Transaction
ID: feac77c7de...94c9
Inputs (51)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
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:
0.00101 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.996 ERG
Tokens:
77.25
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.09701 ERG
Tokens:
147,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.996 ERG
Tokens:
78.92
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 467,236
Total coins transferred: 1.1 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000066 ERG
Raw Transaction Data
{
"id": "feac77c7de62cc945ee45b2ca7432f329bdb07f581272640f67184f1adee94c9",
"blockId": "4c213971c01a10baac540a0fb3e213843a39e881a211d74407f9d249afa5ebcb",
"inclusionHeight": 1299524,
"timestamp": 1719958176183,
"index": 4,
"globalIndex": 7428697,
"numConfirmations": 467236,
"inputs": [
{
"boxId": "c011c630ff14edf0e0fedd43c44168a064e69126ecb5e561111c4a3dd45f5f2b",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "30bdc44594bb6f36319cc63f9e98a6f5edfc8bda4d676957b983f949128aeab0",
"outputIndex": 1,
"outputGlobalIndex": 41199807,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2035fd2be7fb75ef09c0310ff9d78711e01c52e665ec35b476df995ce2d007d134",
"sigmaType": "Coll[SByte]",
"renderedValue": "35fd2be7fb75ef09c0310ff9d78711e01c52e665ec35b476df995ce2d007d134"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e203cfc10de95d673b6eb85e6002fd5f804227a8ac532b24beb520b9d28a9d59e04",
"sigmaType": "Coll[SByte]",
"renderedValue": "3cfc10de95d673b6eb85e6002fd5f804227a8ac532b24beb520b9d28a9d59e04"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "90814db0d62444a801592dcb442692f7548635c16a0ecd62071b0a1869fedf52",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "f5b5f7f014d5eca7529b742864d389093a262f61d0043df74030bf5bac1abe3c",
"outputIndex": 1,
"outputGlobalIndex": 41199812,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200f1620c324040061337672243aab5ce2c5987d6a00ec762aa6b07478bffb7cef",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f1620c324040061337672243aab5ce2c5987d6a00ec762aa6b07478bffb7cef"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20de433c775f75c8088249802c1d63cd5ead518bf39b9362704fb01d92aa2c7169",
"sigmaType": "Coll[SByte]",
"renderedValue": "de433c775f75c8088249802c1d63cd5ead518bf39b9362704fb01d92aa2c7169"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "c5ff4330283225b68b792fea86cbe927955b304e24defb09c5f00f96aea56e9e",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "0388ed39de3cddb6d493ffedd76f4235488b3b85c66097954fc26906da18d225",
"outputIndex": 1,
"outputGlobalIndex": 41199817,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208fa39cb79a41669f5bf85c6fc6fdff2938db8d3c93e715656a186249adab8a12",
"sigmaType": "Coll[SByte]",
"renderedValue": "8fa39cb79a41669f5bf85c6fc6fdff2938db8d3c93e715656a186249adab8a12"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20d15a4d2b953f1465300382833398c2ef73efabe3553f739c3ef5973e1f808140",
"sigmaType": "Coll[SByte]",
"renderedValue": "d15a4d2b953f1465300382833398c2ef73efabe3553f739c3ef5973e1f808140"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "d4c9ac6979fbc1a79bcd956d62fceb0bb5ec6ad37624e8bff13fd3b08af01f16",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "07608f529f0928b536eea0dc5707250d556fed7cd69c26414783bd70ef2126bf",
"outputIndex": 1,
"outputGlobalIndex": 41199822,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207d8b2efeb2bcff1c4196bf2daa34c66aadcd455c78585ec7e5bb1f3b4066179b",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d8b2efeb2bcff1c4196bf2daa34c66aadcd455c78585ec7e5bb1f3b4066179b"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20b610a4eb2e273bf057593f3d48ebf93c1792001ffd9a1e7661b4da21e090fcbb",
"sigmaType": "Coll[SByte]",
"renderedValue": "b610a4eb2e273bf057593f3d48ebf93c1792001ffd9a1e7661b4da21e090fcbb"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "97710e39481934c9b46f3e5a900b3a521add14a90a3991eb78d7a37769523758",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "09c51a34edace97fb6e5a179bb4574b20e33cc6ee3d61c19ba8d606b6c5ab398",
"outputIndex": 1,
"outputGlobalIndex": 41199827,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2051e2f6c7a59ba93bc385da99efbf9fe97f5ef4d49db9b65e69d467108b71e3af",
"sigmaType": "Coll[SByte]",
"renderedValue": "51e2f6c7a59ba93bc385da99efbf9fe97f5ef4d49db9b65e69d467108b71e3af"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e200bd9c69a4103ffd3ccbf9ac58dc233848b20004e25b0c30d92c335406a8797a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "0bd9c69a4103ffd3ccbf9ac58dc233848b20004e25b0c30d92c335406a8797a2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "8e935a7821bc943ffe7004462271f3d6bf588f50deee41e1cc0f27427bf7f963",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "0faa284158d84cb5fd4e09daa37d76b6aff0a04a9a3bc92a306972ef3619bc4c",
"outputIndex": 1,
"outputGlobalIndex": 41199832,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2085acb6414b6d884a3368b678b9ae0eb69d465fd962074cba9d8c0d7aea8fd2c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "85acb6414b6d884a3368b678b9ae0eb69d465fd962074cba9d8c0d7aea8fd2c6"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2045e33eaf27e7d78be8f9c7219016606303082d39b6044c6228df4c8304746f87",
"sigmaType": "Coll[SByte]",
"renderedValue": "45e33eaf27e7d78be8f9c7219016606303082d39b6044c6228df4c8304746f87"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3d8d02606baf2d5758f36c12bb6f2e1f0c8cd85f73c6c840e6439e298749ae50",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "15777cdc56d89ba6ab047f2766554aa3a156a3e9dacd15932935d23af7772a0e",
"outputIndex": 1,
"outputGlobalIndex": 41199837,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bca35449a1437e108bbab48ab85fc480cfe89f5a96b490dbfa9ef73e037a4bd3",
"sigmaType": "Coll[SByte]",
"renderedValue": "bca35449a1437e108bbab48ab85fc480cfe89f5a96b490dbfa9ef73e037a4bd3"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2027a4ba3bf697dd0e724e1240ba38a4c05283afb9a25e7c7c81b9a7cfb6de0b26",
"sigmaType": "Coll[SByte]",
"renderedValue": "27a4ba3bf697dd0e724e1240ba38a4c05283afb9a25e7c7c81b9a7cfb6de0b26"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2037aebff3656a4e63b2a2c1dce7c50f3c9dbea4e4a5728f7b5400ca3a0d7b11",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "1cdb538fd6c343c003925d106784f33af152d50d718ec88509ff3a8115297c49",
"outputIndex": 1,
"outputGlobalIndex": 41199842,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207cc1fb809e374aeea894801d1a833da85406f09a7469a8ab3baffe2c72fa8bdc",
"sigmaType": "Coll[SByte]",
"renderedValue": "7cc1fb809e374aeea894801d1a833da85406f09a7469a8ab3baffe2c72fa8bdc"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e202e7edb184be03d6d08eb5b7a709295d78456b874b1f728dcd15edd21187166a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "2e7edb184be03d6d08eb5b7a709295d78456b874b1f728dcd15edd21187166a1"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "f7d14404b8536c0e05d3e97369a2521fe24b1252a3f9c5c4d76d2fcb79ed09ce",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "1ddcd0aa0a8c980358aff60058e2b2ee61e05d2a5ef4828eebc3c3647f2244c0",
"outputIndex": 1,
"outputGlobalIndex": 41199847,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20436ee682e6b6575c100664eabfcfa9c7e401c10a5adf559950e2d66b3a359ef0",
"sigmaType": "Coll[SByte]",
"renderedValue": "436ee682e6b6575c100664eabfcfa9c7e401c10a5adf559950e2d66b3a359ef0"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20acf71a23f31b5ac1c9cacbe70ccc808b645addabfa84f7e14abf8a95b828c8ea",
"sigmaType": "Coll[SByte]",
"renderedValue": "acf71a23f31b5ac1c9cacbe70ccc808b645addabfa84f7e14abf8a95b828c8ea"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "594815ae63972a8818b227efa23514a0d2abf5b4f7b2ecef9f454220137f8574",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "3ff2be23c37a201d8e73b345885a15e6989eff92e72f9f915cd1187582c9c87e",
"outputIndex": 1,
"outputGlobalIndex": 41199852,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d06f647ac00d1a312b0410c5f90245749cf7e44e6ae96657327b5119318552ef",
"sigmaType": "Coll[SByte]",
"renderedValue": "d06f647ac00d1a312b0410c5f90245749cf7e44e6ae96657327b5119318552ef"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20933600b28aeea574df431542e4d50ea7cbfb2ea7d333782817dbc8a4e9b88753",
"sigmaType": "Coll[SByte]",
"renderedValue": "933600b28aeea574df431542e4d50ea7cbfb2ea7d333782817dbc8a4e9b88753"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "435e53c916872ffdf52a49e2875b5f3b3c4efc9ee7138988568aee28c74ad3a6",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "3ffdb3901d27280a063d1f1d666102b17aae6b3dd397ec2b11a6e7e96e25d3e7",
"outputIndex": 1,
"outputGlobalIndex": 41199857,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a744b925238716d6a890f19944246b5d5f20ee0ae098728356d42343fb568b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a744b925238716d6a890f19944246b5d5f20ee0ae098728356d42343fb568b6"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20b81f183babf1f0a1373c92f68cac0ecf8b266b80fbed66b966d10a9c3e0d2537",
"sigmaType": "Coll[SByte]",
"renderedValue": "b81f183babf1f0a1373c92f68cac0ecf8b266b80fbed66b966d10a9c3e0d2537"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "1ab2d0d5bc86ffc31774ff419dc04e3d874f41c76fff5322d94216a8c7ef7f80",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "47d8e5637cef969d17589d07f689128b6d4dd5a024e59ad92630b24078993787",
"outputIndex": 1,
"outputGlobalIndex": 41199862,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20b742669356bd5034dc70aa04c518c9b14c3546611ae289d7c3f90fd9dcb7055a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b742669356bd5034dc70aa04c518c9b14c3546611ae289d7c3f90fd9dcb7055a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "ea2a5fe37713a9dca6c8379a88650567d55d6b7b600105a9470be5121c3c0666",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "485118821cd6b96833f68adb9c3cd3b5a26a739ba9f7d0f351fab9d7ab6444b1",
"outputIndex": 1,
"outputGlobalIndex": 41199867,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd733b4db39cb1d4b60411add5887bade9a922d35c6b60b85dd2ab61b5b8271b",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd733b4db39cb1d4b60411add5887bade9a922d35c6b60b85dd2ab61b5b8271b"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20d88b9e5eb29ecdf27c6cc4d292d6ecfdcd1e1c865bc71dd030bc64802a31815d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d88b9e5eb29ecdf27c6cc4d292d6ecfdcd1e1c865bc71dd030bc64802a31815d"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "8eed239eb9504b94dca508127b527c1357bf524778b8d2773ebc1abd96dc9ded",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "4cd1fe57fd2cca6fb07068aaace63d1c69663799d41aa465f5b5c4b7643e824b",
"outputIndex": 1,
"outputGlobalIndex": 41199872,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e5a066f2c79159c98ed889bcf228202bcb63b96accd1fad80bbaa6262072f268",
"sigmaType": "Coll[SByte]",
"renderedValue": "e5a066f2c79159c98ed889bcf228202bcb63b96accd1fad80bbaa6262072f268"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20c8968787f900e9d793b7a7e36996ea82764f24bd36aad734a4882cc8c909e1b1",
"sigmaType": "Coll[SByte]",
"renderedValue": "c8968787f900e9d793b7a7e36996ea82764f24bd36aad734a4882cc8c909e1b1"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2a6fefd9e211621843bb809971a66883613f16286366a3f538768473f1310ae9",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "52fe050f37fa749f5e5a357c57b915e6b112845f6cad1e35a120b86657d0f6fb",
"outputIndex": 1,
"outputGlobalIndex": 41199877,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1d8045ce80152802a1d29c92be1e8cbcabe857d1331869575c49ee4af938ee5",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1d8045ce80152802a1d29c92be1e8cbcabe857d1331869575c49ee4af938ee5"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20289fdbd977deb19529f47c99bb6c4137d2ba171890b3bebaf9602a462366a347",
"sigmaType": "Coll[SByte]",
"renderedValue": "289fdbd977deb19529f47c99bb6c4137d2ba171890b3bebaf9602a462366a347"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "879eb35465c4c31969389fb654f56cbd3d392e755f8b2d6b461c1e5f74da3d53",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "54608731e01f4a3b3828e736b96f5cf8ec795e429cc11bdf1413103c9f5a1574",
"outputIndex": 1,
"outputGlobalIndex": 41199882,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20815b7aa090dc22e8933c4a8d1d4810010b6bf935f90675fbc8229c74a675f702",
"sigmaType": "Coll[SByte]",
"renderedValue": "815b7aa090dc22e8933c4a8d1d4810010b6bf935f90675fbc8229c74a675f702"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e200a90341124ad5d2df8ca36593ae3960a42d44a1ea12cf1c514ba1ed4b2018044",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a90341124ad5d2df8ca36593ae3960a42d44a1ea12cf1c514ba1ed4b2018044"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "68df8b251be22b011a3c1724b8510bb377b9dfcbc9a2b2e2ce8d75eebba29990",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "5e5b25b8af75f5a1c2ecdb448da31f5238c567df82e030724ddcc26659231d77",
"outputIndex": 1,
"outputGlobalIndex": 41199887,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2043238051631a4a9d144adefefd51a76a8dd116753661a6a98994905c5b6e6bae",
"sigmaType": "Coll[SByte]",
"renderedValue": "43238051631a4a9d144adefefd51a76a8dd116753661a6a98994905c5b6e6bae"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e204d9d0022e14d1af6f05ca74d29007ec366fec93e31af8bd442e9aa3ec6fde4e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d9d0022e14d1af6f05ca74d29007ec366fec93e31af8bd442e9aa3ec6fde4e1"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "efe87ce41f0f683422ccaa2208977725b4ba30825d5eb7743d02c14c6cc09388",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "6524a32403633d7022035aa268cd679f7bddffb32bdd501e800c4e56fad681bb",
"outputIndex": 1,
"outputGlobalIndex": 41199892,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391",
"sigmaType": "Coll[SByte]",
"renderedValue": "b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20a1a35f7c39c002d9819b231e8ee4a261cea9f833ed0a73f2ce863d127ce8999b",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1a35f7c39c002d9819b231e8ee4a261cea9f833ed0a73f2ce863d127ce8999b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "ccd929dbf916f9469f190e8d3029ab7c29f42e03e141fb72dd3301000769f3df",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "7c6cd5057d81c96cfdf3f6f684495ec4220e1df77e48fa0bcff4b8e128e6042c",
"outputIndex": 1,
"outputGlobalIndex": 41199897,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20431f83eb6eab400f26562387b37d92abf78521de8e51885cb9f8ea64959dfa71",
"sigmaType": "Coll[SByte]",
"renderedValue": "431f83eb6eab400f26562387b37d92abf78521de8e51885cb9f8ea64959dfa71"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20e89f2b81c15e8b061f3a08d0fc8cbabf4e7f8d14e126dec41099cdb6f123869b",
"sigmaType": "Coll[SByte]",
"renderedValue": "e89f2b81c15e8b061f3a08d0fc8cbabf4e7f8d14e126dec41099cdb6f123869b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4c7c88765a62cbad355626e1935aac4072a477fdeda588e4c0a3c56a01f32676",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "7c795ef6f3c822b511d22f69adfc8ecc04cb87f77712efe3ebf4df6af692f05c",
"outputIndex": 1,
"outputGlobalIndex": 41199902,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208ed8fdee85a640e7f49ddd4fb4c6d4a97e0e4b63306b4f26e8ed8335b3973849",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ed8fdee85a640e7f49ddd4fb4c6d4a97e0e4b63306b4f26e8ed8335b3973849"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20ca5e9d2a3087e9a348111d65fe688596593b1a0d6cb09b1d418c76637cd8b4df",
"sigmaType": "Coll[SByte]",
"renderedValue": "ca5e9d2a3087e9a348111d65fe688596593b1a0d6cb09b1d418c76637cd8b4df"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5186a6d9b39012c68161890dbf68ecf6cd76e0eb795a9f39ddc8d557fa0c2568",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "8d507dfd0081aaee2eb5c4f4cce5e46991daabf97e5db7a7d0ed5d5dffb040f3",
"outputIndex": 1,
"outputGlobalIndex": 41199907,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208a5f6fec7dd9e3f3dab4783fa28d80abd7e63307110b05b75d81e8fc3015c5e3",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a5f6fec7dd9e3f3dab4783fa28d80abd7e63307110b05b75d81e8fc3015c5e3"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20f2bb93b7842075610fb344b15fa8a49445c17dbe4f9320b88a7970bc25ab41da",
"sigmaType": "Coll[SByte]",
"renderedValue": "f2bb93b7842075610fb344b15fa8a49445c17dbe4f9320b88a7970bc25ab41da"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "72a885a6126f8ec5a20cc01283bff49ce8aa9e970fea6fad41b9d3c09716a886",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "8d5ef8e8ab2a6075c5d8b34eedc39d551e57b61a3cc393d38aab49e6acc51ce3",
"outputIndex": 1,
"outputGlobalIndex": 41199912,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207652c07ae16f7b6259bc96ae68845aecdc661c9b60d663ab97947f9ebf9aa6a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "7652c07ae16f7b6259bc96ae68845aecdc661c9b60d663ab97947f9ebf9aa6a9"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e207ad0eb4ae24fd16c573db16aa4d018761c232e03ab16ae56681b804d68fac589",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ad0eb4ae24fd16c573db16aa4d018761c232e03ab16ae56681b804d68fac589"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e5b13da647f86bed06864b7a57f4cda5980584f98804e8762aa7d7f2c0e6254f",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "97d90caf3d6f5e2d55804fd68d8b599947912f553550574494099d17e4806507",
"outputIndex": 1,
"outputGlobalIndex": 41199917,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a19f01f38cd023531fef00cefc86e5d2b45e493d05934cd330743db82203d00",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a19f01f38cd023531fef00cefc86e5d2b45e493d05934cd330743db82203d00"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2022c844b24fe3acd0cf28324ec475974884e335c39d725670b34fa20747259322",
"sigmaType": "Coll[SByte]",
"renderedValue": "22c844b24fe3acd0cf28324ec475974884e335c39d725670b34fa20747259322"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a1e836c0a0324af53601fce332269d498b20df25fbac805a6ffe65560ec71c99",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "97f89a5a3c398bd312f4c679dd3acbfdf2fd1f7383694d3e5f17d27108f6fc05",
"outputIndex": 1,
"outputGlobalIndex": 41199922,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fe362f1040820f1d8939a279369a0115f69d69233333328cc346181c599e0dad",
"sigmaType": "Coll[SByte]",
"renderedValue": "fe362f1040820f1d8939a279369a0115f69d69233333328cc346181c599e0dad"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20d1524839969d82c56aa23b36112e49f8c857f6bfda1f31c4223f63549c4fadda",
"sigmaType": "Coll[SByte]",
"renderedValue": "d1524839969d82c56aa23b36112e49f8c857f6bfda1f31c4223f63549c4fadda"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "ca3a1d6c486f124991d893d6380b10dc0a6f6d49fa9efe3a05eff79a27e17b22",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "9eb351718d30e2ae37e481a4bd81bb26f484eeacf1c44e41ab6fa0e60cda046b",
"outputIndex": 1,
"outputGlobalIndex": 41199927,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200c13d53a2deb09c77b4189fb5b181d063a933b162dd1b81b23f2c058e0ce99c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c13d53a2deb09c77b4189fb5b181d063a933b162dd1b81b23f2c058e0ce99c9"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20e4542b046afd802a764346dc7d128198064907e6b32344bb30dbc81be9ff50fe",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4542b046afd802a764346dc7d128198064907e6b32344bb30dbc81be9ff50fe"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "c95f27bcf424b61dbe9b84ec8f6f6a2be0f108707eb330518369e14d4e94aade",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "a0bf2794b64c0f4faf14e3e0794b2237fdd32d983b5f1cf4665fa455ad823cc7",
"outputIndex": 1,
"outputGlobalIndex": 41199932,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760",
"sigmaType": "Coll[SByte]",
"renderedValue": "0df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2051b2018f05b26cf7d290bee693342ac7cf7a62bbe2e8273c013eb1da79b11e7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "51b2018f05b26cf7d290bee693342ac7cf7a62bbe2e8273c013eb1da79b11e7b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3caba6bef3c936b5477c0947b3fe1989e88f3034a11002be6340401a41849a66",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "a59e6c986bf58ac217a24c6e5ba36c010133ea54b1d012e1b21c81292b502697",
"outputIndex": 1,
"outputGlobalIndex": 41199937,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bf4141a39a80797e28d31d435ce85051f67cce069bbf271010b31bb8e7849cba",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf4141a39a80797e28d31d435ce85051f67cce069bbf271010b31bb8e7849cba"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e205f2034d11623970f7ca4a9f0c0d386e03edb35d915066ee98d9e0b9c39841e2b",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f2034d11623970f7ca4a9f0c0d386e03edb35d915066ee98d9e0b9c39841e2b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3994bca3907e9e4ac0000313e1e4d778bb12f88489956adfca5cb519069c71c6",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "a6b856233353e9af550c75ea558b87c3f572b651fe4d9863012485b6bad622d9",
"outputIndex": 1,
"outputGlobalIndex": 41199942,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205f71a08452d439ec2db94ced10c7f50bd4ec0150191877880ef784568e040c06",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f71a08452d439ec2db94ced10c7f50bd4ec0150191877880ef784568e040c06"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20068d04d7523a69d80cf326a6fa5b7aa36a2ce8674307baeff8cff62b7b34fcf3",
"sigmaType": "Coll[SByte]",
"renderedValue": "068d04d7523a69d80cf326a6fa5b7aa36a2ce8674307baeff8cff62b7b34fcf3"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5a05a804dbb372cb6be8667234478359e746ac4c6ca9cb92e23271e5e51a1d93",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "a6ce542f428dc125f4414f4b24eb9dc259b3a6d32a26124901e8498c160f3b0e",
"outputIndex": 1,
"outputGlobalIndex": 41199947,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202763e1d665de410e8a0d72aa02624cc8fc6bc1847c9b14bce7f18b73c89c8a6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "2763e1d665de410e8a0d72aa02624cc8fc6bc1847c9b14bce7f18b73c89c8a6e"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20d75e29ee47e8baba7ed59291951e5d323dcd1b9bae543290e19a6a0b0bbbee37",
"sigmaType": "Coll[SByte]",
"renderedValue": "d75e29ee47e8baba7ed59291951e5d323dcd1b9bae543290e19a6a0b0bbbee37"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "da5929de9b5348fdf46f2b9382509540bb427856b9d70feccae13c8200572ab5",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "afe516f8bb15f54308bd7a0539f4d88b0330edf25fa3eed766ccc989a12963ff",
"outputIndex": 1,
"outputGlobalIndex": 41199952,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e204261f3874503689c02f0ec762690f2692f43617aab974a94db91eb094bafe685",
"sigmaType": "Coll[SByte]",
"renderedValue": "4261f3874503689c02f0ec762690f2692f43617aab974a94db91eb094bafe685"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "bca4a8d81e6393a28966347d950c1ba50a7d2f291433f38b61d7550295b6615e",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "b3d2438baec69afd54b7bf418b8f104cb7606967267689d9a956912a66dd33db",
"outputIndex": 1,
"outputGlobalIndex": 41199957,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203cd7fc0178e56597087163794434bf8a0c60f73d87f021766f09db0ec48261df",
"sigmaType": "Coll[SByte]",
"renderedValue": "3cd7fc0178e56597087163794434bf8a0c60f73d87f021766f09db0ec48261df"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2028ac3e3a5bbcae79357b156f1da0f66a6a905235e30b7e6abef827347b454ea3",
"sigmaType": "Coll[SByte]",
"renderedValue": "28ac3e3a5bbcae79357b156f1da0f66a6a905235e30b7e6abef827347b454ea3"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e505d65c04e0da862ac8468106fe13023c098b3b827acd27810f566d8f9b50c6",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "c174ddd0d35324126f537ac2c395d73cea6a327a8c41a200fe8d8a82ef7a148f",
"outputIndex": 1,
"outputGlobalIndex": 41199962,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2041bf9b6d2ff891096f00f6d75e19a45e3e4a338b76a2597e8f26b846d8a3f54b",
"sigmaType": "Coll[SByte]",
"renderedValue": "41bf9b6d2ff891096f00f6d75e19a45e3e4a338b76a2597e8f26b846d8a3f54b"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e208383c70c46254864aba4de35cd663150044e647451c06724941a307c28dffd65",
"sigmaType": "Coll[SByte]",
"renderedValue": "8383c70c46254864aba4de35cd663150044e647451c06724941a307c28dffd65"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "ae4535518eb6b48b35c26db36d697d1206fa410669fe2247ba4ef5517770d12c",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "c611f20dbe15e83e35d32300cd2957d18a58a9ebf2619ce49a10d51556ecab00",
"outputIndex": 1,
"outputGlobalIndex": 41199967,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203719f5f314ad710849370447de39b443dcc8de51acc232f9a0b250e25f218bbc",
"sigmaType": "Coll[SByte]",
"renderedValue": "3719f5f314ad710849370447de39b443dcc8de51acc232f9a0b250e25f218bbc"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e201288b0bd316574e6a0b27532629fc6def391a9c3d726dbcc13e04881a3939af6",
"sigmaType": "Coll[SByte]",
"renderedValue": "1288b0bd316574e6a0b27532629fc6def391a9c3d726dbcc13e04881a3939af6"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "6ef36370c8220b95987d5046d76773b2f783a46e6432d6d964f94dcdf3e27f6a",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "cb5ea28052537498b1e7799deca5b0ed15763b46daa511d725a3ca873ade4fa5",
"outputIndex": 1,
"outputGlobalIndex": 41199972,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200284ecf734b34f6ba74401d07051be7a4f0877711c9d0af7f88333d21944c732",
"sigmaType": "Coll[SByte]",
"renderedValue": "0284ecf734b34f6ba74401d07051be7a4f0877711c9d0af7f88333d21944c732"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e202efae4fd5637c5768a714a2035fdcc82793d1ce016aaf9120b5c0b6ff6ef22e9",
"sigmaType": "Coll[SByte]",
"renderedValue": "2efae4fd5637c5768a714a2035fdcc82793d1ce016aaf9120b5c0b6ff6ef22e9"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "19be7221380caefdf84aa417811ed1c06aee452d166672f6affbb26b496519c8",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "e437a814136f4e5becdb0fe3189f05dbd4a3a6fe9e324659204586a92d672220",
"outputIndex": 1,
"outputGlobalIndex": 41199977,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208def6bde07213f924716cd1914bc7cd2d36c95afe7fcc6115b67f1b2524b47b8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8def6bde07213f924716cd1914bc7cd2d36c95afe7fcc6115b67f1b2524b47b8"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20d3a73313c73f4547793641e30674b31b400476e2cff95ed1e2a7a0cf912687fc",
"sigmaType": "Coll[SByte]",
"renderedValue": "d3a73313c73f4547793641e30674b31b400476e2cff95ed1e2a7a0cf912687fc"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "347f62fde0ee6aeca9b766cb9fcb1ea17c86b9ae03108d19011ba4d64a14908c",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "e8510d274321fec52c9044136e8de83511ed7613bcdfc4cb983472f755e749c8",
"outputIndex": 1,
"outputGlobalIndex": 41199982,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206b91d83cf0e2d4fb73dea49a9823cc0f166d1b161225fc497fa1d54f858f9495",
"sigmaType": "Coll[SByte]",
"renderedValue": "6b91d83cf0e2d4fb73dea49a9823cc0f166d1b161225fc497fa1d54f858f9495"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e200778109b28218a32db6c5f66b4525316244bf7f20aecd294156ce0159d758b3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0778109b28218a32db6c5f66b4525316244bf7f20aecd294156ce0159d758b3f"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "6e15a894ae27fea441a3fb74bb620217e30b2a67183bc65535996538824740a9",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "ef26d54a31aea8f8ba026348b5f1cd71a5820ac104cbaaf3c42729633a3cdc6b",
"outputIndex": 1,
"outputGlobalIndex": 41199987,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b13942af14938d71b35f46a743b20bf670157ecf939d724d08c35c230a0a6195",
"sigmaType": "Coll[SByte]",
"renderedValue": "b13942af14938d71b35f46a743b20bf670157ecf939d724d08c35c230a0a6195"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20148d1e852f1571546ca31d40c1c7e677f2abeecc62d7e52c86f8a49a4dfda7b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "148d1e852f1571546ca31d40c1c7e677f2abeecc62d7e52c86f8a49a4dfda7b7"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4d216bd87db36fc23d7930b93c7cf892ac7ef634d186eea1386a16fae0c61dad",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "f81a29845f7b2c1ec235d5af308150b085a90ca9c72a03127024ee15435276a9",
"outputIndex": 1,
"outputGlobalIndex": 41199992,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cafd10602e83fc5d41c94b1cf3f2f98a6069e9657552bc521075ce2c8ae5a90e",
"sigmaType": "Coll[SByte]",
"renderedValue": "cafd10602e83fc5d41c94b1cf3f2f98a6069e9657552bc521075ce2c8ae5a90e"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20b097d9be51787e58f605268218e3ee8d30109e6d7c160e9666bc174f7f351809",
"sigmaType": "Coll[SByte]",
"renderedValue": "b097d9be51787e58f605268218e3ee8d30109e6d7c160e9666bc174f7f351809"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "cca77fa3e986d4fd1c2978918410acb7db220d38dab22b4ff77678a5269abf7f",
"value": 2000000,
"index": 38,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "1dc8d3a96b7715e8443284863a5f95474a6c2e407fb8f2310631315f49838494",
"outputIndex": 1,
"outputGlobalIndex": 41199997,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2009e8fab0321c9b3bf2b9bb16d187c449bbc37db37a40843b87b46fa65ff60fde",
"sigmaType": "Coll[SByte]",
"renderedValue": "09e8fab0321c9b3bf2b9bb16d187c449bbc37db37a40843b87b46fa65ff60fde"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20f1cb83b597ae5314b704a630a31329c81831e64a8f6c7103f88ebbd5d4e32c16",
"sigmaType": "Coll[SByte]",
"renderedValue": "f1cb83b597ae5314b704a630a31329c81831e64a8f6c7103f88ebbd5d4e32c16"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4f0f7cd13b5f2dbec88563e918001d3dd974c14f15c324fd8e20860f77efbb58",
"value": 2000000,
"index": 39,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "3c24c4cf73e2f1bcaff84e257a9864ce32b43295d71cbde834fac126306cf2ae",
"outputIndex": 1,
"outputGlobalIndex": 41200002,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20718e049c73ce32a62339d995b4d8af47c61e5c710e0b05bf9ea55461d4af2a51",
"sigmaType": "Coll[SByte]",
"renderedValue": "718e049c73ce32a62339d995b4d8af47c61e5c710e0b05bf9ea55461d4af2a51"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20d8ce9995bb748f19a057cb71d8ddd1978abc940ecfc49e002f690e97675e1600",
"sigmaType": "Coll[SByte]",
"renderedValue": "d8ce9995bb748f19a057cb71d8ddd1978abc940ecfc49e002f690e97675e1600"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "86c9f11bcf1ec8978c87cb2731838e10d5dec9eede70fd77c91fa23a93749647",
"value": 2000000,
"index": 40,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "648b35df2811cd31b7a25c67b2b3008411ad35781d77bd16493703d6f0a57428",
"outputIndex": 1,
"outputGlobalIndex": 41200007,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206524b27c12601e1a10b5e7aad89a00017cbd22136b1f00c0bdf38af0e04e6ccc",
"sigmaType": "Coll[SByte]",
"renderedValue": "6524b27c12601e1a10b5e7aad89a00017cbd22136b1f00c0bdf38af0e04e6ccc"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2003c02540199d8215336c97bd849a4e33e27278178afa0e81dcf12b39f7aa567e",
"sigmaType": "Coll[SByte]",
"renderedValue": "03c02540199d8215336c97bd849a4e33e27278178afa0e81dcf12b39f7aa567e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2e5f8068ffeec8d3f19bb043181c98ce490a4794139c66f5fed8d9e92fb9d111",
"value": 2000000,
"index": 41,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "c3a397d16afae4e2429b1425eb9327c5312878e1a2da6b3f21c9dfff28d5882b",
"outputIndex": 1,
"outputGlobalIndex": 41200012,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fccc9c9b540920076d99db0b49c89eb765f2436c433e6cbec90c7a59e14d599a",
"sigmaType": "Coll[SByte]",
"renderedValue": "fccc9c9b540920076d99db0b49c89eb765f2436c433e6cbec90c7a59e14d599a"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e208491b6b08bcc6916b752adbc420780534ae1c1601c921aa43370b09d2dbfeab2",
"sigmaType": "Coll[SByte]",
"renderedValue": "8491b6b08bcc6916b752adbc420780534ae1c1601c921aa43370b09d2dbfeab2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "67b596d61d594c283e5ae95fd1f7225db44f4f2e013caa149cb10cf00058a6f2",
"value": 2000000,
"index": 42,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "cc9d89c4fd6b949f8f409b06d2e0929c7ca4332e390fc652365bbda3b2c73355",
"outputIndex": 1,
"outputGlobalIndex": 41200017,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2053130c09f18b40fc23158265c823906841bfc155c94aebda0fc0a00beaf537cd",
"sigmaType": "Coll[SByte]",
"renderedValue": "53130c09f18b40fc23158265c823906841bfc155c94aebda0fc0a00beaf537cd"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20b9b225cae1672f6d81cb21684c6f7861394872c34420a5d7263491c6f76a7678",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9b225cae1672f6d81cb21684c6f7861394872c34420a5d7263491c6f76a7678"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "fd04d88a3692698f0e7d6d9eb4edc7f35e7b86ebbaa0742b5fa98eef897c7b3a",
"value": 2000000,
"index": 43,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "7c90b8fb0ca83602ddb35a562ac970c9d5d068212df2ed5c07c2d97642dc37bb",
"outputIndex": 1,
"outputGlobalIndex": 41200022,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1b44a58b326c4cb6f32a47106946dd636afd870d424ec80d080651a97b44019",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1b44a58b326c4cb6f32a47106946dd636afd870d424ec80d080651a97b44019"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20e93d2c4b729bcf3d01214c105567a01149b0120ac569187929f871f332a9aa91",
"sigmaType": "Coll[SByte]",
"renderedValue": "e93d2c4b729bcf3d01214c105567a01149b0120ac569187929f871f332a9aa91"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "6a31b00d87c122b16b7e6a060420b60051c09b3345008f10dcc69eaff27f8f1f",
"value": 2000000,
"index": 44,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "6544cbac41292d816f04d40843e79498c23dfca47c304b98eb053f416d98f2f8",
"outputIndex": 1,
"outputGlobalIndex": 41200027,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b21a80b4a79b4ca461148c721d05b1b06e9ec78bac0f81a6c0c85778ed8d8495",
"sigmaType": "Coll[SByte]",
"renderedValue": "b21a80b4a79b4ca461148c721d05b1b06e9ec78bac0f81a6c0c85778ed8d8495"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e200d079d13c8ccc1db495b5bc5fd8784bb43c7653d48b34dd76c5a7efada0f1a75",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d079d13c8ccc1db495b5bc5fd8784bb43c7653d48b34dd76c5a7efada0f1a75"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "98905bdd50607c3e5fa18ffd3c89f13a2c51dbe2a34752605919b73762aede23",
"value": 2000000,
"index": 45,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "bafc9249bb95624028ff2a17a000adb31bbe3488f2b956b19bc115a845928daf",
"outputIndex": 1,
"outputGlobalIndex": 41200032,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e844fc6d63249e626b5451a06739b60cfb40d32eabd3cb6e4b48ea6ce19bdd0",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e844fc6d63249e626b5451a06739b60cfb40d32eabd3cb6e4b48ea6ce19bdd0"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20c71d6f52848f9f2e6c417da26e0f74c723fd1a87e6428c16197996819a3502ef",
"sigmaType": "Coll[SByte]",
"renderedValue": "c71d6f52848f9f2e6c417da26e0f74c723fd1a87e6428c16197996819a3502ef"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "910f16c6d43885720b348162c11585141338044709a9a26b50e19d01ea74e385",
"value": 2000000,
"index": 46,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "0903f2ad45ee872813f715af3fe7c098538f597e9a9ce85a35657225ad902034",
"outputIndex": 1,
"outputGlobalIndex": 41200037,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2048149b0d19ff8404d97a63ee9f7a4a6ce8acaad7593ec82f900fba3c20cab9ab",
"sigmaType": "Coll[SByte]",
"renderedValue": "48149b0d19ff8404d97a63ee9f7a4a6ce8acaad7593ec82f900fba3c20cab9ab"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e2084b02e3aef7abab00a5ba44f68393c2b49e0889542568aec4f2a1871b6eb7af7",
"sigmaType": "Coll[SByte]",
"renderedValue": "84b02e3aef7abab00a5ba44f68393c2b49e0889542568aec4f2a1871b6eb7af7"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a77fc21647fd5bbe551bca48bc45677a4b7727effdcee9c1bf03fae05020b51f",
"value": 2000000,
"index": 47,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "e3462ec74cb6059013b12d78c5d100bac5be9b1146c0969986b326b8aca2a9ae",
"outputIndex": 1,
"outputGlobalIndex": 41200042,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fedf1953ef78b12ba55647feeb22600c87c57bc8f55b367449f4dcb3bf4859eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "fedf1953ef78b12ba55647feeb22600c87c57bc8f55b367449f4dcb3bf4859eb"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e20ab9ed0b668e02814f14649fb558844a1cbd5c508cb5d2b4d8358c12a5e06e65b",
"sigmaType": "Coll[SByte]",
"renderedValue": "ab9ed0b668e02814f14649fb558844a1cbd5c508cb5d2b4d8358c12a5e06e65b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a47a6a9b8d8c11682f03886090ccaf17af2c838263eb1d2db355fc4bb69c717c",
"value": 1010000,
"index": 48,
"spendingProof": null,
"outputBlockId": "6f57b157a7fcaab8d072447965e5b305393355523d4cdbbf9db0cb8cb36cfae6",
"outputTransactionId": "a6196eb87499d77457571fef19cce4ad257295091d58787394642a54782fcd94",
"outputIndex": 1,
"outputGlobalIndex": 41200047,
"outputCreatedAt": 1299515,
"outputSettledAt": 1299518,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\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(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\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": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206561d704ec5e503940f3cfa3394f00f0a7d32d7fab6fa4d5259376aea76e0751",
"sigmaType": "Coll[SByte]",
"renderedValue": "6561d704ec5e503940f3cfa3394f00f0a7d32d7fab6fa4d5259376aea76e0751"
},
"R5": {
"serializedValue": "0e20f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3f8cb1f1ffe06adfb5885ac6ee811df51a365b48ec6bb7d799886806b266703"
},
"R6": {
"serializedValue": "0e202c201c1b62a22be95593d509c47715d1bc69cce6e04f971088ba67c9e2b9f9b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c201c1b62a22be95593d509c47715d1bc69cce6e04f971088ba67c9e2b9f9b9"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3122cf424cbc1b9731858720f0e1ac2f5d23ed0a7443f323e4b01d32b1912a5a",
"value": 2000000,
"index": 49,
"spendingProof": "c3eb30aee6ef70e5aac3fea67d412aa80c78b3455b018e67b634e59ad0022bd3f33d848fac7b81e81a0819edbd600f6eded2e97336998bea",
"outputBlockId": "9a1b11f7ed0f705570fc934c1464224c4de0021cb62b53bb75b45702dc5faa9f",
"outputTransactionId": "9a069d3d874452b4841a1ad01786a002fab98c050bd2da6e9cf505351604ccfc",
"outputIndex": 3,
"outputGlobalIndex": 41129021,
"outputCreatedAt": 1297053,
"outputSettledAt": 1297055,
"ergoTree": "0008cd03bdbe82dcd221d7442480d04aa7375ef7335c04cbba4cbcc23a435d3bbab8e1f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdbe82,c3db3a,...)))}",
"address": "9huNTAeiNhgbzzQvDWCpdWjQmNTRQbfkfN3dVFH6GnRgZpqLj46",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 1676,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "9c9cd76b3a7f54b885dbfa0ed1fd7119706492db5ae9bc1b550349b7e34b46bd",
"value": 996000000,
"index": 50,
"spendingProof": "ad26fe70e883b1ac8b5e6dc98d93694259021efe83301210635bbc610512d3e03a5b87a2940d283689945c878b4d338cc0f9d8cb79beb8df",
"outputBlockId": "c221b78cfbf946816a452c9f7507afc9ea4f66f20759ca995885bf478eddb5a1",
"outputTransactionId": "7d186ccf1a5bcccca017de0b072aa9de68a1ec274a5751c1e4d61ce259795866",
"outputIndex": 1,
"outputGlobalIndex": 41129932,
"outputCreatedAt": 1297059,
"outputSettledAt": 1297061,
"ergoTree": "0008cd03bdbe82dcd221d7442480d04aa7375ef7335c04cbba4cbcc23a435d3bbab8e1f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdbe82,c3db3a,...)))}",
"address": "9huNTAeiNhgbzzQvDWCpdWjQmNTRQbfkfN3dVFH6GnRgZpqLj46",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 77246,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "ad38d22c8607f7d1368c8d018357269559202f032905c97b7c3c27dcc06a7175",
"value": 1100000,
"index": 0,
"outputBlockId": "c3cfe73d20a313128c3bf13e9d49af733f2db46e9271bc12823bded4edec3ee3",
"outputTransactionId": "c1b2e8ef68b093578031712977752869c9dc3d62758c7f327f2749c1a566f6f0",
"outputIndex": 0,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "42ed884da987014102806f614e5417fb5f3d38b9630b022cad505f3105fab6e9",
"value": 2000000,
"index": 1,
"outputBlockId": "72d84aae1186fd24ff85d440bd40fc88ece853e713e67210215909aca6b30940",
"outputTransactionId": "40096940341c8ba1cbc395628d6e3bb1be4eb388f543cdb3a6cb2b48f6b6d19e",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0572",
"sigmaType": "SLong",
"renderedValue": "57"
}
}
}
],
"outputs": [
{
"boxId": "dffb081532053ca0bcaca2411683ee244a1420c01b929562f6c7fd6686eda71d",
"transactionId": "feac77c7de62cc945ee45b2ca7432f329bdb07f581272640f67184f1adee94c9",
"blockId": "4c213971c01a10baac540a0fb3e213843a39e881a211d74407f9d249afa5ebcb",
"value": 97010000,
"index": 0,
"globalIndex": 41200145,
"creationHeight": 1299522,
"settlementHeight": 1299524,
"ergoTree": "100f0400040004000400040004000400040004000e20ff8e2448323f37fc82d13484b1eb824417ea88a9e9acead54a42079a48a746b7040204000e20dcf4e8398f01d9a54d07600fcbbdf486966a003ca364c99106d83eb12b9aa43904c0d1020e209efa44e79a21703197a2d888fc204cf6435711cdefcfdf5bcb8fb929e5091bbad804d601e4c6a70704d602b4b5a5d9010263d801d604db63087202ed91b172047300938cb27204730100018cb2db6308a77302000173037201d603c2b2a5730400d604cb7203d19683040193b17202720193e4c6a7040ecbb0ad7202d9010563e4c67205040e830002d901053c0e0eb38c7205018c720502af7202d9010563eded93c272057203938cb2db63087205730500018cb2db6308a773060001938cb2db63087205730700029d8cb2db6308a7730800027e72010595937204730996830201938cb2db6308b2a4730a00730b0001730c9299a3730d8cc7a70196830201aea4d901056393cbc27205730e937204e4c6a7060e",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-1,-114,36,72,50,63,55,-4,-126,-47,52,-124,-79,-21,-126,68,23,-22,-120,-87,-23,-84,-22,-43,74,66,7,-102,72,-89,70,-73)\n10: 1\n11: 0\n12: Coll(-36,-12,-24,57,-113,1,-39,-91,77,7,96,15,-53,-67,-12,-122,-106,106,0,60,-93,100,-55,-111,6,-40,62,-79,43,-102,-92,57)\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": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 147000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202aaeb577633708d48c1f27d1d28784646ce8c5de6b7ebfd0586fdc3f47895764",
"sigmaType": "Coll[SByte]",
"renderedValue": "2aaeb577633708d48c1f27d1d28784646ce8c5de6b7ebfd0586fdc3f47895764"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[35373965373835333762623562613839396631653234386435383130396238626465656565303439366439636437613766306663333634306264373238646531,626974636f696e,63617264616e6f,626f783a383637353432303036653364363436383363363532346336623633396162343363636261386261316164376635383664663130306530313865326532626230392e30,61646472317138766e6478377a777a7066756b6566653474726b33716c6d3377716b6a7765396178356d677338386e3766337363726d637571367278397063647735777779756c36767a6c386773787030786c3375387a33727330343038677771386672326a38,0000000000988d4a,000000000000c345,0000000000000a08,627463,32646263343966363832616432316636643138373035636634343666396637613237373733316162373061653231613435346638383862322e37323733343235343433,30303030303030303030303030303030303030333131623536396461393737323539366132636663616636326437626132336430653736396461373565626537,00000000000cfa01]"
},
"R6": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
},
"R7": {
"serializedValue": "0462",
"sigmaType": "SInt",
"renderedValue": "49"
}
},
"spentTransactionId": "2d40c0d243cb3cc9bcc708be7471ebccb77bbb89791ddab365b215230499accf",
"mainChain": true
},
{
"boxId": "a2987e9b06d5b40cbf143036bcc70de3bd1366fdc14befefcfd040ea536dbf31",
"transactionId": "feac77c7de62cc945ee45b2ca7432f329bdb07f581272640f67184f1adee94c9",
"blockId": "4c213971c01a10baac540a0fb3e213843a39e881a211d74407f9d249afa5ebcb",
"value": 996000000,
"index": 1,
"globalIndex": 41200146,
"creationHeight": 1299522,
"settlementHeight": 1299524,
"ergoTree": "0008cd03bdbe82dcd221d7442480d04aa7375ef7335c04cbba4cbcc23a435d3bbab8e1f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdbe82,c3db3a,...)))}",
"address": "9huNTAeiNhgbzzQvDWCpdWjQmNTRQbfkfN3dVFH6GnRgZpqLj46",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 78922,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "73085ab3f73e8efad3ef317256a2c71f0f5867356dc9537546569299a07e8529",
"mainChain": true
},
{
"boxId": "54abe6774b510bf53282e449929c76e22b69baf8e46ee479b358445cb7dfb0d6",
"transactionId": "feac77c7de62cc945ee45b2ca7432f329bdb07f581272640f67184f1adee94c9",
"blockId": "4c213971c01a10baac540a0fb3e213843a39e881a211d74407f9d249afa5ebcb",
"value": 2000000,
"index": 2,
"globalIndex": 41200147,
"creationHeight": 1299522,
"settlementHeight": 1299524,
"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": "25ea9e7448cba17a6e535d7c59d754a375b8de56be19236c2912c1093cfbf8a6",
"mainChain": true
}
],
"size": 3031,
"isUnconfirmed": false
}