Transaction
ID: a201433e6a...4fba
Inputs (38)
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:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
75.23
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.07301 ERG
Tokens:
111,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.998 ERG
Tokens:
75.23
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 467,486
Total coins transferred: 1.07 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000079 ERG
Raw Transaction Data
{
"id": "a201433e6aea61b08d4eeefeab76e4743fa705d156cc852c8d93dee1c0de4fba",
"blockId": "99f90a90bd456e77b22e99a58022a69ad180dcb22e381550819a5416401c6f6b",
"inclusionHeight": 1291369,
"timestamp": 1718971645246,
"index": 6,
"globalIndex": 7381815,
"numConfirmations": 467486,
"inputs": [
{
"boxId": "561990d917a068974504971ed8489517b6cc0a6fcbf3cf63753093eca999090a",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2864e951b8f9e514832ddeeb24b482df184c43f3e0671f5b34845ecb39ac8b20",
"outputTransactionId": "31b0f1455ed376ff4b4660355177f2493a1488514aa58fe01c3d3a0605d5a97d",
"outputIndex": 1,
"outputGlobalIndex": 40960886,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291362,
"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": "0e20b7c29a78912a29bdcafb44a52ad43074273308b840953456a70b245b772ec487",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7c29a78912a29bdcafb44a52ad43074273308b840953456a70b245b772ec487"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e203e1bd54b08bbd56e76d580b1f8f9f2727cd4edd23a015b9398891347ccf0d96e",
"sigmaType": "Coll[SByte]",
"renderedValue": "3e1bd54b08bbd56e76d580b1f8f9f2727cd4edd23a015b9398891347ccf0d96e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5734788f6e8b174c0ffebf55c0477eac08dca52aecf04bf8b0052b858dba0a27",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "2864e951b8f9e514832ddeeb24b482df184c43f3e0671f5b34845ecb39ac8b20",
"outputTransactionId": "da3448cdf316afd469654d125be94cb861b6e8d8f33b4c0b0b77cc2b4bcb11dd",
"outputIndex": 1,
"outputGlobalIndex": 40960891,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291362,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2062ff06dd12ea9ea154d310461a71b28b8aee910a2cb859041883f9188c63c8c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "62ff06dd12ea9ea154d310461a71b28b8aee910a2cb859041883f9188c63c8c9"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e4dee851f26dfd5cbbab63c217d8e8d513c4d175ef702f9e489363f823189b6d",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "2864e951b8f9e514832ddeeb24b482df184c43f3e0671f5b34845ecb39ac8b20",
"outputTransactionId": "7718b18b9feb08d8c7a16c391570ec2f8824641eec81172bd4b670e9886412b9",
"outputIndex": 1,
"outputGlobalIndex": 40960896,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291362,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20a5d3c92e34c3a912d24d2d73722e3e99d3d1ed15a9361b40f84afb9df8e6e07b",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5d3c92e34c3a912d24d2d73722e3e99d3d1ed15a9361b40f84afb9df8e6e07b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "810ae2b2b2f092798f3adc6d20be6fdb846a87cd37aa5188938affc825791c63",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "2864e951b8f9e514832ddeeb24b482df184c43f3e0671f5b34845ecb39ac8b20",
"outputTransactionId": "cf045ebd4992198ace358ef5ac88be076a7565ea5f515e132ffedd0f118783a2",
"outputIndex": 1,
"outputGlobalIndex": 40960901,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291362,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20fd1ed0a315ee3e412d2a70eacf7aa04247c15f15642bd516dfc68106cc8ab3f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "fd1ed0a315ee3e412d2a70eacf7aa04247c15f15642bd516dfc68106cc8ab3f2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "ad8cb26ed29d235f03699838baa5bdf9e933dfbd06beb0797df4489433412c67",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "0454fe4b4ca08b4104387145dbf43ce6706442e60809e5177b3f57f93d52952b",
"outputIndex": 1,
"outputGlobalIndex": 40960913,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e200f1620c324040061337672243aab5ce2c5987d6a00ec762aa6b07478bffb7cef",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f1620c324040061337672243aab5ce2c5987d6a00ec762aa6b07478bffb7cef"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2057e6c78ea558ff0ca22ae402313753a27d1601ff4bf7ae7eb57b353897e44a4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "57e6c78ea558ff0ca22ae402313753a27d1601ff4bf7ae7eb57b353897e44a4d"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "258a02bc646076fd6f59040e15d3adb1c2d45f8eac51e39e061a61cc6505b377",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "2d56b7a18e847481cd85676701500e1f048d18e0ba66d13ad6fcbfe93e1f7a0a",
"outputIndex": 1,
"outputGlobalIndex": 40960918,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20816386b42b4dc0fa6b5ca4b7d7256e129adfe7e1344500a431b09996bc3a7528",
"sigmaType": "Coll[SByte]",
"renderedValue": "816386b42b4dc0fa6b5ca4b7d7256e129adfe7e1344500a431b09996bc3a7528"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5b118732e7fe71cfb56c71d6434fcf5f4355014e837e1d6feee87aea3162be9c",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "37228855cc275a93afca7d752fd3c840bf274cc5d236ee87d447bf8e4e2a78a1",
"outputIndex": 1,
"outputGlobalIndex": 40960923,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291363,
"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": "0e202a5e11cb271c064c074e5dd433bb8b5a70856ff6f7022b655051a6820d686165",
"sigmaType": "Coll[SByte]",
"renderedValue": "2a5e11cb271c064c074e5dd433bb8b5a70856ff6f7022b655051a6820d686165"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2042939b3ff422ec813722a23b0db34914336004b04e8bea7fb49f3fcf8bdd851b",
"sigmaType": "Coll[SByte]",
"renderedValue": "42939b3ff422ec813722a23b0db34914336004b04e8bea7fb49f3fcf8bdd851b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "9ebde68c6741a392e145897282a6b5428fd667506167864b8390960c7720a92d",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "55a6e36d6d8bfc07602c51e97274c023c3666719216742d2aafe7722e8494274",
"outputIndex": 1,
"outputGlobalIndex": 40960928,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20184d38e5e02e65ba55b4d1d625738fa56ab1ea1365595111e92e7d1d5692b046",
"sigmaType": "Coll[SByte]",
"renderedValue": "184d38e5e02e65ba55b4d1d625738fa56ab1ea1365595111e92e7d1d5692b046"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "06be32a97b576635baf3ddca20e30983c69631d1a3bf215ab3a58aea49537942",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "55fb5a0e16e831d1eae557afe19ba2599548f840481da42b511b8ee71eb0bba9",
"outputIndex": 1,
"outputGlobalIndex": 40960933,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e20a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e207f8e4844ce6675561fb99b4a71f34e051374521581268f944627973c1bf99421",
"sigmaType": "Coll[SByte]",
"renderedValue": "7f8e4844ce6675561fb99b4a71f34e051374521581268f944627973c1bf99421"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3337c7e130e63270354628a9387137c31b5a3d34ae019fcd16e9477c814effd2",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "5b127c4d562ab795ac0419cb3e24298b1e70a69ea9a410d7113884acde4cf23a",
"outputIndex": 1,
"outputGlobalIndex": 40960938,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20701249ad52cfdb99a8c56a5f11c22a978ff88821fbcff0764c91af7eebc8f385",
"sigmaType": "Coll[SByte]",
"renderedValue": "701249ad52cfdb99a8c56a5f11c22a978ff88821fbcff0764c91af7eebc8f385"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a2e7e9e05e488ff82a3abdfaa1ac94de5a532e2a47ca880d7c786ed91b4c107d",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "7e56cfc3d2379203c95fc9a0a50b0a0dd3b7e40f1fb39e02730a94c1b6a53b89",
"outputIndex": 1,
"outputGlobalIndex": 40960943,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e200c13d53a2deb09c77b4189fb5b181d063a933b162dd1b81b23f2c058e0ce99c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c13d53a2deb09c77b4189fb5b181d063a933b162dd1b81b23f2c058e0ce99c9"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20376c681ef500095e9098e328803b631f4de96ed202d94d0dda7ee7fd0f16202f",
"sigmaType": "Coll[SByte]",
"renderedValue": "376c681ef500095e9098e328803b631f4de96ed202d94d0dda7ee7fd0f16202f"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0dfebfd141a6980302e1df2fcb8f783ef34d256c564cf9fd72c36443030d9b32",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "87058fea8fa9c8b9055b2d068b48e2384914a31a42a236cbf4d1385f34fdbedd",
"outputIndex": 1,
"outputGlobalIndex": 40960948,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20bf90cf7c763fbc05c5f0b148be8e8b478790a3eab5c7312b9e32d13991298fd2",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf90cf7c763fbc05c5f0b148be8e8b478790a3eab5c7312b9e32d13991298fd2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2a0ad84f989b4d87c2e68f1ce80a55af78b392a68b897a38df6ffac936e66cdd",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "8baa12ef2174ee263c6c64f160fb3d8f0415f507fde1e7df3c22e4039c8bb296",
"outputIndex": 1,
"outputGlobalIndex": 40960953,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20896b0d310bdf85236c1f47bfd41a53f2256ceb85cc954792f870b7ceeb69b11a",
"sigmaType": "Coll[SByte]",
"renderedValue": "896b0d310bdf85236c1f47bfd41a53f2256ceb85cc954792f870b7ceeb69b11a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0b5396710f3ea4c83a7c66cf593ec474cd92ac0246a0771326ae7f99d1378b03",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "a8b645d1b8fd6ce51152bbeb0e1ac455f2f377258e5cd1b91971c6776b7eea1f",
"outputIndex": 1,
"outputGlobalIndex": 40960958,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2082641f5aa4231e2156d0a47f87ebe62e035fff8964c75f071f89861db2ad4009",
"sigmaType": "Coll[SByte]",
"renderedValue": "82641f5aa4231e2156d0a47f87ebe62e035fff8964c75f071f89861db2ad4009"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b0968330edfdf35f06cd5bfd288fcf9d7bfc3c95359a5b403843c60ab370abe4",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "e693888b69055ddcc070bccf745ecaf4ccd637bfdaea741c8f97a1908629f154",
"outputIndex": 1,
"outputGlobalIndex": 40960963,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20a1b6de4744cd4b85e4e957f3ee76a7e8ca09d358fa493bb4414bad641a842b28",
"sigmaType": "Coll[SByte]",
"renderedValue": "a1b6de4744cd4b85e4e957f3ee76a7e8ca09d358fa493bb4414bad641a842b28"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5454791c3a342324936a37829e321a406c0cc7484d80c6e52f65329e619c7fd8",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "f4321e99f9e06ad8b3350ee464fbb81be2bb9606f868bd2eaa7e14484e601055",
"outputIndex": 1,
"outputGlobalIndex": 40960968,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291363,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20cc59383d9ee5a1b335bb6071cd63295dfae4cbac376190bb120aadaeea481d5a",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc59383d9ee5a1b335bb6071cd63295dfae4cbac376190bb120aadaeea481d5a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "d7b828d0131149a7df4052e61a00b8a175a0bbbe102750284b376a737f9a6ce4",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "2ffc8eb0cdf63d1a2dae71fc872a9d2c38ec86a9a7a13fce1e0f67befbba796f",
"outputTransactionId": "c9febc57e0744cb13aa4888fcc8fc66c885c0f2cca155808c463a7f7f5569f81",
"outputIndex": 1,
"outputGlobalIndex": 40960973,
"outputCreatedAt": 1291360,
"outputSettledAt": 1291363,
"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": "0e2043238051631a4a9d144adefefd51a76a8dd116753661a6a98994905c5b6e6bae",
"sigmaType": "Coll[SByte]",
"renderedValue": "43238051631a4a9d144adefefd51a76a8dd116753661a6a98994905c5b6e6bae"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20db0dfcff65d34c7c12c6ed50f5bdfd75e5c1363f65c75da075a776d72553cf09",
"sigmaType": "Coll[SByte]",
"renderedValue": "db0dfcff65d34c7c12c6ed50f5bdfd75e5c1363f65c75da075a776d72553cf09"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "77d7c3486572124ce23580af6ac18f79dfb1405efe3bfa80fef97e759cfccf12",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "81471f9456abb72c1cc4f882796d3ac2425de50b4505d5485cac9d2b5d4e257a",
"outputIndex": 1,
"outputGlobalIndex": 40960990,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e203da03d9969a100c4f4160aa0a41d62772fe62940ef8e4c8041903dcd5eaff0b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "3da03d9969a100c4f4160aa0a41d62772fe62940ef8e4c8041903dcd5eaff0b4"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "321aabd731c60d6f3fdac47179a93abc5e43e87165a0c1ca9c31b3bcc08941d5",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "72ad6f9077eb26bc30f8e8de2a2ff6c2b508f7bf920ebbf9467154e0c018b8ee",
"outputIndex": 1,
"outputGlobalIndex": 40960995,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20bca35449a1437e108bbab48ab85fc480cfe89f5a96b490dbfa9ef73e037a4bd3",
"sigmaType": "Coll[SByte]",
"renderedValue": "bca35449a1437e108bbab48ab85fc480cfe89f5a96b490dbfa9ef73e037a4bd3"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20514d19e672d918d91f22fb166f1b3f0ebb4b21a54fb132c0fbce6660a18e913c",
"sigmaType": "Coll[SByte]",
"renderedValue": "514d19e672d918d91f22fb166f1b3f0ebb4b21a54fb132c0fbce6660a18e913c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a4f021ac950598c3a94c0f904c247538b8d7d2e762904faff8a3042f2458a322",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "b906e392a88bf69f2daff873eecc696e706b8b00aba9e74d2f4cf4f8fe987bc6",
"outputIndex": 1,
"outputGlobalIndex": 40961000,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2069b3314f632f2b0b89f3133eea470fe2d75c3d5e1d7bdeb41dd8950bf0277aba",
"sigmaType": "Coll[SByte]",
"renderedValue": "69b3314f632f2b0b89f3133eea470fe2d75c3d5e1d7bdeb41dd8950bf0277aba"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "01a71b4817718e4cffc4cce2018cc5970d9c432658f91e89ddf9058c0f8d680a",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "e3e4c74d27d6720b559715bfb2d312b7eed7ac2d5fd2dd96aee741c1c16312d1",
"outputIndex": 1,
"outputGlobalIndex": 40961005,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2054b8799a6407fb04f4412bf898fc82b596bbc0cad965980e20ae61609a35099b",
"sigmaType": "Coll[SByte]",
"renderedValue": "54b8799a6407fb04f4412bf898fc82b596bbc0cad965980e20ae61609a35099b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a4949796c30d05941676de480d0847d2c5c1a0d1665199d3a2b4bef180bc05d5",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "f9630196b7c826d989cdaa37f5b567d5847f94587343a20507c9585638699137",
"outputIndex": 1,
"outputGlobalIndex": 40961010,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391",
"sigmaType": "Coll[SByte]",
"renderedValue": "b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e208d5cf82fdcbdbfba5c9f2b6b8a8a7db5a5064eaa68badf03db778813723db54a",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d5cf82fdcbdbfba5c9f2b6b8a8a7db5a5064eaa68badf03db778813723db54a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "33e49e46e61f0744680f5cab03fec213751443fa6d0fa97cfe67057364aafb10",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "08d20a4f2a4ef869dbf4b7c1bb830845a5bcb06a327cc418cd8e7c1d58cc227c",
"outputIndex": 1,
"outputGlobalIndex": 40961015,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20bc34f569220c6b9d20d2c0cdca28f742320cd7b5e3da4e0d9dec718542b6cd04",
"sigmaType": "Coll[SByte]",
"renderedValue": "bc34f569220c6b9d20d2c0cdca28f742320cd7b5e3da4e0d9dec718542b6cd04"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "cc21a114f24857d6f726a4b01bfded3ec40fdeb60ba4e6b5a39676c2a4fa7dee",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "38c87f96d4edf13c4ddcd978eb4b28686b851229359868721c109b1e247f7a4d",
"outputIndex": 1,
"outputGlobalIndex": 40961020,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20ff7c768c6f646c4f23d2720a4d1d68808cc12fb4c29531c9833873fb313f8c21",
"sigmaType": "Coll[SByte]",
"renderedValue": "ff7c768c6f646c4f23d2720a4d1d68808cc12fb4c29531c9833873fb313f8c21"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5520657cf6b7a691fbf145fb5a01b0334aa2cfae3f8f723c3a61c464497a2150",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "18fa38b866db6bbe6fa195a61df0d3e628dc53cbb49f04a3294ac186c3ce1d5b",
"outputIndex": 1,
"outputGlobalIndex": 40961025,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e205c1470256ce955935bd4d1313681d340312ad622b5f3d2e0a4ca8ade485d5c0e",
"sigmaType": "Coll[SByte]",
"renderedValue": "5c1470256ce955935bd4d1313681d340312ad622b5f3d2e0a4ca8ade485d5c0e"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20d365c0fe456097172e0cfe18b39077fff223f70e27967896ff2af458f14726b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "d365c0fe456097172e0cfe18b39077fff223f70e27967896ff2af458f14726b4"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0eb93a9bb95491499297dbe55b3656802902f65fb8399946a102e4eeef5e647d",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "c6fced6e12fecb3d6d094093b805f6b11868aa90414b72361aa68861a62463bf",
"outputTransactionId": "b7e00a036b41f9f29432a8bbea187f68a1f92725e27e993df217643706af7546",
"outputIndex": 1,
"outputGlobalIndex": 40961030,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291364,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2072be08a86be7ba548e2a64dd1d4a120220220b1ca48dbd85846c648a5900762c",
"sigmaType": "Coll[SByte]",
"renderedValue": "72be08a86be7ba548e2a64dd1d4a120220220b1ca48dbd85846c648a5900762c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b7c4ccc3e1b0745656fe58d2570c772578ea8f9a414e8a89cbe5765b17f0a18b",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "c42c9d472acf8be1c843a2d5dd8e52cbd05f5828ff1617be6772c909f67772d2",
"outputIndex": 1,
"outputGlobalIndex": 40961051,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291365,
"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": "0e200da3b8c8b54524a0d0ed6e3d97ba1f9ba381fb86122aae4495e61381319e2eb1",
"sigmaType": "Coll[SByte]",
"renderedValue": "0da3b8c8b54524a0d0ed6e3d97ba1f9ba381fb86122aae4495e61381319e2eb1"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e203906c43b440b9c0fa9b0ddd4cd5667f430652184b60987b4fdc734bca261ccbc",
"sigmaType": "Coll[SByte]",
"renderedValue": "3906c43b440b9c0fa9b0ddd4cd5667f430652184b60987b4fdc734bca261ccbc"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e4a1655e1e7d35e8c7b013699f8b4d74b15522e83e8a2f9b34d83420aea4f7ec",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "908823c6c4840dd557fe34b8a1f83ec531d54cf19875061f67062aeadc0ab5cf",
"outputIndex": 1,
"outputGlobalIndex": 40961055,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291365,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20a2a98bc9559ada8876fb626bbcdda7050b474ba0da2b0cc40df091e2a3affc7f",
"sigmaType": "Coll[SByte]",
"renderedValue": "a2a98bc9559ada8876fb626bbcdda7050b474ba0da2b0cc40df091e2a3affc7f"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "59cab0306ba2ea94d974320e4d50f517c620ea6bf94d3ef0dc8a66dd36875289",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "037e87d5adec1586be17150bcb2c1fe4e86b3b53f2491efc4a86e906fa50301e",
"outputIndex": 1,
"outputGlobalIndex": 40961060,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291365,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e205dab779e2037da0f96d9a819210ac0d3bd375b73cf9156d41d6eba280ac90c8c",
"sigmaType": "Coll[SByte]",
"renderedValue": "5dab779e2037da0f96d9a819210ac0d3bd375b73cf9156d41d6eba280ac90c8c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "077f4c645ae2ff1ef8f6c7bde8dda3608523721af0fe600d17f0c49fef9dc049",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "420edf71da09dbd2ef25becbf6e75021fcacd36e3a3e3417de283527bd950cd3",
"outputIndex": 1,
"outputGlobalIndex": 40961065,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291365,
"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": "0e20aaadf3ec1d92ecc0f0a3b8c7f5eafdce800f3a531350585672ba8193faae73f7",
"sigmaType": "Coll[SByte]",
"renderedValue": "aaadf3ec1d92ecc0f0a3b8c7f5eafdce800f3a531350585672ba8193faae73f7"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e208935d657e9d1506c050610d4b9ff5f9597ba9a16caf821377599eb733589a74b",
"sigmaType": "Coll[SByte]",
"renderedValue": "8935d657e9d1506c050610d4b9ff5f9597ba9a16caf821377599eb733589a74b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "465af747074c31d87d821debffe3f3888962ae867f6472a774b82f7778a791fb",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "ab652db3c1671a5248f36a5adc3a525bf765589f68192d9994f6e028ddd30fde",
"outputIndex": 1,
"outputGlobalIndex": 40961070,
"outputCreatedAt": 1291362,
"outputSettledAt": 1291365,
"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": "0e20b21a80b4a79b4ca461148c721d05b1b06e9ec78bac0f81a6c0c85778ed8d8495",
"sigmaType": "Coll[SByte]",
"renderedValue": "b21a80b4a79b4ca461148c721d05b1b06e9ec78bac0f81a6c0c85778ed8d8495"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e204bcb5d77a01d33e7b162d85395c485a6822c0dde5700bb7db36a2ecaac25b650",
"sigmaType": "Coll[SByte]",
"renderedValue": "4bcb5d77a01d33e7b162d85395c485a6822c0dde5700bb7db36a2ecaac25b650"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "73c9a24d07c77469a0d90a58b56438dac6b2861f2a994768855c4b4819bf2188",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "c561178ebedc2c89ac0ee274dc953a41df4488689b589b12a57564227368f38b",
"outputIndex": 1,
"outputGlobalIndex": 40961075,
"outputCreatedAt": 1291363,
"outputSettledAt": 1291365,
"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": "0e2053130c09f18b40fc23158265c823906841bfc155c94aebda0fc0a00beaf537cd",
"sigmaType": "Coll[SByte]",
"renderedValue": "53130c09f18b40fc23158265c823906841bfc155c94aebda0fc0a00beaf537cd"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20004c6186b051aae4e9f88b9d2a23d8757efccd9fbfacf9887d43d1194df62d53",
"sigmaType": "Coll[SByte]",
"renderedValue": "004c6186b051aae4e9f88b9d2a23d8757efccd9fbfacf9887d43d1194df62d53"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0a45a6f5ed7e18f606ac5d9a2bccf2923299a8d0edb75d410c00eebff8b0163d",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "c6ad890b8d96fe939833e6b8c9278c5e00a9d3952f0692cb86a571d29651620a",
"outputIndex": 1,
"outputGlobalIndex": 40961080,
"outputCreatedAt": 1291362,
"outputSettledAt": 1291365,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2057aba5fb08912f591641125391a921a39ff142d35ac32d93410e711d60552e22",
"sigmaType": "Coll[SByte]",
"renderedValue": "57aba5fb08912f591641125391a921a39ff142d35ac32d93410e711d60552e22"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "c8a7fbc30141812dfea06ebb14969d8297ad250a205ea8633bb497da9f7f48ce",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "35eceaf27b234142eb1e2671376b2bfea73170ed7d4b83f80224792d87aea520",
"outputIndex": 1,
"outputGlobalIndex": 40961085,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291365,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e200904633aec559e4c5ca8e0a71edc6f0018b1aa76f03ab513bc3175e796b15fa6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0904633aec559e4c5ca8e0a71edc6f0018b1aa76f03ab513bc3175e796b15fa6"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "95b6312e61ea5a091224c92e57a8ac65a1eb7cb7506cc3e75d1dc2a92a4714e1",
"value": 1010000,
"index": 34,
"spendingProof": null,
"outputBlockId": "94b28a91af452538944e05ec971cf2e1933bc8948f6256f540ac69fd40654775",
"outputTransactionId": "bea276ae3cd21b1a0fe6971df2823e381c57a76bd0d8d68840d240c961c1f82f",
"outputIndex": 1,
"outputGlobalIndex": 40961090,
"outputCreatedAt": 1291361,
"outputSettledAt": 1291365,
"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": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20c1f944266942362d183afa3e198bb63d9879f1f3e4d8edec7a6ac7d2a5845562",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1f944266942362d183afa3e198bb63d9879f1f3e4d8edec7a6ac7d2a5845562"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "934bf1002e9099860acd5a7e39e9d10a1bd0b6d10aa87457ccbbffb2e4db96e8",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "25389b01599e17b947fd8e3ec823258807ac67b63940f65189bc4ad69d7e3008",
"outputTransactionId": "b15102a1688437ac7246b3c553dc33a1d8189080d6c5f62adaefffaac56eeebe",
"outputIndex": 1,
"outputGlobalIndex": 40961120,
"outputCreatedAt": 1291362,
"outputSettledAt": 1291366,
"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": "0e200a744b925238716d6a890f19944246b5d5f20ee0ae098728356d42343fb568b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a744b925238716d6a890f19944246b5d5f20ee0ae098728356d42343fb568b6"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e20d1467c6728152bdc2848af49b1aad1cdba8281917c7e9be4415c54f50b136041",
"sigmaType": "Coll[SByte]",
"renderedValue": "d1467c6728152bdc2848af49b1aad1cdba8281917c7e9be4415c54f50b136041"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "dd48135c3413d422a5d11f4da902971daeca050bfbed02c0b5577c7de1d6cfdc",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "25389b01599e17b947fd8e3ec823258807ac67b63940f65189bc4ad69d7e3008",
"outputTransactionId": "3862ec53d7c38eed0ce26fb19cc8095a11eeb713158f5f56681cf0b158bea296",
"outputIndex": 1,
"outputGlobalIndex": 40961125,
"outputCreatedAt": 1291363,
"outputSettledAt": 1291366,
"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": "0e20fccc9c9b540920076d99db0b49c89eb765f2436c433e6cbec90c7a59e14d599a",
"sigmaType": "Coll[SByte]",
"renderedValue": "fccc9c9b540920076d99db0b49c89eb765f2436c433e6cbec90c7a59e14d599a"
},
"R5": {
"serializedValue": "0e20febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289",
"sigmaType": "Coll[SByte]",
"renderedValue": "febc31d33180f0b723ca7947a84fd6c502da318aeb618f475a66c481343fb289"
},
"R6": {
"serializedValue": "0e2077b52457a7bf7582a98a5a509f1be5cb47d0ab9285c0b3c619360117e9b5ad0c",
"sigmaType": "Coll[SByte]",
"renderedValue": "77b52457a7bf7582a98a5a509f1be5cb47d0ab9285c0b3c619360117e9b5ad0c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "c7ac89a5fcb63da8a459da0dc70821182b4cf900072b54bcc7e15cae75d74e3d",
"value": 1000000000,
"index": 37,
"spendingProof": "41fd033eb605e1e712cc6dbda889cc1732a54e8db309dd4d735b3a188be8388c56d50f86d326d8ec91e36d60c03767b6f4de0d0cf91d33f0",
"outputBlockId": "f234cea655203c9fc1d2f31667b19baa39606ec89110c1ed993f2d4a21e4b505",
"outputTransactionId": "2e09267dbda6aa1f8451d0269ab6aa36c68db6a064fdbc8e21b6a7d21bf85557",
"outputIndex": 0,
"outputGlobalIndex": 40948331,
"outputCreatedAt": 1290866,
"outputSettledAt": 1290868,
"ergoTree": "0008cd03bdbe82dcd221d7442480d04aa7375ef7335c04cbba4cbcc23a435d3bbab8e1f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdbe82,c3db3a,...)))}",
"address": "9huNTAeiNhgbzzQvDWCpdWjQmNTRQbfkfN3dVFH6GnRgZpqLj46",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 75226,
"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": "9f64a0207a56dcb1dbdab70ccc30d6324ccd4e6c807b78961c1e81cc8caa1895",
"value": 2000000,
"index": 1,
"outputBlockId": "8b0ff3be41a7371638c4feb05195b5ba2fed925fa48a23340e4163d8eaae82f1",
"outputTransactionId": "7fe33f3559cce5c2c5cbf9860af386dd6a7c6228198b7f711769648194f2a077",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0576",
"sigmaType": "SLong",
"renderedValue": "59"
}
}
}
],
"outputs": [
{
"boxId": "370be84b1b1976aead0526b435a2b1e6d351d58e5004c39ca4c0a67fa5b84eed",
"transactionId": "a201433e6aea61b08d4eeefeab76e4743fa705d156cc852c8d93dee1c0de4fba",
"blockId": "99f90a90bd456e77b22e99a58022a69ad180dcb22e381550819a5416401c6f6b",
"value": 73010000,
"index": 0,
"globalIndex": 40961160,
"creationHeight": 1291366,
"settlementHeight": 1291369,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-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": 111000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200888486532206e379a48adec8acf44d4ea498eb4be976d62425cf83a09a9646a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0888486532206e379a48adec8acf44d4ea498eb4be976d62425cf83a09a9646a"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[36663838303531656363626336643266626363636335653036363365356263663962353162363230323539613461303732623639653734653563326432323833,626974636f696e,63617264616e6f,626f783a313835383339366130623566653631633339666338643862646430323230333962356136633537383039626362656366336464376465613931363261363564392e32,61646472317178666574786771337777667165366e6a32336e3267703334667a366b7938703835376e616532333263787479676b737377777a7239763574683967397170733271357a336777346a6c747a73663532673538646463353461786e73756372366536,00000000001bf5ef,000000000000385a,0000000000000a08,627463,32646263343966363832616432316636643138373035636634343666396637613237373733316162373061653231613435346638383862322e37323733343235343433,30303030303030303030303030303030303030303433656637376265333635353839386337616564353938333233336165356264333636353732313530303632,00000000000cf3fe]"
},
"R6": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
},
"R7": {
"serializedValue": "044a",
"sigmaType": "SInt",
"renderedValue": "37"
}
},
"spentTransactionId": "5c25b294039d5c48b25d6de8461f36b256dc820ffc0967b7e3b766e977dac5a7",
"mainChain": true
},
{
"boxId": "32d0bfacc3f53237143c7090222cae5c46e1bfc22887ddc1853685c5b7249d55",
"transactionId": "a201433e6aea61b08d4eeefeab76e4743fa705d156cc852c8d93dee1c0de4fba",
"blockId": "99f90a90bd456e77b22e99a58022a69ad180dcb22e381550819a5416401c6f6b",
"value": 998000000,
"index": 1,
"globalIndex": 40961161,
"creationHeight": 1291366,
"settlementHeight": 1291369,
"ergoTree": "0008cd03bdbe82dcd221d7442480d04aa7375ef7335c04cbba4cbcc23a435d3bbab8e1f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bdbe82,c3db3a,...)))}",
"address": "9huNTAeiNhgbzzQvDWCpdWjQmNTRQbfkfN3dVFH6GnRgZpqLj46",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 75226,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0da65a1c914b4e92c8a6425bb077246202c8eb424e20c32f2c4b5b4eb61f7e46",
"mainChain": true
},
{
"boxId": "7f4a6c6f85221903ce0d0b6ccd9152764ed19b5a74ee980baa3c47cbf1da7749",
"transactionId": "a201433e6aea61b08d4eeefeab76e4743fa705d156cc852c8d93dee1c0de4fba",
"blockId": "99f90a90bd456e77b22e99a58022a69ad180dcb22e381550819a5416401c6f6b",
"value": 2000000,
"index": 2,
"globalIndex": 40961162,
"creationHeight": 1291366,
"settlementHeight": 1291369,
"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": "1c95e7ced410ae4a04010e15c9981ed60803ad85b670ee50cda978bfc89ae16f",
"mainChain": true
}
],
"size": 2533,
"isUnconfirmed": false
}