Transaction
ID: c8b63826e3...1bc6
Inputs (18)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01121 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.034 ERG
Tokens:
51,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00921 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 127,469
Total coins transferred: 0.04521 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001092 ERG
Raw Transaction Data
{
"id": "c8b63826e328372f67ca7bb2bfe6ce933164ab861fe01e31d4aee14a995f1bc6",
"blockId": "51519c4d5b2282180854af1d9a45ee3cb6889f3edd87fcbf10169997374f23ee",
"inclusionHeight": 1634379,
"timestamp": 1760499693754,
"index": 19,
"globalIndex": 9627451,
"numConfirmations": 127469,
"inputs": [
{
"boxId": "86373f8adf0a236b71c5a48be9a4d4b7765166bded11b2b7116a558639487610",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2d4f546f248cbd212533ce3ebbe61c75afb743991cc891f05134628afa4add7c",
"outputTransactionId": "d01b141d569cf722900a7a8eba4460161e9e77e7e89ecd5bbfcc275506ec298b",
"outputIndex": 1,
"outputGlobalIndex": 50870195,
"outputCreatedAt": 1634365,
"outputSettledAt": 1634367,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2057ed5aac7ab7b95c99bd1a48b71ee2521970cb4219821be98b199171c8f688e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "57ed5aac7ab7b95c99bd1a48b71ee2521970cb4219821be98b199171c8f688e1"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20e1f4f47f4d860a422331206dd5a731c4832b342b5599fac03b93f4e3b179fe39",
"sigmaType": "Coll[SByte]",
"renderedValue": "e1f4f47f4d860a422331206dd5a731c4832b342b5599fac03b93f4e3b179fe39"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4a195a4d1f0a5adf33fda26ce34d24e3ecf84f832cd1abc205fc29dd0dfe97bc",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "9ff4d9713fa19b9822fc339b09e121857899f3d2ce458d40db30dfead2d884cb",
"outputTransactionId": "7c443ec6ccf8d025830f6f34f7219eb2290c709dc2ee56ff409596c1829c6d45",
"outputIndex": 1,
"outputGlobalIndex": 50870306,
"outputCreatedAt": 1634368,
"outputSettledAt": 1634372,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20be7d0aaa4db9e6c39143091e0011cdce307018806f179332ed713f7999326f0e",
"sigmaType": "Coll[SByte]",
"renderedValue": "be7d0aaa4db9e6c39143091e0011cdce307018806f179332ed713f7999326f0e"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "9cbf850e65ada2852c6bd2a9b8eda3cf5ff7d8953177a1700a7af6fa92c3ff5e",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "9ff4d9713fa19b9822fc339b09e121857899f3d2ce458d40db30dfead2d884cb",
"outputTransactionId": "ca5e52324c6fd2ef9c3b5c103e526458b489cd6690b78e301440896fe53663e5",
"outputIndex": 1,
"outputGlobalIndex": 50870311,
"outputCreatedAt": 1634367,
"outputSettledAt": 1634372,
"ergoTree": "102404000e20bb48b86a1a929b35c6ed4bb295e43cdad237d4e65ed9399a5f6dc610e6ca6d69040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20cdcf856b11b8d3aaa08ab45e5c1a195b9d4768fa0314f597d33d2afd62ae2bd704000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e202e7e81f63c8ff0c2e8e71de9632d3006701ba06c9aa231f1e2a787e7d39b47a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2e7e81f63c8ff0c2e8e71de9632d3006701ba06c9aa231f1e2a787e7d39b47a2"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4e4ebb9a64f7ccc89d46a40d9b8ee19b20f0819489e81d0d0d41fc99833eba1c",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "009082d74ec441ebce4d22a9db0205fb2aad1821a973ce3bb9c1fe0c2306acdf",
"outputTransactionId": "0ba42da41cd25546be0e1f35a39a70b375a46e192000b083387784019a832744",
"outputIndex": 1,
"outputGlobalIndex": 50870327,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634373,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e204d5991320e07c9e75b0e2c59ca67c563f8ccf5b36f7948af96f2db2140ac1d6b",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d5991320e07c9e75b0e2c59ca67c563f8ccf5b36f7948af96f2db2140ac1d6b"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4771ff8d68b631d83fa515d10f43774334dbebda994322b61f038632a28ff681",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "009082d74ec441ebce4d22a9db0205fb2aad1821a973ce3bb9c1fe0c2306acdf",
"outputTransactionId": "393b28bb757d4e3e802da8c9ad95ea07e629d5203dec16b285b27b46bf6c0230",
"outputIndex": 1,
"outputGlobalIndex": 50870332,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634373,
"ergoTree": "102404000e20bb48b86a1a929b35c6ed4bb295e43cdad237d4e65ed9399a5f6dc610e6ca6d69040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20cdcf856b11b8d3aaa08ab45e5c1a195b9d4768fa0314f597d33d2afd62ae2bd704000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50",
"sigmaType": "Coll[SByte]",
"renderedValue": "d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e2085182315da063997523c3ddc593ff4bc2e71903fe9deae832f3810e781c4ccae",
"sigmaType": "Coll[SByte]",
"renderedValue": "85182315da063997523c3ddc593ff4bc2e71903fe9deae832f3810e781c4ccae"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5ba6807248578d028c3dc584ef14691dfd6afb9397c620ce00da6bac27c0c43b",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "009082d74ec441ebce4d22a9db0205fb2aad1821a973ce3bb9c1fe0c2306acdf",
"outputTransactionId": "d687386ae5c8dc53a24e47f137e7783d6c764fa74ec27ea6c0bbcabfa0e8641f",
"outputIndex": 1,
"outputGlobalIndex": 50870337,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634373,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20060fc421e152eba9acb0fde65d3b2c51f049fccad09af5e9b9adfedc37e6bade",
"sigmaType": "Coll[SByte]",
"renderedValue": "060fc421e152eba9acb0fde65d3b2c51f049fccad09af5e9b9adfedc37e6bade"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20b90aec82bcdefe4da0025d767aa0034a09a1c0ca31712d132e12948c71b3dd58",
"sigmaType": "Coll[SByte]",
"renderedValue": "b90aec82bcdefe4da0025d767aa0034a09a1c0ca31712d132e12948c71b3dd58"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5dc582009517a81bc97f4686588b040a17f2f43a0298bf8405a63450ca62fbb7",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "df9e9c0ef03ccba3eebdefafa76d08105cd73003ecd9249d68ba47cdbaa0ae41",
"outputTransactionId": "5080ba99be169d456c39d4f1e069c30b68f707213b26e7ac74c8bff4f059f979",
"outputIndex": 1,
"outputGlobalIndex": 50870350,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634374,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367",
"sigmaType": "Coll[SByte]",
"renderedValue": "d6b25890d9d01b58e987ddd01f25a717db7c92bcbea04d136817b03d757e4367"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e208853c27b7ae643ddad4ff164b17cf8455e9d8699222f725f685c894bc95aa4b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "8853c27b7ae643ddad4ff164b17cf8455e9d8699222f725f685c894bc95aa4b9"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "7c3e54a4c54183f3e79e5a2031fdde2219feb67e06b6e36467e38470ac29d4f2",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "df9e9c0ef03ccba3eebdefafa76d08105cd73003ecd9249d68ba47cdbaa0ae41",
"outputTransactionId": "3ab663b9c629331e2c67b4b101b1d4631b3d2ce6b6521106fbba0fd27bc453d3",
"outputIndex": 1,
"outputGlobalIndex": 50870354,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634374,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e200fc832abf95feaf46b0f75aad915e4bf6c62e25e8f03551385dba907f107ab36",
"sigmaType": "Coll[SByte]",
"renderedValue": "0fc832abf95feaf46b0f75aad915e4bf6c62e25e8f03551385dba907f107ab36"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "a351fb2a11208c732661e1da00e860fcce9dabe90aab27564bbc46027df04bff",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "df9e9c0ef03ccba3eebdefafa76d08105cd73003ecd9249d68ba47cdbaa0ae41",
"outputTransactionId": "9ce75d43434f8fe7aba6ec70169a6d1b6b77a57057479d4df76f7b7ff1e6ec8f",
"outputIndex": 1,
"outputGlobalIndex": 50870359,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634374,
"ergoTree": "102404000e20bb48b86a1a929b35c6ed4bb295e43cdad237d4e65ed9399a5f6dc610e6ca6d69040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20cdcf856b11b8d3aaa08ab45e5c1a195b9d4768fa0314f597d33d2afd62ae2bd704000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288",
"sigmaType": "Coll[SByte]",
"renderedValue": "111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e2067d2996fada98d00b086a5c29878fad799f686dcd5988c00f5efbca6fa860dbd",
"sigmaType": "Coll[SByte]",
"renderedValue": "67d2996fada98d00b086a5c29878fad799f686dcd5988c00f5efbca6fa860dbd"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "cfd98f442a499106151da594660e43cad381401093c729d368b1b17c6b6ff835",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "df9e9c0ef03ccba3eebdefafa76d08105cd73003ecd9249d68ba47cdbaa0ae41",
"outputTransactionId": "3572ed988156e9f17c62511b81f4c4e5ab7377a4accb13075aef88ab605fd15d",
"outputIndex": 1,
"outputGlobalIndex": 50870364,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634374,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2041ebb3fd817851bbf2f86db4eb89dd91f8edb77ab354473c2f7b98c75963d457",
"sigmaType": "Coll[SByte]",
"renderedValue": "41ebb3fd817851bbf2f86db4eb89dd91f8edb77ab354473c2f7b98c75963d457"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20f3c6332b0ed2f1fc38dbbadf3394a903dd953475a37d2e53a6e03a62007c3ae4",
"sigmaType": "Coll[SByte]",
"renderedValue": "f3c6332b0ed2f1fc38dbbadf3394a903dd953475a37d2e53a6e03a62007c3ae4"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "fc0216a997af190d2989aedbab7a4b1053a08b69791c4944e8b3dfc4dde1d45a",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "7ae793897550356048015f4c09bf6a0abdc134c94edc43599787883e81554d08",
"outputTransactionId": "10ac64819db0fc4f5b39396d76b1521e09177462b331b0878cef62d0e8b9c2a5",
"outputIndex": 1,
"outputGlobalIndex": 50870390,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634375,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b94122c744ed9a7479f462e40d2cc11d5ceeae3e8515e875bbd00fe11ec9aae0",
"sigmaType": "Coll[SByte]",
"renderedValue": "b94122c744ed9a7479f462e40d2cc11d5ceeae3e8515e875bbd00fe11ec9aae0"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e204940e9234a9f415608b6dd2294777fe0f3bab288a787e6c8a90381f60983e4d8",
"sigmaType": "Coll[SByte]",
"renderedValue": "4940e9234a9f415608b6dd2294777fe0f3bab288a787e6c8a90381f60983e4d8"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "553056d1166cec2977adfc4cb203501e5f1bb330ee3f12097fee5918a6e3dde6",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "6ad6ddb9804737db137000f4bf0a3b053ff9c3213eb6cc5914e61f6537542792",
"outputTransactionId": "1b704d2111840527f32da13960c452e1015c49a75e396c07e48510fee1b4a7a2",
"outputIndex": 1,
"outputGlobalIndex": 50870435,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634376,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20d18843c80165e4eec27b0f9ac0662abac78acae3a3e1e29f3459fe6562ecbc0b",
"sigmaType": "Coll[SByte]",
"renderedValue": "d18843c80165e4eec27b0f9ac0662abac78acae3a3e1e29f3459fe6562ecbc0b"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "07fe1223fbebcf0c66409b3641312b20ca374a5ebcac38bf6cae6d2f99c89642",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "6ad6ddb9804737db137000f4bf0a3b053ff9c3213eb6cc5914e61f6537542792",
"outputTransactionId": "7be94537967b625e114341defb236f5b846a3f669d846950521c15d8d71b5328",
"outputIndex": 1,
"outputGlobalIndex": 50870439,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634376,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e208a675c674045e02fd1703a0f4171e44e32975a1f80cb0cbc1857ae37d55eca07",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a675c674045e02fd1703a0f4171e44e32975a1f80cb0cbc1857ae37d55eca07"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "1df07f881a3eb01a299d8454779b17d59812cf53196d65d3f755d871832cbf24",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "6ad6ddb9804737db137000f4bf0a3b053ff9c3213eb6cc5914e61f6537542792",
"outputTransactionId": "b3991d39d8de723b7e3037f380ac6e3a98fed28a151c30fbb7d9993d20dbc22e",
"outputIndex": 1,
"outputGlobalIndex": 50870443,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634376,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20561df559abe2ef18df478eb84d2ae2a89e856c328eab2374d7b8c084c8746133",
"sigmaType": "Coll[SByte]",
"renderedValue": "561df559abe2ef18df478eb84d2ae2a89e856c328eab2374d7b8c084c8746133"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "c38f22d779de0614bdf4bcc3412713fbab9e1a737009f6e505f3f71d06bc316e",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "6ad6ddb9804737db137000f4bf0a3b053ff9c3213eb6cc5914e61f6537542792",
"outputTransactionId": "86c3d5165db0c6981d145917dffefeb7c129ddd7c34a8a371194d73b964deeb9",
"outputIndex": 1,
"outputGlobalIndex": 50870448,
"outputCreatedAt": 1634372,
"outputSettledAt": 1634376,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1ca0968592fe5e350616b5a548f0105e0c1661d3ef10caa99be926395aa9aa5",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1ca0968592fe5e350616b5a548f0105e0c1661d3ef10caa99be926395aa9aa5"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e205dcbc5d46770080c62944933e1a98b51f370ede4d2fe77f34baa2f10ded4cb9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "5dcbc5d46770080c62944933e1a98b51f370ede4d2fe77f34baa2f10ded4cb9c"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "6679276f7a440703d43f0b119f337f56f4408604a1a3503eb8d2a79da8a40e1a",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "6ad6ddb9804737db137000f4bf0a3b053ff9c3213eb6cc5914e61f6537542792",
"outputTransactionId": "9fddb921985fc3a468c5b29127966a7545ea6c5cf91f15b2aaff44122b3ce803",
"outputIndex": 1,
"outputGlobalIndex": 50870453,
"outputCreatedAt": 1634375,
"outputSettledAt": 1634376,
"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": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e201c44b995464a6a8cfce81b23079d387618fc7e52005de35de5749a967fef03f4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c44b995464a6a8cfce81b23079d387618fc7e52005de35de5749a967fef03f4"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5b4977b81c1eb9cee49d560bc3086001ef89fe8790a355c1a4a93a2161b28843",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "6ad6ddb9804737db137000f4bf0a3b053ff9c3213eb6cc5914e61f6537542792",
"outputTransactionId": "fe44627c3f0fb4e4bf0232459213b250528394a600af47425b46f9e713a60164",
"outputIndex": 1,
"outputGlobalIndex": 50870458,
"outputCreatedAt": 1634373,
"outputSettledAt": 1634376,
"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": "0e20cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba",
"sigmaType": "Coll[SByte]",
"renderedValue": "cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba"
},
"R5": {
"serializedValue": "0e2015ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b",
"sigmaType": "Coll[SByte]",
"renderedValue": "15ce7b4719d3e0bd78598106325c21737d8587435d52973637c4d49ea91e075b"
},
"R6": {
"serializedValue": "0e20cdc8514e6cfd093cb9ae82545f16adb00925656df8b085b2b35077e3d772148d",
"sigmaType": "Coll[SByte]",
"renderedValue": "cdc8514e6cfd093cb9ae82545f16adb00925656df8b085b2b35077e3d772148d"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "1cd07acb4c05fc612ca36c72cc357ebfd6f8f54eaa99f0d7fdd5392bced70252",
"value": 11210000,
"index": 17,
"spendingProof": "7bee6fdbde5ec4e202e2ba82850eb64abe354af590b94d80ee84e94be1c3ccba5d6a24a0deb742c5fa5f521173d7b3adbd469d712a0ee3c8",
"outputBlockId": "5728b27d4c3430c63c6389920df00c21d0c04d60e0cb3f74e4943ed13475ddd5",
"outputTransactionId": "a7281e0665739ca376cd4154308262ed204ae262022319c1f5d2b9ad905d61e1",
"outputIndex": 2,
"outputGlobalIndex": 50850753,
"outputCreatedAt": 1633720,
"outputSettledAt": 1633725,
"ergoTree": "0008cd0208acedc7fea2c99924f70b8bbd77b3c8306186844da729402aea18388c21c2e2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8acedc,e8d51d,...)))}",
"address": "9eat7rwqMiVyGhnqcChGdeQnPVonV8FUP1TMDdkr99RCA6mt3re",
"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": "94a917a2f60229604fc554cc50f935e5e5668e11d86f17b29c606edff71740e1",
"value": 1100000,
"index": 1,
"outputBlockId": "27a9cfbbbe8e03111cb1ef9001483f4d959c51e9aba676d928a02b363186f4f8",
"outputTransactionId": "ce92659b5272d49aa3c9d922f7f49428ca3814eeb08e2a489caa1b180133cb3d",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "052c",
"sigmaType": "SLong",
"renderedValue": "22"
}
}
}
],
"outputs": [
{
"boxId": "1b827f74e3872ccd94b03200b183400a94f2d97621525332507830e2ed52b301",
"transactionId": "c8b63826e328372f67ca7bb2bfe6ce933164ab861fe01e31d4aee14a995f1bc6",
"blockId": "51519c4d5b2282180854af1d9a45ee3cb6889f3edd87fcbf10169997374f23ee",
"value": 34000000,
"index": 0,
"globalIndex": 50870575,
"creationHeight": 1634377,
"settlementHeight": 1634379,
"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": "ZsPNMsGz8D8y11MAneZTVjJndCjgTUmenzfjjRBRRAo2DZVkwmBZxuHGoNTFLLrmFhsvuagJbFxBVLFW2nnoSuDHhNckxkJhBKNVhfPghWoKTuCHsEdJcJ1RD6XTT2aWbGPwHkja29mj2RibYNyCqjkPWEmbRJhVvfN2DUZ9pExxBPTmghNa6tFQyLkkfHdmuXEXLdpmWndfdknawDuojQPGjx3p42ewB4eeV8Zs7dDCDLdUUghTcczqJAadPMroUpmifMTw1FrpU3jC3kMaSzYpcpPu4e44xEni3E9hrenfQePbFVe9Jq9bVyjsQBF8vC8UxqefzEFmMoHT9xkdRNsFmfLMAximM3nyNhTMgLimWvLcNddW11jK1FFPumgKRUUeRivjtnXiRsNedXpmHKhvSVvpS8wAJbuySw3bHqkrpgQHqAr6vUiXj5McjsYzVh7PZxrUgEGNe8uLk4UpxJGhW3TVLNcPHdEbq2AoyabVkK2ChbE9KZ2JJBdHah93VgZSVG",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 51000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205ca119630c47afac849902dc59b94327b5316626349e1359595eec9ea5584c48",
"sigmaType": "Coll[SByte]",
"renderedValue": "5ca119630c47afac849902dc59b94327b5316626349e1359595eec9ea5584c48"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307832306139616466663361356633373231343039626664373662303532633664313835343836363565316566393263666333653430326337393264396263323037,62696e616e6365,63617264616e6f,307836666261656336616337333132366438633163666166393464316165366361356337393435323163,61646472317139377a716b66346d647237786636306d72756c6d3835766c7072747a32676c346d6d797872356e38383070783375746663357371396e6d376a38663371706d6b726b736534377a37366d666e6779387a6d353232673934716c75737679646a756c,000001620c053239,000000027171c5f6,00000000cd8c0bf0,307835303261363431646563666533326231653364303330653035656666623861653531343665363462,62376335636435353466336538336338616130393030613063393035333238346135333438323434643233643034303663323865616634642e35303431346334643061,307865363933626434346261363464656563333264386233623334323134663337313432643338343331386430633133336436333834393634636338336639316336,0000000003dab9e8]"
},
"R6": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
},
"R7": {
"serializedValue": "0422",
"sigmaType": "SInt",
"renderedValue": "17"
}
},
"spentTransactionId": "9490bab5841c4854bc6f6ec762350db55a88903c0075327a5b254f07cd4447fe",
"mainChain": true
},
{
"boxId": "9f87a09c557b583f3614b21ca0996191ce240a047022a978d21a0b86b4928c07",
"transactionId": "c8b63826e328372f67ca7bb2bfe6ce933164ab861fe01e31d4aee14a995f1bc6",
"blockId": "51519c4d5b2282180854af1d9a45ee3cb6889f3edd87fcbf10169997374f23ee",
"value": 9210000,
"index": 1,
"globalIndex": 50870576,
"creationHeight": 1634377,
"settlementHeight": 1634379,
"ergoTree": "0008cd0208acedc7fea2c99924f70b8bbd77b3c8306186844da729402aea18388c21c2e2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8acedc,e8d51d,...)))}",
"address": "9eat7rwqMiVyGhnqcChGdeQnPVonV8FUP1TMDdkr99RCA6mt3re",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "5c5315a1d751b2328427ab516a48db8b2f7eea510084504ef74ee3aa637d8b3b",
"mainChain": true
},
{
"boxId": "48ac96804b72d9a01c04e77966762b18e516f96a3abe1e9423b4ceaded0513fb",
"transactionId": "c8b63826e328372f67ca7bb2bfe6ce933164ab861fe01e31d4aee14a995f1bc6",
"blockId": "51519c4d5b2282180854af1d9a45ee3cb6889f3edd87fcbf10169997374f23ee",
"value": 2000000,
"index": 2,
"globalIndex": 50870577,
"creationHeight": 1634377,
"settlementHeight": 1634379,
"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": "330a4ee9891d8301dfcd110cbe0aa28a7571c71666bb7bb227a07c1b08c45573",
"mainChain": true
}
],
"size": 1831,
"isUnconfirmed": false
}