Transaction
ID: e6b228b451...91cb
Inputs (39)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00101 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
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:
0.12021 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.07501 ERG
Tokens:
114,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.11816 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00205 ERG
Transaction Details
Confirmations: 477,043
Total coins transferred: 0.19522 ERG
Fees: 0.00205 ERG
Fees per byte: 0.000000789 ERG
Raw Transaction Data
{
"id": "e6b228b4511f4055f956b3cca59e7907712d45a8a3e232bf16d8f4d86a3f91cb",
"blockId": "bd4afa4df34b0967f1941b78044a01a7f25c61dfc8c2320bfae3abcc24211de5",
"inclusionHeight": 1286502,
"timestamp": 1718380756842,
"index": 3,
"globalIndex": 7352153,
"numConfirmations": 477043,
"inputs": [
{
"boxId": "b87fc459e8dca75e701fc0a20f6df72b117716a5b00b0c01e3f12da2a5fc9eca",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "f0c7a0b523b472d03c21b752f9e07c959faa400466bfd8709695545a14431c2c",
"outputIndex": 1,
"outputGlobalIndex": 40814641,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2035fd2be7fb75ef09c0310ff9d78711e01c52e665ec35b476df995ce2d007d134",
"sigmaType": "Coll[SByte]",
"renderedValue": "35fd2be7fb75ef09c0310ff9d78711e01c52e665ec35b476df995ce2d007d134"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2031fb2108fbc9d68e47e55e2ebccb919e22daa6e35fe05848f943faa001e8089e",
"sigmaType": "Coll[SByte]",
"renderedValue": "31fb2108fbc9d68e47e55e2ebccb919e22daa6e35fe05848f943faa001e8089e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "42dbdc58f06eb7d35bb100b34e558c79d32c7d8d70a2409f0b7678d2d5e186f6",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "3b44b672a7feea0c92f4a80ad482561fb7374e7edbf423fd00eaef19b3780436",
"outputIndex": 1,
"outputGlobalIndex": 40814646,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fedf1953ef78b12ba55647feeb22600c87c57bc8f55b367449f4dcb3bf4859eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "fedf1953ef78b12ba55647feeb22600c87c57bc8f55b367449f4dcb3bf4859eb"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2037d823c79bf8bfaae236e7afd6566872a942a0974c1539d0954cf899abbd77f0",
"sigmaType": "Coll[SByte]",
"renderedValue": "37d823c79bf8bfaae236e7afd6566872a942a0974c1539d0954cf899abbd77f0"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "00655a4d32cbfbc904e9c7aae5c0da1ceea2a563319754679f0de1f037dcc790",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "42b54dca306a60685ab4c0bb87c084104b8e4d5a5b4cb8c0c9adac2169644667",
"outputIndex": 1,
"outputGlobalIndex": 40814651,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e206524b27c12601e1a10b5e7aad89a00017cbd22136b1f00c0bdf38af0e04e6ccc",
"sigmaType": "Coll[SByte]",
"renderedValue": "6524b27c12601e1a10b5e7aad89a00017cbd22136b1f00c0bdf38af0e04e6ccc"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2076e9545266d2e466d3f13f75f734f957f948648aa9ce1a941af20d72fd80f055",
"sigmaType": "Coll[SByte]",
"renderedValue": "76e9545266d2e466d3f13f75f734f957f948648aa9ce1a941af20d72fd80f055"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "9ceee39d40a195e690921b45746a168171b11e142817fd3fb079ee4323bfc408",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "434fc49bb901d3e811d3eded80fb4b0554df07650142ddc4a21233158729b55f",
"outputIndex": 1,
"outputGlobalIndex": 40814656,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e2009e8fab0321c9b3bf2b9bb16d187c449bbc37db37a40843b87b46fa65ff60fde",
"sigmaType": "Coll[SByte]",
"renderedValue": "09e8fab0321c9b3bf2b9bb16d187c449bbc37db37a40843b87b46fa65ff60fde"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2083db6b77889f03b2ebfcb0944308675f8f9a07029242ddffd1b4f8235bbc6b33",
"sigmaType": "Coll[SByte]",
"renderedValue": "83db6b77889f03b2ebfcb0944308675f8f9a07029242ddffd1b4f8235bbc6b33"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "6ea865656d9ee06a450c6a31ae3003623fd1fa5f5af0b292f0a99c9b50a8dd2f",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "6a2a356b3e474ab15cf83d7299f376314c2dbaf37e665d71c6b6d705922f75a3",
"outputIndex": 1,
"outputGlobalIndex": 40814661,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20fff7d350800ee479a966c7ae3d979d5816a5bb2e435268f16f5de2515941cfcc",
"sigmaType": "Coll[SByte]",
"renderedValue": "fff7d350800ee479a966c7ae3d979d5816a5bb2e435268f16f5de2515941cfcc"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "aa2baf16f3e370e01222e631694a46f15389d7922ff9aa37ab88b1147ce2c665",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "ab72904064c8fca6d1f4cd7046d4fcb25834ab707debc58e5b22dc95bbe4715e",
"outputIndex": 1,
"outputGlobalIndex": 40814666,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e209424e7b813c4e079a359abc3f96d8599a5925ed64d86caed242437db9a5d2f07",
"sigmaType": "Coll[SByte]",
"renderedValue": "9424e7b813c4e079a359abc3f96d8599a5925ed64d86caed242437db9a5d2f07"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "66ccddae5d8417ace3660d85f02beb12ae41d85b8d7daff7aaf998c0c19f911f",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "df9fa42d07d6b81f62d3e6ff592450ba18915a0ea76b2cae91b15f844c85d3ab",
"outputIndex": 1,
"outputGlobalIndex": 40814671,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e203cd7fc0178e56597087163794434bf8a0c60f73d87f021766f09db0ec48261df",
"sigmaType": "Coll[SByte]",
"renderedValue": "3cd7fc0178e56597087163794434bf8a0c60f73d87f021766f09db0ec48261df"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20c0c90fea8e65c38e66cd8c87391af1d3db7f5e9235b26e132981b48e4ff01d20",
"sigmaType": "Coll[SByte]",
"renderedValue": "c0c90fea8e65c38e66cd8c87391af1d3db7f5e9235b26e132981b48e4ff01d20"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2365f1038c3ee507810221d158893f93812db294ade054f2aa9d36c70aeeedcc",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "ebd5a1ab08c8bb3e02742f644d2cf1f0f0702bebd2d0a2aae4c948ec096ceab3",
"outputIndex": 1,
"outputGlobalIndex": 40814676,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e200df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760",
"sigmaType": "Coll[SByte]",
"renderedValue": "0df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20cbc381939c21e7d5dd779762a9b7a36e365246e2477747379fec84581eb81dc4",
"sigmaType": "Coll[SByte]",
"renderedValue": "cbc381939c21e7d5dd779762a9b7a36e365246e2477747379fec84581eb81dc4"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5edb03ce843f344e97c55938ece23432ec0f28663ad36c7922d6c1d53a08360c",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "fa094389d81501c3e801523a1a50eac1330808843009220e302b2b7a6f66d38b",
"outputIndex": 1,
"outputGlobalIndex": 40814681,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fe362f1040820f1d8939a279369a0115f69d69233333328cc346181c599e0dad",
"sigmaType": "Coll[SByte]",
"renderedValue": "fe362f1040820f1d8939a279369a0115f69d69233333328cc346181c599e0dad"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20ad433d6f6d9e2a4f64252c7e1f7ef211c7fb1015254e061ffd48ed58576b567c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ad433d6f6d9e2a4f64252c7e1f7ef211c7fb1015254e061ffd48ed58576b567c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0caf5f653af7f21d96b867e507e4b400af35ade3dc5dbb678cb941fadbae2fd3",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "2014405d667874242586e294aea95384513f6fa3fd79ebf65a5a2d09f94d3311",
"outputIndex": 1,
"outputGlobalIndex": 40814689,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286495,
"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": "0e200f1620c324040061337672243aab5ce2c5987d6a00ec762aa6b07478bffb7cef",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f1620c324040061337672243aab5ce2c5987d6a00ec762aa6b07478bffb7cef"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20990fcf5ffc27242b1fce8c60ff018469e064eb1cd4a3e2af5534662fdec8f90a",
"sigmaType": "Coll[SByte]",
"renderedValue": "990fcf5ffc27242b1fce8c60ff018469e064eb1cd4a3e2af5534662fdec8f90a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e89f0bef92310b36eef11f6040225b1d4af35b79cb24c58f7cf2a298bdedb1e2",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "f995c52224fb4c406986ce7bb13311eefee0b6dd1719099140e2c9d6d32fa6d0",
"outputIndex": 1,
"outputGlobalIndex": 40814721,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e200da3b8c8b54524a0d0ed6e3d97ba1f9ba381fb86122aae4495e61381319e2eb1",
"sigmaType": "Coll[SByte]",
"renderedValue": "0da3b8c8b54524a0d0ed6e3d97ba1f9ba381fb86122aae4495e61381319e2eb1"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e204f9a294dc721ce56a13bf1faaf66f6245c75921632d782b1770bdb422f8e1ee3",
"sigmaType": "Coll[SByte]",
"renderedValue": "4f9a294dc721ce56a13bf1faaf66f6245c75921632d782b1770bdb422f8e1ee3"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "9890365f2c159012113b149025dce379a05d493b2ca7ff9b581841e0c7299fb7",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "0b1a16012f56542a3340c9159354b06b5e76d1c83cfc448b68a1b5e8b22324a9",
"outputIndex": 1,
"outputGlobalIndex": 40814726,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e204d37e957d0ef9cfd6a1e62ac8751ac78282ea26da2bcbf60ba0cac488b16be1a",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d37e957d0ef9cfd6a1e62ac8751ac78282ea26da2bcbf60ba0cac488b16be1a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "59197624113f6ff1afbb3ccba3d33f3848f691a9161e29fab19cb1f8d299972d",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "123c8262d58c74f10d046ca934230be50d5c1bac181f8e359ad066a0da50d226",
"outputIndex": 1,
"outputGlobalIndex": 40814731,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e20e46fab6c1f512427ef6caaca10bbfa5187deffa46c6fb1dacb63cd5dd9521b59",
"sigmaType": "Coll[SByte]",
"renderedValue": "e46fab6c1f512427ef6caaca10bbfa5187deffa46c6fb1dacb63cd5dd9521b59"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e204ba485d272043f49e4e66f2937647ec62f1d07de6d95f19901b22f52154575e5",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ba485d272043f49e4e66f2937647ec62f1d07de6d95f19901b22f52154575e5"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "41c3288b973e76e629ea720b42fb22fe3f5d3afb9fbdcd0f90b3df6e458693b3",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "17e2e17b3bfe63b3904eff84e0024744bc3b9b5484a3a38026973b2701469449",
"outputIndex": 1,
"outputGlobalIndex": 40814736,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e2085acb6414b6d884a3368b678b9ae0eb69d465fd962074cba9d8c0d7aea8fd2c6",
"sigmaType": "Coll[SByte]",
"renderedValue": "85acb6414b6d884a3368b678b9ae0eb69d465fd962074cba9d8c0d7aea8fd2c6"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2090ed35871272dff28e958a2d8634b5400494d33dcf3833f623c1f9ad5a4cbec1",
"sigmaType": "Coll[SByte]",
"renderedValue": "90ed35871272dff28e958a2d8634b5400494d33dcf3833f623c1f9ad5a4cbec1"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0f456caeefb7933fd010e9b6eceba73e7f77de07ef12a44f03cda903ec3a6f0e",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "1e73baa1b720ca5af6c620b9591e0c6e725c5cc8e4d8db3bb4fe399e5f76b32d",
"outputIndex": 1,
"outputGlobalIndex": 40814741,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e20431f83eb6eab400f26562387b37d92abf78521de8e51885cb9f8ea64959dfa71",
"sigmaType": "Coll[SByte]",
"renderedValue": "431f83eb6eab400f26562387b37d92abf78521de8e51885cb9f8ea64959dfa71"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e201ac94fb3a2d108eddbc978abd7470a23498ee3e81203dfdd9e246c0615da3825",
"sigmaType": "Coll[SByte]",
"renderedValue": "1ac94fb3a2d108eddbc978abd7470a23498ee3e81203dfdd9e246c0615da3825"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "bf9352df8ac91b15964294b7c32eaf4fafccbee5fbf7d157272509be0d347711",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "221830c47ac3897176c313f483be6e8ce7f69f2012806f450615bce2a617da66",
"outputIndex": 1,
"outputGlobalIndex": 40814746,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e20bca35449a1437e108bbab48ab85fc480cfe89f5a96b490dbfa9ef73e037a4bd3",
"sigmaType": "Coll[SByte]",
"renderedValue": "bca35449a1437e108bbab48ab85fc480cfe89f5a96b490dbfa9ef73e037a4bd3"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20ee1824439dfd766c611527da21ffd1f6ef41ce5a07263a254fa2512620e0159c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ee1824439dfd766c611527da21ffd1f6ef41ce5a07263a254fa2512620e0159c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "773236e53dfa544dc3c01bf8915eeff018d5f0144a9231638231e6978e7e6ea5",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "25e59d81b83dfe5974a4706337f1c89b09f2f24d6df270e8400d92a9e9194623",
"outputIndex": 1,
"outputGlobalIndex": 40814751,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286496,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e844fc6d63249e626b5451a06739b60cfb40d32eabd3cb6e4b48ea6ce19bdd0",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e844fc6d63249e626b5451a06739b60cfb40d32eabd3cb6e4b48ea6ce19bdd0"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20e9ee8189e07ba836b82698dd95e1a5257dfd4842b636883f07c31f4b8302570c",
"sigmaType": "Coll[SByte]",
"renderedValue": "e9ee8189e07ba836b82698dd95e1a5257dfd4842b636883f07c31f4b8302570c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a9539a8a666abddbbb294ee3fafcc52b6ea99f374cb5544183f0835d24433399",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "4192c7ceaf485b7a860bbdcc57cbac95d6d8308e846da22c8c752e3aaeafcfd2",
"outputIndex": 1,
"outputGlobalIndex": 40814756,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202a5e11cb271c064c074e5dd433bb8b5a70856ff6f7022b655051a6820d686165",
"sigmaType": "Coll[SByte]",
"renderedValue": "2a5e11cb271c064c074e5dd433bb8b5a70856ff6f7022b655051a6820d686165"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e201984101db4af05f046f94ff9b172064b4ef08090f4c77ad594896a434520d0cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "1984101db4af05f046f94ff9b172064b4ef08090f4c77ad594896a434520d0cb"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a4939f335b0199af5dcefddfdf83a5f97d41e09f6c2b35cbd71c6220e5fc425b",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "49128a6ae87596fe7c5bd78d0a7f0bd97d52efa7f4f4d5ad7c69916c17102a10",
"outputIndex": 1,
"outputGlobalIndex": 40814761,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20ca742a2b2bf6a4eda7426246f4a3dc8006572042135b5b57b80a2cc4d4f6df4d",
"sigmaType": "Coll[SByte]",
"renderedValue": "ca742a2b2bf6a4eda7426246f4a3dc8006572042135b5b57b80a2cc4d4f6df4d"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "bf0d39b534377bfa72f34224d9e99d75df6015b243340bd7de1d1313c729135b",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "4ee0d696b97857277cf0661998d01a546019ac2c3c8f6c5f5fa6a7c6d188aead",
"outputIndex": 1,
"outputGlobalIndex": 40814766,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207652c07ae16f7b6259bc96ae68845aecdc661c9b60d663ab97947f9ebf9aa6a9",
"sigmaType": "Coll[SByte]",
"renderedValue": "7652c07ae16f7b6259bc96ae68845aecdc661c9b60d663ab97947f9ebf9aa6a9"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e209c1f0f2156f1f736a12209900de168201b48f4b3d4b675e3ae5e55b327f52150",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c1f0f2156f1f736a12209900de168201b48f4b3d4b675e3ae5e55b327f52150"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e6c27a211d8ee7b4c589823b1dd103efc02f8056d1112cb3d415e1f0638d9077",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "744311c2b3fc2e3298a459fb484e55ed42830f120bd877e7f42c278c2ee6d419",
"outputIndex": 1,
"outputGlobalIndex": 40814771,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20da3fe4b79473ba392a77bcb2138c360ae1130be6a84f103787286385504d975e",
"sigmaType": "Coll[SByte]",
"renderedValue": "da3fe4b79473ba392a77bcb2138c360ae1130be6a84f103787286385504d975e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "87edfe61749d86364cd68875e4b2c62f122a974440cd8138e6dd27f85087cf03",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "9fcb0d71c36760bc0ceac7a64c058f5249d10f6f278f3c34f14ced2724fbac51",
"outputIndex": 1,
"outputGlobalIndex": 40814776,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e20b7c29a78912a29bdcafb44a52ad43074273308b840953456a70b245b772ec487",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7c29a78912a29bdcafb44a52ad43074273308b840953456a70b245b772ec487"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e203336543596ff9fafb1a55a3cb760e25617fdd2d25399af28a68f6f981cff4067",
"sigmaType": "Coll[SByte]",
"renderedValue": "3336543596ff9fafb1a55a3cb760e25617fdd2d25399af28a68f6f981cff4067"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "486f43da3c374eff5fbfa67acfaf965dc50bbcbd257ad5461f3dbcb4b8bbf9a5",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "cc588daca599fb272cea8b922283ce67c9972b00ed65a51afebc3efe95fe94b9",
"outputIndex": 1,
"outputGlobalIndex": 40814781,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20cf6c44e5a95cc021e97bc4129e078c570a5e55ba867c0dcdfa839be37a3bf2da",
"sigmaType": "Coll[SByte]",
"renderedValue": "cf6c44e5a95cc021e97bc4129e078c570a5e55ba867c0dcdfa839be37a3bf2da"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "505f90c5d512e92f0bb52fdd56d245ae1a913eea9bc00fcd8dc06430df406a61",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "f47b8d7ced94d8fd2644eacf40a7046f8d383f966ddfaa2155f712a0491c549b",
"outputIndex": 1,
"outputGlobalIndex": 40814786,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e200776e37848ee057564ad6a67b2c464a69c97185aa3e5bb250174d63ca778ea9d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0776e37848ee057564ad6a67b2c464a69c97185aa3e5bb250174d63ca778ea9d"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "567692ee81c23c130953604ac9292e32b9cd47c09870237f4b9cb17f06a56d63",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "0709e1f82f2c07f6b85cc18e445e4c3174c1336c59d0aa0b45ed00ffb04ffe5e",
"outputIndex": 1,
"outputGlobalIndex": 40814791,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286496,
"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": "0e206b91d83cf0e2d4fb73dea49a9823cc0f166d1b161225fc497fa1d54f858f9495",
"sigmaType": "Coll[SByte]",
"renderedValue": "6b91d83cf0e2d4fb73dea49a9823cc0f166d1b161225fc497fa1d54f858f9495"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20a93b0d4b9f5e4786e9d7854c016e0423bdfa19ff8f0515f0d65c69edf2c41d7a",
"sigmaType": "Coll[SByte]",
"renderedValue": "a93b0d4b9f5e4786e9d7854c016e0423bdfa19ff8f0515f0d65c69edf2c41d7a"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "486e40e2c285d978c83465625d4621b74ff53b97ec7b9ebd57f2e187a73e8dcf",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "258bc53c74cdd0a9fe1580af84b48684b33728f43c67f217f91b1fa9ac1394e9",
"outputIndex": 1,
"outputGlobalIndex": 40814796,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286496,
"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": "0e208def6bde07213f924716cd1914bc7cd2d36c95afe7fcc6115b67f1b2524b47b8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8def6bde07213f924716cd1914bc7cd2d36c95afe7fcc6115b67f1b2524b47b8"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20c37556a1e2e7084d1288cf48b0c1128ce7fc49a650951d3feb81dcf23c29730b",
"sigmaType": "Coll[SByte]",
"renderedValue": "c37556a1e2e7084d1288cf48b0c1128ce7fc49a650951d3feb81dcf23c29730b"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5a8ad627aceaee8c4619ad28ca9ab5b16ed5443bc953a1b6bad32845ae87def8",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "25c4c2fe2be57fd4e0fc418ee195370bf9aa5f8622ca3980097d60096734396b",
"outputIndex": 1,
"outputGlobalIndex": 40814801,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e207d8b2efeb2bcff1c4196bf2daa34c66aadcd455c78585ec7e5bb1f3b4066179b",
"sigmaType": "Coll[SByte]",
"renderedValue": "7d8b2efeb2bcff1c4196bf2daa34c66aadcd455c78585ec7e5bb1f3b4066179b"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e202d9ccf1a30d52795694511b79fd1f0c0868b07f952706987ee32e863c72b6f3e",
"sigmaType": "Coll[SByte]",
"renderedValue": "2d9ccf1a30d52795694511b79fd1f0c0868b07f952706987ee32e863c72b6f3e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3a9c2ae2b14b1a8576ba333e226be5c71eec3d62bb2bc7112efae0a67a9d99e8",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "78a32d364bb2a13307954feb4df7b9deef0c5e00848b461a50063b9162c25a82",
"outputIndex": 1,
"outputGlobalIndex": 40814806,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286496,
"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": "0e208a5f6fec7dd9e3f3dab4783fa28d80abd7e63307110b05b75d81e8fc3015c5e3",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a5f6fec7dd9e3f3dab4783fa28d80abd7e63307110b05b75d81e8fc3015c5e3"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20856eca0c7f6cb006335668419f0f923d307bafa33d43afab18f819906ae28f61",
"sigmaType": "Coll[SByte]",
"renderedValue": "856eca0c7f6cb006335668419f0f923d307bafa33d43afab18f819906ae28f61"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "9d1509f1bcb42c984b6ea89a289c3b6981cc55a358d0ff8bac622536a465e6ed",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "bb88cb0968504e7e4653b63d26691b28e32a8e31c695f4ddc09b0cc4e30c60e9",
"outputIndex": 1,
"outputGlobalIndex": 40814811,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286496,
"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": "0e2051e2f6c7a59ba93bc385da99efbf9fe97f5ef4d49db9b65e69d467108b71e3af",
"sigmaType": "Coll[SByte]",
"renderedValue": "51e2f6c7a59ba93bc385da99efbf9fe97f5ef4d49db9b65e69d467108b71e3af"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20f64bf0d287389ea438c47cfe970627ee7ed13b239ce19f0c805ed84fa0b6baa6",
"sigmaType": "Coll[SByte]",
"renderedValue": "f64bf0d287389ea438c47cfe970627ee7ed13b239ce19f0c805ed84fa0b6baa6"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "10858c1cc6cf049fac3586280d049a558168658c96a9ee762ec80c0438a63fce",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "d9ec0e75f9756537384bb49b7a3034a5c553a1bcb78d82ce220947dc549c58be",
"outputIndex": 1,
"outputGlobalIndex": 40814816,
"outputCreatedAt": 1286493,
"outputSettledAt": 1286496,
"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": "0e2041bf9b6d2ff891096f00f6d75e19a45e3e4a338b76a2597e8f26b846d8a3f54b",
"sigmaType": "Coll[SByte]",
"renderedValue": "41bf9b6d2ff891096f00f6d75e19a45e3e4a338b76a2597e8f26b846d8a3f54b"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20bad0c60c8149bc86b2de381935d21c1e6b4b885d972785b924a1e5ed424b879c",
"sigmaType": "Coll[SByte]",
"renderedValue": "bad0c60c8149bc86b2de381935d21c1e6b4b885d972785b924a1e5ed424b879c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "bb291e0146c1eccb037ee0a2c98a7d0c156528fd752fdace460787483e023c8e",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "d6c59598843e08ce5353e29f8a768e0c27b19e3d16b29a477d4642f661b37ace",
"outputIndex": 1,
"outputGlobalIndex": 40814821,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20bb7a3785d2ad2627c13bb2d418aab8aa1f99121e1164fa6a14a09e95f0276534",
"sigmaType": "Coll[SByte]",
"renderedValue": "bb7a3785d2ad2627c13bb2d418aab8aa1f99121e1164fa6a14a09e95f0276534"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a0bd2a1771e6e98923551b70490e5c3cebca9adcac822bb0f85694d8943b3fcb",
"value": 1010000,
"index": 31,
"spendingProof": null,
"outputBlockId": "834091066d39af1efb4d2bcead4212a3544fda477e80c88237f23b30bf82d4ba",
"outputTransactionId": "98e6b09bdd5971699318effdc81203ecf12b8b0962250d3d723c3b8a473a9a78",
"outputIndex": 1,
"outputGlobalIndex": 40814826,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286496,
"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": "0e206561d704ec5e503940f3cfa3394f00f0a7d32d7fab6fa4d5259376aea76e0751",
"sigmaType": "Coll[SByte]",
"renderedValue": "6561d704ec5e503940f3cfa3394f00f0a7d32d7fab6fa4d5259376aea76e0751"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2060c7e90109d44a76d1a85d5b78f4dee3ac1c7c8fd0eacc37f5f4e86d71ece4f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "60c7e90109d44a76d1a85d5b78f4dee3ac1c7c8fd0eacc37f5f4e86d71ece4f9"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "cc7147e72b63b7a4413afae9cbbd8e10eec1f5bc9f4525e7143bb85b8926d3a5",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "82dbad4e57cc38661ed38eafc0578053b29b034b41c00ed9d5d7940ea8f0c085",
"outputTransactionId": "8d8c7ddc9292d5e03b1b70dac756de819b73b91f57c80f38b4df8f8111970063",
"outputIndex": 1,
"outputGlobalIndex": 40814886,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286497,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a744b925238716d6a890f19944246b5d5f20ee0ae098728356d42343fb568b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a744b925238716d6a890f19944246b5d5f20ee0ae098728356d42343fb568b6"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e205b5f061754d196db62a47a7fa9ca5e47e729f21d771ade121693069bec2e08e0",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b5f061754d196db62a47a7fa9ca5e47e729f21d771ade121693069bec2e08e0"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "20ce25e7cdbda27c281730f32adef1e5920d9bc808be040d901138b619ec7249",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "82dbad4e57cc38661ed38eafc0578053b29b034b41c00ed9d5d7940ea8f0c085",
"outputTransactionId": "dc7c9853928cbb4e435bb2787fa9ee999383a5985951a78cfa3c1f0198f10e9b",
"outputIndex": 1,
"outputGlobalIndex": 40814891,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286497,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e2027cd28fea85220bbb1fd228888b201976907ce81d90223e571d261c55c641e99",
"sigmaType": "Coll[SByte]",
"renderedValue": "27cd28fea85220bbb1fd228888b201976907ce81d90223e571d261c55c641e99"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "45f02659d3ef1d60d6a1b797ef4580c7bdaa1c81e0e0b1126b9ccca72e2c1901",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "82dbad4e57cc38661ed38eafc0578053b29b034b41c00ed9d5d7940ea8f0c085",
"outputTransactionId": "a5e5110025d4c17d4fe5d4dfcb0c705f53c678b869064565e16e97baf78c3b09",
"outputIndex": 1,
"outputGlobalIndex": 40814896,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286497,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20718e049c73ce32a62339d995b4d8af47c61e5c710e0b05bf9ea55461d4af2a51",
"sigmaType": "Coll[SByte]",
"renderedValue": "718e049c73ce32a62339d995b4d8af47c61e5c710e0b05bf9ea55461d4af2a51"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20cc6da3a38ad7c4547ab7454d9e76ab2173499a1d95c1748ad8422b796ee99f48",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc6da3a38ad7c4547ab7454d9e76ab2173499a1d95c1748ad8422b796ee99f48"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "0f52eeb72185e77da07898c8349ad18315b860fb8757dfd94bf0427647cc447b",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "82dbad4e57cc38661ed38eafc0578053b29b034b41c00ed9d5d7940ea8f0c085",
"outputTransactionId": "a6eea0134e4184fed3b1fbf320dfe42ec455b6fe7b4c35fab24818766c1bb843",
"outputIndex": 1,
"outputGlobalIndex": 40814901,
"outputCreatedAt": 1286494,
"outputSettledAt": 1286497,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fccc9c9b540920076d99db0b49c89eb765f2436c433e6cbec90c7a59e14d599a",
"sigmaType": "Coll[SByte]",
"renderedValue": "fccc9c9b540920076d99db0b49c89eb765f2436c433e6cbec90c7a59e14d599a"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20ea5631a18c62bfa908a76f43a2ef1da8ced22dbd056f216e592cb248b4fdc179",
"sigmaType": "Coll[SByte]",
"renderedValue": "ea5631a18c62bfa908a76f43a2ef1da8ced22dbd056f216e592cb248b4fdc179"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "92bfc95f870b3275d6d41e0071dea294ac8fc47f74639561dbf863c4e8e6c1ea",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "e0ade8c7cdc56d46301ce85fe2b0fe680f6fa15fa142c012860433bf8a432766",
"outputTransactionId": "2a197d6c0c5231912e3063ae616ba913306441c572f1d4172cd83584173c0e86",
"outputIndex": 1,
"outputGlobalIndex": 40814934,
"outputCreatedAt": 1286497,
"outputSettledAt": 1286499,
"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": "0e200c13d53a2deb09c77b4189fb5b181d063a933b162dd1b81b23f2c058e0ce99c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c13d53a2deb09c77b4189fb5b181d063a933b162dd1b81b23f2c058e0ce99c9"
},
"R5": {
"serializedValue": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20700e99504fd97d29a35bf5f1fc1106ee339ce3a92ac0f8e86091e1b982a94234",
"sigmaType": "Coll[SByte]",
"renderedValue": "700e99504fd97d29a35bf5f1fc1106ee339ce3a92ac0f8e86091e1b982a94234"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "174b6a7de734f48c29c0119f3cefe76efabbe6fd9a91876e189ff6ea5ed84fa7",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "e0ade8c7cdc56d46301ce85fe2b0fe680f6fa15fa142c012860433bf8a432766",
"outputTransactionId": "51971e0bc2a66ad43765351726155b6836b305ce2aa7dc13aa4f291788c2bcbc",
"outputIndex": 1,
"outputGlobalIndex": 40814939,
"outputCreatedAt": 1286495,
"outputSettledAt": 1286499,
"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": "0e205b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761",
"sigmaType": "Coll[SByte]",
"renderedValue": "5b898266f5158642545f540700117243258c883bf7f52033f54c72fb6bd6c761"
},
"R6": {
"serializedValue": "0e20b8b5a75e8cde3b893d7ed555cdd5b52ac501ba7e597816e1318097015fb6c830",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8b5a75e8cde3b893d7ed555cdd5b52ac501ba7e597816e1318097015fb6c830"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "63d8f4ed7272b59bb0a9b6a0d36033efbc71a6ffc9c0030c68ad78eba3bdacb0",
"value": 120210000,
"index": 38,
"spendingProof": "c737bbb9f4804ca29f19e335d0e0f2d04fdf69c9c350338b37048308a92f69cd099ff0079b459d8b3df5d609071f1fbf6a31279f8b3847c4",
"outputBlockId": "b1ccf1967567cf6b2752c5cceee434bd616c3590b6e128b216736963655a36ab",
"outputTransactionId": "90b1e8c080e6bc733326d68c7a66dd08862ebf037dc8b66e7ee98174ee8525cf",
"outputIndex": 1,
"outputGlobalIndex": 40522135,
"outputCreatedAt": 1277834,
"outputSettledAt": 1277836,
"ergoTree": "0008cd0314d5b9bffb0c54cc22f772b2299b8fe13597bb7d9f7234d1a2f7d3df72c778dd",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(14d5b9,cef0f1,...)))}",
"address": "9gcytabf6iESHbie5zgKBaWtLFXxKowBZdpBsBjWwpoXN8r9EwH",
"assets": [
{
"tokenId": "e005c3748329d38727987b639c876808b9cc3332c1d9fe601782783f6736380e",
"index": 0,
"amount": 1,
"name": " INTRODUCING $GIF",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2e2a68e47335e2e0afc9eed7855fc0590aa50f84daa5453f1d8e59b575d34e48",
"index": 1,
"amount": 123,
"name": "maff",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "ad38d22c8607f7d1368c8d018357269559202f032905c97b7c3c27dcc06a7175",
"value": 1100000,
"index": 0,
"outputBlockId": "c3cfe73d20a313128c3bf13e9d49af733f2db46e9271bc12823bded4edec3ee3",
"outputTransactionId": "c1b2e8ef68b093578031712977752869c9dc3d62758c7f327f2749c1a566f6f0",
"outputIndex": 0,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "aaadf3ec1d92ecc0f0a3b8c7f5eafdce800f3a531350585672ba8193faae73f7",
"value": 2000000,
"index": 1,
"outputBlockId": "63ef87c12179dd0a5151015c7fecd45a20f857eee9beb8599c8b037e23d6d02c",
"outputTransactionId": "b1b506ae4f101b8165b7ebae679539e823b8d9d1301d9e33f36e51128ff2785b",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0568",
"sigmaType": "SLong",
"renderedValue": "52"
}
}
}
],
"outputs": [
{
"boxId": "973467852b6f5a05375050c1f70dfa493156f67418b54135482e99203ac05da1",
"transactionId": "e6b228b4511f4055f956b3cca59e7907712d45a8a3e232bf16d8f4d86a3f91cb",
"blockId": "bd4afa4df34b0967f1941b78044a01a7f25c61dfc8c2320bfae3abcc24211de5",
"value": 75010000,
"index": 0,
"globalIndex": 40814968,
"creationHeight": 1286500,
"settlementHeight": 1286502,
"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": 114000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a03896ef356c3999afd6d5fbaaface5fe5c2c8212cf49b0c103c413513fc6c42",
"sigmaType": "Coll[SByte]",
"renderedValue": "a03896ef356c3999afd6d5fbaaface5fe5c2c8212cf49b0c103c413513fc6c42"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[61386364363330333831396162326432373834633837616463376163313962643736626135613232363537336132383966646138643937633562363363373239,626974636f696e,63617264616e6f,626f783a353261643839306130356133316632303561386530333330616262616532656266666335313631356661383135636532343638333433356266643664313764382e30,61646472317138676872336d796b3638727170347077646e64683066747476773376733039736a7633657066793433657974726c6c767073326378347539737765643761653476397933736c3439356876326d306e61646e35717963686b776573646b796a3536,00000000006b5371,0000000000008961,0000000000000141,627463,32646263343966363832616432316636643138373035636634343666396637613237373733316162373061653231613435346638383862322e37323733343235343433,30303030303030303030303030303030303030313061303430336339333136353565346466616638626466363938333035643835653331353730663834383336,00000000000cf029]"
},
"R6": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
},
"R7": {
"serializedValue": "044c",
"sigmaType": "SInt",
"renderedValue": "38"
}
},
"spentTransactionId": "7056754a92fbbde2acca9a13ead1306b58bc1ba152203455014939c35a460ac0",
"mainChain": true
},
{
"boxId": "d24f031a0fc396cb8e00a850ee0c91aac2bc5f1492fefe4d90c6985afeff94e5",
"transactionId": "e6b228b4511f4055f956b3cca59e7907712d45a8a3e232bf16d8f4d86a3f91cb",
"blockId": "bd4afa4df34b0967f1941b78044a01a7f25c61dfc8c2320bfae3abcc24211de5",
"value": 118160000,
"index": 1,
"globalIndex": 40814969,
"creationHeight": 1286500,
"settlementHeight": 1286502,
"ergoTree": "0008cd0314d5b9bffb0c54cc22f772b2299b8fe13597bb7d9f7234d1a2f7d3df72c778dd",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(14d5b9,cef0f1,...)))}",
"address": "9gcytabf6iESHbie5zgKBaWtLFXxKowBZdpBsBjWwpoXN8r9EwH",
"assets": [
{
"tokenId": "e005c3748329d38727987b639c876808b9cc3332c1d9fe601782783f6736380e",
"index": 0,
"amount": 1,
"name": " INTRODUCING $GIF",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2e2a68e47335e2e0afc9eed7855fc0590aa50f84daa5453f1d8e59b575d34e48",
"index": 1,
"amount": 123,
"name": "maff",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4912b30743a8840617fb904d8abbd03a369fdafe9385be5fcae8d90a2e2922a5",
"mainChain": true
},
{
"boxId": "61a2b11ad52387a25dacecd247376fb9954a89074e37fcf5008f5eb3350b5d3c",
"transactionId": "e6b228b4511f4055f956b3cca59e7907712d45a8a3e232bf16d8f4d86a3f91cb",
"blockId": "bd4afa4df34b0967f1941b78044a01a7f25c61dfc8c2320bfae3abcc24211de5",
"value": 2050000,
"index": 2,
"globalIndex": 40814970,
"creationHeight": 1286500,
"settlementHeight": 1286502,
"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": "9cca6d508a7bc38596d0da55fc8df01b0310aef91016978e06a12ede2d47bc12",
"mainChain": true
}
],
"size": 2598,
"isUnconfirmed": false
}