Transaction
ID: a63bfffeef...c982
Inputs (15)
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:
0.012 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.028 ERG
Tokens:
42,000
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 39,109
Total coins transferred: 0.04 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001146 ERG
Raw Transaction Data
{
"id": "a63bfffeef7ef2de11c21409cf8c2294443238136e9ec980a0e129c3d531c982",
"blockId": "e9a413942ea4f2460dce19631d9c68781cb2712ccbee48978c1cdbb59fd97868",
"inclusionHeight": 1729750,
"timestamp": 1772037575473,
"index": 3,
"globalIndex": 10358480,
"numConfirmations": 39109,
"inputs": [
{
"boxId": "5a5235db256852ec7840d6af45f842e75d889857e4addc6f5c4593de291074c6",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "4536065695e24fc262ac3666838824307e1f624043616f5dd012e28d84328469",
"outputTransactionId": "0882aa532606d9a335a89a6c6e6759df1bdfe997fc786ffc24ea901991f705c8",
"outputIndex": 1,
"outputGlobalIndex": 53799259,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729739,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204e916395b3df9ca749b3a9482e469350e9e390d56cacb3921a84669433e65d8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e916395b3df9ca749b3a9482e469350e9e390d56cacb3921a84669433e65d8a"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e201fcf9f448529d74e0eca4ae3cf90321e84540679ce4cf15215fc3965858ebde0",
"sigmaType": "Coll[SByte]",
"renderedValue": "1fcf9f448529d74e0eca4ae3cf90321e84540679ce4cf15215fc3965858ebde0"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "bbe004bed1c191ccda2d98ccc568b885925406607b8b1a22c836d8a26d8b412f",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "5f33748bed964ed408513e97b5a55e682a5b82e10866cbef450b586607cfa0da",
"outputIndex": 1,
"outputGlobalIndex": 53799303,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a22cbaeb575211311d2c1e30d3b724661796a863d517f7e4a7b248e1b5855620",
"sigmaType": "Coll[SByte]",
"renderedValue": "a22cbaeb575211311d2c1e30d3b724661796a863d517f7e4a7b248e1b5855620"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e204a8268eb23a6871793476516696ab6bcdbd4dee90da19328f4423f63fc8f9378",
"sigmaType": "Coll[SByte]",
"renderedValue": "4a8268eb23a6871793476516696ab6bcdbd4dee90da19328f4423f63fc8f9378"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "dc3b17e59943d213148feed7f029e2a77eb424c4e41503cc2a895c5b01c092b8",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "089b3338433aaf7d4b9b38b87b940316d9c603b6e15df971a4fc667512fe1884",
"outputIndex": 1,
"outputGlobalIndex": 53799307,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209860691cd2d7683d0affbea8be2aa2f1c6822423c9692ede971ba81ab335e2f7",
"sigmaType": "Coll[SByte]",
"renderedValue": "9860691cd2d7683d0affbea8be2aa2f1c6822423c9692ede971ba81ab335e2f7"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e204227ed4ef583dcd709966647c237c2554dbdd361cf45cd07a105617eec3d3bac",
"sigmaType": "Coll[SByte]",
"renderedValue": "4227ed4ef583dcd709966647c237c2554dbdd361cf45cd07a105617eec3d3bac"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "3d95c6e715827380a334527c247de4bee6c8d84b5b4af73e2195605622bbcd29",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "ad38f3f51c340599c31bbe612d2df24102307c578cbeeaeb00c0af7e57243aa3",
"outputIndex": 1,
"outputGlobalIndex": 53799311,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2016664332b361bd5e7c3f6e4e68104fe29b15af14b8c311a21640a779a062bffa",
"sigmaType": "Coll[SByte]",
"renderedValue": "16664332b361bd5e7c3f6e4e68104fe29b15af14b8c311a21640a779a062bffa"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e2008a6cd2831acaab21f6b9d4de43691029a99c972554d92d50366360b101cf8cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "08a6cd2831acaab21f6b9d4de43691029a99c972554d92d50366360b101cf8cb"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "e138046f45604d46817e86ab0bdd82a45390a8b69328227964bfc9124ae25f4b",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "24ab004dcdb99a084c1e5327dc2c1717199d43f070b237c39ca7b338b27d62ef",
"outputIndex": 1,
"outputGlobalIndex": 53799315,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba",
"sigmaType": "Coll[SByte]",
"renderedValue": "cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20365b82c2719a3e9e5a08ff01f7f0c25bd2c8da3631001158881c4165c859e87e",
"sigmaType": "Coll[SByte]",
"renderedValue": "365b82c2719a3e9e5a08ff01f7f0c25bd2c8da3631001158881c4165c859e87e"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "60e45c15bbb5aa4eb7c94eb6b96605f515c9dde083df54485be5397c197858bd",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "31f6c7c629b96ea05ab0d56b50a882c6f0f03d73200db9d59b724664a827cce1",
"outputIndex": 1,
"outputGlobalIndex": 53799319,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d5b216e026add4c3827a68aa3825ad979e2a04191f41a392fd9fa717750c2eb2",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5b216e026add4c3827a68aa3825ad979e2a04191f41a392fd9fa717750c2eb2"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20e71742c43612c63b374cf202e965b9d2e52a93cf8ea37792611d5475cf9a0a08",
"sigmaType": "Coll[SByte]",
"renderedValue": "e71742c43612c63b374cf202e965b9d2e52a93cf8ea37792611d5475cf9a0a08"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "e1e91e5f8906964b7c8cecf10426bb52f3fdcb159af978048dd155f31ad91e2c",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "4257de4d4c4cf38dd873a2535ab8de18e4341bb30d9bcc7ed37a51be2b34139c",
"outputIndex": 1,
"outputGlobalIndex": 53799323,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20bb4bd851bb5a66578272e989cdadc469164e0fd03e3bcd41238a59682737c196",
"sigmaType": "Coll[SByte]",
"renderedValue": "bb4bd851bb5a66578272e989cdadc469164e0fd03e3bcd41238a59682737c196"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "391c8b341891aaa43b2797561a3d6063d52a52a7fc0015eb141a394e65cadefa",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "48208597ed41961abac439980ce1e1ffda31934b0d424157990dabe6f31f50c8",
"outputIndex": 1,
"outputGlobalIndex": 53799327,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2072fcd653a0da887ded085d4f97aa26e3e6d8433e31b6cbbbfb1fe10a3cdc2675",
"sigmaType": "Coll[SByte]",
"renderedValue": "72fcd653a0da887ded085d4f97aa26e3e6d8433e31b6cbbbfb1fe10a3cdc2675"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20f75717edc1aead480f0c8a3e45475bcb4436736031b2edc4cce766782112aade",
"sigmaType": "Coll[SByte]",
"renderedValue": "f75717edc1aead480f0c8a3e45475bcb4436736031b2edc4cce766782112aade"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "7222c2c2c65e49aa900fc8366696930b7a6f914171d3cf13972bfc6697f3180c",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "52533e3bebcbb1c96a05a74f4b7321fc3d60480f5e7c8754f196126e27891f17",
"outputIndex": 1,
"outputGlobalIndex": 53799331,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204ce7aadd1d5e9c69c26e9acfdf7997316fd65eb78846daabd9c7aa7d64347e8e",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ce7aadd1d5e9c69c26e9acfdf7997316fd65eb78846daabd9c7aa7d64347e8e"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20270befd1fa619e739ef6ccaeefe2ece0895aeb4a15d980ac097167e71fcab8e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "270befd1fa619e739ef6ccaeefe2ece0895aeb4a15d980ac097167e71fcab8e4"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "306aa7a4dfb49632c469ac6c519d1ea309faffac36cd9478b23096329df81ba4",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "769dade1d9259ab60e001b1cd33697a15356360c1c4d2c55d90fb553a4a59b39",
"outputIndex": 1,
"outputGlobalIndex": 53799335,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288",
"sigmaType": "Coll[SByte]",
"renderedValue": "111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e209e27621274f08468d4d1541ee3b24abea656f2f6d0c249b640dbef21efc0cfc4",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e27621274f08468d4d1541ee3b24abea656f2f6d0c249b640dbef21efc0cfc4"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "bafd2178cb99bbff9ce700c54dca849096b1f89db43e5ebf4e3b197c77e913dc",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "8167b45262de179c0cff225bdc83b162effea745b63be6d189b69dd0f382b8af",
"outputIndex": 1,
"outputGlobalIndex": 53799339,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2049198b251c80ecfbecb9385e62dbcf9d69ea182af9c2780f4cb9ca07e76e1840",
"sigmaType": "Coll[SByte]",
"renderedValue": "49198b251c80ecfbecb9385e62dbcf9d69ea182af9c2780f4cb9ca07e76e1840"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e2055414ea9f43d1776056309085771c63abff3d87d30254e979656dde88ec15259",
"sigmaType": "Coll[SByte]",
"renderedValue": "55414ea9f43d1776056309085771c63abff3d87d30254e979656dde88ec15259"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "0de4ddef6c590135a1d1cd96cf4d9735eebdd441d7276096bda6b6162402b260",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "b374e749756e2fea61408125935d5f7d42de5f0c15c70dd110f44f7eef2b1def",
"outputIndex": 1,
"outputGlobalIndex": 53799343,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a3ba33282c4b00eabbf6c55fb53e1271b8617ae205d9527bff416041aae953bb",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3ba33282c4b00eabbf6c55fb53e1271b8617ae205d9527bff416041aae953bb"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e204790b8e9d1450ff93b63cd3ddc0a70c9a32fed49277dbefeb3476c7e5cc2f1a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "4790b8e9d1450ff93b63cd3ddc0a70c9a32fed49277dbefeb3476c7e5cc2f1a2"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "8e310d0e362bf307f86d1edf2e958f6f9a0a77d4988a39cbd21e56e56ae64eca",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "ceb790264a94cc7bae8bba8dd6e5fa581b914e3bff787a50260ef0d4793b819c",
"outputIndex": 1,
"outputGlobalIndex": 53799347,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2040f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85",
"sigmaType": "Coll[SByte]",
"renderedValue": "40f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20195bd0d3a91f00d32db143568bf0c5363fdaee0d2c7cf58e930d946517ac7428",
"sigmaType": "Coll[SByte]",
"renderedValue": "195bd0d3a91f00d32db143568bf0c5363fdaee0d2c7cf58e930d946517ac7428"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "1228c4e9f5dfd2b309ab971bcd6a1a26a49dfc2cb2e4eb7cf20ed6f8ffb9af25",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "4ce381831f1d6247bee5fa882112e3b9837f9b7d49136338a4db34235d92f033",
"outputTransactionId": "e444c8144d8f6ae1dc9fa04ce07674490b2e64b3af7e8d7d67df9fba4901585d",
"outputIndex": 1,
"outputGlobalIndex": 53799351,
"outputCreatedAt": 1729738,
"outputSettledAt": 1729740,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZw1LAT2rQQY7Gkiuo36J5uzCTyMRoqee9QDzT4Wa1NnZaQ6zVLw3yw4ksfRCdfKiCYfjyiaJuAvdwi8WfVd2VJZo5VfoX7qNEELk34ZdvjCGsSdA3AWVfqSPy8NxPqm41xeccezcgRCVmyTHJa4pu38vtBvTZsnV4jzGTZsSstTQPGZMUUTys6VSBRUGqQjFpjVty3jTFudfJ4rRgyuGhyA1A3jgzY6wPSBXHniAi3c9rQLVEGNzpuyjXD1bFVemGdEmZp5tYLKb5BMsasJr6fa3P4xdyWryg6uUrxGiPZCRT4Z9DMmSyJdfVBFtnLaL7abqN3evRuHrGMn3KVVSFocUM9dLGZpU3XzzvWkgjwxB99FVJ4TzCSKphSgh3gPuCnwQWFhpuRuJJzV8je2jtYguEMNzcygK8WkvkuTsniW3zqJdGpHEqSKcQwnR7a5nP8yVyRRi26aYrNDjuJ2XoqnpLSSNAPmFZNApWcXGRqsqdaJBLsKPkkFXNYfcpwPNcpuExuFaeLhUaCbxdjWKBWMHPxqEhvK2dcs6uXhPjp4QX9XoMSiRqBGC7YAxhZkChKaxmBM3y2sTsyfW69LFM2VKs84FF7tXCGKPomVABQCgVbt5p9BKyPcL8ERa2LJrzfKJwfoXSAPrrK2QEd5zaDi7g6tSVy5QBFzrYARnncF2ZCuGR9Nmh6VAWumXpHfVq83iVVBWHKjSvKJuBEFUzg3G1dWmtwxqRZYFgdgd5FAZp5M6Nj6x4VMi4qcJe9S1exhMHKTDmKnmsJ7AX4YA4MdRGYXGJHRSUb842gqEYbqjjTSu8xRghbuxg9ghnr8NVx4uxwE56zJUMzhP4bVftTH6XhS1MDoRUPi451LcAbRr7QLR7gq8FS4H73FtJN4cni5mURRpNAnzEYFWcjmqaUuC9VSfkuD3Aqk7vSKpbJoSkcaZMXdqb9G4x6SGxjphx8kvxQDTJkmjkxNB5bADpRA7rfkSjRX9zekM8rb7NKu5doxYovb1qPgDuPPbD2eA279btntL8xzqTW2JWQdTPqdHG1ezxBsSWqWdFzzJYFh2VWuYB59A38EB9Mcihj995Y1DGfLt9vHMaw92ERCeqtk4MqX6WSBYc9QzTEA7wUtdYGXLydyRRxbLpYTfTX4sUvhCvg2YGix1L1G4nFaNRq28jiZjfKTCLr2TWDzFvX4jVWhFjFsBVRSCQhiKfDRpsUXm9CYXuk9tvnoVj2NN3e3SLyiWjCEUap84EhdyZn1zHHQSXnsSoSynR1kiWSDCuJCBcyM2MQ8wR",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367"
},
"R5": {
"serializedValue": "0e201bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "1bf82fd4386eb2d6a9807ac0dadb53880f7555daf820f730d7ca975f19112cae"
},
"R6": {
"serializedValue": "0e20aec68aff7f6adcd5d3aef52a60b628d85354c146e5b8feb91cecb7254e90d63a",
"sigmaType": "Coll[SByte]",
"renderedValue": "aec68aff7f6adcd5d3aef52a60b628d85354c146e5b8feb91cecb7254e90d63a"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f30853fceffb3f0592ff6f39cc77e0a18e49f64de14df4c1c4ef74c17af24abb",
"value": 12000000,
"index": 14,
"spendingProof": "28d159ffff1177b7d26f04770cef2fc52d07ae1b34b42726d1bc68ad1bac271f4380c118dc0c301a1770d1e02f9f716631cb49567760429d",
"outputBlockId": "c3645b899195a40ec8c194873e9d41f269ca6f04902a7f1854a6fedfb85a8c01",
"outputTransactionId": "91ca9d723af3f00c6d3723723d8721fc123dd26de5e9fb248983763e6f387dab",
"outputIndex": 1,
"outputGlobalIndex": 53799468,
"outputCreatedAt": 1729745,
"outputSettledAt": 1729746,
"ergoTree": "0008cd0292b0067a615809e439c7482fdacb0c1acc31223fa86a6bac5b1a1fd9b67298f4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(92b006,c71839,...)))}",
"address": "9fdfTDgVBqYKHVn4jbHpoTY4E85112aNogdTBVDji1DMtYaBTMP",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "f3091dc60264569b4755d6b5c0857f882bc1bb8b349a21401b09a71c7e0fe4e9",
"value": 1100000,
"index": 0,
"outputBlockId": "3464a1b2a6843b8dd3947b854f516527c1f42b8fe24c751b9de02f6e000af867",
"outputTransactionId": "456b126aee67b77accb829e1608ed8f6c4c00986c2fecf72ccdacd7ded733039",
"outputIndex": 1,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "957b7c00b48699b8043d0cefb7bb752d8092191408fa242e9d717218b10ce728",
"value": 1100000,
"index": 1,
"outputBlockId": "f5ee4f773368ccaf70a293aeeeac8a300c910001eaef66c90146c0fd9f6a46e8",
"outputTransactionId": "ec2156b64e4f5d4f8ae114c9200603af5d78da75325a2bf6ef9694e72ceb1831",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "0526",
"sigmaType": "SLong",
"renderedValue": "19"
}
}
}
],
"outputs": [
{
"boxId": "91d0a831d0e592a147582cdb8e8af772870b7c43e82eaac56771a6d7cdb55229",
"transactionId": "a63bfffeef7ef2de11c21409cf8c2294443238136e9ec980a0e129c3d531c982",
"blockId": "e9a413942ea4f2460dce19631d9c68781cb2712ccbee48978c1cdbb59fd97868",
"value": 28000000,
"index": 0,
"globalIndex": 53799561,
"creationHeight": 1729746,
"settlementHeight": 1729750,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(126,29,-109,-112,2,65,74,53,44,127,-96,8,-69,-87,78,124,-84,-71,25,91,-96,-65,58,67,8,-123,41,20,39,88,83,127)\n10: 1\n11: 0\n12: Coll(34,72,-57,-66,82,111,-64,-29,72,122,-103,-34,77,20,63,23,81,80,118,-14,99,-111,-73,-70,35,-128,12,76,-8,-106,-51,0)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 42000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ff8d7951d787b4ebc5652db120e1d3e5619b4d1b74afb04ed3fda63870b8dc83",
"sigmaType": "Coll[SByte]",
"renderedValue": "ff8d7951d787b4ebc5652db120e1d3e5619b4d1b74afb04ed3fda63870b8dc83"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307861653430366561616262376230333062393765633831363765376461666632383639646331623461316231346461346161623037616230313235393833316538,62696e616e6365,63617264616e6f,307835333462626237373462393863366438333639353661663032663637653962626661303935356462,6164647231713870733566733733766d67356b306c616e7876397a356e726d65303535646164756e6d777575306b71736377756c64787a6466677637757a6c3465707735336c337733357074386563753866727373727336637a6d3538386d687174336a703237,0000016d44606ba7,000000096e32ab3d,00000000faf13e2b,307835303261363431646563666533326231653364303330653035656666623861653531343665363462,62376335636435353466336538336338616130393030613063393035333238346135333438323434643233643034303663323865616634642e35303431346334643061,307836653931633066613033363037386636613738373834306462343865336163663338643334313261643337386437613037616437326264663265633934643433,0000000004f73fca]"
},
"R6": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
},
"R7": {
"serializedValue": "041c",
"sigmaType": "SInt",
"renderedValue": "14"
}
},
"spentTransactionId": "a07b10c2d14ec6fdfcdfadfcd7baad17504e44679fda67c15262d20f5ac06513",
"mainChain": true
},
{
"boxId": "38f417b02e1943d27fb1fafeab31cef887061ed16f1748620889c2f24f5c8c34",
"transactionId": "a63bfffeef7ef2de11c21409cf8c2294443238136e9ec980a0e129c3d531c982",
"blockId": "e9a413942ea4f2460dce19631d9c68781cb2712ccbee48978c1cdbb59fd97868",
"value": 10000000,
"index": 1,
"globalIndex": 53799562,
"creationHeight": 1729746,
"settlementHeight": 1729750,
"ergoTree": "0008cd0292b0067a615809e439c7482fdacb0c1acc31223fa86a6bac5b1a1fd9b67298f4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(92b006,c71839,...)))}",
"address": "9fdfTDgVBqYKHVn4jbHpoTY4E85112aNogdTBVDji1DMtYaBTMP",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "8763e9fd1b8b7c44584a61083b8e987ad065f6b5355b4e27e5afee9e62548071",
"transactionId": "a63bfffeef7ef2de11c21409cf8c2294443238136e9ec980a0e129c3d531c982",
"blockId": "e9a413942ea4f2460dce19631d9c68781cb2712ccbee48978c1cdbb59fd97868",
"value": 2000000,
"index": 2,
"globalIndex": 53799563,
"creationHeight": 1729746,
"settlementHeight": 1729750,
"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": "3539456248e66b4085dc0035e46fcbe91af85eca70b31b5ea88edeb708c666ff",
"mainChain": true
}
],
"size": 1745,
"isUnconfirmed": false
}