Transaction
ID: 43dfc582d3...2389
Inputs (24)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.02 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.046 ERG
Tokens:
69,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.018 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 192,572
Total coins transferred: 0.066 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000983 ERG
Raw Transaction Data
{
"id": "43dfc582d377d3436bef3b4fac3e17e2b1c86002e2115249b21c65269e772389",
"blockId": "28e9f72b80679d28f9c86a07563bd843b403480cf9bbb4cb87c48190e432dd4d",
"inclusionHeight": 1586059,
"timestamp": 1754648750732,
"index": 6,
"globalIndex": 9321818,
"numConfirmations": 192572,
"inputs": [
{
"boxId": "ea62394a90227589791d6e5c3b9122b3ca87d892eb8e3619a8ce9ffece47ef82",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "147c0559ecaff6568e5789489e8bb8f23b38aef1ba1794b99c5bde826438f1a6",
"outputIndex": 1,
"outputGlobalIndex": 49338557,
"outputCreatedAt": 1586050,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e209545ed202631b86220b563d26ac7ee0f24fe21fec77ca01547de57a54e12bcb1",
"sigmaType": "Coll[SByte]",
"renderedValue": "9545ed202631b86220b563d26ac7ee0f24fe21fec77ca01547de57a54e12bcb1"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "2251c65501b7cd34dc9f49ca373113c87f17b0b3f0d2f33344078b29947e9fe1",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "1b8881f757a1ed3c9b26315655ecfaa8ab36d13ee0072c11ca31f0d8a67073e2",
"outputIndex": 1,
"outputGlobalIndex": 49338562,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e200a5d54b76826f8964ce3e730ae0cfd159e102adeebb9f58a80c5267a984e147f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a5d54b76826f8964ce3e730ae0cfd159e102adeebb9f58a80c5267a984e147f"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20b6d9c70607d4430fb5b0656cb6c4e4d62e4786b629762ea13f80098f035059ac",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6d9c70607d4430fb5b0656cb6c4e4d62e4786b629762ea13f80098f035059ac"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "c995ff0bff948d607b536b1c4ba285e9bd39f3a5b5fbd8e039aa6d5192c83f99",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "303049151f3ff4928ae33aa7d41036a9c58f8e251ce2a0b95887e4122bb3ad5b",
"outputIndex": 1,
"outputGlobalIndex": 49338567,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20fc21e0621477f7075070d8bbe236d4c2c3b477c8bddbdc732d670b3dc8ae4c19",
"sigmaType": "Coll[SByte]",
"renderedValue": "fc21e0621477f7075070d8bbe236d4c2c3b477c8bddbdc732d670b3dc8ae4c19"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "ec38742e032f7030b52776d33b412efad7f46c2a485d141df409ae3d5a9ae9e8",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "3291f36994211c7a3e4858241f285d74f97f6dd13ae02af48df57fdb21b5c4e3",
"outputIndex": 1,
"outputGlobalIndex": 49338572,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20ade6bd17c1cfb7adee479f4d315bd6b2447c057499ecd7af0ddd6443e0f0871f",
"sigmaType": "Coll[SByte]",
"renderedValue": "ade6bd17c1cfb7adee479f4d315bd6b2447c057499ecd7af0ddd6443e0f0871f"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f3f4a6475bde81ebd7a5344bc45a3ee4ef056b75455c855aecb818ebfea11194",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "4098e86b07173cf387fee0abb49847d9b5d9720cf20e2bcac7db1a15cfc08cf8",
"outputIndex": 1,
"outputGlobalIndex": 49338577,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2000d34e5b9041ecb5f91dfa9b3d647e832bd5908eec3f01ea7f1e3c30559565ad",
"sigmaType": "Coll[SByte]",
"renderedValue": "00d34e5b9041ecb5f91dfa9b3d647e832bd5908eec3f01ea7f1e3c30559565ad"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e203269cff2690c90c4e61403b87964ecc48e22210b768b3281165ec8313dc705f5",
"sigmaType": "Coll[SByte]",
"renderedValue": "3269cff2690c90c4e61403b87964ecc48e22210b768b3281165ec8313dc705f5"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "acce94f4b87c7a75864105ebf9f79f7ed5a46f77e9b3afa12829391496ad8901",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "63825dd9b91f92afcf6743ada4815898ea60d3fe7400abfa13b116a83a6810d5",
"outputIndex": 1,
"outputGlobalIndex": 49338582,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a22cbaeb575211311d2c1e30d3b724661796a863d517f7e4a7b248e1b5855620",
"sigmaType": "Coll[SByte]",
"renderedValue": "a22cbaeb575211311d2c1e30d3b724661796a863d517f7e4a7b248e1b5855620"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20216a82534ee5238f477af718333741ccb66ab99dc5368b3d6d20ce64d6eeacdd",
"sigmaType": "Coll[SByte]",
"renderedValue": "216a82534ee5238f477af718333741ccb66ab99dc5368b3d6d20ce64d6eeacdd"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "e1a7c9eddb8e67f32e447df902ad0b9c71c39014044adb59e4b0f3826865e3e1",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "789cb8ba3c6044fe47c110d1fd1693b71fd332595825b6b87e47cd42b0697842",
"outputIndex": 1,
"outputGlobalIndex": 49338587,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e2023713941b0f76b4224997ec72a43e78cfd305074b213c7d5bff1c156b1a292cf",
"sigmaType": "Coll[SByte]",
"renderedValue": "23713941b0f76b4224997ec72a43e78cfd305074b213c7d5bff1c156b1a292cf"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "f0f4fe2cd729a8b9a326e0a18708425ce77973ef8c18d9b3e2bfa6905f799774",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "9c000ad7f5ea4577e74c5f4eacfc8d8120aa8ff682693bf2db20c28920a10969",
"outputIndex": 1,
"outputGlobalIndex": 49338592,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20fdf088edddf12c1fb4f66a00adf41021c4db43fb1f4cf24ff74f6eaf8c008bbe",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdf088edddf12c1fb4f66a00adf41021c4db43fb1f4cf24ff74f6eaf8c008bbe"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4cf3c7b0e5227e6f4f980196537985ca55a1045c85d4729d8b4f0d46f7a30f6c",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "9c7986abcf94294a6cd7c8810323fd3b79273b4e9499d200558697484cd152c5",
"outputIndex": 1,
"outputGlobalIndex": 49338597,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20160fc460ca8bcbbeb409ce8804ea0bc2f88e66a1b0e5ec670875269da669e782",
"sigmaType": "Coll[SByte]",
"renderedValue": "160fc460ca8bcbbeb409ce8804ea0bc2f88e66a1b0e5ec670875269da669e782"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "7f5ea001f8ea9bce7a2a9defc924f4b5cf32bd0a5f1ae6dfefc3e2a347d71f79",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "a2d43ce6354baaa1697894bbf681c6a1b428d1bab19f3017e8a941d5279e48d7",
"outputIndex": 1,
"outputGlobalIndex": 49338602,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2040f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85",
"sigmaType": "Coll[SByte]",
"renderedValue": "40f40cd8078af3c049288be2117768dcfd4934c86d340cb51d01dca0803f3c85"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e200de032a6abd189adfeff772efa8dda9cd1c4b4e7085a3e515a709a1495b4ac47",
"sigmaType": "Coll[SByte]",
"renderedValue": "0de032a6abd189adfeff772efa8dda9cd1c4b4e7085a3e515a709a1495b4ac47"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "7b3572c1458c0cb5eddf364abdf100e66b81f5b278caa5eea6c718cc9022b08d",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "af52211545e703416179cf221946d97ecf5cb396ebe6463321a81dac913d9c5f",
"outputIndex": 1,
"outputGlobalIndex": 49338607,
"outputCreatedAt": 1586050,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e2089d9599d5d17be63267ef20d3613b02f3d146ffa1ef44cc1b69cee538877fa4e",
"sigmaType": "Coll[SByte]",
"renderedValue": "89d9599d5d17be63267ef20d3613b02f3d146ffa1ef44cc1b69cee538877fa4e"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "035f161dad5afe52e8629f2db58d44285d5cd891bba25eff1f48bc0a3d5dcb8f",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "ccca2c8d80edf422468f9abc3565801332ce4f012a78e44f280de5237e393698",
"outputIndex": 1,
"outputGlobalIndex": 49338612,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba",
"sigmaType": "Coll[SByte]",
"renderedValue": "cb2719473bca4822640a462459c6d20f403b743f8040be0437013231102221ba"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20ad0529cdbf57ebc85b33f835a0a9e5fa3ad44c6dec83f2bf3fe0a6865a94e9eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "ad0529cdbf57ebc85b33f835a0a9e5fa3ad44c6dec83f2bf3fe0a6865a94e9eb"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "563ed1cef1e5867e7b702d66edced013bfe9f0b3ab2791d239bdad54be5f5a7e",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "dde15a79dfbc5c004647be7781bd2547b7e27070eaa9be921cf0741f688ccde9",
"outputIndex": 1,
"outputGlobalIndex": 49338617,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20426af61f20e30d155a5efa91a41cd36f666e6149b9ad156ea50dee138802bfce",
"sigmaType": "Coll[SByte]",
"renderedValue": "426af61f20e30d155a5efa91a41cd36f666e6149b9ad156ea50dee138802bfce"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "ecabf06a78e50969e22345dafed29578f13e536166d6c964d6e1450ff82bbb9d",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "fdbfe8ca3fe08d568bf5ffb0420de64926e8cf196c0a62d9412dfdc342772341",
"outputIndex": 1,
"outputGlobalIndex": 49338622,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586052,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e2043ea6b3bb280f6bc2af6422be2705189e1274f3c251bc2f47bd7b9456f86967d",
"sigmaType": "Coll[SByte]",
"renderedValue": "43ea6b3bb280f6bc2af6422be2705189e1274f3c251bc2f47bd7b9456f86967d"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "a2659851b26d18ea0ace98e498b54ea668ac725c819d94d37c8705b8fcd5b509",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "94316bb99bad76589b4fbe5f2594596fdbbc6575705d68db96b51b329d3039cc",
"outputTransactionId": "1922b5552abd2a0e6094819c165a61fd834206f5c601e574ece501a119103325",
"outputIndex": 1,
"outputGlobalIndex": 49338627,
"outputCreatedAt": 1586050,
"outputSettledAt": 1586052,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b9dd85d858bc477daaf6f8c6ded2702dd7394a7b87a4868760ddb41715a907e2"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20ab857f60ef1fd301944989824f589c2b6b6b6dc421d571cdbf8fd6a083bd912c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ab857f60ef1fd301944989824f589c2b6b6b6dc421d571cdbf8fd6a083bd912c"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "846581224df4120ce444c744dfec293cfbc6bc75b20dfbc7a0ee168ac0b42db0",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "4f8d079d0c4440265aa9b036f147812498d829dcd20c877afa1753fa0dfdd44a",
"outputIndex": 1,
"outputGlobalIndex": 49338657,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e207d80fa4ab8fd3a1d48a0b411a01135d282168a2d4b11315a0fba2e6c33df03a5",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d80fa4ab8fd3a1d48a0b411a01135d282168a2d4b11315a0fba2e6c33df03a5"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4ddf55cbcc58d1673d4f79400ebde51f6379bf04bdb24735545ccd1c7817d0af",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "1caaa1bdb7b28bf9ab51f3e49f47cc18b2d3999ae3908812e20d8fed7c27dedf",
"outputIndex": 1,
"outputGlobalIndex": 49338662,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20172ee00646e49d441ca86cb27e2fefec17d9bf25f14ae0a11269171fef28d014",
"sigmaType": "Coll[SByte]",
"renderedValue": "172ee00646e49d441ca86cb27e2fefec17d9bf25f14ae0a11269171fef28d014"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5566db4864facabf8c9028e3bfb0d2d9b6b043552e584eb69a691698dec9d542",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "7af2e3a61dfee2d43c33a35d1e3780d322d8a2644608203a751977b08d4910ca",
"outputIndex": 1,
"outputGlobalIndex": 49338667,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20821afc097152f45a29d15e4d6aab4684b9351e0011cad32aac8f13c5021b88c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "821afc097152f45a29d15e4d6aab4684b9351e0011cad32aac8f13c5021b88c5"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20df5bf2ce67984d1f3009ec3e531b414d641a8af835028281e7d3c1f299455763",
"sigmaType": "Coll[SByte]",
"renderedValue": "df5bf2ce67984d1f3009ec3e531b414d641a8af835028281e7d3c1f299455763"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "c53ec84c279e09d273e24eb377ac22b02e3db8e37899ee8d5af2af3187e5363f",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "c6fd5afd3041ab487ec295b6cff8e8b628de82cab88a0584441a2d5cd231ae8b",
"outputIndex": 1,
"outputGlobalIndex": 49338672,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"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": "0e20111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288",
"sigmaType": "Coll[SByte]",
"renderedValue": "111069403c85c07d058e75d16a5a215bdfc318f4d9d8a15d16196178b024e288"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e2073e97bd83d394b8fb4204745d8aeefbda152fb04b5e0a386aa066cfe6cb59b73",
"sigmaType": "Coll[SByte]",
"renderedValue": "73e97bd83d394b8fb4204745d8aeefbda152fb04b5e0a386aa066cfe6cb59b73"
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"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
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},
{
"boxId": "94756952c0ccd03c3495f47232fc771e3ff39330c292fae0a357939cff2c06a9",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "cc730742ef99e2568fc008320abfdb05fcc5aaf03166dba5d2a04083c8663ce7",
"outputIndex": 1,
"outputGlobalIndex": 49338677,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"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": "0e200bebb18fec56a72e12d2217922f12b172d4fb12e93b5fa1b2b00102cfcc06972",
"sigmaType": "Coll[SByte]",
"renderedValue": "0bebb18fec56a72e12d2217922f12b172d4fb12e93b5fa1b2b00102cfcc06972"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e207d24e38dbdd82a26924b442631b9723978820a9ae7da70d6b918d3f31698327a",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d24e38dbdd82a26924b442631b9723978820a9ae7da70d6b918d3f31698327a"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "5f1085dfae1fa3f0e9a525828b9c206c716bf9e5aab1c77d52ee4947efee4222",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "ece1488e2baf338df39d4ee2f1d29cbb81cdd9790bd3658758010afef3fcf973",
"outputIndex": 1,
"outputGlobalIndex": 49338682,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208ff1d892dc359903b1e2b6e7503dea637295ca2082e9aa597a31707930bff68e",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ff1d892dc359903b1e2b6e7503dea637295ca2082e9aa597a31707930bff68e"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e202c9b26005c0484bed4948d0cf65c970e47019e90bea72d8d42100b7a10a33a1b",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c9b26005c0484bed4948d0cf65c970e47019e90bea72d8d42100b7a10a33a1b"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "6c87735309f298b741d1bf819a46b16591ea1c9373c493592aff09691563a044",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "f7b29cfe66c5171a0c65c2f203992d29949039a77739fd20b4c7a99bcec79ace",
"outputIndex": 1,
"outputGlobalIndex": 49338687,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"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": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e20d9b799a3b7a0612d9e42ca27503baf680c05847cd50097d7c1ff6e124da27173",
"sigmaType": "Coll[SByte]",
"renderedValue": "d9b799a3b7a0612d9e42ca27503baf680c05847cd50097d7c1ff6e124da27173"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "468fad86aa1b0d208039eac1fdf206429980166c015035fc8bc8f877d7fd04e8",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "76e326e3a2cc22478e031ce0360ac7883cc95004c9ac44ddc9a3af946f73039a",
"outputTransactionId": "fc1f64f6bfb56267862163b901a9aa68f9f8befd6eff30067453a950e8e4d3ae",
"outputIndex": 1,
"outputGlobalIndex": 49338692,
"outputCreatedAt": 1586051,
"outputSettledAt": 1586053,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-69,72,-72,106,26,-110,-101,53,-58,-19,75,-78,-107,-28,60,-38,-46,55,-44,-26,94,-39,57,-102,95,109,-58,16,-26,-54,109,105)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-51,-49,-123,107,17,-72,-45,-86,-96,-118,-76,94,92,26,25,91,-99,71,104,-6,3,20,-11,-105,-45,61,42,-3,98,-82,43,-41)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 3000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50",
"sigmaType": "Coll[SByte]",
"renderedValue": "d39542c4577335275be702a605a529e58d2e51a1f44fbfcb173f34cf7e9f7c50"
},
"R5": {
"serializedValue": "0e2070a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a",
"sigmaType": "Coll[SByte]",
"renderedValue": "70a0657bb8bb481c619185166a7b832c43ed82313899f28c6a19d0874c26129a"
},
"R6": {
"serializedValue": "0e201338c4aeaa080e8571528be41e9eed25ad104d80a6959e950c4b036a7d2a7e46",
"sigmaType": "Coll[SByte]",
"renderedValue": "1338c4aeaa080e8571528be41e9eed25ad104d80a6959e950c4b036a7d2a7e46"
},
"R7": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
}
}
},
{
"boxId": "4c1c71fc9bd242df7429812b36cccd0a918a9e2b6a639fd00dbde04a3138c415",
"value": 20000000,
"index": 23,
"spendingProof": "6f3df835bb62f8a227261bac8b3fbab2c67db287cca6077e0e81ce3983c7dfaf0ebad437c0b5699a25c2000a3e6b042c8380788722be722c",
"outputBlockId": "1ce4ed8bc7266e5b190e127c24ec342769072123be9236bd5026a7389f8d8264",
"outputTransactionId": "4f62964db9a335426c7e6281726bd91ac4e4b229f197854d26a04d2cd031d70d",
"outputIndex": 2,
"outputGlobalIndex": 47610590,
"outputCreatedAt": 1513584,
"outputSettledAt": 1513589,
"ergoTree": "0008cd02d35124410644391a7fb23da07c0129322936e314317c5ba6583dd3dcd209afa6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d35124,ad9dfa,...)))}",
"address": "9g88KhHWUonTwknfXPRHcGK1spPpUv2sXjsupf3LXTUHFLevwyN",
"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": "2cb28d23336dc1130e67d5c0741343be7ab3ba2ca8f8a0ffc56f81d46986b408",
"value": 1100000,
"index": 1,
"outputBlockId": "a3fe4af67351cddb73a1951b9b9573292f52bb950e470615f387655998f16074",
"outputTransactionId": "39d18a2858abca9dcbaf8ba74d6c9096ea884d16d690835d2ca5fd64d19700d6",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0762696e616e6365",
"sigmaType": "Coll[SByte]",
"renderedValue": "62696e616e6365"
},
"R5": {
"serializedValue": "0530",
"sigmaType": "SLong",
"renderedValue": "24"
}
}
}
],
"outputs": [
{
"boxId": "daacf9f6a6204eafca7eef1b944b4dac3de7ac8482e19a7392256c32f4fba86a",
"transactionId": "43dfc582d377d3436bef3b4fac3e17e2b1c86002e2115249b21c65269e772389",
"blockId": "28e9f72b80679d28f9c86a07563bd843b403480cf9bbb4cb87c48190e432dd4d",
"value": 46000000,
"index": 0,
"globalIndex": 49338790,
"creationHeight": 1586058,
"settlementHeight": 1586059,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(126,29,-109,-112,2,65,74,53,44,127,-96,8,-69,-87,78,124,-84,-71,25,91,-96,-65,58,67,8,-123,41,20,39,88,83,127)\n10: 1\n11: 0\n12: Coll(34,72,-57,-66,82,111,-64,-29,72,122,-103,-34,77,20,63,23,81,80,118,-14,99,-111,-73,-70,35,-128,12,76,-8,-106,-51,0)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "33477693d6be5bbd3a4cd786fbff5e6444449c191ab08e681aaaa87fc192772c",
"index": 0,
"amount": 69000000,
"name": "rspv2BinanceRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d24d35f99627ba726eca41c7ee19f2349d93585103b640b9e85965863bc48071",
"sigmaType": "Coll[SByte]",
"renderedValue": "d24d35f99627ba726eca41c7ee19f2349d93585103b640b9e85965863bc48071"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307863666432393361643033313166336632343136313231363164386233643064373436306137326263303435366333626437666264346666353938323431303038,62696e616e6365,63617264616e6f,307835333462626237373462393863366438333639353661663032663637653962626661303935356462,6164647231713870733566733733766d67356b306c616e7876397a356e726d65303535646164756e6d777575306b71736377756c64787a6466677637757a6c3465707735336c337733357074386563753866727373727336637a6d3538386d687174336a703237,00000140d1a2540c,00000001cf8bc09b,000000009144ab7b,307835303261363431646563666533326231653364303330653035656666623861653531343665363462,62376335636435353466336538336338616130393030613063393035333238346135333438323434643233643034303663323865616634642e35303431346334643061,307861336466306435636364306635303832623266623966666462303131616531663362333334393732346662616462386234353465663132393361353332333764,000000000363b49b]"
},
"R6": {
"serializedValue": "0e2080740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72",
"sigmaType": "Coll[SByte]",
"renderedValue": "80740645454b9387a7e19bb457b214e9386be2a8a836f6816b5625ec0e235a72"
},
"R7": {
"serializedValue": "042e",
"sigmaType": "SInt",
"renderedValue": "23"
}
},
"spentTransactionId": "4d0e4a94227c4a686da8c0d2de053a4cbe8917ba02407d6869fc879bab1c366d",
"mainChain": true
},
{
"boxId": "5e8bc977f68fb0b62d8e08a259769cf18acbc439704ca44d7f10796d623670e3",
"transactionId": "43dfc582d377d3436bef3b4fac3e17e2b1c86002e2115249b21c65269e772389",
"blockId": "28e9f72b80679d28f9c86a07563bd843b403480cf9bbb4cb87c48190e432dd4d",
"value": 18000000,
"index": 1,
"globalIndex": 49338791,
"creationHeight": 1586058,
"settlementHeight": 1586059,
"ergoTree": "0008cd02d35124410644391a7fb23da07c0129322936e314317c5ba6583dd3dcd209afa6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d35124,ad9dfa,...)))}",
"address": "9g88KhHWUonTwknfXPRHcGK1spPpUv2sXjsupf3LXTUHFLevwyN",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "23b3c84a0e094876f0596723f0caa3abf3c47b160669d512a0e1a14c9195cfee",
"mainChain": true
},
{
"boxId": "98574a397ebe35d2b4146fd3b25337ee822189d7f4f98d6625fcfd5f9567a466",
"transactionId": "43dfc582d377d3436bef3b4fac3e17e2b1c86002e2115249b21c65269e772389",
"blockId": "28e9f72b80679d28f9c86a07563bd843b403480cf9bbb4cb87c48190e432dd4d",
"value": 2000000,
"index": 2,
"globalIndex": 49338792,
"creationHeight": 1586058,
"settlementHeight": 1586059,
"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": "7089ddc6dadc8c4d112ca8f35df36e27c80b9534691fbdfc93c5fa1836a640f2",
"mainChain": true
}
],
"size": 2035,
"isUnconfirmed": false
}