Transaction
ID: 527b24199a...eb3d
Inputs (27)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.006 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.052 ERG
Tokens:
78,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00395 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00205 ERG
Transaction Details
Confirmations: 260,241
Total coins transferred: 0.058 ERG
Fees: 0.00205 ERG
Fees per byte: 0.000000959 ERG
Raw Transaction Data
{
"id": "527b24199a7c3a22300fdf504e340037e3d2619999c63fdf6117fbd1e705eb3d",
"blockId": "d696fa46c0ac979f99fe1238f9b74d48231de1d14238e43ae596be14352a6ee6",
"inclusionHeight": 1509361,
"timestamp": 1745361030267,
"index": 12,
"globalIndex": 8878247,
"numConfirmations": 260241,
"inputs": [
{
"boxId": "d3c51c166db8f30f3c0abf605597cfdb057b7cb731a22f8965555fd9e0d53b40",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "962f32685b7fb9e6a203570ba0352d8eef19465c38587b2cf06d640c26ea6be8",
"outputTransactionId": "83cb09816a7f64735e2e8d2139f37d2ceb28ebd6c2ed4ac125775c04d0bcec77",
"outputIndex": 1,
"outputGlobalIndex": 47517968,
"outputCreatedAt": 1509342,
"outputSettledAt": 1509346,
"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": "0e20c6fda914229317473944a0183f1d960019d2eb28d30b6c76c978fc69a8626c4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "c6fda914229317473944a0183f1d960019d2eb28d30b6c76c978fc69a8626c4d"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20111defa116a9e061b778622e11bb16b5a7d48ef2d06302c684dd286e01657b7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "111defa116a9e061b778622e11bb16b5a7d48ef2d06302c684dd286e01657b7b"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "2d47c11a52ddc047775c79a7e9969185f6d42bcdcd2bd58d0f4c6a12c29fe500",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "962f32685b7fb9e6a203570ba0352d8eef19465c38587b2cf06d640c26ea6be8",
"outputTransactionId": "05d97ab3c5f2562ae1b015161611301c052ceb6be47cf4172ea25c1a892a71a0",
"outputIndex": 1,
"outputGlobalIndex": 47517973,
"outputCreatedAt": 1509344,
"outputSettledAt": 1509346,
"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": "0e20a3ba33282c4b00eabbf6c55fb53e1271b8617ae205d9527bff416041aae953bb",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3ba33282c4b00eabbf6c55fb53e1271b8617ae205d9527bff416041aae953bb"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20297037b1d5dd3575cc03b7ff4d119105f27d5658526c70d8857df1fc20b675fd",
"sigmaType": "Coll[SByte]",
"renderedValue": "297037b1d5dd3575cc03b7ff4d119105f27d5658526c70d8857df1fc20b675fd"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f70056e9e4e483f97163bd5a8044cc941fc4ae8af2693735417f8034fd6e1bad",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "962f32685b7fb9e6a203570ba0352d8eef19465c38587b2cf06d640c26ea6be8",
"outputTransactionId": "2babcd542881f7b6e8f60e90ca81cb3b20417cb217ea35cafa8efd4553cce897",
"outputIndex": 1,
"outputGlobalIndex": 47517978,
"outputCreatedAt": 1509344,
"outputSettledAt": 1509346,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e209bce8fa01693b3f3861ec8d5b5342c4967f99655923abf7b10949800328d6140",
"sigmaType": "Coll[SByte]",
"renderedValue": "9bce8fa01693b3f3861ec8d5b5342c4967f99655923abf7b10949800328d6140"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "9626a34046fd5bd5b8cf1704db88e420c8deaeedddfc5b75c8b07aa2556e57a4",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "13ab178aefed95da06f55bacf6596ccd804365c20ae1939c7f1f86f62e8d56cc",
"outputTransactionId": "32911d159709374b5a306b7a33a9565dd5c97bc7ce2eda30080e6d8c5a0ccc2c",
"outputIndex": 1,
"outputGlobalIndex": 47518136,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509356,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20095e016237849a40bfd272ced1f4860d8c8d318280e46f0b17f20a90fd9492e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "095e016237849a40bfd272ced1f4860d8c8d318280e46f0b17f20a90fd9492e4"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "6fd9874a3af8b25adbe4d16836fd342f9919fe210e0b6bb330c465529fda7405",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "13ab178aefed95da06f55bacf6596ccd804365c20ae1939c7f1f86f62e8d56cc",
"outputTransactionId": "5d920ed7fa75cd0059942ba8bc71d98c3bf5b5654b106e133078501ca5712544",
"outputIndex": 1,
"outputGlobalIndex": 47518141,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509356,
"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": "0e20060fc421e152eba9acb0fde65d3b2c51f049fccad09af5e9b9adfedc37e6bade",
"sigmaType": "Coll[SByte]",
"renderedValue": "060fc421e152eba9acb0fde65d3b2c51f049fccad09af5e9b9adfedc37e6bade"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20608a28e65bb3ee40790565c6fbe3fc02bb129ae7a283b13031959c94cb2e28e3",
"sigmaType": "Coll[SByte]",
"renderedValue": "608a28e65bb3ee40790565c6fbe3fc02bb129ae7a283b13031959c94cb2e28e3"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "a80301c5ef6420e24f62b9a6288be0ed14857bf268f18a2ffddbb4d4c7dc6366",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "13ab178aefed95da06f55bacf6596ccd804365c20ae1939c7f1f86f62e8d56cc",
"outputTransactionId": "bc189c1d8053264073879c451df565ede9c6cbd8492e9cacb4749cf7d5e9e5b1",
"outputIndex": 1,
"outputGlobalIndex": 47518146,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509356,
"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": "0e200a5d54b76826f8964ce3e730ae0cfd159e102adeebb9f58a80c5267a984e147f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a5d54b76826f8964ce3e730ae0cfd159e102adeebb9f58a80c5267a984e147f"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2022c61e87cb5c36f11ec5222dcc099068d32da8b77608d809a7b89c94543c4ece",
"sigmaType": "Coll[SByte]",
"renderedValue": "22c61e87cb5c36f11ec5222dcc099068d32da8b77608d809a7b89c94543c4ece"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "cdc255d0c166c1ddfbc0a8f908db99731006acf7e6ef1d150807e757dc4012cc",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "13ab178aefed95da06f55bacf6596ccd804365c20ae1939c7f1f86f62e8d56cc",
"outputTransactionId": "72ded022f7286ce9c628f2f8af041fff436547e98b52f7cf46e024fe3627b32e",
"outputIndex": 1,
"outputGlobalIndex": 47518154,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509356,
"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": "0e208b9dffc0d0d0aafd383f1d60f38c907d0b32f26d8dd977422ec558b6568c8234",
"sigmaType": "Coll[SByte]",
"renderedValue": "8b9dffc0d0d0aafd383f1d60f38c907d0b32f26d8dd977422ec558b6568c8234"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e207b91fb0d37f5319c6e9c2171057b0216e4db7e1b53cc3e5ec8c93594cf432911",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b91fb0d37f5319c6e9c2171057b0216e4db7e1b53cc3e5ec8c93594cf432911"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "7d4e2dd38c418ac804c9f396c731eef09badc360618909d0ba31dcbf8f389faa",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "1368b583b0690dca54fe17d4dc3a286518ac85768a613e593402c0e297160835",
"outputIndex": 1,
"outputGlobalIndex": 47518168,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2024331dafe6ad466b8dae2bc81b5809e69925cb459019249dc5513415df1b064a",
"sigmaType": "Coll[SByte]",
"renderedValue": "24331dafe6ad466b8dae2bc81b5809e69925cb459019249dc5513415df1b064a"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4c8b26a96ab468dbce8b8ea077e280abd9e8a3184e8fc8edd4301c899adf3630",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "5750760170d42cd7f4ab79d2f8334af738bb27b8b5b5b172933a8f93fd1e9c78",
"outputIndex": 1,
"outputGlobalIndex": 47518173,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e20d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2003aaa5cd1d965cf1dfc5a56a354b455d6d8864916e3095b234a5f73ebf25b10f",
"sigmaType": "Coll[SByte]",
"renderedValue": "03aaa5cd1d965cf1dfc5a56a354b455d6d8864916e3095b234a5f73ebf25b10f"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "35f7c0ed98ccda507a8b7dcf72fc21581af9d5f5113843b32d3153c1915099bc",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "9064396282cacf90827a36420c09bd62b2333ef14ca44ce5920f7bc44aaa76db",
"outputIndex": 1,
"outputGlobalIndex": 47518178,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e200476e87f6b710c3502b21a1d136254f5a5710364188462579470b11e91b61368",
"sigmaType": "Coll[SByte]",
"renderedValue": "0476e87f6b710c3502b21a1d136254f5a5710364188462579470b11e91b61368"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e204fc06c750d5083eed289b49953429ea3bc8d255bf249783f88a82d3ee37cdfdb",
"sigmaType": "Coll[SByte]",
"renderedValue": "4fc06c750d5083eed289b49953429ea3bc8d255bf249783f88a82d3ee37cdfdb"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "b741bce504dfb64b51cfff0e9e9e11b92a7d2de1122fdf200d1bf878a73b8214",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "085d56a4c3f792240b88cdace4d263d8e0978f2d392093b88300075bb8d90dba",
"outputIndex": 1,
"outputGlobalIndex": 47518199,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e20a8e60414a76b5d6c26f063f581a9d09692af1611e4db54e0a242c4300b5895f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8e60414a76b5d6c26f063f581a9d09692af1611e4db54e0a242c4300b5895f2"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2005d58c59c13302e4442eb4f40c7b6166c8c69a69f915de0423c4c2091180c807",
"sigmaType": "Coll[SByte]",
"renderedValue": "05d58c59c13302e4442eb4f40c7b6166c8c69a69f915de0423c4c2091180c807"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "3aafbe54c87efe9350b5e0a221ce29b4fdafd949f2a6a9f25bb814d22cb9daa0",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "0cc641b5a02ae0631a8bdb16f50eb8041423c7e405c741ae8a7da5728e75fcfe",
"outputIndex": 1,
"outputGlobalIndex": 47518204,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e20821afc097152f45a29d15e4d6aab4684b9351e0011cad32aac8f13c5021b88c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "821afc097152f45a29d15e4d6aab4684b9351e0011cad32aac8f13c5021b88c5"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20cf2bdb78d63d69cc0503501a540e9247e911ed8fbdfa0d8dda5b73cb5af6a651",
"sigmaType": "Coll[SByte]",
"renderedValue": "cf2bdb78d63d69cc0503501a540e9247e911ed8fbdfa0d8dda5b73cb5af6a651"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "1dabc131e1f94f07c5fb251d73f381e5034eaa888b79351707bc46b4e955bdff",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "3680337af6962e8aaa40a9b2e18f5c68a58a2cec466f47eae0e3e0482218b6c4",
"outputIndex": 1,
"outputGlobalIndex": 47518209,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20616cd444e3e481f17a2f8a65ce0acb62e2e6ce9591abea0027db3407c5fe654e",
"sigmaType": "Coll[SByte]",
"renderedValue": "616cd444e3e481f17a2f8a65ce0acb62e2e6ce9591abea0027db3407c5fe654e"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "15abfc6adf200bf7f33562e13a8e416ac1d241f653bf1c0d9c8c038ba3295fe0",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "43dd353c080518eb96c04ff15cc4c063f185d429abc58c46a7cc4ab6197be124",
"outputIndex": 1,
"outputGlobalIndex": 47518214,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2042e458bd93e848cbf53f4a62c0c7602881ab672aca600a20052ca28e03bfa9d0",
"sigmaType": "Coll[SByte]",
"renderedValue": "42e458bd93e848cbf53f4a62c0c7602881ab672aca600a20052ca28e03bfa9d0"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "dbb4aad80e2a55ba37ec1edf0c9661ed51bbabf5306f1448156529c7aa049bf1",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "4e7b2ddc839cffe43d6e38572d6818343d32f0d5e0adcaae32ed2e8eb0e9da0d",
"outputIndex": 1,
"outputGlobalIndex": 47518219,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e2097cd45c9dbdd3aae12bdf8473e39a9b4223bec8d55e2eb00383d71489d85b939",
"sigmaType": "Coll[SByte]",
"renderedValue": "97cd45c9dbdd3aae12bdf8473e39a9b4223bec8d55e2eb00383d71489d85b939"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20a219c0bac272a07f051c683192556deff3fb3f281290734956aa206b1bb19eab",
"sigmaType": "Coll[SByte]",
"renderedValue": "a219c0bac272a07f051c683192556deff3fb3f281290734956aa206b1bb19eab"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "98750a86c0f22a946fdd5db7792ff0a183a6eb5fdc8128b98c8ee5e146943d3f",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "4eed5723b6c084b91bb9e93d5b272beab2092320cccad13e40fa0183073c5c5d",
"outputIndex": 1,
"outputGlobalIndex": 47518224,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e206ae007ae2b7979590410eb93d0b9d4df234a30d24e508d986d99ca1a7c60d3fb",
"sigmaType": "Coll[SByte]",
"renderedValue": "6ae007ae2b7979590410eb93d0b9d4df234a30d24e508d986d99ca1a7c60d3fb"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "7337f0d03e6103284e3412c96f8d89bf5a7591d0c9249f6e90bec11c68eec0a5",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "6c051acdadf5946b42ed8841f6998f253c831e2bf2122cbd7ea642a4e0471515",
"outputIndex": 1,
"outputGlobalIndex": 47518229,
"outputCreatedAt": 1509354,
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"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": "0e20d5b216e026add4c3827a68aa3825ad979e2a04191f41a392fd9fa717750c2eb2",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5b216e026add4c3827a68aa3825ad979e2a04191f41a392fd9fa717750c2eb2"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20bc84c907d6dcf0d83d8cd745b94b2ec355433174791d082c08b3f4e42ce91731",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc84c907d6dcf0d83d8cd745b94b2ec355433174791d082c08b3f4e42ce91731"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "611b090d49467f1a1ad0bdaa1e206f0bfe52d4efeaed36d0e2575cdbc839fee0",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "6fdbddbf40e3d4966c1e5b44d2b6cc779b2e8fad48e722a8cafa4765f88303b9",
"outputIndex": 1,
"outputGlobalIndex": 47518234,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20e44bb7a43847b3f02c6d4b95a4f753f5bf5f4cc09d41723d34e47cbb3b71bdc2",
"sigmaType": "Coll[SByte]",
"renderedValue": "e44bb7a43847b3f02c6d4b95a4f753f5bf5f4cc09d41723d34e47cbb3b71bdc2"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "3d44fffdf8f58dbd24cc1238a76ecb2716782f882193ea4bd8ba0f92cb1a4fd3",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "81131fd63134f39ab9f88ea918457b7391e54b87d9b6c95885204347b665ffc3",
"outputIndex": 1,
"outputGlobalIndex": 47518239,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2055d25ab025f7ebe0db1c655040953ddcb4486a29f2d9e2f23822a937c0815d50",
"sigmaType": "Coll[SByte]",
"renderedValue": "55d25ab025f7ebe0db1c655040953ddcb4486a29f2d9e2f23822a937c0815d50"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "db001131157388d136f9213b566d57a4f83cf1c9a8d78c9e3a909a6055a481a7",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "b23116389e184034798a26f581038c5cb07f7206e88b0201ed6e3fdedaf335f0",
"outputIndex": 1,
"outputGlobalIndex": 47518244,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e20ba6e8c043bd6caa0eb3f538dba34561dd66ffd65322bb4b5a7efb891d9678cfc",
"sigmaType": "Coll[SByte]",
"renderedValue": "ba6e8c043bd6caa0eb3f538dba34561dd66ffd65322bb4b5a7efb891d9678cfc"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20994e64c9e95b1ba2933171e8881e5d27bb740a04377f1a7ecc904c137365e8c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "994e64c9e95b1ba2933171e8881e5d27bb740a04377f1a7ecc904c137365e8c2"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "e4e664a6ba06f1dca15bad0ce417f6e2505f7bca09c3073a5c8b2e7b5bbdd40e",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "b99df37d398c453e2f7dadad1101f61e882423b8ad0e3b655ff43d51e55b9a92",
"outputIndex": 1,
"outputGlobalIndex": 47518249,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e208ff1d892dc359903b1e2b6e7503dea637295ca2082e9aa597a31707930bff68e",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ff1d892dc359903b1e2b6e7503dea637295ca2082e9aa597a31707930bff68e"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20d4c953c4af293b3051f71260b4f749b89cb75c9d8504a7f23e17f852ea676963",
"sigmaType": "Coll[SByte]",
"renderedValue": "d4c953c4af293b3051f71260b4f749b89cb75c9d8504a7f23e17f852ea676963"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5255b1b11a494bc97913d198f23b536e2986672225759b7cafa0dfd2645a531f",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "c5586bcb2cbacb62acc0dc6066a89a10467c2648ebb174720238972d87e6a812",
"outputIndex": 1,
"outputGlobalIndex": 47518254,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e20b425e7d3b39b64f31eba93da7a9aaa85675781cbcebb9cb28b29405ef730573b",
"sigmaType": "Coll[SByte]",
"renderedValue": "b425e7d3b39b64f31eba93da7a9aaa85675781cbcebb9cb28b29405ef730573b"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "22e8a8b1f42dc0ea79f7e70426fc7163aa4520d9ac6fe625cc093506932de8de",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "cacf35bc031d0027e8a018bf3a790e04b850b166a7ddc91eddcc6c5872e1b002",
"outputIndex": 1,
"outputGlobalIndex": 47518259,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e2040f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85",
"sigmaType": "Coll[SByte]",
"renderedValue": "40f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e200cab84b8183601f1b50d054e9f9207c399fbb877097126a394f0e6a47afecffb",
"sigmaType": "Coll[SByte]",
"renderedValue": "0cab84b8183601f1b50d054e9f9207c399fbb877097126a394f0e6a47afecffb"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f4863685b9527328b15b05b722b546995bde8e52c20ea6d4029c698b32e111d3",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "cf3935d195345dacb43b016de970df0128ca04b170b66447d74769ac94d3ded6",
"outputIndex": 1,
"outputGlobalIndex": 47518264,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2017a03f2fb2d743129b741e629435fad2f60e250b9e8502529277a490d2b71acb",
"sigmaType": "Coll[SByte]",
"renderedValue": "17a03f2fb2d743129b741e629435fad2f60e250b9e8502529277a490d2b71acb"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "3f3fd4a48adf6106d58f5ce413de0a48f3cf0274b0cd43fccb8c410466ca5ae9",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "d797687d6398f52684750014483df1459af9fd909c0fe3a2b28a5bc0b951c054",
"outputIndex": 1,
"outputGlobalIndex": 47518269,
"outputCreatedAt": 1509354,
"outputSettledAt": 1509357,
"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": "0e2072fcd653a0da887ded085d4f97aa26e3e6d8433e31b6cbbbfb1fe10a3cdc2675",
"sigmaType": "Coll[SByte]",
"renderedValue": "72fcd653a0da887ded085d4f97aa26e3e6d8433e31b6cbbbfb1fe10a3cdc2675"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e203e66f88c3a45fe35cbabfbb59f22f44971a850a825d05f88c5afb27bffed606d",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e66f88c3a45fe35cbabfbb59f22f44971a850a825d05f88c5afb27bffed606d"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "0d477f0ca426911015fb7f68382a542069707613d0eda46ac7066945f7ede33f",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "ae5c5fc996f2426edb30f7dc6f1a89d8ee9c7d1d6979156324542e0d5d71636c",
"outputTransactionId": "fa9affc361f40f9bb60105b90d5f551f6450fc970bd3203894e25cad1f6ee259",
"outputIndex": 1,
"outputGlobalIndex": 47518274,
"outputCreatedAt": 1509355,
"outputSettledAt": 1509357,
"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": "0e20d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50",
"sigmaType": "Coll[SByte]",
"renderedValue": "d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50"
},
"R5": {
"serializedValue": "0e209c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c768de1b78a05c25e99f5a37e01f96cadb7241e9b58333fb8768528a32c7a47"
},
"R6": {
"serializedValue": "0e2056fcfa6e89338e2081ad50cbbe66d1c1af7bdf7340d9fef078a9d64ffe0dde09",
"sigmaType": "Coll[SByte]",
"renderedValue": "56fcfa6e89338e2081ad50cbbe66d1c1af7bdf7340d9fef078a9d64ffe0dde09"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "73a97ae8f3101e6b0bfb6e9d55637a20278ee9b49e3a04eb282dcb47d9cdae4c",
"value": 6000000,
"index": 26,
"spendingProof": "30bbdcb54defc8a72cc92ccd386ce56303821f9da585c4ca5fc2322ef7d969464d289d3c84c39874a8f92a0da5461749465b030401971cd6",
"outputBlockId": "1906acda172d52dab7b6d7829e97805ddc0d7c2d71bc838ea4e4858f2b90c294",
"outputTransactionId": "659e3ad465467c58b97894aaa37ee8dbaf20e6baae8341304eba886c955185eb",
"outputIndex": 1,
"outputGlobalIndex": 47271275,
"outputCreatedAt": 1500128,
"outputSettledAt": 1500134,
"ergoTree": "0008cd02bc36526424f81343d527f67b3c696fa352aed56587a1577965a004b0e2f835da",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc3652,b9f885,...)))}",
"address": "9fwx9F5D72kft9Ji1Ez8QNLwHxVaCELphuZdMRy6vR5mejFrP5u",
"assets": [],
"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": "5a7db433a5dc4319e2cadbd4c8e679d9366403e77006b07800c30b54798fcff6",
"value": 1100000,
"index": 1,
"outputBlockId": "44156d023c8dd5162961f2c8872c2e3d0bbc7d27fe572b65feeae47b0ab2c9cf",
"outputTransactionId": "d697cd25bb4ea8ca2f2a038c2275eb318afef7bc679eda736c46fa1bf2af0baa",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "0538",
"sigmaType": "SLong",
"renderedValue": "28"
}
}
}
],
"outputs": [
{
"boxId": "6bfd66f6ac3c9f1f882fd57e6ae0d0aec70d29f64f171159663560d87a95d496",
"transactionId": "527b24199a7c3a22300fdf504e340037e3d2619999c63fdf6117fbd1e705eb3d",
"blockId": "d696fa46c0ac979f99fe1238f9b74d48231de1d14238e43ae596be14352a6ee6",
"value": 52000000,
"index": 0,
"globalIndex": 47518376,
"creationHeight": 1509357,
"settlementHeight": 1509361,
"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": 78000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d1c3923e7e4d01739f81022fc05a8f61b580dd2ffb331c77faab09fdf8c073a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "d1c3923e7e4d01739f81022fc05a8f61b580dd2ffb331c77faab09fdf8c073a2"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307862373362376533393938363962646164323335346661333132633433656365356633313337616631316638356662313062656538393734393831653833646661,62696e616e6365,63617264616e6f,307838663764613637323464653232383463366534386537353666623664363935396465356638636639,616464723171397637393261706c763974636364377538366c6e666d6a363935706b3677756e767575327a70336c35683673723472356b61646d63346c787634776e377871617937733238766b64713761676630373577667133677773386170716167706e786d,000000ebfb64c5c0,00000001a6531a1b,0000000067fffe18,307835303261363431646563666533326231653364303330653035656666623861653531343665363462,62376335636435353466336538336338616130393030613063393035333238346135333438323434643233643034303663323865616634642e35303431346334643061,307836333135396661623531303030343730643830363934363536356633353633323536366662383430306333306661383230633866316539623233346534336236,0000000002e575db]"
},
"R6": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
},
"R7": {
"serializedValue": "0434",
"sigmaType": "SInt",
"renderedValue": "26"
}
},
"spentTransactionId": "11d893943e84426ce16998e67fa6da90870f99521f82f20b100dbdeb26e93cf0",
"mainChain": true
},
{
"boxId": "1be4fa308f34e792e245f06a1977a8b9e5816b5dce39ca5165bcbc124ea8496d",
"transactionId": "527b24199a7c3a22300fdf504e340037e3d2619999c63fdf6117fbd1e705eb3d",
"blockId": "d696fa46c0ac979f99fe1238f9b74d48231de1d14238e43ae596be14352a6ee6",
"value": 3950000,
"index": 1,
"globalIndex": 47518377,
"creationHeight": 1509357,
"settlementHeight": 1509361,
"ergoTree": "0008cd02bc36526424f81343d527f67b3c696fa352aed56587a1577965a004b0e2f835da",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc3652,b9f885,...)))}",
"address": "9fwx9F5D72kft9Ji1Ez8QNLwHxVaCELphuZdMRy6vR5mejFrP5u",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "934c54e021cbce25275e85750c4bcb279e296735086557026f6860ef73a905e2",
"mainChain": true
},
{
"boxId": "bd6f97390828f5443b40fb40c9784816b38ad6f7315bfb7a70d1f6727cbf455f",
"transactionId": "527b24199a7c3a22300fdf504e340037e3d2619999c63fdf6117fbd1e705eb3d",
"blockId": "d696fa46c0ac979f99fe1238f9b74d48231de1d14238e43ae596be14352a6ee6",
"value": 2050000,
"index": 2,
"globalIndex": 47518378,
"creationHeight": 1509357,
"settlementHeight": 1509361,
"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": "1360a72975930504e2d627ba8a791a8a428dc351bf9960379a78e4349816800f",
"mainChain": true
}
],
"size": 2137,
"isUnconfirmed": false
}