Transaction
ID: 611d087a07...dc8e
Inputs (43)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00101 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
23.33
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
10.69
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.08101 ERG
Tokens:
123,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
34.02
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 423,534
Total coins transferred: 0.08501 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000725 ERG
Raw Transaction Data
{
"id": "611d087a07113116886bf3456b679c288703af62be1e2f2fe03581fd7b67dc8e",
"blockId": "334a286d4b224bcc1fe8acc4505bb8fc61b223d3a92dc9bfbbe464348ca76aaa",
"inclusionHeight": 1346138,
"timestamp": 1725607578743,
"index": 9,
"globalIndex": 7762148,
"numConfirmations": 423534,
"inputs": [
{
"boxId": "bb6e17fd30495dd9cd9539daa5962a5d9e658d4f15e3596e72bcd59daec17052",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b36672938dfb81600887355c6828e49477804cd74da638320c982144bfa0adef",
"outputTransactionId": "49439c37ea72c309b186cc6ed273890db898d908113f0f5e621961836e36bc59",
"outputIndex": 1,
"outputGlobalIndex": 42579754,
"outputCreatedAt": 1346128,
"outputSettledAt": 1346130,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b7c29a78912a29bdcafb44a52ad43074273308b840953456a70b245b772ec487",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7c29a78912a29bdcafb44a52ad43074273308b840953456a70b245b772ec487"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e203009c69868ee976568901ff62feb18c1f8fd3b095da0650fd9bb16fd48acf84b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3009c69868ee976568901ff62feb18c1f8fd3b095da0650fd9bb16fd48acf84b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "ce45eb4075bc6d61f8a4a378ea373baefbe800f6733b4e8fb6456286f2d7ef62",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b36672938dfb81600887355c6828e49477804cd74da638320c982144bfa0adef",
"outputTransactionId": "55e77452e9ca08f4f3b5c458962c5ebac872a7070b3751bbd1173d9f9a018986",
"outputIndex": 1,
"outputGlobalIndex": 42579758,
"outputCreatedAt": 1346128,
"outputSettledAt": 1346130,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2009e8fab0321c9b3bf2b9bb16d187c449bbc37db37a40843b87b46fa65ff60fde",
"sigmaType": "Coll[SByte]",
"renderedValue": "09e8fab0321c9b3bf2b9bb16d187c449bbc37db37a40843b87b46fa65ff60fde"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e2081b77dff3d055a5824dc50b330d452f53233f59279c4d52cc0581274d586223d",
"sigmaType": "Coll[SByte]",
"renderedValue": "81b77dff3d055a5824dc50b330d452f53233f59279c4d52cc0581274d586223d"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2f92352018a2c61f0928c646f498bf154396eceeb67623c8f15fd15573e6ed98",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "462f0d039a8ea596a2e0743cb58a897c0c2b4187cdd7f6a143f36096b39edd31",
"outputTransactionId": "293b88bfedd2aed92982b32daff718440c3fe28b2aca335ae4f63d0cdd04d43f",
"outputIndex": 1,
"outputGlobalIndex": 42579783,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346131,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20436ee682e6b6575c100664eabfcfa9c7e401c10a5adf559950e2d66b3a359ef0",
"sigmaType": "Coll[SByte]",
"renderedValue": "436ee682e6b6575c100664eabfcfa9c7e401c10a5adf559950e2d66b3a359ef0"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20a5e88954e77f7a46950dc8e87275056a947336bd21cbdd838b1e9b3758eccbab",
"sigmaType": "Coll[SByte]",
"renderedValue": "a5e88954e77f7a46950dc8e87275056a947336bd21cbdd838b1e9b3758eccbab"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b595a19d57d4043c8f26768bc31ceaf847dad49eabe101098ae8ba31476cfbf9",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "116960e2fe4437fa12ce0d1b3dc8185860da643c45d6b7002dcc399941723938",
"outputIndex": 1,
"outputGlobalIndex": 42579939,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20431f83eb6eab400f26562387b37d92abf78521de8e51885cb9f8ea64959dfa71",
"sigmaType": "Coll[SByte]",
"renderedValue": "431f83eb6eab400f26562387b37d92abf78521de8e51885cb9f8ea64959dfa71"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e207e3ca28dfa747ed814c99e068de87002612ef138e922dfda1df2c7b5a1be99a3",
"sigmaType": "Coll[SByte]",
"renderedValue": "7e3ca28dfa747ed814c99e068de87002612ef138e922dfda1df2c7b5a1be99a3"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "f121d2771fb2d75564da48ec3f9d75f67b0ab1276c6b445f80be96f4ea2d96c1",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "313bbb4e265bd72318bcd56f23f525d47a3619087452ac71820d307e4eae2a9b",
"outputIndex": 1,
"outputGlobalIndex": 42579943,
"outputCreatedAt": 1346128,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1b44a58b326c4cb6f32a47106946dd636afd870d424ec80d080651a97b44019",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1b44a58b326c4cb6f32a47106946dd636afd870d424ec80d080651a97b44019"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e203a6256cdc697bc3d04e5ffaee048110c849bcfc74cdc34dfd96483423cc4ebea",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a6256cdc697bc3d04e5ffaee048110c849bcfc74cdc34dfd96483423cc4ebea"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "c15aa1096f7300fa0df9bb46493c868e9ebcbc74fb7f45d3e415610209011061",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "41c7d7e590eb0ff892cfe0380f8261d9f543ebff8a6906751f34aeb98a8725a8",
"outputIndex": 1,
"outputGlobalIndex": 42579947,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e205f71a08452d439ec2db94ced10c7f50bd4ec0150191877880ef784568e040c06",
"sigmaType": "Coll[SByte]",
"renderedValue": "5f71a08452d439ec2db94ced10c7f50bd4ec0150191877880ef784568e040c06"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e2049599bf9fc8489fbd53973b511ae8aa317ee22d9f5794b9bfeb6c10e6707e00a",
"sigmaType": "Coll[SByte]",
"renderedValue": "49599bf9fc8489fbd53973b511ae8aa317ee22d9f5794b9bfeb6c10e6707e00a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b667d824344c579b5df34f9f0746af4c0544cc7e7d76032314a80efa609f8c2e",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "4e9e9ecc440e83a72ae4c03a565e6a12ffbbe9ce72063569d7b558e0009190cd",
"outputIndex": 1,
"outputGlobalIndex": 42579951,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd733b4db39cb1d4b60411add5887bade9a922d35c6b60b85dd2ab61b5b8271b",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd733b4db39cb1d4b60411add5887bade9a922d35c6b60b85dd2ab61b5b8271b"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20f6848d36cbeb24fbeffec0738bf053430ab540245c7c8729335958a0239d27c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "f6848d36cbeb24fbeffec0738bf053430ab540245c7c8729335958a0239d27c2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4dad39bb42599a815ee8a80b0e3fdd68e3422859d321dae5a30225d4dd488ef0",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "5352443f61888b6a74d7cbde5933b8728a9a6a06d0a6a5813206da14f2ee5086",
"outputIndex": 1,
"outputGlobalIndex": 42579955,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2085acb6414b6d884a3368b678b9ae0eb69d465fd962074cba9d8c0d7aea8fd2c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "85acb6414b6d884a3368b678b9ae0eb69d465fd962074cba9d8c0d7aea8fd2c6"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20dc08432a130f3633c7ad3ec607dcb6e333b196735135b5e58bacb1f19696cc7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "dc08432a130f3633c7ad3ec607dcb6e333b196735135b5e58bacb1f19696cc7b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e42117eb9474599966b0e0b3fc22b45f79f220212c112ca5c06585ba15d9bff9",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "5601a423a7c8cc9279d426beac7c4c28cd68da57e8d328da666c5c5f6ad0b386",
"outputIndex": 1,
"outputGlobalIndex": 42579959,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202763e1d665de410e8a0d72aa02624cc8fc6bc1847c9b14bce7f18b73c89c8a6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "2763e1d665de410e8a0d72aa02624cc8fc6bc1847c9b14bce7f18b73c89c8a6e"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e204de1cae636a98eed986c6c35041fd4d53d4d72dbc2d8a7b8c735cbfa13f96946",
"sigmaType": "Coll[SByte]",
"renderedValue": "4de1cae636a98eed986c6c35041fd4d53d4d72dbc2d8a7b8c735cbfa13f96946"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "f8e2ab8fb5ec38a2b24634ddd9c8361bdedc6709fdf44745c7bce42df05cb253",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "7485f40d3056c829d68246d84946d1ceadd488abc3e1ea30818f3b17cd96bc1f",
"outputIndex": 1,
"outputGlobalIndex": 42579963,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206524b27c12601e1a10b5e7aad89a00017cbd22136b1f00c0bdf38af0e04e6ccc",
"sigmaType": "Coll[SByte]",
"renderedValue": "6524b27c12601e1a10b5e7aad89a00017cbd22136b1f00c0bdf38af0e04e6ccc"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20e13d95fd8732062d86de32630a6de88b11502b7e7ce0adccca97ab2dc87cec51",
"sigmaType": "Coll[SByte]",
"renderedValue": "e13d95fd8732062d86de32630a6de88b11502b7e7ce0adccca97ab2dc87cec51"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a6f461d69028461de51fe9c19c7f55d9e01cc87b1dcb2f5ea539bbfee5d192fd",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "76888b6348d31c171798a5dc58af4c46b4de7f82cc53fc09ffc7285a942ee689",
"outputIndex": 1,
"outputGlobalIndex": 42579967,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202a5e11cb271c064c074e5dd433bb8b5a70856ff6f7022b655051a6820d686165",
"sigmaType": "Coll[SByte]",
"renderedValue": "2a5e11cb271c064c074e5dd433bb8b5a70856ff6f7022b655051a6820d686165"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e207ff582c74a76fc4e1e5a1101680c6821f247b124fda831bb0910dfa36999b470",
"sigmaType": "Coll[SByte]",
"renderedValue": "7ff582c74a76fc4e1e5a1101680c6821f247b124fda831bb0910dfa36999b470"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "1c94f03a1faa0addce97dc63dbede6d33aad8141f70ff261372f65e764b4b3a7",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "8c6e0dbb1635ac9bb92c238e1c2379e8e1db28f7db18d0a85216c8a92d07681e",
"outputIndex": 1,
"outputGlobalIndex": 42579971,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c828bdd742f7afbba84f156f38540c257975e6b5dd57d2aa099abd27ece42b4c",
"sigmaType": "Coll[SByte]",
"renderedValue": "c828bdd742f7afbba84f156f38540c257975e6b5dd57d2aa099abd27ece42b4c"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e206dbb83985914cc562c205b39360a80ccb0bc2a2610fd1cb6f118f12332178cf3",
"sigmaType": "Coll[SByte]",
"renderedValue": "6dbb83985914cc562c205b39360a80ccb0bc2a2610fd1cb6f118f12332178cf3"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3a309baf51b20956c6c8fed4b4c3c87275aa948bc764e3bb38d013b2e329c3d8",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "a22bcceb717bffcb07d33bfc8a6e6c75c6fa18b611555acab9f99ebdac73980a",
"outputIndex": 1,
"outputGlobalIndex": 42579975,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207cc1fb809e374aeea894801d1a833da85406f09a7469a8ab3baffe2c72fa8bdc",
"sigmaType": "Coll[SByte]",
"renderedValue": "7cc1fb809e374aeea894801d1a833da85406f09a7469a8ab3baffe2c72fa8bdc"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e205b5777d5e318ad137cf87125d43dcae1ca4bf3fc93f22a3d14e1a3cc20892e9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b5777d5e318ad137cf87125d43dcae1ca4bf3fc93f22a3d14e1a3cc20892e9c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "28def0b0a11eb13606615bae43b6562d99c2609134eb2f5564a4ce2fbb8187da",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "b0225e6700a9246419a706de4b508bcb9b4b6982b98d2f6c8a0391707b9fb080",
"outputIndex": 1,
"outputGlobalIndex": 42579979,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d06f647ac00d1a312b0410c5f90245749cf7e44e6ae96657327b5119318552ef",
"sigmaType": "Coll[SByte]",
"renderedValue": "d06f647ac00d1a312b0410c5f90245749cf7e44e6ae96657327b5119318552ef"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20c6566f346003efcdf880467d70ac0f129d183ddd921e6ec4a25e1cc4a3a61e00",
"sigmaType": "Coll[SByte]",
"renderedValue": "c6566f346003efcdf880467d70ac0f129d183ddd921e6ec4a25e1cc4a3a61e00"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "30bc1f2936c6b7ed074b305aacd4045d45f93b2ca71352c89216e2acf43f4100",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "bdd104434410904b014b11a7e7fc08c71c334f26fb2cbbd058ca9abdded4e3e5",
"outputIndex": 1,
"outputGlobalIndex": 42579983,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e844fc6d63249e626b5451a06739b60cfb40d32eabd3cb6e4b48ea6ce19bdd0",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e844fc6d63249e626b5451a06739b60cfb40d32eabd3cb6e4b48ea6ce19bdd0"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20edfa48eee35a2884d18c2d2e4141e3ad1041c3a2eace3cf60040c5c8968d237d",
"sigmaType": "Coll[SByte]",
"renderedValue": "edfa48eee35a2884d18c2d2e4141e3ad1041c3a2eace3cf60040c5c8968d237d"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "61772236e263c1196fea04aecf1c8c4608605a0b74eb6e74020db1dbe7877c19",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "bf6f3fba6cf7db7aeed88827f49321ff7b53924363bdcb9207a5e5370408ae80",
"outputIndex": 1,
"outputGlobalIndex": 42579987,
"outputCreatedAt": 1346128,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2085c0e096c091b1d3d6b5ecd9c989a24dcded311a81fb3ac6d9330cc724bdd950",
"sigmaType": "Coll[SByte]",
"renderedValue": "85c0e096c091b1d3d6b5ecd9c989a24dcded311a81fb3ac6d9330cc724bdd950"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e209e10b07b5c5cf253716e43f4b810e70a414d6e91be1f97201dc56fddfa91fcf0",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e10b07b5c5cf253716e43f4b810e70a414d6e91be1f97201dc56fddfa91fcf0"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "969aac4e5e3ff5afc0e3df119840b05eb2ba2aedcbe0704a8a62ad7e7a809db4",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "e42a75e5dba92c6e56011042bb81bd7dd73e54a125aee4cba29b9a4b8047fc3d",
"outputIndex": 1,
"outputGlobalIndex": 42579991,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760",
"sigmaType": "Coll[SByte]",
"renderedValue": "0df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e203ff1f9e87ba80f5aba53c831cec08aad84ab004f488b27e9bb9c736d2f9fb959",
"sigmaType": "Coll[SByte]",
"renderedValue": "3ff1f9e87ba80f5aba53c831cec08aad84ab004f488b27e9bb9c736d2f9fb959"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e968221b0e39fb0f75a537c27b0320eb7f232bbad7c1af6ac719c7541d93f6db",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "f0941f8c46b18c21bdf6858996ebbfcdc2ca0b9bc1c855d7455ed659a5843fc9",
"outputIndex": 1,
"outputGlobalIndex": 42579995,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bf4141a39a80797e28d31d435ce85051f67cce069bbf271010b31bb8e7849cba",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf4141a39a80797e28d31d435ce85051f67cce069bbf271010b31bb8e7849cba"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20d4350811d645d3c3d9122b3a750033ca64aced7519a868a3e7cd08c7304be5c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "d4350811d645d3c3d9122b3a750033ca64aced7519a868a3e7cd08c7304be5c1"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5453e6da9558db69c0618160b8b031045bc5cd7d8261f198d7bebeb37e1e9366",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "13dc7495d3d8552c03efc793f9a21f9d9876f870c73b5151aafbe589529ccf5d",
"outputTransactionId": "f495e1ec56f0e2ed81327af412f95139166045bafa0dcb0380e72ce45d2d4f8e",
"outputIndex": 1,
"outputGlobalIndex": 42579999,
"outputCreatedAt": 1346129,
"outputSettledAt": 1346132,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203719f5f314ad710849370447de39b443dcc8de51acc232f9a0b250e25f218bbc",
"sigmaType": "Coll[SByte]",
"renderedValue": "3719f5f314ad710849370447de39b443dcc8de51acc232f9a0b250e25f218bbc"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e205c7f01b755e459134f8a11444fa45a80d51bd3c1f21531671b8717ee14c8013a",
"sigmaType": "Coll[SByte]",
"renderedValue": "5c7f01b755e459134f8a11444fa45a80d51bd3c1f21531671b8717ee14c8013a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "1fd571d59f3bed117b83deca72e17371ceec26592ee2e614196ba148ccabcc83",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "12f08958660e978e5f0d4611ae1b1d4c3f693f39c18159b317b9296ea762e4ff",
"outputIndex": 1,
"outputGlobalIndex": 42580073,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208fa39cb79a41669f5bf85c6fc6fdff2938db8d3c93e715656a186249adab8a12",
"sigmaType": "Coll[SByte]",
"renderedValue": "8fa39cb79a41669f5bf85c6fc6fdff2938db8d3c93e715656a186249adab8a12"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e2051c4552de31f2d069e3e0dcc5bc699f9bd3b20d1f494e5e5570a9c8edaad45a0",
"sigmaType": "Coll[SByte]",
"renderedValue": "51c4552de31f2d069e3e0dcc5bc699f9bd3b20d1f494e5e5570a9c8edaad45a0"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b13a8b65a8fc75eb3a64eb68c1d51a2fb78a2ac051667d81380b10346f07522b",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "2ab32875ca6aa47f0d1e539ebfeed94395b25c89416254d413c3fa628b7f5f0d",
"outputIndex": 1,
"outputGlobalIndex": 42580077,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cc7f3419304ab9d00b814745a94db853b40042dd13e78c05531cd3390dcc84c1",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc7f3419304ab9d00b814745a94db853b40042dd13e78c05531cd3390dcc84c1"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e200b7d113ad7080c743b9fc2e061133f1e0696b380a7fb9437743b9cdd8389dc0a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0b7d113ad7080c743b9fc2e061133f1e0696b380a7fb9437743b9cdd8389dc0a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3fd3a5a4101f287127ce4c1238e0feddc2530709153e5399779ce88b459ae566",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "2f326fa01a7acf0f0ac820ec2bf9f59bd5698afac4adf6e4a3ae337e313f8646",
"outputIndex": 1,
"outputGlobalIndex": 42580081,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fedf1953ef78b12ba55647feeb22600c87c57bc8f55b367449f4dcb3bf4859eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "fedf1953ef78b12ba55647feeb22600c87c57bc8f55b367449f4dcb3bf4859eb"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e2001af632d82ee1aa9f11a98937dc0561ffc02e43f7312799bc89a595c1811280b",
"sigmaType": "Coll[SByte]",
"renderedValue": "01af632d82ee1aa9f11a98937dc0561ffc02e43f7312799bc89a595c1811280b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "28ed681ae35c3ce39d007c9d7f6207fa0e7ca8af54ef9af15c1aea1e93c7c390",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "32a5dbacac04b9cf69003e24128a9654b8d5b2cc762c13b460bf0541f1f792d8",
"outputIndex": 1,
"outputGlobalIndex": 42580085,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e5a066f2c79159c98ed889bcf228202bcb63b96accd1fad80bbaa6262072f268",
"sigmaType": "Coll[SByte]",
"renderedValue": "e5a066f2c79159c98ed889bcf228202bcb63b96accd1fad80bbaa6262072f268"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20427d7a120c18a7649c1c3194bcbb223e7cdd83075a342847cef387880aaf1a13",
"sigmaType": "Coll[SByte]",
"renderedValue": "427d7a120c18a7649c1c3194bcbb223e7cdd83075a342847cef387880aaf1a13"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5476ce567cea75cbb5a3abc8177c22e8a3fce905e3a5d537859b65ad07215f3e",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "9404da18ed481823ba9254972338f0c221cf7429e6d27eb42910dbfd6eedc294",
"outputIndex": 1,
"outputGlobalIndex": 42580089,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204bf3d387ea72d3a151dc9056375907b7205a98fd55697a85bdff289c611f0f60",
"sigmaType": "Coll[SByte]",
"renderedValue": "4bf3d387ea72d3a151dc9056375907b7205a98fd55697a85bdff289c611f0f60"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20f41f19f522330583b72090b2688950a0d18d1283bacc97400f5fc92c9fa2ed9b",
"sigmaType": "Coll[SByte]",
"renderedValue": "f41f19f522330583b72090b2688950a0d18d1283bacc97400f5fc92c9fa2ed9b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "79008d64cf8c032d226f3e9f79a2801d98ef9eda0a1c97b930a368f380efc02a",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "9ca4117467bae542cab5542d0afbe72db7671d417a194ed257a0a46bb4a6bb31",
"outputIndex": 1,
"outputGlobalIndex": 42580093,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e46fab6c1f512427ef6caaca10bbfa5187deffa46c6fb1dacb63cd5dd9521b59",
"sigmaType": "Coll[SByte]",
"renderedValue": "e46fab6c1f512427ef6caaca10bbfa5187deffa46c6fb1dacb63cd5dd9521b59"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20445f80c52bb72e933913d87055cb78c58fdf9b6b69348368e45e7248596c91c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "445f80c52bb72e933913d87055cb78c58fdf9b6b69348368e45e7248596c91c2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a11e25628031166a638e377a9911e57f0c89eebbca2aa8397083aca31780d621",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "c05b506d31494222726be9ece79c284a73bd8f1c51d51a375ca78b7a8937df6b",
"outputIndex": 1,
"outputGlobalIndex": 42580097,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203cd7fc0178e56597087163794434bf8a0c60f73d87f021766f09db0ec48261df",
"sigmaType": "Coll[SByte]",
"renderedValue": "3cd7fc0178e56597087163794434bf8a0c60f73d87f021766f09db0ec48261df"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20165563ddbff1b658c35176b5911147defa4bf79b03384adbcf86fa3b55a0f107",
"sigmaType": "Coll[SByte]",
"renderedValue": "165563ddbff1b658c35176b5911147defa4bf79b03384adbcf86fa3b55a0f107"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a90964cf3c73d2154054692842bd8b135bde1462ee6ba95fb13e352540d42aa0",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "e771e730217fbbf57eaa0bae943d7a2eedc0b28393dc3a88aebcde4957a5f1b9",
"outputIndex": 1,
"outputGlobalIndex": 42580101,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2048149b0d19ff8404d97a63ee9f7a4a6ce8acaad7593ec82f900fba3c20cab9ab",
"sigmaType": "Coll[SByte]",
"renderedValue": "48149b0d19ff8404d97a63ee9f7a4a6ce8acaad7593ec82f900fba3c20cab9ab"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e201779b8c1e7933fbb9aa728d3d58a94ae08c6fe936c19cd84886507ce28e49d9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "1779b8c1e7933fbb9aa728d3d58a94ae08c6fe936c19cd84886507ce28e49d9c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4e69b2eca2cabfb56c0dd909fd465cf6f7ca08f7a92ff11d0488a0a153b7568b",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "ec3836565073adfb32f583ce8c2aae4b052b264e0a6764c03471e7b0eb0d80ea",
"outputIndex": 1,
"outputGlobalIndex": 42580105,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20fea81fa4cd40de396f21428198753d255ae30bc29c5b9502ec92919d9ca5de3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "fea81fa4cd40de396f21428198753d255ae30bc29c5b9502ec92919d9ca5de3f"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "22cffd9e235daf8499a0b0a1247cdc6993b7ceba3c65dca8d8f7d2a0d83dea81",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "ee99014b7fe768ce454cea285310440187a73ba4747b21eabec3b44bee2eebb5",
"outputIndex": 1,
"outputGlobalIndex": 42580109,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a19f01f38cd023531fef00cefc86e5d2b45e493d05934cd330743db82203d00",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a19f01f38cd023531fef00cefc86e5d2b45e493d05934cd330743db82203d00"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20fefa20d7ce2c893391d3177e43633f2f2da79207eab09f60e8029009304bd195",
"sigmaType": "Coll[SByte]",
"renderedValue": "fefa20d7ce2c893391d3177e43633f2f2da79207eab09f60e8029009304bd195"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "96b9e598e84fa2ba73ffd01b712fc381be232b9de6ebacd94f7c828f0b7c20f6",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "f1ddc467f0bc16bc6845f0a094f4ff37f2514530a40992470b7efee1be15250e",
"outputIndex": 1,
"outputGlobalIndex": 42580113,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2053130c09f18b40fc23158265c823906841bfc155c94aebda0fc0a00beaf537cd",
"sigmaType": "Coll[SByte]",
"renderedValue": "53130c09f18b40fc23158265c823906841bfc155c94aebda0fc0a00beaf537cd"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20fc944b221d5c71061572e15a832d51abf849dd445f2b9180a29f8d92fd7d6599",
"sigmaType": "Coll[SByte]",
"renderedValue": "fc944b221d5c71061572e15a832d51abf849dd445f2b9180a29f8d92fd7d6599"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "1ba0aa96532b51b653c1ea4fce207a27e48a3b70c74f35d6cca31ca388a2feef",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "fd6fa3a5e6c7881a901576aca1c9b0ce4e678eb6272e449bbec5a1d7f88635c5",
"outputIndex": 1,
"outputGlobalIndex": 42580117,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207652c07ae16f7b6259bc96ae68845aecdc661c9b60d663ab97947f9ebf9aa6a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "7652c07ae16f7b6259bc96ae68845aecdc661c9b60d663ab97947f9ebf9aa6a9"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20944a209bf85a98d18ed144ca5101bf606badb96b9f56a01e6dc2cf43105a1cce",
"sigmaType": "Coll[SByte]",
"renderedValue": "944a209bf85a98d18ed144ca5101bf606badb96b9f56a01e6dc2cf43105a1cce"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0d7abf583719744c8dbbb330cc4227346f3df63261c4ca972628b10eb9f3b570",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "cc692c8af21249271b2598d5df16dbf5f65dee16dda31fb66d52806b92393e58",
"outputTransactionId": "fef3e89b3759ebe738b204679be418f251bcacaab50ff64bb06e4a3d68ecc632",
"outputIndex": 1,
"outputGlobalIndex": 42580121,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346133,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201c7db5d911947e98b9f82d50ac4d89f37ac06421f4d0329346e94d71729f9208",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c7db5d911947e98b9f82d50ac4d89f37ac06421f4d0329346e94d71729f9208"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e2069a4bdf31921709846b786aa12982d78c23bf7b7aa998e58d67b1ec66dcf23b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "69a4bdf31921709846b786aa12982d78c23bf7b7aa998e58d67b1ec66dcf23b7"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "6cde913f0361e97de2650fb17a58614e44cd1f140062ff301ac8d2a5a0559884",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "0ace977419a77dac30df3246461d79ed4a17b608263cb2c417d6d42297f2a730",
"outputIndex": 1,
"outputGlobalIndex": 42580143,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b13942af14938d71b35f46a743b20bf670157ecf939d724d08c35c230a0a6195",
"sigmaType": "Coll[SByte]",
"renderedValue": "b13942af14938d71b35f46a743b20bf670157ecf939d724d08c35c230a0a6195"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e202da16cd0101fcd06458d4af4d55b2490a99f45ab3a2fd713e50da2c9a350d52b",
"sigmaType": "Coll[SByte]",
"renderedValue": "2da16cd0101fcd06458d4af4d55b2490a99f45ab3a2fd713e50da2c9a350d52b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e49ea50e1ad73842e955d39973e1559210c9c914582ee0dcf6c5a2b4228ba473",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "1aeb73b4627a66f7e4ab99bf82149507fa868bb7fc8ce68022221f7c5aa8f727",
"outputIndex": 1,
"outputGlobalIndex": 42580147,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c1d8045ce80152802a1d29c92be1e8cbcabe857d1331869575c49ee4af938ee5",
"sigmaType": "Coll[SByte]",
"renderedValue": "c1d8045ce80152802a1d29c92be1e8cbcabe857d1331869575c49ee4af938ee5"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20b81f001954dcbf6de5259eeb4781f437babab6e62e2e21404948c6652ff5e483",
"sigmaType": "Coll[SByte]",
"renderedValue": "b81f001954dcbf6de5259eeb4781f437babab6e62e2e21404948c6652ff5e483"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4f54f2497c1a40b01af01bef3f0f3b278c89917a3f7de30d2640a19028503aa0",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "27f4ca01cc44e84b1dfa7312d19a62dddb076da42b5d3514b565034742927508",
"outputIndex": 1,
"outputGlobalIndex": 42580151,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cafd10602e83fc5d41c94b1cf3f2f98a6069e9657552bc521075ce2c8ae5a90e",
"sigmaType": "Coll[SByte]",
"renderedValue": "cafd10602e83fc5d41c94b1cf3f2f98a6069e9657552bc521075ce2c8ae5a90e"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20661cc7a4c388d865c85318aa4d8d9ce256d4846a8597ac9a452faf71feab542f",
"sigmaType": "Coll[SByte]",
"renderedValue": "661cc7a4c388d865c85318aa4d8d9ce256d4846a8597ac9a452faf71feab542f"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "768a060dc7f8bc90293442f92567d8b744ccb1b00a3fb01a4c9d74b68051e3ea",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "400bc41ee24d163801ea4a60f69ea853866db51f1214a4593ca92f5fe3984ce6",
"outputIndex": 1,
"outputGlobalIndex": 42580155,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20815b7aa090dc22e8933c4a8d1d4810010b6bf935f90675fbc8229c74a675f702",
"sigmaType": "Coll[SByte]",
"renderedValue": "815b7aa090dc22e8933c4a8d1d4810010b6bf935f90675fbc8229c74a675f702"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e205471741410960d442bfb3ced19392cbd14721fa6fd1b2585458154af827a5869",
"sigmaType": "Coll[SByte]",
"renderedValue": "5471741410960d442bfb3ced19392cbd14721fa6fd1b2585458154af827a5869"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "895add014da343b431e69fb4aa33f4893b45a95117b8575dceef20542abc8593",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "4d81c8af793a6ad12078a71f1e6268a3f55403c785cb73f005ae138b6e84ab50",
"outputIndex": 1,
"outputGlobalIndex": 42580159,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208ed8fdee85a640e7f49ddd4fb4c6d4a97e0e4b63306b4f26e8ed8335b3973849",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ed8fdee85a640e7f49ddd4fb4c6d4a97e0e4b63306b4f26e8ed8335b3973849"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20eae6b2bb02f173089ccee992407de9e4a1e04ae37ff7ff556a1601090f13c34e",
"sigmaType": "Coll[SByte]",
"renderedValue": "eae6b2bb02f173089ccee992407de9e4a1e04ae37ff7ff556a1601090f13c34e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "17076da4576ceb9cce04095c95bd7426cbae6b05fa750a389ae7b447dab3ff75",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "697a6541fa1a0d01b42fa16929f573a896c2c30bf7ec3d89c76d370e9a2245df",
"outputIndex": 1,
"outputGlobalIndex": 42580163,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e209c0c397ea7bce9667839e2472ab01d6c943b40b374e7ff66f6f59b71ab44eedf",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c0c397ea7bce9667839e2472ab01d6c943b40b374e7ff66f6f59b71ab44eedf"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b1caf5cfa7358c7061e76d0270ed7d3925dd527d4449cfb6be5f985957810894",
"value": 2000000,
"index": 38,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "989c15e0cd33b56a1c10e4b037b17b6301faed3563e77f9ae02a1e8fe042dcfa",
"outputIndex": 1,
"outputGlobalIndex": 42580167,
"outputCreatedAt": 1346132,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2043238051631a4a9d144adefefd51a76a8dd116753661a6a98994905c5b6e6bae",
"sigmaType": "Coll[SByte]",
"renderedValue": "43238051631a4a9d144adefefd51a76a8dd116753661a6a98994905c5b6e6bae"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e206312de1112a094afe8d4ed877a00ce4de2bbd1c2a048c5f69851963783fb7d29",
"sigmaType": "Coll[SByte]",
"renderedValue": "6312de1112a094afe8d4ed877a00ce4de2bbd1c2a048c5f69851963783fb7d29"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0fe4cb38be4430aec5ea0c2b22d698c6200bedeae23e5416bcd22a457e22f5a8",
"value": 2000000,
"index": 39,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "d20bccac4334a0d954882c165688cb1778016a4871313043618834985373656c",
"outputIndex": 1,
"outputGlobalIndex": 42580171,
"outputCreatedAt": 1346131,
"outputSettledAt": 1346134,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391",
"sigmaType": "Coll[SByte]",
"renderedValue": "b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20a4fc87b40e69a89d49ffee9b577e170fe4b1445c305bb2392f8f655854f04409",
"sigmaType": "Coll[SByte]",
"renderedValue": "a4fc87b40e69a89d49ffee9b577e170fe4b1445c305bb2392f8f655854f04409"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "61e714222c8df180143e341a7f2b2ebb26bce93f3f1e0fd64b5d4dff3c278fd3",
"value": 1010000,
"index": 40,
"spendingProof": null,
"outputBlockId": "5e605ac60129facc173d179fe7469c0830fa80449c6eea8236de6717074438a8",
"outputTransactionId": "89da00d7fac4f4d6c690a6c946d5aed740f696ab392b949f1e66f4b514f0454d",
"outputIndex": 1,
"outputGlobalIndex": 42580197,
"outputCreatedAt": 1346130,
"outputSettledAt": 1346134,
"ergoTree": "102404000e2034fb48be56d63bd4b16c2674a0da9d7e324854f1c7e886082a5063bfb8340e7c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2092d61d0717853b1b6f85758c5e92c7aa946b24051323c12598df9a53f6684df604000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZZfH2wJRvogecZo1YYXm32CoKnSZdtwxbjNoogRakUFe56VrrcULZtCkvAzM2MNRMxPYSfZc2rB6tkLKLCirG14JPDMfqBoWMhyzzQLVsDukZupema1i8SvYUuoaiPL5rTyQmqgF3ftPbvM2dHY623B3KsKRTNDhkoMoRmKLzenNWqjXpkANpyc3TCkDuvBypXfbWVN55F2ZZUs8L3XkvaJKcb74GY7whJB8Zg31VgpmVW4uVEuqpcvPk5FYNiTdRakyYTUVFnAdCR6ZDjagBYMr3ks2uHMhQdjmoKmmwCocVm4SGZsA8rU8zj6zrEgpepLT5UPD9sZQWtvSi6C82fPEW9pvNXr4T3sFx2xNRv8meyNUhopUfiRzVoWfx6Q4ArqU3dnmRtN8pxkDfTZr7oGrzAFAb3DRhBUPhhfWY2USAw7LMqMAuW65pdUFcGnczQH3B6V4kALNaoGMD7ixKtkdMkrAPHkJmxKzeMEd6Y49PnHWxFkQbXwqGELjDppqmdbKceyrtjUp3JwcZ5qN7YcLg1yXhFUiWAHhnAwGkHsTHivXADhV81sDBVqM1GUB3piyt6gkJ5My3SaRRTsokrnJLoGL23GwjEfTzDsvXCoXww3MQcwUUCXehQConnMxYsK7HHGV4wf8kbctrFd2ekPkeHm5ksjagEVzKMraZJgrRSRWEHdYmUGkU6tLGZTUF4Xe4MkdzXC3sRtif4iUnZg6Tnt3DEx2i5fmPD4xasYkusc6thd77x5x7MZXMdkxuo9BWTG9iiYAaE4aLQ5yEbrYeVY85DCVFAKXTsiwUH1De3rDhRZfFfQRuDqiYomDFumxofAa9k89yLeCSRyQpAH55BXLqvppusJyDwYJKd5itao8z3Qi2Fsvt7oL77fDnbotPwp7EkFbQZdGi7aUU1SdyfhxNwx6dYcFe2zpj6Spj7zb98FR2HahXwXnqqZjuym7RjN55bqPt2FufJ7CwdgQmiBMid7E1sAVMxBZyAeNbhHEqRJCajpUyGXswJjQJ9S1u9c4rRHzdntMtr2RXDtdgrt6b69GpZgZNeAX3QG9W9kQK4SAHE2BULEmNSBZHHitrRYdx97AsDLFfLpzfsPa82ew9oBy3PacMAF2WP48yxQrAzSA2p5idB5QFbYoECBBLsCyApG37AMuPrr24JrWmZLqR5XEPYnKojYrMcciwkn3L6jRpC5c1D9KrsTGk5dGtqBji1FE9XAVxuVpdddJjBSjphPx2UWtvJnwcxB8CoRSsVDF8RoyPcVwMmSfL5arDGJxBUzVu",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206561d704ec5e503940f3cfa3394f00f0a7d32d7fab6fa4d5259376aea76e0751",
"sigmaType": "Coll[SByte]",
"renderedValue": "6561d704ec5e503940f3cfa3394f00f0a7d32d7fab6fa4d5259376aea76e0751"
},
"R5": {
"serializedValue": "0e20d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d",
"sigmaType": "Coll[SByte]",
"renderedValue": "d76d8c2ac675c1c3d2268ea8bc96aa095e6e517f5c39c961d02dfe8917d2262d"
},
"R6": {
"serializedValue": "0e20b90054f07dd54cf1b8e5eefac5fe1edd338ffacaf0a248de579cb70d1a650753",
"sigmaType": "Coll[SByte]",
"renderedValue": "b90054f07dd54cf1b8e5eefac5fe1edd338ffacaf0a248de579cb70d1a650753"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "dfe9493753ae49a34dbe2796507a5563ea77f6605d100a827555e6e5476032c2",
"value": 2000000,
"index": 41,
"spendingProof": "93b55352aeef73a90ee3472393db9f010421626fd0856f279f602e1775da0cf4c9a4a75e59152fb29655d166521dccc5562eadfe0657d55f",
"outputBlockId": "334a286d4b224bcc1fe8acc4505bb8fc61b223d3a92dc9bfbbe464348ca76aaa",
"outputTransactionId": "6edd023d3594f9de371fd44800a91a8faeced2ba688c8064d4e5a8b4f4f082c7",
"outputIndex": 1,
"outputGlobalIndex": 42580225,
"outputCreatedAt": 1346135,
"outputSettledAt": 1346138,
"ergoTree": "0008cd024099ea334b62dfa6fad9e8787a47c13b466d4ef061ee6cff60e8728f5827d3a5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4099ea,201c53,...)))}",
"address": "9f1WfdAEnaoVtraqMDgjP1zQ2ktHhD17XwxnraVKGfCPX9f3sNM",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 23331,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "618cc316af3b09f867c100d708d6ed1200e5f297d0a93da172ed8eb0cd38f7bb",
"value": 2000000,
"index": 42,
"spendingProof": "41b2742d3313e8b554108ec9ec81fcce77dff5f31c2bc6c812eb89ce2e57fab81bfa255207bd1bd0af8235518c0b3b66b7d17f65f1fb87d5",
"outputBlockId": "b6f7d4d9f52be624c3798e2a780dd10ebb50a9e5191247a5e60453d8fdba88f1",
"outputTransactionId": "aee62d69dc23d385ba4f7d2d47ae9f4710e782646f6007eb57681b3be2aa40ad",
"outputIndex": 1,
"outputGlobalIndex": 40843162,
"outputCreatedAt": 1287403,
"outputSettledAt": 1287405,
"ergoTree": "0008cd024099ea334b62dfa6fad9e8787a47c13b466d4ef061ee6cff60e8728f5827d3a5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4099ea,201c53,...)))}",
"address": "9f1WfdAEnaoVtraqMDgjP1zQ2ktHhD17XwxnraVKGfCPX9f3sNM",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 10690,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "ad38d22c8607f7d1368c8d018357269559202f032905c97b7c3c27dcc06a7175",
"value": 1100000,
"index": 0,
"outputBlockId": "c3cfe73d20a313128c3bf13e9d49af733f2db46e9271bc12823bded4edec3ee3",
"outputTransactionId": "c1b2e8ef68b093578031712977752869c9dc3d62758c7f327f2749c1a566f6f0",
"outputIndex": 0,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
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"value": 2000000,
"index": 1,
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"outputTransactionId": "afd93e10dd97b90b7ee457ce1e7e71378b34c1ef78137664f87418d3364bc289",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0570",
"sigmaType": "SLong",
"renderedValue": "56"
}
}
}
],
"outputs": [
{
"boxId": "4cc1ceb6e9b066824d15ff6287cf669b48ec8156d9488f2a4f66e65a62a21b0d",
"transactionId": "611d087a07113116886bf3456b679c288703af62be1e2f2fe03581fd7b67dc8e",
"blockId": "334a286d4b224bcc1fe8acc4505bb8fc61b223d3a92dc9bfbbe464348ca76aaa",
"value": 81010000,
"index": 0,
"globalIndex": 42580236,
"creationHeight": 1346135,
"settlementHeight": 1346138,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-1,-114,36,72,50,63,55,-4,-126,-47,52,-124,-79,-21,-126,68,23,-22,-120,-87,-23,-84,-22,-43,74,66,7,-102,72,-89,70,-73)\n10: 1\n11: 0\n12: Coll(-36,-12,-24,57,-113,1,-39,-91,77,7,96,15,-53,-67,-12,-122,-106,106,0,60,-93,100,-55,-111,6,-40,62,-79,43,-102,-92,57)\n13: 21600\n14: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
"ergoTreeScript": "{\n val i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 123000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a6b569c21f38a24ce67bdc489d0825c46767912fb35fde984671c056e73492a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "a6b569c21f38a24ce67bdc489d0825c46767912fb35fde984671c056e73492a9"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[30303830623736333638383263653336386636643337613065393533346662363864653938396238663338646339646632623534356363363334653963623061,626974636f696e,63617264616e6f,626f783a646365646164313032386130643934633330386337653261643230663565396631353263383438363537656639306463656434663637633863616661396634342e32,616464723171787168333468677a377879746c73336774373065346b39767a6b67666d6134747679737466676e773672756e6177666864616b3670396d6878723279723734377a677875793868767730397067306372396d746471397568393573726439356b35,000000000002cba0,0000000000004c20,00000000000008d9,627463,32646263343966363832616432316636643138373035636634343666396637613237373733316162373061653231613435346638383862322e37323733343235343433,30303030303030303030303030303030303030326432373731363533373865393133626634353165666562613264353733303932333435323939363038636339,00000000000d1fc3]"
},
"R6": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
},
"R7": {
"serializedValue": "0452",
"sigmaType": "SInt",
"renderedValue": "41"
}
},
"spentTransactionId": "c571450cec3a3033a9682d533b44e6eb345630c9f80188dcf9f673574e9ba5a7",
"mainChain": true
},
{
"boxId": "ca0c9b45f77f937f1a1d55b1cde29de2c2fbe4dfed9299b96c6483e55da200cf",
"transactionId": "611d087a07113116886bf3456b679c288703af62be1e2f2fe03581fd7b67dc8e",
"blockId": "334a286d4b224bcc1fe8acc4505bb8fc61b223d3a92dc9bfbbe464348ca76aaa",
"value": 2000000,
"index": 1,
"globalIndex": 42580237,
"creationHeight": 1346135,
"settlementHeight": 1346138,
"ergoTree": "0008cd024099ea334b62dfa6fad9e8787a47c13b466d4ef061ee6cff60e8728f5827d3a5",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4099ea,201c53,...)))}",
"address": "9f1WfdAEnaoVtraqMDgjP1zQ2ktHhD17XwxnraVKGfCPX9f3sNM",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 34021,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "fc91e1e2cb3174e938119a5660d48784ed87a28a1486cf5c5e3c63a29c6e5909",
"mainChain": true
},
{
"boxId": "dd18147ab6eb6650127e4a914f6a882abd502f76d11cec512c6ea1e9bb208035",
"transactionId": "611d087a07113116886bf3456b679c288703af62be1e2f2fe03581fd7b67dc8e",
"blockId": "334a286d4b224bcc1fe8acc4505bb8fc61b223d3a92dc9bfbbe464348ca76aaa",
"value": 2000000,
"index": 2,
"globalIndex": 42580238,
"creationHeight": 1346135,
"settlementHeight": 1346138,
"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": "6ddcb70e494df0fa1a0d52127c3d67442c96f70269fae79cc91f32d16e7daca7",
"mainChain": true
}
],
"size": 2757,
"isUnconfirmed": false
}