA1A3jgzY6wPSBXHniAi3c9rQLVEGNzpuyjXD1bFVemGdEmZp5tYLKb5BMsasJr6fa3P4xdyWryg6uUrxGiPZCRT4Z9DMmSyJdfVBFtnLaL7abqN3evRuHrGMn3KVVSFocUM9dLGZpU3XzzvWkgjwxB99FVJ4TzCSKphSgh3gPuCnwQWFhpuRuJJzV8je2jtYguEMNzcygK8WkvkuTsniW3zqJdGpHEqSKcQwnR7a5nP8yVyRRi26aYrNDjuJ2XoqnpLSSNAPmFZNApWcXGRqsqdaJBLsKPkkFXNYfcpwPNcpuExuFaeLhUaCbxdjWKBWMHPxqEhvK2dcs6uXhPjp4QX9XoMSiRqBGC7YAxhZkChKaxmBM3y2sTsyfW69LFM2VKs84FF7tXCGKPomVABQCgVbt5p9BKyPcL8ERa2LJrzfKJwfoXSAPrrK2QEd5zaDi7g6tSVy5QBFzrYARnncF2ZCuGR9Nmh6VAWumXpHfVq83iVVBWHKjSvKJuBEFUzg3G1dWmtwxqRZYFgdgd5FAZp5M6Nj6x4VMi4qcJe9S1exhMHKTDmKnmsJ7AX4YA4MdRGYXGJHRSUb842gqEYbqjjTSu8xRghbuxg9ghnr8NVx4uxwE56zJUMzhP4bVftTH6XhS1MDoRUPi451LcAbRr7QLR7gq8FS4H73FtJN4cni5mURRpNAnzEYFWcjmqaUuC9VSfkuD3Aqk7vSKpbJoSkcaZMXdqb9G4x6SGxjphx8kvxQDTJkmjkxNB5bADpRA7rfkSjRX9zekM8rb7NKu5doxYovb1qPgDuPPbD2eA279btntL8xzqTW2JWQdTPqdHG1ezxBsSWqWdFzzJYFh2VWuYB59A38EB9Mcihj995Y1DGfLt9vHMaw92ERCeqtk4MqX6WSBYc9QzTEA7wUtdYGXLydyRRxbLpYTfTX4sUvhCvg2YGix1L1G4nFaNRq28jiZjfKTCLr2TWDzFvX4jVWhFjFsBVRSCQhiKfDRpsUXm9CYXuk9tvnoVj2NN3e3SLyiWjCEUap84EhdyZn1zHHQSXnsSoSynR1kiWSDCuJCBcyM2MQ8wR",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a3ba33282c4b00eabbf6c55fb53e1271b8617ae205d9527bff416041aae953bb",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3ba33282c4b00eabbf6c55fb53e1271b8617ae205d9527bff416041aae953bb"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e206fb424a60da9dd3b43920ba1e642542506e5e435d41926eabba6ab2029b66580",
"sigmaType": "Coll[SByte]",
"renderedValue": "6fb424a60da9dd3b43920ba1e642542506e5e435d41926eabba6ab2029b66580"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "0fcae070ee7ebb9bea613e2c047a4bb9b72c38146b031fa75d03f042b0028457",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "05d4d16cd58efd52b70a1c07c196af8a9235a930b7707639cf2d5fff72c74a96",
"outputTransactionId": "bf742621a18f83a1f84ed0cdf366f3a08006d9cd118338d5d29f8ead9b3d1ee9",
"outputIndex": 1,
"outputGlobalIndex": 48947586,
"outputCreatedAt": 1570872,
"outputSettledAt": 1570873,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2057ed5aac7ab7b95c99bd1a48b71ee2521970cb4219821be98b199171c8f688e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "57ed5aac7ab7b95c99bd1a48b71ee2521970cb4219821be98b199171c8f688e1"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e2031814c6c7c2af8a7e7ebb8cde2550842319d1dcf6c23ae43f8f911f0a8290176",
"sigmaType": "Coll[SByte]",
"renderedValue": "31814c6c7c2af8a7e7ebb8cde2550842319d1dcf6c23ae43f8f911f0a8290176"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "12a3dbb4f9759895ffa6008bf2e21a9927a6ebc896c1c4e01da905f207913052",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "05d4d16cd58efd52b70a1c07c196af8a9235a930b7707639cf2d5fff72c74a96",
"outputTransactionId": "620f21ac649d9b87f0203a19f098c8411b79fb7d71d5e95ace6aff50abf55c06",
"outputIndex": 1,
"outputGlobalIndex": 48947591,
"outputCreatedAt": 1570872,
"outputSettledAt": 1570873,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e203d58315c115387da5dae2145035f509ebd8530c2407d98ff20992dfe634a1659",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d58315c115387da5dae2145035f509ebd8530c2407d98ff20992dfe634a1659"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f58ae7e38c42266c5424d3d288f7cdb861b39c87a67b40e6e4395672b728ffbd",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "c05082706a5ab0433f1c3b27b8f18e693ae246ea84b8a08d1f2c1bdef32561bc",
"outputTransactionId": "67146fa061ab5e30be222ff5f2bdb630a01c91bf9a175ae8e4f1760af033ddbe",
"outputIndex": 1,
"outputGlobalIndex": 48947665,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570874,
"ergoTree": "102404000e20bb48b86a1a929b35c6ed4bb295e43cdad237d4e65ed9399a5f6dc610e6ca6d69040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20cdcf856b11b8d3aaa08ab45e5c1a195b9d4768fa0314f597d33d2afd62ae2bd704000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20060fc421e152eba9acb0fde65d3b2c51f049fccad09af5e9b9adfedc37e6bade",
"sigmaType": "Coll[SByte]",
"renderedValue": "060fc421e152eba9acb0fde65d3b2c51f049fccad09af5e9b9adfedc37e6bade"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e207d436b94dd6bd4dc656df86547c8fe96b8404ecd45b98851aa9ec67a28f188a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d436b94dd6bd4dc656df86547c8fe96b8404ecd45b98851aa9ec67a28f188a8"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f5482dc1c6f494c3a7f56c856af2342f54cc023fd6cb294162e9ab04e53b00c4",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "1ac5f812ba4511f6437760a3bc7a4456118e270250729a9c81cb412fed2e28d0",
"outputIndex": 1,
"outputGlobalIndex": 48947704,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "102404000e20bb48b86a1a929b35c6ed4bb295e43cdad237d4e65ed9399a5f6dc610e6ca6d69040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20cdcf856b11b8d3aaa08ab45e5c1a195b9d4768fa0314f597d33d2afd62ae2bd704000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50",
"sigmaType": "Coll[SByte]",
"renderedValue": "d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e200682863ae402e945bc622bf9cfb24dd2b125803e95fee18be4c8a3486ce0fe31",
"sigmaType": "Coll[SByte]",
"renderedValue": "0682863ae402e945bc622bf9cfb24dd2b125803e95fee18be4c8a3486ce0fe31"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "ec166778e9d970defbd0b94ec74ef9f9ce1ff398d12020f7f286ae46413c9f3f",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "51b676edce44d0fa3653fc343c9af24c5bfba3e52c31fb9563cd9df415b33b11",
"outputIndex": 1,
"outputGlobalIndex": 48947708,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d5b216e026add4c3827a68aa3825ad979e2a04191f41a392fd9fa717750c2eb2",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5b216e026add4c3827a68aa3825ad979e2a04191f41a392fd9fa717750c2eb2"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20c059f18c5c738884778f135be5b7ae5374b8a62889f86053d461bd7d20ff4e50",
"sigmaType": "Coll[SByte]",
"renderedValue": "c059f18c5c738884778f135be5b7ae5374b8a62889f86053d461bd7d20ff4e50"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "8ac23913f2d8ed6beffadc012ef0e5eecde1fbba343cae187936248da34ec160",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "a7ffbf9ffeea7efc579b6341e421def30c49afb2f351908b55ae814f5bce04da",
"outputIndex": 1,
"outputGlobalIndex": 48947712,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2041ebb3fd817851bbf2f86db4eb89dd91f8edb77ab354473c2f7b98c75963d457",
"sigmaType": "Coll[SByte]",
"renderedValue": "41ebb3fd817851bbf2f86db4eb89dd91f8edb77ab354473c2f7b98c75963d457"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20bf58f7c66b2ab328eccbee7e5d90cef2f7c48a51502324ac335f1c3d2ac964d1",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf58f7c66b2ab328eccbee7e5d90cef2f7c48a51502324ac335f1c3d2ac964d1"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "07a8f09a8bd4dc1ef40da4859631137e4aa61ab0762db71653bd9365af3a5792",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "c8716770b3686c9ee0450d76cc54f30c5001ec27d307ecb7aaf2baaf52eab927",
"outputIndex": 1,
"outputGlobalIndex": 48947716,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "102404000e20bb48b86a1a929b35c6ed4bb295e43cdad237d4e65ed9399a5f6dc610e6ca6d69040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20cdcf856b11b8d3aaa08ab45e5c1a195b9d4768fa0314f597d33d2afd62ae2bd704000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2040f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85",
"sigmaType": "Coll[SByte]",
"renderedValue": "40f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e202725b3e6e8f430b3f33ef6a659ab8e7315bcd4c043f340819ddb38d3eb45051f",
"sigmaType": "Coll[SByte]",
"renderedValue": "2725b3e6e8f430b3f33ef6a659ab8e7315bcd4c043f340819ddb38d3eb45051f"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "22e66e4e083f2973899ab91228fd4c49225309235bd542aa9ebcdc267f1f348f",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "f89f721eb887dee19b89874fd0076ab63c1617b1bea2f0e493fabb666c0637ff",
"outputIndex": 1,
"outputGlobalIndex": 48947720,
"outputCreatedAt": 1570874,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2016664332b361bd5e7c3f6e4e68104fe29b15af14b8c311a21640a779a062bffa",
"sigmaType": "Coll[SByte]",
"renderedValue": "16664332b361bd5e7c3f6e4e68104fe29b15af14b8c311a21640a779a062bffa"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20d475f4143c8c6ee49c5902e16b930181aee2ecc7eaf7bda65a70649773a07e75",
"sigmaType": "Coll[SByte]",
"renderedValue": "d475f4143c8c6ee49c5902e16b930181aee2ecc7eaf7bda65a70649773a07e75"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "21fbe06ec419c0413f8c7a4b1d9099191f001039ac0cfc40a2803f7f14dcf8bc",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "1f145b47d5505d52ca240b614c8b69e9d3d80db07f94d2698adf3ecc3c684e85",
"outputIndex": 1,
"outputGlobalIndex": 48947724,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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}",
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"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208ff1d892dc359903b1e2b6e7503dea637295ca2082e9aa597a31707930bff68e",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ff1d892dc359903b1e2b6e7503dea637295ca2082e9aa597a31707930bff68e"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e2013b37c2bd2be1ddbd5ed971f0f02e81f08ae3d013cda50a018b4eb1e56646eb2",
"sigmaType": "Coll[SByte]",
"renderedValue": "13b37c2bd2be1ddbd5ed971f0f02e81f08ae3d013cda50a018b4eb1e56646eb2"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "712bab7dcaf73a79b502068e57e5be2dec5419b00b275e6a891e10780cfbdcd8",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "23b3a61249db0d1a7da91e1bd03e647d63987362a9c0169fafe123be0cef2a67",
"outputIndex": 1,
"outputGlobalIndex": 48947729,
"outputCreatedAt": 1570874,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "5ivrmzxYZw1LAT2rQQY7Gkiuo36J5uzCTyMRoqee9QDzT4Wa1NnZaQ6zVLw3yw4ksfRCdfKiCYfjyiaJuAvdwi8WfVd2VJZo5VfoX7qNEELk34ZdvjCGsSdA3AWVfqSPy8NxPqm41xeccezcgRCVmyTHJa4pu38vtBvTZsnV4jzGTZsSstTQPGZMUUTys6VSBRUGqQjFpjVty3jTFudfJ4rRgyuGhyA1A3jgzY6wPSBXHniAi3c9rQLVEGNzpuyjXD1bFVemGdEmZp5tYLKb5BMsasJr6fa3P4xdyWryg6uUrxGiPZCRT4Z9DMmSyJdfVBFtnLaL7abqN3evRuHrGMn3KVVSFocUM9dLGZpU3XzzvWkgjwxB99FVJ4TzCSKphSgh3gPuCnwQWFhpuRuJJzV8je2jtYguEMNzcygK8WkvkuTsniW3zqJdGpHEqSKcQwnR7a5nP8yVyRRi26aYrNDjuJ2XoqnpLSSNAPmFZNApWcXGRqsqdaJBLsKPkkFXNYfcpwPNcpuExuFaeLhUaCbxdjWKBWMHPxqEhvK2dcs6uXhPjp4QX9XoMSiRqBGC7YAxhZkChKaxmBM3y2sTsyfW69LFM2VKs84FF7tXCGKPomVABQCgVbt5p9BKyPcL8ERa2LJrzfKJwfoXSAPrrK2QEd5zaDi7g6tSVy5QBFzrYARnncF2ZCuGR9Nmh6VAWumXpHfVq83iVVBWHKjSvKJuBEFUzg3G1dWmtwxqRZYFgdgd5FAZp5M6Nj6x4VMi4qcJe9S1exhMHKTDmKnmsJ7AX4YA4MdRGYXGJHRSUb842gqEYbqjjTSu8xRghbuxg9ghnr8NVx4uxwE56zJUMzhP4bVftTH6XhS1MDoRUPi451LcAbRr7QLR7gq8FS4H73FtJN4cni5mURRpNAnzEYFWcjmqaUuC9VSfkuD3Aqk7vSKpbJoSkcaZMXdqb9G4x6SGxjphx8kvxQDTJkmjkxNB5bADpRA7rfkSjRX9zekM8rb7NKu5doxYovb1qPgDuPPbD2eA279btntL8xzqTW2JWQdTPqdHG1ezxBsSWqWdFzzJYFh2VWuYB59A38EB9Mcihj995Y1DGfLt9vHMaw92ERCeqtk4MqX6WSBYc9QzTEA7wUtdYGXLydyRRxbLpYTfTX4sUvhCvg2YGix1L1G4nFaNRq28jiZjfKTCLr2TWDzFvX4jVWhFjFsBVRSCQhiKfDRpsUXm9CYXuk9tvnoVj2NN3e3SLyiWjCEUap84EhdyZn1zHHQSXnsSoSynR1kiWSDCuJCBcyM2MQ8wR",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20821afc097152f45a29d15e4d6aab4684b9351e0011cad32aac8f13c5021b88c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "821afc097152f45a29d15e4d6aab4684b9351e0011cad32aac8f13c5021b88c5"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20da6314dcd23d2b2a8c193bb22359e8485a933869fed67b86de7721e7d872b18f",
"sigmaType": "Coll[SByte]",
"renderedValue": "da6314dcd23d2b2a8c193bb22359e8485a933869fed67b86de7721e7d872b18f"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "57da5476ee8a8f524e4b1ab2e36937eba80968767bca1049f822962724f7ac4b",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "3a399e0e1b5e468bf71085ce2cabe70886e5269e84580863ade9486d6fb179b0",
"outputIndex": 1,
"outputGlobalIndex": 48947734,
"outputCreatedAt": 1570874,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288",
"sigmaType": "Coll[SByte]",
"renderedValue": "111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e2056637b34263b94a01495b01b30d1e723d2bde6a8f988f2f455ce703bbf09d7e8",
"sigmaType": "Coll[SByte]",
"renderedValue": "56637b34263b94a01495b01b30d1e723d2bde6a8f988f2f455ce703bbf09d7e8"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "1da31e896a78ac3465c5d780f0ec86d587b498d6b2fb68f384a0443699f3c072",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "3ce8f6a079ee19243cbe59c5484d1ad9ecd5cfd75a1f0506a1bff3da8ed21e4f",
"outputIndex": 1,
"outputGlobalIndex": 48947739,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204ce7aadd1d5e9c69c26e9acfdf7997316fd65eb78846daabd9c7aa7d64347e8e",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ce7aadd1d5e9c69c26e9acfdf7997316fd65eb78846daabd9c7aa7d64347e8e"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e207a41c60c8346511adc277fe043f217065fc6f0c0c8e173a3d95d1eb977b05a84",
"sigmaType": "Coll[SByte]",
"renderedValue": "7a41c60c8346511adc277fe043f217065fc6f0c0c8e173a3d95d1eb977b05a84"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "57fcf8cd689a0aee9c233b4d18e3d9d2d53ec47118266021bd790e35a8c575ed",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "3ed0478f1cbd7041b33512198ca3f828eb320e43d48f7b170b6836f0e8d64e4d",
"outputIndex": 1,
"outputGlobalIndex": 48947744,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "5ivrmzxYZw1LAT2rQQY7Gkiuo36J5uzCTyMRoqee9QDzT4Wa1NnZaQ6zVLw3yw4ksfRCdfKiCYfjyiaJuAvdwi8WfVd2VJZo5VfoX7qNEELk34ZdvjCGsSdA3AWVfqSPy8NxPqm41xeccezcgRCVmyTHJa4pu38vtBvTZsnV4jzGTZsSstTQPGZMUUTys6VSBRUGqQjFpjVty3jTFudfJ4rRgyuGhyA1A3jgzY6wPSBXHniAi3c9rQLVEGNzpuyjXD1bFVemGdEmZp5tYLKb5BMsasJr6fa3P4xdyWryg6uUrxGiPZCRT4Z9DMmSyJdfVBFtnLaL7abqN3evRuHrGMn3KVVSFocUM9dLGZpU3XzzvWkgjwxB99FVJ4TzCSKphSgh3gPuCnwQWFhpuRuJJzV8je2jtYguEMNzcygK8WkvkuTsniW3zqJdGpHEqSKcQwnR7a5nP8yVyRRi26aYrNDjuJ2XoqnpLSSNAPmFZNApWcXGRqsqdaJBLsKPkkFXNYfcpwPNcpuExuFaeLhUaCbxdjWKBWMHPxqEhvK2dcs6uXhPjp4QX9XoMSiRqBGC7YAxhZkChKaxmBM3y2sTsyfW69LFM2VKs84FF7tXCGKPomVABQCgVbt5p9BKyPcL8ERa2LJrzfKJwfoXSAPrrK2QEd5zaDi7g6tSVy5QBFzrYARnncF2ZCuGR9Nmh6VAWumXpHfVq83iVVBWHKjSvKJuBEFUzg3G1dWmtwxqRZYFgdgd5FAZp5M6Nj6x4VMi4qcJe9S1exhMHKTDmKnmsJ7AX4YA4MdRGYXGJHRSUb842gqEYbqjjTSu8xRghbuxg9ghnr8NVx4uxwE56zJUMzhP4bVftTH6XhS1MDoRUPi451LcAbRr7QLR7gq8FS4H73FtJN4cni5mURRpNAnzEYFWcjmqaUuC9VSfkuD3Aqk7vSKpbJoSkcaZMXdqb9G4x6SGxjphx8kvxQDTJkmjkxNB5bADpRA7rfkSjRX9zekM8rb7NKu5doxYovb1qPgDuPPbD2eA279btntL8xzqTW2JWQdTPqdHG1ezxBsSWqWdFzzJYFh2VWuYB59A38EB9Mcihj995Y1DGfLt9vHMaw92ERCeqtk4MqX6WSBYc9QzTEA7wUtdYGXLydyRRxbLpYTfTX4sUvhCvg2YGix1L1G4nFaNRq28jiZjfKTCLr2TWDzFvX4jVWhFjFsBVRSCQhiKfDRpsUXm9CYXuk9tvnoVj2NN3e3SLyiWjCEUap84EhdyZn1zHHQSXnsSoSynR1kiWSDCuJCBcyM2MQ8wR",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a5d54b76826f8964ce3e730ae0cfd159e102adeebb9f58a80c5267a984e147f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a5d54b76826f8964ce3e730ae0cfd159e102adeebb9f58a80c5267a984e147f"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e2015db6366849bce8b729f3c7a271c4b5fa3264bce67e00dd6e0a24b210cfc93a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "15db6366849bce8b729f3c7a271c4b5fa3264bce67e00dd6e0a24b210cfc93a8"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "cfd42794290cfcc4831fdd144918ef39950f687ca379c9a23604a0817a0e5d4a",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "4f88ba75e523a2a5619eba241cf7858f41eb6fad3d9c7b165aaa262b04987b39",
"outputIndex": 1,
"outputGlobalIndex": 48947749,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "5ivrmzxYZw1LAT2rQQY7Gkiuo36J5uzCTyMRoqee9QDzT4Wa1NnZaQ6zVLw3yw4ksfRCdfKiCYfjyiaJuAvdwi8WfVd2VJZo5VfoX7qNEELk34ZdvjCGsSdA3AWVfqSPy8NxPqm41xeccezcgRCVmyTHJa4pu38vtBvTZsnV4jzGTZsSstTQPGZMUUTys6VSBRUGqQjFpjVty3jTFudfJ4rRgyuGhyA1A3jgzY6wPSBXHniAi3c9rQLVEGNzpuyjXD1bFVemGdEmZp5tYLKb5BMsasJr6fa3P4xdyWryg6uUrxGiPZCRT4Z9DMmSyJdfVBFtnLaL7abqN3evRuHrGMn3KVVSFocUM9dLGZpU3XzzvWkgjwxB99FVJ4TzCSKphSgh3gPuCnwQWFhpuRuJJzV8je2jtYguEMNzcygK8WkvkuTsniW3zqJdGpHEqSKcQwnR7a5nP8yVyRRi26aYrNDjuJ2XoqnpLSSNAPmFZNApWcXGRqsqdaJBLsKPkkFXNYfcpwPNcpuExuFaeLhUaCbxdjWKBWMHPxqEhvK2dcs6uXhPjp4QX9XoMSiRqBGC7YAxhZkChKaxmBM3y2sTsyfW69LFM2VKs84FF7tXCGKPomVABQCgVbt5p9BKyPcL8ERa2LJrzfKJwfoXSAPrrK2QEd5zaDi7g6tSVy5QBFzrYARnncF2ZCuGR9Nmh6VAWumXpHfVq83iVVBWHKjSvKJuBEFUzg3G1dWmtwxqRZYFgdgd5FAZp5M6Nj6x4VMi4qcJe9S1exhMHKTDmKnmsJ7AX4YA4MdRGYXGJHRSUb842gqEYbqjjTSu8xRghbuxg9ghnr8NVx4uxwE56zJUMzhP4bVftTH6XhS1MDoRUPi451LcAbRr7QLR7gq8FS4H73FtJN4cni5mURRpNAnzEYFWcjmqaUuC9VSfkuD3Aqk7vSKpbJoSkcaZMXdqb9G4x6SGxjphx8kvxQDTJkmjkxNB5bADpRA7rfkSjRX9zekM8rb7NKu5doxYovb1qPgDuPPbD2eA279btntL8xzqTW2JWQdTPqdHG1ezxBsSWqWdFzzJYFh2VWuYB59A38EB9Mcihj995Y1DGfLt9vHMaw92ERCeqtk4MqX6WSBYc9QzTEA7wUtdYGXLydyRRxbLpYTfTX4sUvhCvg2YGix1L1G4nFaNRq28jiZjfKTCLr2TWDzFvX4jVWhFjFsBVRSCQhiKfDRpsUXm9CYXuk9tvnoVj2NN3e3SLyiWjCEUap84EhdyZn1zHHQSXnsSoSynR1kiWSDCuJCBcyM2MQ8wR",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2072fcd653a0da887ded085d4f97aa26e3e6d8433e31b6cbbbfb1fe10a3cdc2675",
"sigmaType": "Coll[SByte]",
"renderedValue": "72fcd653a0da887ded085d4f97aa26e3e6d8433e31b6cbbbfb1fe10a3cdc2675"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20b285761c1e464e87ff6906d95700a9e8ae8fc564c263f8dc5a1d2535c60922a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "b285761c1e464e87ff6906d95700a9e8ae8fc564c263f8dc5a1d2535c60922a9"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "a425ec730d88399ce911c0079250870cc94db006e2fbeba65468c99f70263758",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "826652b782eb891933ca544b1ae424647b1c35fa9bb09c4f768293199574c083",
"outputIndex": 1,
"outputGlobalIndex": 48947754,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b94122c744ed9a7479f462e40d2cc11d5ceeae3e8515e875bbd00fe11ec9aae0",
"sigmaType": "Coll[SByte]",
"renderedValue": "b94122c744ed9a7479f462e40d2cc11d5ceeae3e8515e875bbd00fe11ec9aae0"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20c32a9a578e117f35aea6fc45af9dcffa91d94fd308c9f372ce8adaaf7eec2e64",
"sigmaType": "Coll[SByte]",
"renderedValue": "c32a9a578e117f35aea6fc45af9dcffa91d94fd308c9f372ce8adaaf7eec2e64"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5aa293b3cca6e67f7bf1073cd2af656b7e0daf43c5e2a43d2501b411f10ff547",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "88e8e459b1b488025de327b0c58cb611ff5df5daf79c3eac34eb2919e0e2c413",
"outputIndex": 1,
"outputGlobalIndex": 48947759,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "5ivrmzxYZw1LAT2rQQY7Gkiuo36J5uzCTyMRoqee9QDzT4Wa1NnZaQ6zVLw3yw4ksfRCdfKiCYfjyiaJuAvdwi8WfVd2VJZo5VfoX7qNEELk34ZdvjCGsSdA3AWVfqSPy8NxPqm41xeccezcgRCVmyTHJa4pu38vtBvTZsnV4jzGTZsSstTQPGZMUUTys6VSBRUGqQjFpjVty3jTFudfJ4rRgyuGhyA1A3jgzY6wPSBXHniAi3c9rQLVEGNzpuyjXD1bFVemGdEmZp5tYLKb5BMsasJr6fa3P4xdyWryg6uUrxGiPZCRT4Z9DMmSyJdfVBFtnLaL7abqN3evRuHrGMn3KVVSFocUM9dLGZpU3XzzvWkgjwxB99FVJ4TzCSKphSgh3gPuCnwQWFhpuRuJJzV8je2jtYguEMNzcygK8WkvkuTsniW3zqJdGpHEqSKcQwnR7a5nP8yVyRRi26aYrNDjuJ2XoqnpLSSNAPmFZNApWcXGRqsqdaJBLsKPkkFXNYfcpwPNcpuExuFaeLhUaCbxdjWKBWMHPxqEhvK2dcs6uXhPjp4QX9XoMSiRqBGC7YAxhZkChKaxmBM3y2sTsyfW69LFM2VKs84FF7tXCGKPomVABQCgVbt5p9BKyPcL8ERa2LJrzfKJwfoXSAPrrK2QEd5zaDi7g6tSVy5QBFzrYARnncF2ZCuGR9Nmh6VAWumXpHfVq83iVVBWHKjSvKJuBEFUzg3G1dWmtwxqRZYFgdgd5FAZp5M6Nj6x4VMi4qcJe9S1exhMHKTDmKnmsJ7AX4YA4MdRGYXGJHRSUb842gqEYbqjjTSu8xRghbuxg9ghnr8NVx4uxwE56zJUMzhP4bVftTH6XhS1MDoRUPi451LcAbRr7QLR7gq8FS4H73FtJN4cni5mURRpNAnzEYFWcjmqaUuC9VSfkuD3Aqk7vSKpbJoSkcaZMXdqb9G4x6SGxjphx8kvxQDTJkmjkxNB5bADpRA7rfkSjRX9zekM8rb7NKu5doxYovb1qPgDuPPbD2eA279btntL8xzqTW2JWQdTPqdHG1ezxBsSWqWdFzzJYFh2VWuYB59A38EB9Mcihj995Y1DGfLt9vHMaw92ERCeqtk4MqX6WSBYc9QzTEA7wUtdYGXLydyRRxbLpYTfTX4sUvhCvg2YGix1L1G4nFaNRq28jiZjfKTCLr2TWDzFvX4jVWhFjFsBVRSCQhiKfDRpsUXm9CYXuk9tvnoVj2NN3e3SLyiWjCEUap84EhdyZn1zHHQSXnsSoSynR1kiWSDCuJCBcyM2MQ8wR",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20112e3f8b621d2266ff437c922f1d7802118edac97ac66d2cddfe96b732ff2a6c",
"sigmaType": "Coll[SByte]",
"renderedValue": "112e3f8b621d2266ff437c922f1d7802118edac97ac66d2cddfe96b732ff2a6c"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "d58b68c40624353dacccce281a16b7e88109dd3af81f886ed15b37c333f11ba2",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "98667c5d9d0b978af67c35eed17e1dcb06aa574c6c0ff2e3a6012e6f9acdb791",
"outputIndex": 1,
"outputGlobalIndex": 48947764,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2049198b251c80ecfbecb9385e62dbcf9d69ea182af9c2780f4cb9ca07e76e1840",
"sigmaType": "Coll[SByte]",
"renderedValue": "49198b251c80ecfbecb9385e62dbcf9d69ea182af9c2780f4cb9ca07e76e1840"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e2018bcd3782cdf5757a363f1b62cdbcf74b984eede4f2ff8321c4d7756b4340677",
"sigmaType": "Coll[SByte]",
"renderedValue": "18bcd3782cdf5757a363f1b62cdbcf74b984eede4f2ff8321c4d7756b4340677"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "d82d7da2d6c4e747fe228fed44f4b82bdb8214e7a0079986d6df172a6c301857",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "a2836e5080057f9c4f66b5c595e11155410289399bf0815effb36590bc144817",
"outputIndex": 1,
"outputGlobalIndex": 48947769,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1ca0968592fe5e350616b5a548f0105e0c1661d3ef10caa99be926395aa9aa5",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1ca0968592fe5e350616b5a548f0105e0c1661d3ef10caa99be926395aa9aa5"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20c576d8f8c2dc075bf8214e23f1f44b40424889aa328e614bd13e3ad2e465c812",
"sigmaType": "Coll[SByte]",
"renderedValue": "c576d8f8c2dc075bf8214e23f1f44b40424889aa328e614bd13e3ad2e465c812"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "27654b410cb7329bc91bedea38b0c54b37e8337d04f10ce6e179eec64a51af96",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "a826439fa498f739a1a733fb3215b1005f40e9befce154c1f858bc6f66a6539c",
"outputIndex": 1,
"outputGlobalIndex": 48947774,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba",
"sigmaType": "Coll[SByte]",
"renderedValue": "cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e2096a879e889b3da27f4ac7c881dcadda0ccc6c619d96c5ae331c07e3778c62379",
"sigmaType": "Coll[SByte]",
"renderedValue": "96a879e889b3da27f4ac7c881dcadda0ccc6c619d96c5ae331c07e3778c62379"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "db16a9af8230912b7e66ca81149f4f39a221aa7c18564cf839f425b1db45dfb9",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "dab3f8b8dd34ad71fcf3b32db41800be5ca5d0b7af8019c78ca2aec03deb92fd",
"outputIndex": 1,
"outputGlobalIndex": 48947779,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2000d34e5b9041ecb5f91dfa9b3d647e832bd5908eec3f01ea7f1e3c30559565ad",
"sigmaType": "Coll[SByte]",
"renderedValue": "00d34e5b9041ecb5f91dfa9b3d647e832bd5908eec3f01ea7f1e3c30559565ad"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20e4029c76a451f4e5f110ec09a6c39510aa7ac365b48569ab42a84902a5ef4f77",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4029c76a451f4e5f110ec09a6c39510aa7ac365b48569ab42a84902a5ef4f77"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f8dc44ecf092d43b2b6ecb6ac9de914b4d2302eebc2ff92638b716143fa7d187",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "0ab2bff97731e663085ec003ae632c4d13d86cbe4ebf73431c3243fa8776b454",
"outputTransactionId": "ed0dd7d38d0d20bf04f00afc7d7d6de9dca03afc513ec2cd8049add3bb69a0ea",
"outputIndex": 1,
"outputGlobalIndex": 48947784,
"outputCreatedAt": 1570874,
"outputSettledAt": 1570875,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\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(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200bebb18fec56a72e12d2217922f12b172d4fb12e93b5fa1b2b00102cfcc06972",
"sigmaType": "Coll[SByte]",
"renderedValue": "0bebb18fec56a72e12d2217922f12b172d4fb12e93b5fa1b2b00102cfcc06972"
},
"R5": {
"serializedValue": "0e20727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da",
"sigmaType": "Coll[SByte]",
"renderedValue": "727e033da176c52dbdc7eb7b30a444439d091342d0d2b7f4d565d6b9d817a6da"
},
"R6": {
"serializedValue": "0e20f28ba3b5183e67615d2e723cccb7b39bbd81af36a8150aa8bd8e6a16844058b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "f28ba3b5183e67615d2e723cccb7b39bbd81af36a8150aa8bd8e6a16844058b4"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "677cbcd036b806baf74278d3f13d54a1d2818435d5c3ccfbd42caaee6a8f6657",
"value": 2548958228,
"index": 23,
"spendingProof": "ff93171df380109288e2af889cd92664ea750bb23130e16260cb68c9eed4e73031a8fe3d83256d5f4af0e64c465d646cc63929602084b99d",
"outputBlockId": "c05082706a5ab0433f1c3b27b8f18e693ae246ea84b8a08d1f2c1bdef32561bc",
"outputTransactionId": "ee8d932ac2a315f4a0b761087e90ccf7935a5347db176b95ddd45ff5709657bf",
"outputIndex": 2,
"outputGlobalIndex": 48947662,
"outputCreatedAt": 1570873,
"outputSettledAt": 1570874,
"ergoTree": "0008cd02bc36526424f81343d527f67b3c696fa352aed56587a1577965a004b0e2f835da",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc3652,b9f885,...)))}",
"address": "9fwx9F5D72kft9Ji1Ez8QNLwHxVaCELphuZdMRy6vR5mejFrP5u",
"assets": [
{
"tokenId": "c6fda914229317473944a0183f1d960019d2eb28d30b6c76c978fc69a8626c4d",
"index": 0,
"amount": 1,
"name": "WID-26c4d-ejFrP5u",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "f3091dc60264569b4755d6b5c0857f882bc1bb8b349a21401b09a71c7e0fe4e9",
"value": 1100000,
"index": 0,
"outputBlockId": "3464a1b2a6843b8dd3947b854f516527c1f42b8fe24c751b9de02f6e000af867",
"outputTransactionId": "456b126aee67b77accb829e1608ed8f6c4c00986c2fecf72ccdacd7ded733039",
"outputIndex": 1,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "6ebd7fd789656f7a00174367c6f55e01183241eb374711448e81725f7b23b704",
"value": 1100000,
"index": 1,
"outputBlockId": "484e4024b6a2d4e616ce75150922452249fd5cb2672a5b6bf6060b3b5db7df59",
"outputTransactionId": "a3f71bacee44078240b682ea7d981a01600051f9c886fd3c564de4a244967380",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "0532",
"sigmaType": "SLong",
"renderedValue": "25"
}
}
}
],
"outputs": [
{
"boxId": "c1ec4851016e018ab33c8bfc0167670738f7664bf6a66f0d9bc79c911f48789d",
"transactionId": "07f7df78c03421b461bc70c1b65f9eeb7a2f7d1640bf4ef2bda9d0dbedb69a8f",
"blockId": "c7ee8a80034efe1c2aded1624fff1ad2a4d94bc78e4894aba5cbcb6360b591bc",
"value": 46000000,
"index": 0,
"globalIndex": 48947844,
"creationHeight": 1570877,
"settlementHeight": 1570879,
"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(126,29,-109,-112,2,65,74,53,44,127,-96,8,-69,-87,78,124,-84,-71,25,91,-96,-65,58,67,8,-123,41,20,39,88,83,127)\n10: 1\n11: 0\n12: Coll(34,72,-57,-66,82,111,-64,-29,72,122,-103,-34,77,20,63,23,81,80,118,-14,99,-111,-73,-70,35,-128,12,76,-8,-106,-51,0)\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": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 69000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d8b1654f7ed06e028061be68af4d34c6dce1d439a2b2c672f00d5a0386914890",
"sigmaType": "Coll[SByte]",
"renderedValue": "d8b1654f7ed06e028061be68af4d34c6dce1d439a2b2c672f00d5a0386914890"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307861613437343435313239626333353838333136663634333837616331386263666263646137356632356337383438643133363731633862306363376335393831,62696e616e6365,63617264616e6f,307866646163363165623135323831653965386162653435623765313066346162663033626237396635,6164647231713961656c3970376d6332636e6d323765746737646c76306177767736396a6c6e3566367676716c32346139706d6b6e387671766635756c6c736c73793071666b687a367a37666d75386139676d357668343033737364307a303273617968347030,000000202ae664e4,000000017c5473a2,000000007cabb77e,307835303261363431646563666533326231653364303330653035656666623861653531343665363462,62376335636435353466336538336338616130393030613063393035333238346135333438323434643233643034303663323865616634642e35303431346334643061,307839373835306434633235616663663430653139353065386530333836383537613765613465393831613362383033333061633835333336323234373437643866,00000000033e5263]"
},
"R6": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
},
"R7": {
"serializedValue": "042e",
"sigmaType": "SInt",
"renderedValue": "23"
}
},
"spentTransactionId": "fe096fe2ccd62d5d9887d58f1172cc50a2b9b8939374727f4138e05632e45062",
"mainChain": true
},
{
"boxId": "4f95b6b70e7bbe7767126e95b72f8c6472a5c7aab0cc60910d2fb7f9bd2c3bb2",
"transactionId": "07f7df78c03421b461bc70c1b65f9eeb7a2f7d1640bf4ef2bda9d0dbedb69a8f",
"blockId": "c7ee8a80034efe1c2aded1624fff1ad2a4d94bc78e4894aba5cbcb6360b591bc",
"value": 2546908228,
"index": 1,
"globalIndex": 48947845,
"creationHeight": 1570877,
"settlementHeight": 1570879,
"ergoTree": "0008cd02bc36526424f81343d527f67b3c696fa352aed56587a1577965a004b0e2f835da",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc3652,b9f885,...)))}",
"address": "9fwx9F5D72kft9Ji1Ez8QNLwHxVaCELphuZdMRy6vR5mejFrP5u",
"assets": [
{
"tokenId": "c6fda914229317473944a0183f1d960019d2eb28d30b6c76c978fc69a8626c4d",
"index": 0,
"amount": 1,
"name": "WID-26c4d-ejFrP5u",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4258b30cca6c6bad01393df5f00a735d32c12f899247122514020bdd9d79c347",
"mainChain": true
},
{
"boxId": "ae372de6cb0c7a51ed1b85f8ea6355665453b8c0f6d765d7f059ef1fb5b035f6",
"transactionId": "07f7df78c03421b461bc70c1b65f9eeb7a2f7d1640bf4ef2bda9d0dbedb69a8f",
"blockId": "c7ee8a80034efe1c2aded1624fff1ad2a4d94bc78e4894aba5cbcb6360b591bc",
"value": 2050000,
"index": 2,
"globalIndex": 48947846,
"creationHeight": 1570877,
"settlementHeight": 1570879,
"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": "f879bf56be7391ca73c4f1eca23d8a5796eca9c91d7edc33db78b143c583335c",
"mainChain": true
}
],
"size": 2070,
"isUnconfirmed": false
}