Transaction
ID: 0a28c79137...acb7
Inputs (23)
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:
2 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.044 ERG
Tokens:
66,000
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 241,672
Total coins transferred: 2.04 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001037 ERG
Raw Transaction Data
{
"id": "0a28c791371ffd84188d390e2be59df461c99834a90bc892d3e44be7c74bacb7",
"blockId": "d048f9d3b969b1664f17c1889247c7c19f56544c5c16f1bd38d7795a22ecde67",
"inclusionHeight": 1524971,
"timestamp": 1747249324270,
"index": 6,
"globalIndex": 8964177,
"numConfirmations": 241672,
"inputs": [
{
"boxId": "c2d08f820ea31adffaa136fccecc20eb5437aafde171c61efd3fd95d7b0813dd",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "9e947349348bd40e9200a04477d410eeb82a45e6b03e4c0cf8fe5f0a5fa10bee",
"outputIndex": 1,
"outputGlobalIndex": 47873848,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e20724c40ad32755741c0e3b19130e2e863fa83019668f936f9426829d03a8f1420",
"sigmaType": "Coll[SByte]",
"renderedValue": "724c40ad32755741c0e3b19130e2e863fa83019668f936f9426829d03a8f1420"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20a266dad0b03ef229baf6add02001a123f5ba91acb6e8446da0180ca50fe265c3",
"sigmaType": "Coll[SByte]",
"renderedValue": "a266dad0b03ef229baf6add02001a123f5ba91acb6e8446da0180ca50fe265c3"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "2c904363820bbd4354d26ab38fa9ab35640d3009df48269125e7f5934303b14c",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "9636f756f12a88f46dc0e62269da8958da665bc1f0389a6478d43348675168e4",
"outputIndex": 1,
"outputGlobalIndex": 47873852,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e2095ef608436d32e39a9fe1586eef3a54061f170399fcb7e545646550d6d823653",
"sigmaType": "Coll[SByte]",
"renderedValue": "95ef608436d32e39a9fe1586eef3a54061f170399fcb7e545646550d6d823653"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e2029bb6f91e73b1e8b5c3f6a0cbbd641932b201edd4ba523d94e1bfc8493b37715",
"sigmaType": "Coll[SByte]",
"renderedValue": "29bb6f91e73b1e8b5c3f6a0cbbd641932b201edd4ba523d94e1bfc8493b37715"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "1793e874459efc61a4ca5412bb9edc0f60ac0816094500810547656c91e661c9",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "410be4a7d06fbf5fbfa7cba0961cdba481ca0b0bf44d01bdaf0ace6a34090d04",
"outputIndex": 1,
"outputGlobalIndex": 47873857,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e20fe362f1040820f1d8939a279369a0115f69d69233333328cc346181c599e0dad",
"sigmaType": "Coll[SByte]",
"renderedValue": "fe362f1040820f1d8939a279369a0115f69d69233333328cc346181c599e0dad"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20804a2e44c1c8afca801586a53e0611e3cbd8c5d781c8669c487d0f7d03138384",
"sigmaType": "Coll[SByte]",
"renderedValue": "804a2e44c1c8afca801586a53e0611e3cbd8c5d781c8669c487d0f7d03138384"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "9efb6dc65a7e5f9488ec1db4c7365595e3e3f2333bfe830cd2016af169c0c461",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "432831d0c78b6d2a04368a46c130e5410cd6d490044bcc5d17e0d006050389a8",
"outputIndex": 1,
"outputGlobalIndex": 47873862,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e2069da576b833f5c8febb5a844512d966856391990f377d7cefdfdcbb7e0b1dcc5",
"sigmaType": "Coll[SByte]",
"renderedValue": "69da576b833f5c8febb5a844512d966856391990f377d7cefdfdcbb7e0b1dcc5"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "e88835edaa5b3e527ff638e8f2d74fbc16e3b1bb7ef7e367f8a03e0b11dda835",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "65ee94c8874da98cbee37cbc27bdd0fc416931076d0e814dcc0423abb71a38b4",
"outputIndex": 1,
"outputGlobalIndex": 47873867,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e20cc04764baed60e6bbe3bd46ec928d7ad330980ff1531dd47aff732ead8dead26",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc04764baed60e6bbe3bd46ec928d7ad330980ff1531dd47aff732ead8dead26"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e2057020911b60d4073cd9a334c56909e6d245a6894d4ea3baeeea8b96972112c27",
"sigmaType": "Coll[SByte]",
"renderedValue": "57020911b60d4073cd9a334c56909e6d245a6894d4ea3baeeea8b96972112c27"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "b7dd74ac8b6adc196238edf9614739c85e9dfd288638ce97556b7da72fe6b935",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "e5cded639b0694efcdefb8423ffbbd932cdf133c70e6efd5db7fc4eb27444b6b",
"outputIndex": 1,
"outputGlobalIndex": 47873872,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(52,-5,72,-66,86,-42,59,-44,-79,108,38,116,-96,-38,-99,126,50,72,84,-15,-57,-24,-122,8,42,80,99,-65,-72,52,14,124)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-110,-42,29,7,23,-123,59,27,111,-123,117,-116,94,-110,-57,-86,-108,107,36,5,19,35,-63,37,-104,-33,-102,83,-10,104,77,-10)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "30e4392fc439fce9948da124efddb8779fe179eef5a5d6196e249b75ee64defc",
"index": 0,
"amount": 3000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203719f5f314ad710849370447de39b443dcc8de51acc232f9a0b250e25f218bbc",
"sigmaType": "Coll[SByte]",
"renderedValue": "3719f5f314ad710849370447de39b443dcc8de51acc232f9a0b250e25f218bbc"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e202a47a750503562edd4a0b2d33442c70836b8545ca3ed1ac6a3e539a456ae30a2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2a47a750503562edd4a0b2d33442c70836b8545ca3ed1ac6a3e539a456ae30a2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "454c92c64d47a127ae700d9a1f0486ca5029655859545da2b12f68f6d522180f",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "efe0e0ea2f5d9454e128740f2e7566950b40d4b2b72f4574a96e565db87d866e",
"outputIndex": 1,
"outputGlobalIndex": 47873877,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e20f4ef3facc17f46348001549175b189e994c3f8206b96f07efd5cd10e7d21adca",
"sigmaType": "Coll[SByte]",
"renderedValue": "f4ef3facc17f46348001549175b189e994c3f8206b96f07efd5cd10e7d21adca"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e202dfd3244bccfe81f4feb7692c53a7682c9222b704c619d8054bff5b52c8d4cbd",
"sigmaType": "Coll[SByte]",
"renderedValue": "2dfd3244bccfe81f4feb7692c53a7682c9222b704c619d8054bff5b52c8d4cbd"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "92aa6ca9ba24034436d5314275b249c633a5fd69fe2177458e49a4c2e4879e75",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "409157fab9c65977289f844787d068a6933b59761462b0459f54e76c6f6b1a81",
"outputTransactionId": "2c7a934e17b409163f703adc8b2e11cc642ea2f5136cf6afde9a0bb49ffde21e",
"outputIndex": 1,
"outputGlobalIndex": 47873882,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524964,
"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": "0e200284ecf734b34f6ba74401d07051be7a4f0877711c9d0af7f88333d21944c732",
"sigmaType": "Coll[SByte]",
"renderedValue": "0284ecf734b34f6ba74401d07051be7a4f0877711c9d0af7f88333d21944c732"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20d92273600a302dddfcf1e48d8b74256e61535c40d4f11f1b611850af4948c78c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d92273600a302dddfcf1e48d8b74256e61535c40d4f11f1b611850af4948c78c"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "3a0321052dcb74e7d2faf1e3eb3d4e90333d7d26339e8c4d27568c39f7a75309",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "d8c12d66c28dadb98a3872cd7efa7897bc4d33888099b2e770d913dbaf0acd0a",
"outputIndex": 1,
"outputGlobalIndex": 47873892,
"outputCreatedAt": 1524963,
"outputSettledAt": 1524965,
"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": "0e20525dffbc668903655a25381c7d62c8c8948cc95e556c01c8c06dc92e8b7c2017",
"sigmaType": "Coll[SByte]",
"renderedValue": "525dffbc668903655a25381c7d62c8c8948cc95e556c01c8c06dc92e8b7c2017"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e200811d8f536f73ea7b1942e69ac6c2f6be6ce6835e458043723d537fa6d8b7f78",
"sigmaType": "Coll[SByte]",
"renderedValue": "0811d8f536f73ea7b1942e69ac6c2f6be6ce6835e458043723d537fa6d8b7f78"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "234463fb02ca0ef642941805d44fc1a1ece949188bc8bbb2ae8ca0b9839d30ff",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "c4e8e700113ea4b3485cb7891985314e91ee5cf6aa0f7565eaff9b33c1a350f7",
"outputIndex": 1,
"outputGlobalIndex": 47873897,
"outputCreatedAt": 1524963,
"outputSettledAt": 1524965,
"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": "0e20bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbffacbe4ea22c75b4ae313088bf3137db997db8c6d74923a8b0b6fda41fa609"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e2086be889f43e0dc77a591f228a7bc4b32b0551c52a696d6324865ac69f6029202",
"sigmaType": "Coll[SByte]",
"renderedValue": "86be889f43e0dc77a591f228a7bc4b32b0551c52a696d6324865ac69f6029202"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "25807a910f10a4625319a941f2503770491cd431f7eaf13cefe66201aaeb90b7",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "ed8542c1c647f4fddaffdddea88d3bc98bea675c3157032534035c52754d7bb0",
"outputIndex": 1,
"outputGlobalIndex": 47873902,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20652a39b6bc6304d986c376e11b6383a03e3636d048889cebe9782a80b780bc50",
"sigmaType": "Coll[SByte]",
"renderedValue": "652a39b6bc6304d986c376e11b6383a03e3636d048889cebe9782a80b780bc50"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "82e9b0d320261a64a8695314fcc86083d83dfc83eefd9bcb6873f63e3be093ab",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "1c2abaf5ca4f4517c7a80eacac85d42aaee74e59aaffb19f555ce005e8e0710f",
"outputIndex": 1,
"outputGlobalIndex": 47873907,
"outputCreatedAt": 1524963,
"outputSettledAt": 1524965,
"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": "0e20a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8a1e1264782cbb64c4b74df836347423212f1d1906cdcadfa1479c34df535c5"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e201c73d7ec03346578efd4ac901a2ceeb72cfdff4b07df5e6e76142cadf3a402fc",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c73d7ec03346578efd4ac901a2ceeb72cfdff4b07df5e6e76142cadf3a402fc"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "25218dfb2cb57b5d46db1d003a706f6562dcb2cefdea00c4f9823687b0550327",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "45447f7ccd24d981786a48aaebc79bceb3d55809886af40907bd8b084ee5ee7d",
"outputIndex": 1,
"outputGlobalIndex": 47873912,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e20b13942af14938d71b35f46a743b20bf670157ecf939d724d08c35c230a0a6195",
"sigmaType": "Coll[SByte]",
"renderedValue": "b13942af14938d71b35f46a743b20bf670157ecf939d724d08c35c230a0a6195"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20d8915fdda2453064a1e22df1afccb013d58c6754e4caf1fc3c9cc28d118b90f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "d8915fdda2453064a1e22df1afccb013d58c6754e4caf1fc3c9cc28d118b90f1"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "a7d2cebb5818ec491ef52259d2a3382e52ec1e450f47c32e12bf293849c43d26",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "8c32c4efdbd9f94380b712b9ec924e672bffd64979553080db788f5fcafa14ac",
"outputIndex": 1,
"outputGlobalIndex": 47873917,
"outputCreatedAt": 1524963,
"outputSettledAt": 1524965,
"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": "0e20b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391",
"sigmaType": "Coll[SByte]",
"renderedValue": "b88b0e23f49910b81c2f13bc1029bd82550ddd3488c4578590ade538ee6b9391"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e2067ad40b62698d5b383bd7416666c25dd53688fc1374d446b8be7648e97d33835",
"sigmaType": "Coll[SByte]",
"renderedValue": "67ad40b62698d5b383bd7416666c25dd53688fc1374d446b8be7648e97d33835"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "71950dc544c4cc141a467621ee1f393a1322034cd2a94516be86205be9600dcf",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "966a65d6e38264df4d86cc4f69dd6cf7723dbe5934325b9d9d197d6f309a73cd",
"outputIndex": 1,
"outputGlobalIndex": 47873922,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e2041dc9266f9b9083e20193dfd8447a3333cabe780d2f45b7279da539130891861",
"sigmaType": "Coll[SByte]",
"renderedValue": "41dc9266f9b9083e20193dfd8447a3333cabe780d2f45b7279da539130891861"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e203c4838a46f027c0a08759f4bf8787ab797acadf376762c67ed3ad8c6ca8f35f6",
"sigmaType": "Coll[SByte]",
"renderedValue": "3c4838a46f027c0a08759f4bf8787ab797acadf376762c67ed3ad8c6ca8f35f6"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "5c32e3a8f33377d9ab7ea0416e7eb74106cd4c2cae9b79f0f2e6decd9ac44567",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "dfe3374f6d51fa1955773ed14e7835ba7fc409494a6018876bf462acfd1ba16a",
"outputIndex": 1,
"outputGlobalIndex": 47873927,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20cfd51b4c6a579cc5c0053673f2990744f434a588a52a751b3b96ec9d61834972",
"sigmaType": "Coll[SByte]",
"renderedValue": "cfd51b4c6a579cc5c0053673f2990744f434a588a52a751b3b96ec9d61834972"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "f1e28405abd13487182ccee2b11d647f2660198656a99273499815f0bfcc15af",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "fe937ebaa1debd0d9774a550f75a508af03576b0940391130321e67f99c9e93a",
"outputIndex": 1,
"outputGlobalIndex": 47873932,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e2011db85d15bfdca40a310a77983696990911b87f2ba25665d036370235d5a84ea",
"sigmaType": "Coll[SByte]",
"renderedValue": "11db85d15bfdca40a310a77983696990911b87f2ba25665d036370235d5a84ea"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20a77c4de69c4a81f2bd3495f799582bcf59b3db62584e1b2779491219042f1a4e",
"sigmaType": "Coll[SByte]",
"renderedValue": "a77c4de69c4a81f2bd3495f799582bcf59b3db62584e1b2779491219042f1a4e"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "da035c0ee043e6dbd6cc69e3d27e2600fb30cfd1a8051765c4f61ea904e522dd",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "7e29ad98508ba4f9d318caa40878edad641b75287dc5f4c8a652ae1818eb23a5",
"outputIndex": 1,
"outputGlobalIndex": 47873937,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e2021cef27cf45779a9e9f8f9c7e8b510f9076b892db2af52f18f26fde2e0bd143d",
"sigmaType": "Coll[SByte]",
"renderedValue": "21cef27cf45779a9e9f8f9c7e8b510f9076b892db2af52f18f26fde2e0bd143d"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20b19b639b1b263562c5bcfc9b35c23e9728312cf6b6fc37bfbcfa5c21ea67a0c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "b19b639b1b263562c5bcfc9b35c23e9728312cf6b6fc37bfbcfa5c21ea67a0c2"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4f0ee629164868abcb779477290159d9bb09437547827779beb58b8374d0f1bc",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "7f9f887011518f2971a91681629f4a46b58ccb72dbd4ca763027694a9694cc68",
"outputIndex": 1,
"outputGlobalIndex": 47873942,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e200df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760",
"sigmaType": "Coll[SByte]",
"renderedValue": "0df0eb94a27b628cde9463d45518024dfa110acc53e824260091cb6e35ec5760"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20971132a1717b9423d13b28195c75f5a5fa77c509bc371b8dd7923c4430452176",
"sigmaType": "Coll[SByte]",
"renderedValue": "971132a1717b9423d13b28195c75f5a5fa77c509bc371b8dd7923c4430452176"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "79e43d4c4c8af4df4a1f034f856441a778e345cf802a3ad2102a2a00d0f34745",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "a316690d42fdb1cfff424b22222bcc470d0e3e39f82732acdbad2ef42275c29d",
"outputIndex": 1,
"outputGlobalIndex": 47873947,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20dd4e4565c3783ad2078c446427280c1425871a64bf82dbad8145f6cd90633fd7",
"sigmaType": "Coll[SByte]",
"renderedValue": "dd4e4565c3783ad2078c446427280c1425871a64bf82dbad8145f6cd90633fd7"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "87fd145fe3162dc109f6e9c24c229261fa8680831b58014408eed868fb8608a6",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "28b4faa4c57dec96a9b24399bbb892e62d2579d4c9ba045bc8a1d306e8a316e3",
"outputTransactionId": "02c7e56c310d914988a3ced493fd355a099e76487b24788adbdba75480e5c0e2",
"outputIndex": 1,
"outputGlobalIndex": 47873952,
"outputCreatedAt": 1524962,
"outputSettledAt": 1524965,
"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": "0e20b6c0bd0e9062d08c20e727281e8920685f099126d8eca5a1874a45dba40d1eb3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6c0bd0e9062d08c20e727281e8920685f099126d8eca5a1874a45dba40d1eb3"
},
"R5": {
"serializedValue": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20d379acd7090f0c86595dc64c60b507246b090a52bf50df6fc35a5f66d70defa0",
"sigmaType": "Coll[SByte]",
"renderedValue": "d379acd7090f0c86595dc64c60b507246b090a52bf50df6fc35a5f66d70defa0"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "4f3660436ddbb39d470096a3102699cb75e034a96957694eb4d6f8f52cb9e756",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "f7972eb6e973f0a374e5b3c6195d8ce59d4cd1d919d89a91a7084ad4191a7e66",
"outputTransactionId": "2748c35c365c9c028523539862f5509b3ada1979675a2045668498fe316ddc56",
"outputIndex": 1,
"outputGlobalIndex": 47873963,
"outputCreatedAt": 1524963,
"outputSettledAt": 1524966,
"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": "0e20e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461",
"sigmaType": "Coll[SByte]",
"renderedValue": "e79a23561506d01a2d038b39c9eda0e782cccf9191a657f926ddfa53433bd461"
},
"R6": {
"serializedValue": "0e20a9307684090f308b1d2d8aa8485499321863474e3b18f576eb57842f4fce7fab",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9307684090f308b1d2d8aa8485499321863474e3b18f576eb57842f4fce7fab"
},
"R7": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
}
}
},
{
"boxId": "1418250d35bb978f94008541a5f2fd19d2f87f68df28b952d0254d17e5e334d3",
"value": 1996000000,
"index": 22,
"spendingProof": "cfde0bc4906c8351cd9676ce2af1e456a9bdb1af15e9039c15a1fe8ca0460e554a327590c7f26cb11a60776ac69ffd679c2f4681d34d296c",
"outputBlockId": "fabb9593c41697af17a9ad6fc719a983c1496b4adf18ce8f2327390376a318df",
"outputTransactionId": "b1209c5fcbcced900bd59a01c6806e6aecbd6f3c9eb995e84ddd43a427102edf",
"outputIndex": 4,
"outputGlobalIndex": 40776820,
"outputCreatedAt": 1285569,
"outputSettledAt": 1285573,
"ergoTree": "0008cd030eb0b7be440dc35a9e17a3594a42b18d632dffa61d545f90acfc402dc990cc50",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eb0b7b,5998bd,...)))}",
"address": "9gaGwDNTSDZQKffaxhVncHc8Y7fgTBugVbUjQ6KVip13kb7e5Vt",
"assets": [],
"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": "f9fa675bc4a582e69fbf1ab617989bdf2ede2f55b00dc08719de909bf11986ab",
"value": 2000000,
"index": 1,
"outputBlockId": "6215dc7bd610122e8072a662a21dcb2e84627ab2816a1310043d0fd3db104386",
"outputTransactionId": "d619a455efbbf7064691ea353990613eed9089d52794b4f4973ee99665c6b02f",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e07626974636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "626974636f696e"
},
"R5": {
"serializedValue": "0538",
"sigmaType": "SLong",
"renderedValue": "28"
}
}
}
],
"outputs": [
{
"boxId": "ae9b301b7d6157a1cbd635effc37277a9b246d0dcf2a94fcbd1bc8dc891b8eeb",
"transactionId": "0a28c791371ffd84188d390e2be59df461c99834a90bc892d3e44be7c74bacb7",
"blockId": "d048f9d3b969b1664f17c1889247c7c19f56544c5c16f1bd38d7795a22ecde67",
"value": 44000000,
"index": 0,
"globalIndex": 47874047,
"creationHeight": 1524969,
"settlementHeight": 1524971,
"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": 66000000,
"name": "rspv2BitcoinRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ae92c26441c333bc5bc0fb4dade32524323a2abcd74437bab22f7e9f017967a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "ae92c26441c333bc5bc0fb4dade32524323a2abcd74437bab22f7e9f017967a6"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[66346562303262343436323933643235356531373665313035663033643164623034383461396539393761663731346663616237356161363230383264623561,626974636f696e,6572676f,626f783a653337363865336163653263396137616535353134343331353735303433303138386636663866353166366338323565333165663162396162613136333831392e30,39664e43314a38586a5054414764524c7a65474166796947757933774e517a6d7761466b35654b78586e327141636e76437339,00000000016e3600,000000000001d4c0,00000000000000ae,627463,37613531393530653566353438353439656331616136336666646333383237393530356231316537653830336430316263663833343765303132336338386230,30303030303030303030303030303030303030303261633366653966636335323436373738393464303736316231643437336361663634363032613461663331,00000000000daec2]"
},
"R6": {
"serializedValue": "0e207599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f",
"sigmaType": "Coll[SByte]",
"renderedValue": "7599528e61ba2ac89c215ea5fb49336b5a6d07ed1857d446da28e3ae2570be4f"
},
"R7": {
"serializedValue": "042c",
"sigmaType": "SInt",
"renderedValue": "22"
}
},
"spentTransactionId": "ea5b475b6b9e2161f162fd798d13af0bae40a2808849fbe3fd0707c91d8ec46a",
"mainChain": true
},
{
"boxId": "03104dbcd7444eba3ef8a540195290f656cdee6f424899219b0cf181c68a3759",
"transactionId": "0a28c791371ffd84188d390e2be59df461c99834a90bc892d3e44be7c74bacb7",
"blockId": "d048f9d3b969b1664f17c1889247c7c19f56544c5c16f1bd38d7795a22ecde67",
"value": 1994000000,
"index": 1,
"globalIndex": 47874048,
"creationHeight": 1524969,
"settlementHeight": 1524971,
"ergoTree": "0008cd030eb0b7be440dc35a9e17a3594a42b18d632dffa61d545f90acfc402dc990cc50",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eb0b7b,5998bd,...)))}",
"address": "9gaGwDNTSDZQKffaxhVncHc8Y7fgTBugVbUjQ6KVip13kb7e5Vt",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "8a19b29a58aa2f736bb875383d5eabf2609e8ce49c8a6c7f40fdaa579368ac65",
"transactionId": "0a28c791371ffd84188d390e2be59df461c99834a90bc892d3e44be7c74bacb7",
"blockId": "d048f9d3b969b1664f17c1889247c7c19f56544c5c16f1bd38d7795a22ecde67",
"value": 2000000,
"index": 2,
"globalIndex": 47874049,
"creationHeight": 1524969,
"settlementHeight": 1524971,
"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": "7edef1364037b07c60f446f10349d08f2f19ba1caeb8292da7ad290fbb4276e2",
"mainChain": true
}
],
"size": 1929,
"isUnconfirmed": false
}