Transaction
ID: fba054d8d9...1e32
Inputs (54)
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:
0.0015 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 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:
11.36
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1035 ERG
Tokens:
156,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
14.05
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 512,736
Total coins transferred: 0.1075 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000644 ERG
Raw Transaction Data
{
"id": "fba054d8d9b2f90d16e6f789ed9dcbf07c1da8034c2a73d438f970b054ab1e32",
"blockId": "20578b15c08d09a4289881f729b6300ea714793791d90fe75f17423e8a415d31",
"inclusionHeight": 1246986,
"timestamp": 1713601005825,
"index": 40,
"globalIndex": 7051330,
"numConfirmations": 512736,
"inputs": [
{
"boxId": "e9f6d5c5aac812918158d7e4fa260fc89e71a50e280620120c424158d526405c",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "590775a49186684b7128df54be496c6b0f4d3844eaaa5f08c0f118cfd7e487be",
"outputTransactionId": "32246d8da240dfa327e4556b624b78569ea098b36e9a5a581a21d0fb0dcb9c28",
"outputIndex": 1,
"outputGlobalIndex": 39382046,
"outputCreatedAt": 1246967,
"outputSettledAt": 1246969,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202334418b99af8f9903660910eb4279a797fc0ebfd6b646c5796b5ad83ca7c44f",
"sigmaType": "Coll[SByte]",
"renderedValue": "2334418b99af8f9903660910eb4279a797fc0ebfd6b646c5796b5ad83ca7c44f"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20a8edf2f1ff7b9ce32c5b2f74c81c2d5b8f6b75128ae9ba84ba18e2efde3e6506",
"sigmaType": "Coll[SByte]",
"renderedValue": "a8edf2f1ff7b9ce32c5b2f74c81c2d5b8f6b75128ae9ba84ba18e2efde3e6506"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1e04beec79f23a4121392616af89eb2f59eb641ee07cc493a6edafccf0a859b8",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "cb865fb8f1e18d86dac7484fda98a281c6fe9abbe1c7027181c977db0b0ea1cd",
"outputTransactionId": "926dcf912c8153c59b83d084a24dcd1f73b25192dfd7b7682ce71b6d205cc250",
"outputIndex": 1,
"outputGlobalIndex": 39382087,
"outputCreatedAt": 1246967,
"outputSettledAt": 1246972,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2029421e4600f37df00bfb057ce5ad742a9d71f1c1eba2e9c2c4a0cbadc1837417",
"sigmaType": "Coll[SByte]",
"renderedValue": "29421e4600f37df00bfb057ce5ad742a9d71f1c1eba2e9c2c4a0cbadc1837417"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20b7f06237b847805c1969a8033242995da3b3718afc362f1698802d646a8b10b9",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7f06237b847805c1969a8033242995da3b3718afc362f1698802d646a8b10b9"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "5e7209f81251f366716b3039cf9fb9c64bb1e4d2a52fdf600af6b90698984bca",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "cb865fb8f1e18d86dac7484fda98a281c6fe9abbe1c7027181c977db0b0ea1cd",
"outputTransactionId": "956120f3ae69c9e587f0aa417dc415167425787fddd4eeb1b8f32420c89b263e",
"outputIndex": 1,
"outputGlobalIndex": 39382092,
"outputCreatedAt": 1246970,
"outputSettledAt": 1246972,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201ab6311c133d2b9a2f4cfd0b61db9b74abdebe8bd92cf3d18183febfc1aa8f02",
"sigmaType": "Coll[SByte]",
"renderedValue": "1ab6311c133d2b9a2f4cfd0b61db9b74abdebe8bd92cf3d18183febfc1aa8f02"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e209f730f86bd9b8a66c1f6c4f7489149ecd86c43e83b7ad23fd6e57e13392109ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "9f730f86bd9b8a66c1f6c4f7489149ecd86c43e83b7ad23fd6e57e13392109ae"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "9609308d9b07a96ad8475a584c505a9bcd77b0097e8265f2e385ee0286d68e30",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "f929beaca1782e2c68189687888978f4711116d0c37a7fd978bfc10bbcbdfd04",
"outputTransactionId": "615ad85cd2fec6554099f153e81204a2e4f2dc88e42f78868609afa385555236",
"outputIndex": 1,
"outputGlobalIndex": 39382119,
"outputCreatedAt": 1246972,
"outputSettledAt": 1246974,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201f5e0093911cdaa9258edb46ad972e5a91ed8addd75cfa1a2f51491c0ec5fcc3",
"sigmaType": "Coll[SByte]",
"renderedValue": "1f5e0093911cdaa9258edb46ad972e5a91ed8addd75cfa1a2f51491c0ec5fcc3"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e207951bcbedbd8c3a859836d67b379f99aacb39ff5847064a4ebb60b9134047362",
"sigmaType": "Coll[SByte]",
"renderedValue": "7951bcbedbd8c3a859836d67b379f99aacb39ff5847064a4ebb60b9134047362"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "177568c1deec8a21b8253725cd66f4351ee9d06ded21eac6b6049488279a57d3",
"value": 1500000,
"index": 4,
"spendingProof": null,
"outputBlockId": "f929beaca1782e2c68189687888978f4711116d0c37a7fd978bfc10bbcbdfd04",
"outputTransactionId": "94f197351eb64f5f700ab0b113c6b9eea6c46adc0e180dbc23bbe83f1f8c8340",
"outputIndex": 1,
"outputGlobalIndex": 39382124,
"outputCreatedAt": 1246972,
"outputSettledAt": 1246974,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204ee0ea8e491cee003b0106415d88dcca7ed0a303a0896eca3e2b4e6ddfcd3b62",
"sigmaType": "Coll[SByte]",
"renderedValue": "4ee0ea8e491cee003b0106415d88dcca7ed0a303a0896eca3e2b4e6ddfcd3b62"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20067ff4b165e8dc37853691610c90c988d84b85b2afbbbd662a2ac482f352a6e0",
"sigmaType": "Coll[SByte]",
"renderedValue": "067ff4b165e8dc37853691610c90c988d84b85b2afbbbd662a2ac482f352a6e0"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "a40e55b5e94197e6df0ff08ce12d39d6894648c97350330faab8155f8049da6f",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "058199dff6a69754095a781ab8fc8ebfab4c9c2e354b2cbaff1a1b68fac599cd",
"outputIndex": 1,
"outputGlobalIndex": 39382419,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20668d14cc2ddd6cde17e33b7305b9ca2ad2d1901b7bb8ca3797911dc5aa9e44f1",
"sigmaType": "Coll[SByte]",
"renderedValue": "668d14cc2ddd6cde17e33b7305b9ca2ad2d1901b7bb8ca3797911dc5aa9e44f1"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2046b2230996de164b0e6f59ca98df7ffdd9411aeca9aba90188245e73488cf35a",
"sigmaType": "Coll[SByte]",
"renderedValue": "46b2230996de164b0e6f59ca98df7ffdd9411aeca9aba90188245e73488cf35a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2f679e52b959cb3a839195224da2a89c531115db9b933bfb99217923e2ae16d0",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "0b96bf81991b46982a8c3212eddef89d11f335d9010bf9cb84b12f0894db4055",
"outputIndex": 1,
"outputGlobalIndex": 39382424,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fd80918bb386da1f3e8cf13178d6e80a28947f18d676bb703b1f3ab17715dc2b",
"sigmaType": "Coll[SByte]",
"renderedValue": "fd80918bb386da1f3e8cf13178d6e80a28947f18d676bb703b1f3ab17715dc2b"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20c22fff7de215d9091b0f94c786b33867ac4d59dc9896a30bfedf59a4dd87c672",
"sigmaType": "Coll[SByte]",
"renderedValue": "c22fff7de215d9091b0f94c786b33867ac4d59dc9896a30bfedf59a4dd87c672"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1b59591083b60eecfac37691717d7aec11ce2bf9b40d288453918620baa57477",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "0dbd47f4dfb8c580060f50cc83006058211fb50be58686a16ad67a8d039984d9",
"outputIndex": 1,
"outputGlobalIndex": 39382429,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f21fb1c26c9ba19f229c2ecaee107842b881175571d3e5d09f077dd448eec03a",
"sigmaType": "Coll[SByte]",
"renderedValue": "f21fb1c26c9ba19f229c2ecaee107842b881175571d3e5d09f077dd448eec03a"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e208c30e8ea6ef5cb21b82b16a4807efc15b2593aebcc025d78a4da17b692c25592",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c30e8ea6ef5cb21b82b16a4807efc15b2593aebcc025d78a4da17b692c25592"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ff40ddc6bf761bcf1c5fd4556fcf9557c5664ed2c66dafbed3f30ffcf66f84db",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "1b2130e6d17c39b8816addb245595e7346113d5a3f6aa50b623f7de99670d1a0",
"outputIndex": 1,
"outputGlobalIndex": 39382434,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20a62134bd53d446c0c289aecf2749f266b5b2db6d65c3ba27dc34b5dc9692ab8d",
"sigmaType": "Coll[SByte]",
"renderedValue": "a62134bd53d446c0c289aecf2749f266b5b2db6d65c3ba27dc34b5dc9692ab8d"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2008c258ad9c1212fe6753afa44ae259b22e6ed0b704e64130d15eb3da0a39f3f3",
"sigmaType": "Coll[SByte]",
"renderedValue": "08c258ad9c1212fe6753afa44ae259b22e6ed0b704e64130d15eb3da0a39f3f3"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "16f0a4a3cbcba3361d43db7df8ad1a1ae8eb0de29dd60eee166114b4c82d35a3",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "37d221ea88474cbca19f5faff14f0724b3e381749d87b62bd7800c9dd96cd6ad",
"outputIndex": 1,
"outputGlobalIndex": 39382439,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204345ccef6237ba582470546c3b4ad7d086aeec8937a0da227542667cfaf9cd30",
"sigmaType": "Coll[SByte]",
"renderedValue": "4345ccef6237ba582470546c3b4ad7d086aeec8937a0da227542667cfaf9cd30"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2036f58ec40298bdfa53948a9638a5ba46398999c207992c57b6db30a105a7ec27",
"sigmaType": "Coll[SByte]",
"renderedValue": "36f58ec40298bdfa53948a9638a5ba46398999c207992c57b6db30a105a7ec27"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "1c88b200e67d89b4ef933c7aadbc1426e9ae731314eb0b006c23c864cb3a4dde",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "39bef19e2a974b19548ba86021ab78f8ec6a7febdab294604f0b070e41102b25",
"outputIndex": 1,
"outputGlobalIndex": 39382444,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20afdf1813b7ade06cc3446ddf0f62b2f60bfda6f548f2d7f62363906a9bbead61",
"sigmaType": "Coll[SByte]",
"renderedValue": "afdf1813b7ade06cc3446ddf0f62b2f60bfda6f548f2d7f62363906a9bbead61"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20af298d43e561a9c54606198165deef19c86f36f80d15895ce17a307495b4de1d",
"sigmaType": "Coll[SByte]",
"renderedValue": "af298d43e561a9c54606198165deef19c86f36f80d15895ce17a307495b4de1d"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0512e58c149f68c570033d792474182735d581c9325f911bd1fe9326156680af",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "478013468f58b02ef764ce4b3bfca186d4762247a0f78db4e65270f010249461",
"outputIndex": 1,
"outputGlobalIndex": 39382449,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20676e2606758592a5d4bb61ffb0659babef6850219b6cdd42cd631d2c31bc3c7b",
"sigmaType": "Coll[SByte]",
"renderedValue": "676e2606758592a5d4bb61ffb0659babef6850219b6cdd42cd631d2c31bc3c7b"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e200fd9c1bfabec26ebd9a1e5c68ff7afd91d5ca02f294e6a6d591312428538e354",
"sigmaType": "Coll[SByte]",
"renderedValue": "0fd9c1bfabec26ebd9a1e5c68ff7afd91d5ca02f294e6a6d591312428538e354"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "3dc4c5e0fc48997492d66de10efa3b2c39b6edffa1a7a583680821581b392a1e",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "511bd379fbbfaac0b7fc5466ddef0d026c74369e79ec6ae7156564e602eb57bf",
"outputIndex": 1,
"outputGlobalIndex": 39382454,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20dda2944bbe4a94c1c42cf7a875cf16ae628900cd57c489d09c1cef8e8b0fd186",
"sigmaType": "Coll[SByte]",
"renderedValue": "dda2944bbe4a94c1c42cf7a875cf16ae628900cd57c489d09c1cef8e8b0fd186"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e201849ea33dd51a0ffdb3457ec3afd4488ae64da27d65ed43126153abfbffa5f9e",
"sigmaType": "Coll[SByte]",
"renderedValue": "1849ea33dd51a0ffdb3457ec3afd4488ae64da27d65ed43126153abfbffa5f9e"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "6f9572c01411d89ec2557b73827f37c11835cff814f8dcfcd3dc8950f2c82a0e",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "5e02a59fa21537f46165371734599bc7543a395a622276ee36dccfb9550ca0e6",
"outputIndex": 1,
"outputGlobalIndex": 39382459,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209646a8fce73640809babc7cfe05c3eb0ac55c276c70aa9c36aa88cb394d313e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "9646a8fce73640809babc7cfe05c3eb0ac55c276c70aa9c36aa88cb394d313e4"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20b00d8586e1be42fc4dc712e06e2fa4118d12d26a6e795b59e6e205d0fe8dad2e",
"sigmaType": "Coll[SByte]",
"renderedValue": "b00d8586e1be42fc4dc712e06e2fa4118d12d26a6e795b59e6e205d0fe8dad2e"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "224d64dbaa6f65f6d44ee6820522f4ab7790f43ce2c70dab1920fe18ae1e76d2",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "629792e1ead7f2bafa81dbd727c5f05c825dc2ede82bd816dff2513cd8ff7878",
"outputIndex": 1,
"outputGlobalIndex": 39382464,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20663bad1c61b82c7f35f57b6af88521b041d3afd803212ec379cb1c1d497b2c22",
"sigmaType": "Coll[SByte]",
"renderedValue": "663bad1c61b82c7f35f57b6af88521b041d3afd803212ec379cb1c1d497b2c22"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20a9a91ccc948cffbb665ca70f0c8bc0262fbb3d1fefae2be214993766096e4996",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a91ccc948cffbb665ca70f0c8bc0262fbb3d1fefae2be214993766096e4996"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "64c2a9a342ce1503c61e76aab2b8db337c0ffa1b7d62e84a45c87f98d03b45fe",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "795bbe5766d8e934b957736b98935268ca73603bb695c15fe6e3391630300551",
"outputIndex": 1,
"outputGlobalIndex": 39382469,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
"sigmaType": "Coll[SByte]",
"renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20bcb5fe209762fe47d9f80fe406c6e00e0ff0ef9c44d1cdff18bb596ee2003370",
"sigmaType": "Coll[SByte]",
"renderedValue": "bcb5fe209762fe47d9f80fe406c6e00e0ff0ef9c44d1cdff18bb596ee2003370"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b96abcf2c446f6eccf7640e6140fdfdd540b816db00df69447e68ce45b74461e",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "7e7844efc8cb22acb70d512ad1df8def981c794f0495ad393159218eda26cd21",
"outputIndex": 1,
"outputGlobalIndex": 39382474,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259",
"sigmaType": "Coll[SByte]",
"renderedValue": "2cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e206874b3f44e227ef3589d46b66e6a9e1ab3209b8458a4f3e309993d66e322c6e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "6874b3f44e227ef3589d46b66e6a9e1ab3209b8458a4f3e309993d66e322c6e1"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "eff5fc7e54728a035d32e5c7ae359583b0b14aecc5163a9d2803d66bbcad5f78",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "8bb79d52375d5017bed0004653eeac51fad5178c40a6134209955a348a74d41c",
"outputIndex": 1,
"outputGlobalIndex": 39382479,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e206a0e29bc0606dede278b2b71d298a3372995ca97d266cb0e61c50582c7e1c18d",
"sigmaType": "Coll[SByte]",
"renderedValue": "6a0e29bc0606dede278b2b71d298a3372995ca97d266cb0e61c50582c7e1c18d"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2097c02c61261381ee82f71e351a5324465762541bd7ab2a4e08672cd0d6f85662",
"sigmaType": "Coll[SByte]",
"renderedValue": "97c02c61261381ee82f71e351a5324465762541bd7ab2a4e08672cd0d6f85662"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ab498ad007cba396e5471f2f577c59385015b13fa37cdfe62251d0edbb3dcfce",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "8dd23a73c8242d4ba2277efbc7280f4f866a08dcb000e7efb254eda3a93d7c10",
"outputIndex": 1,
"outputGlobalIndex": 39382484,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202cfaaa2bafe830528d2b204c91b8bdff50999df9a9a0e2c27b2c42554a91cd2b",
"sigmaType": "Coll[SByte]",
"renderedValue": "2cfaaa2bafe830528d2b204c91b8bdff50999df9a9a0e2c27b2c42554a91cd2b"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2038be7ba5f1e15d2b954d8fa0c1c2f555a339ea2871239194a87c42ebda6ad9a5",
"sigmaType": "Coll[SByte]",
"renderedValue": "38be7ba5f1e15d2b954d8fa0c1c2f555a339ea2871239194a87c42ebda6ad9a5"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "d1a9f3beb2a4fb30824cd7b3f6b699fc2efcb45cf0c078113ec55470e9a3137e",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "90604d3c57d7694ba0ac776b06c9d182c3bb2fc004c9b5d4eccb81b430ac7426",
"outputIndex": 1,
"outputGlobalIndex": 39382489,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201ddc99601073b58e099ee8b99c53c961e5002458f074af83b5fd3ee50da68936",
"sigmaType": "Coll[SByte]",
"renderedValue": "1ddc99601073b58e099ee8b99c53c961e5002458f074af83b5fd3ee50da68936"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20ec6b8a0c4be2e37356e7dbc79ac4109f7c28767fc5dd35d207f744a64d19a5c5",
"sigmaType": "Coll[SByte]",
"renderedValue": "ec6b8a0c4be2e37356e7dbc79ac4109f7c28767fc5dd35d207f744a64d19a5c5"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "b2533d0c63a37eb121ab72852c84ebff5c2af524134280636f8ebaad6fbc78f3",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "947cb023fa416d98c444e6b9a5027ecca31c83e8bbd741b7d371ece1942fbac4",
"outputIndex": 1,
"outputGlobalIndex": 39382494,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209ca7b72de501ababe6cdf726447497fe63612dae437fc1e3e69aaa55ae8914c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "9ca7b72de501ababe6cdf726447497fe63612dae437fc1e3e69aaa55ae8914c2"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e200f2d5fae58a6b118583a08aa4efddc6775f003075234add3bc658fc8e582947a",
"sigmaType": "Coll[SByte]",
"renderedValue": "0f2d5fae58a6b118583a08aa4efddc6775f003075234add3bc658fc8e582947a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "fd6a54d739162199c8d5dfae63bc4caec3795985b00d56d0ec86e1828eb9bf5c",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "9bafb0fe7ecbc5f96266ed0977145ebdda91e7cbf298604da72e322bb7ec2ed4",
"outputIndex": 1,
"outputGlobalIndex": 39382499,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203a81010e909b67deff3852d9a5a5d9335937c1c56742b4fe35fd45cfc65d8b1a",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a81010e909b67deff3852d9a5a5d9335937c1c56742b4fe35fd45cfc65d8b1a"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2073390af9c0ea4217e4f6028d85dd27308b782bfbc96f1a28023dadf38a4b1fe4",
"sigmaType": "Coll[SByte]",
"renderedValue": "73390af9c0ea4217e4f6028d85dd27308b782bfbc96f1a28023dadf38a4b1fe4"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "8eef8aaef659bcbd1fd9483fa5be929178ec01574f0022863fa07622de4a2ced",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "9f2b86c4c581a0e6a363428f87cd36543a4320301744cfd5c3133e496992e9c4",
"outputIndex": 1,
"outputGlobalIndex": 39382504,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8",
"sigmaType": "Coll[SByte]",
"renderedValue": "b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2004140166d938f212c06f07fd9f5630c89c8070b41ec68812ba1554b4d4054545",
"sigmaType": "Coll[SByte]",
"renderedValue": "04140166d938f212c06f07fd9f5630c89c8070b41ec68812ba1554b4d4054545"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "4d1b0832830792c0bde38bf12b0a4e413aeb2da336b65f0574e9a5c2391c91fe",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "a370c0c217b8eb3dc78e6ef451a45b324cff3f99e69799a8dc88f29935cd23d7",
"outputIndex": 1,
"outputGlobalIndex": 39382509,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
"assets": [
{
"tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2024561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f",
"sigmaType": "Coll[SByte]",
"renderedValue": "24561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20198ed272fb3c2301d7323d784b018854ade52c644f021dd6c63bcb17200b1ab6",
"sigmaType": "Coll[SByte]",
"renderedValue": "198ed272fb3c2301d7323d784b018854ade52c644f021dd6c63bcb17200b1ab6"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "2f941e8d66197143f649a0f270cf80ad3415741cf23b02d7716896cc6e2357f9",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "a90bd16f049a8a60b611a99b8a5f3cc48f5d6bec432512f495b9810c8354df19",
"outputIndex": 1,
"outputGlobalIndex": 39382514,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e56343424508f8c22b80c388308a4e3000fbae8251a56b043c01267b3c31faf4",
"sigmaType": "Coll[SByte]",
"renderedValue": "e56343424508f8c22b80c388308a4e3000fbae8251a56b043c01267b3c31faf4"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2042e05084e1f487664c9e729a7369fa5699c254f7b4e1b30d4feaf42481b57337",
"sigmaType": "Coll[SByte]",
"renderedValue": "42e05084e1f487664c9e729a7369fa5699c254f7b4e1b30d4feaf42481b57337"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "071071882d54c4a94db827027d2256e3a0ecab5a48c097ac888f0865d177d831",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "b72dfb301d34c88539227ab2d6985b11aaf7f3634b7f81fc2296b6c91a6b630a",
"outputIndex": 1,
"outputGlobalIndex": 39382519,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cc2998771194a889caea1c2a0abcb38556fc559708f280a2c9e90b880608a3d6",
"sigmaType": "Coll[SByte]",
"renderedValue": "cc2998771194a889caea1c2a0abcb38556fc559708f280a2c9e90b880608a3d6"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20a80deacf6790df93741a2659a3f41462ba330ab70beba36ad64a7d53acc38037",
"sigmaType": "Coll[SByte]",
"renderedValue": "a80deacf6790df93741a2659a3f41462ba330ab70beba36ad64a7d53acc38037"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0d5216462324b25c372aeafa8bcb843bed958db4deac6c8d94325d6934d5a2a3",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "bc5ff47d725e06be3e6eb72abacfb6f9393a5e6687709ce64e97bac073ee1723",
"outputIndex": 1,
"outputGlobalIndex": 39382524,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20b6f24f92129c8523aae0fde768544657a13a368e921bacdb7b73311bd1321d73",
"sigmaType": "Coll[SByte]",
"renderedValue": "b6f24f92129c8523aae0fde768544657a13a368e921bacdb7b73311bd1321d73"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20888f059fe22bfb3b09337d19e9cb461196c4eaecb6e36b2fbb32b4dbc2477afd",
"sigmaType": "Coll[SByte]",
"renderedValue": "888f059fe22bfb3b09337d19e9cb461196c4eaecb6e36b2fbb32b4dbc2477afd"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0986e369b9cffbcafc6f04f6289cf31b77fadb255541e1ac5168aa520f9d09a6",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "ca7eea20dc435a9f24040b8b076f6d040a03a1e4683e9cbcd41a73596fb8c777",
"outputIndex": 1,
"outputGlobalIndex": 39382529,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2060b97e8766e5cd19936ba19225ec827d4af72962acf60596886dbec32c6760d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "60b97e8766e5cd19936ba19225ec827d4af72962acf60596886dbec32c6760d2"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2081140b7fd985ddcf5adc83a7225574bd421cb3ff865937f4fe0ab3c0b8fa88c4",
"sigmaType": "Coll[SByte]",
"renderedValue": "81140b7fd985ddcf5adc83a7225574bd421cb3ff865937f4fe0ab3c0b8fa88c4"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0b9bf111624eab416bf7dfee6d5dd4a84f50a80165c47cc6dc5541c68272ada7",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "cb7816f58648459e47120b4a8b883f653609547c31c62094e6f9e524da91d28c",
"outputIndex": 1,
"outputGlobalIndex": 39382534,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2073e5756d6e6c8cdd9c4be97070e0bf56a96dcb8cfd088cc484ef9748a6911b19",
"sigmaType": "Coll[SByte]",
"renderedValue": "73e5756d6e6c8cdd9c4be97070e0bf56a96dcb8cfd088cc484ef9748a6911b19"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20bf7324c016c9037d86a2484e2025f5edf9057d82de65f9f4e62a74e523715fd2",
"sigmaType": "Coll[SByte]",
"renderedValue": "bf7324c016c9037d86a2484e2025f5edf9057d82de65f9f4e62a74e523715fd2"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "82a5de3ad965d8aee37af8cf531cfe378daf2df67f21f52aea099ad4f3d9c4dd",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "d589a09188369536dd6321316353f3a4254c03948435a12d9948f2d8feba04b8",
"outputIndex": 1,
"outputGlobalIndex": 39382539,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2094cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae",
"sigmaType": "Coll[SByte]",
"renderedValue": "94cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20b7dd210dc9140cd7803284ebd711768c65b93874d1b0c5b83dafc5efac2c2bfd",
"sigmaType": "Coll[SByte]",
"renderedValue": "b7dd210dc9140cd7803284ebd711768c65b93874d1b0c5b83dafc5efac2c2bfd"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "453d9b25a2c132547a9a60aea5c6ba926e72c597f58b3b436c3da9d77bb2ea82",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "ea3b56841b901216d8390d391f9b6a670f1925aaa7ead7a0260129308f9e7e02",
"outputIndex": 1,
"outputGlobalIndex": 39382544,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2036205e72799aa21b41afc958d0c603457e2a0b176460a2f06fde55c5896cd7bf",
"sigmaType": "Coll[SByte]",
"renderedValue": "36205e72799aa21b41afc958d0c603457e2a0b176460a2f06fde55c5896cd7bf"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e208ab0458f56c8166ce04ea3ee872270e6a2a4798436a3a59784d077ab93646355",
"sigmaType": "Coll[SByte]",
"renderedValue": "8ab0458f56c8166ce04ea3ee872270e6a2a4798436a3a59784d077ab93646355"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "bfd28418039e4fb5ffbf28a04fc3f45875461a78404d27c6da546ec1b9264a4d",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "f342a6432018b8e178574b8eb7f9c419d17fdd8940c52a51a2b3b7023cd1c298",
"outputIndex": 1,
"outputGlobalIndex": 39382549,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20bd3bad6ce30002617e15c0d552c018816adecff18e0597fac962422190c7e6c4",
"sigmaType": "Coll[SByte]",
"renderedValue": "bd3bad6ce30002617e15c0d552c018816adecff18e0597fac962422190c7e6c4"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20488d32397af84491a9c68c34adc3af9056adfe4c50595d33c9ffd6db9ff3570b",
"sigmaType": "Coll[SByte]",
"renderedValue": "488d32397af84491a9c68c34adc3af9056adfe4c50595d33c9ffd6db9ff3570b"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e0bc664fb24466f54542731f3df6647714659bbda3a9a85a0bcb97859ad22568",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "f738ba5329e9b6a2bb2f189e2daf4b103821e353b4b6f4179a25934130ae9282",
"outputIndex": 1,
"outputGlobalIndex": 39382554,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208d249d5343ed0ad5f6a34c035f4cdc3e54b33ecb14ff36380f0a6cdf3a2eb302",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d249d5343ed0ad5f6a34c035f4cdc3e54b33ecb14ff36380f0a6cdf3a2eb302"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20f75dc50d288b3b91a642f6285398f10e4c69b020627a8bcdc88e1ccc299c5a3b",
"sigmaType": "Coll[SByte]",
"renderedValue": "f75dc50d288b3b91a642f6285398f10e4c69b020627a8bcdc88e1ccc299c5a3b"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "6b9c7659500fea4694bf792b52dc06196ea805ef434144bd78c3fd689340c438",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "2ef790243a023c629a24bd353c261fdb87dd7f66c82ca98147ed98de15607fc3",
"outputIndex": 1,
"outputGlobalIndex": 39382561,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202fc089936114823aafbfb605e317ae8aa01a6d67182910edd02fe97808afacd2",
"sigmaType": "Coll[SByte]",
"renderedValue": "2fc089936114823aafbfb605e317ae8aa01a6d67182910edd02fe97808afacd2"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20256b8dfb5bbfde8939881033ee08e62ee09b0782fb3e041006fca14247bdf2ee",
"sigmaType": "Coll[SByte]",
"renderedValue": "256b8dfb5bbfde8939881033ee08e62ee09b0782fb3e041006fca14247bdf2ee"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "c87c64b9ffc2f30147c2fbd38e81389591c6f458a7b0b0c9553524d4495d0154",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "a68f8c961157259f9222926bfe0e6237eb1bbee0d89c6af1592d0312d98b771f",
"outputIndex": 1,
"outputGlobalIndex": 39382566,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2066cf2d1589f772c8a83fac3cf1aed18cf4fa387eb74f49d74a5c6a6817c81cb3",
"sigmaType": "Coll[SByte]",
"renderedValue": "66cf2d1589f772c8a83fac3cf1aed18cf4fa387eb74f49d74a5c6a6817c81cb3"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e205da8ca47524767252f9e1962a20c6fa26e1a1a8b3cfed69c1165106bbace7c92",
"sigmaType": "Coll[SByte]",
"renderedValue": "5da8ca47524767252f9e1962a20c6fa26e1a1a8b3cfed69c1165106bbace7c92"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "03c679e61af3e9ca60af5a4d0c4590033da8ac126028577a6fb24c38e59ab22d",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "a877a36eda4efcb65bb63e93b8c42715ff894cf9e0a80a1c40266dee275d2ff0",
"outputIndex": 1,
"outputGlobalIndex": 39382571,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664",
"sigmaType": "Coll[SByte]",
"renderedValue": "0d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20c3816e86cabb49853f53dc4462704ae85f91ee0ed31f5c3272dd3bd5d661e139",
"sigmaType": "Coll[SByte]",
"renderedValue": "c3816e86cabb49853f53dc4462704ae85f91ee0ed31f5c3272dd3bd5d661e139"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "45fe3a7919c137e693e1a67cd2c7c8e39dbfa828b69e582df714e2180b89b590",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "d7775f497fd2edfde4856610b80d5e5e2d52a91f8415ea2a757561268e16abd0",
"outputTransactionId": "bd3e44eaa5c86d71474026a3303215a4a25988cfa8f7ae40a8fc0740a72bdc80",
"outputIndex": 1,
"outputGlobalIndex": 39382576,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208c2a6503b6480ef984b67f085cfdc87b7d29003726ce9e4e726e3f1cf290c054",
"sigmaType": "Coll[SByte]",
"renderedValue": "8c2a6503b6480ef984b67f085cfdc87b7d29003726ce9e4e726e3f1cf290c054"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e209f4f1353bf5bb9119c1d68ed897b83c3e71a77e0fda8cb22313fa16e1b204e8a",
"sigmaType": "Coll[SByte]",
"renderedValue": "9f4f1353bf5bb9119c1d68ed897b83c3e71a77e0fda8cb22313fa16e1b204e8a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "a3d79daa41a40e47c150fd0f880d4da739a83a19491feaf70a68485ac3b720ab",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "1a8814fec71fd7d81bd3028075472651925f57f9c3a8225932c5434c090a8650",
"outputIndex": 1,
"outputGlobalIndex": 39382615,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2031dc30f0a547a719f65be0d6fd8cbc025d4a913bff66791f609413c1bd0b94c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "31dc30f0a547a719f65be0d6fd8cbc025d4a913bff66791f609413c1bd0b94c9"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20910cd9d49ed94cf4c522cf7631720959079f6e6a2ceded9fff2b24f344c5ebdf",
"sigmaType": "Coll[SByte]",
"renderedValue": "910cd9d49ed94cf4c522cf7631720959079f6e6a2ceded9fff2b24f344c5ebdf"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "43dbeb52a9cf37b8735dcbfaf105b7e71faf3cfa7b291e20c1cbb093809f9be3",
"value": 2000000,
"index": 38,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "4ddca7266dc79d20bd5afd9c9da82af77f91ae74629462f7e9876bf907a961b8",
"outputIndex": 1,
"outputGlobalIndex": 39382620,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2025c03fd768ea0b1957d6c90c706b5dcaa9f2ed6646a34666482e3b9c3a4a4b6d",
"sigmaType": "Coll[SByte]",
"renderedValue": "25c03fd768ea0b1957d6c90c706b5dcaa9f2ed6646a34666482e3b9c3a4a4b6d"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20e8a86cefa396172cf777e742e8908af2d2a7c5f76095e5a7c48ef47f1ff4a92a",
"sigmaType": "Coll[SByte]",
"renderedValue": "e8a86cefa396172cf777e742e8908af2d2a7c5f76095e5a7c48ef47f1ff4a92a"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "ecf1936a45b239c1fa9a19755cf15d55a8bc7d0247264c1d1e3693bd09399ada",
"value": 2000000,
"index": 39,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "56055208ecd695e5ea1421167ccd1849d2408a0a8cbfa28c716728b7b7ea5a0c",
"outputIndex": 1,
"outputGlobalIndex": 39382625,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20f827876bff7e26ffc4c01e5e535502ba9a8196fbc43c79d63043759d96b7ffca",
"sigmaType": "Coll[SByte]",
"renderedValue": "f827876bff7e26ffc4c01e5e535502ba9a8196fbc43c79d63043759d96b7ffca"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2015872c55bd35e8d435c16a10d1d01f28f0c7a584d4b0e452dbf94ae4b67eb788",
"sigmaType": "Coll[SByte]",
"renderedValue": "15872c55bd35e8d435c16a10d1d01f28f0c7a584d4b0e452dbf94ae4b67eb788"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "4a9b382951fd25f2a5f87afe4d0bba8511591b4968a4610aa944b416b86a8afe",
"value": 2000000,
"index": 40,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "5cb704a768f6d4aa9437cec91aca8183153038432929c1a0ccba871c183e78c3",
"outputIndex": 1,
"outputGlobalIndex": 39382630,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962",
"sigmaType": "Coll[SByte]",
"renderedValue": "c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e202e1317a9b5761836f585c75b0527c2c535720f735c7052a6103cc1a561091776",
"sigmaType": "Coll[SByte]",
"renderedValue": "2e1317a9b5761836f585c75b0527c2c535720f735c7052a6103cc1a561091776"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "910c83dd3ad29f8b8feb6ade4fc2ec1071cc87eb175f44e17df25e9e8d731ca0",
"value": 2000000,
"index": 41,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "74773ec28d753a1c3854abce5f62b82643315c47addef97d1e019a40329b8d19",
"outputIndex": 1,
"outputGlobalIndex": 39382635,
"outputCreatedAt": 1246982,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20440654f998889f4f854436e412197805359db1ad1183b5cb6fc83d032bab7f08",
"sigmaType": "Coll[SByte]",
"renderedValue": "440654f998889f4f854436e412197805359db1ad1183b5cb6fc83d032bab7f08"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "f0ed4fa2f88271a38c6f49ad98a10ff4078947ffa28bfcc252f35213e2538097",
"value": 2000000,
"index": 42,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "7e0c4afe175ab77add9851e7171963c02c0934e1e9779ec069bfb63dd4ea70bb",
"outputIndex": 1,
"outputGlobalIndex": 39382640,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e201682e2e0612780cd9d401b0de8ab76ceee4a07e58ac6ff350c14fb13ce9d7905",
"sigmaType": "Coll[SByte]",
"renderedValue": "1682e2e0612780cd9d401b0de8ab76ceee4a07e58ac6ff350c14fb13ce9d7905"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20021bbb4d908ed1ce5e87b1295db1d45ed16e12214653b2b4c92dd3a636c86c6b",
"sigmaType": "Coll[SByte]",
"renderedValue": "021bbb4d908ed1ce5e87b1295db1d45ed16e12214653b2b4c92dd3a636c86c6b"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "d78211a5016415f934dd8f690d002b00b3de4f96a9981f41410ff415a9ed7ac7",
"value": 2000000,
"index": 43,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "8570e824d7700688ea2201243cff515790d789d991f6bac6289cc3988dd809ca",
"outputIndex": 1,
"outputGlobalIndex": 39382645,
"outputCreatedAt": 1246982,
"outputSettledAt": 1246984,
"ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202c8067c785e1cf655336267573e8e5071143bc401fed2bbf5919c8fd56f9aca9",
"sigmaType": "Coll[SByte]",
"renderedValue": "2c8067c785e1cf655336267573e8e5071143bc401fed2bbf5919c8fd56f9aca9"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e201ff9fe41554619a1d9ab7141176b0989f2d534df188803b1a0e75fbbfcc88cdd",
"sigmaType": "Coll[SByte]",
"renderedValue": "1ff9fe41554619a1d9ab7141176b0989f2d534df188803b1a0e75fbbfcc88cdd"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "e1c785e8f3cddca0180a319e25e236191d5f4e440cbf54a8d737def5a84616b2",
"value": 2000000,
"index": 44,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "9bc89a665471c2ab42735081ad448d0c6411ec7760cf332a0f35f30bb4229dda",
"outputIndex": 1,
"outputGlobalIndex": 39382650,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20952afd41e3512d6e11ce5b647285aafc120ac3cffe697cc578b59846ee7606a4",
"sigmaType": "Coll[SByte]",
"renderedValue": "952afd41e3512d6e11ce5b647285aafc120ac3cffe697cc578b59846ee7606a4"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20ee461d4515f9cf89c41e29d028ccd94796060e8880a38f48351c8ec8c596d8e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "ee461d4515f9cf89c41e29d028ccd94796060e8880a38f48351c8ec8c596d8e1"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "0d09d2f0b85c1df2649b990014975c326e7d92924a46a6e9c9643014d9051450",
"value": 2000000,
"index": 45,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "a3474b68ab0d188ae293c7b956ea50d2cfc76a03bb4f0b1ed834d69109896105",
"outputIndex": 1,
"outputGlobalIndex": 39382655,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2051c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4",
"sigmaType": "Coll[SByte]",
"renderedValue": "51c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e204b84af4c9461a3c86625d353144f3891e6250d07f18ea95003e2be2475668f0f",
"sigmaType": "Coll[SByte]",
"renderedValue": "4b84af4c9461a3c86625d353144f3891e6250d07f18ea95003e2be2475668f0f"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "816b6512ec3f0fc780fc4676f82d008d2c250a72ed2c88050be0a1ba5a603889",
"value": 2000000,
"index": 46,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "ae43d48e0cc3c4a39cc520fe53c202905a068a29e76abf2d8bb373133f2e8121",
"outputIndex": 1,
"outputGlobalIndex": 39382660,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e201cb3ca7e2056ee74341383ae5f86124d1c40ad2e4eabd4efbe75a877467bfed4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1cb3ca7e2056ee74341383ae5f86124d1c40ad2e4eabd4efbe75a877467bfed4"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "973b9e3622d1ba89cf3e128723d63c90d20700b29e292cedf9ef610c20a100a3",
"value": 2000000,
"index": 47,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "c39423caaa90d7b92f8af25282aa80f9bf75b4acb85695fd68ec308f4cef3da8",
"outputIndex": 1,
"outputGlobalIndex": 39382665,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71",
"sigmaType": "Coll[SByte]",
"renderedValue": "0c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20baad7f91d18653b2208c81f50c122d76109e9d778117093093ac8fa59e29e730",
"sigmaType": "Coll[SByte]",
"renderedValue": "baad7f91d18653b2208c81f50c122d76109e9d778117093093ac8fa59e29e730"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "f92b008e1baa02d64db72427c6b2e92505ab2592c095c9de613d842b0e23871c",
"value": 2000000,
"index": 48,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "ce336fd8f1cb182fd424b571ccb1d84c7e0b75d8d0b34877bf6ba9d4a7216539",
"outputIndex": 1,
"outputGlobalIndex": 39382670,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e65bec11df9bd84bb660a436e9eff7e12bb6a53d25548e4747c54d04a2bcd539",
"sigmaType": "Coll[SByte]",
"renderedValue": "e65bec11df9bd84bb660a436e9eff7e12bb6a53d25548e4747c54d04a2bcd539"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20b02abfa10916fce94545700cb2c57b1c14cf46173dc3da3b2d47828635c5aecf",
"sigmaType": "Coll[SByte]",
"renderedValue": "b02abfa10916fce94545700cb2c57b1c14cf46173dc3da3b2d47828635c5aecf"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "c0207f2a94678afea0d0701676de6e0f66aa4e8d5d001816c1600554cf78a638",
"value": 2000000,
"index": 49,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "14b853b7f5c92bbbda10e6e9cc9764f6560bf6f3b055b7da3eaa171f653a450a",
"outputIndex": 1,
"outputGlobalIndex": 39382678,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe",
"sigmaType": "Coll[SByte]",
"renderedValue": "fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20bdb97c850e79948318b32278c9704d4e5d814145d936eb82d1f2ec3e49ea40d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "bdb97c850e79948318b32278c9704d4e5d814145d936eb82d1f2ec3e49ea40d2"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "9f5056501ae14b12886bedbd393ae57b26c240e59ae4d552e215ac6e6d00fbec",
"value": 2000000,
"index": 50,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "cbd7904ff8775e9def259b40fd4d109557a853ce1683340886244a168046594f",
"outputIndex": 1,
"outputGlobalIndex": 39382683,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e207bc47d6130328253250d90408dc22f3ad88671688b988aff92def2d9a72d405e",
"sigmaType": "Coll[SByte]",
"renderedValue": "7bc47d6130328253250d90408dc22f3ad88671688b988aff92def2d9a72d405e"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e20e7f84cf7b4a10b3ace5abe2019609df460a02eb5cea44d75349fcaa0e8f4409e",
"sigmaType": "Coll[SByte]",
"renderedValue": "e7f84cf7b4a10b3ace5abe2019609df460a02eb5cea44d75349fcaa0e8f4409e"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "374008eb148778f41cbdb64af860b9c4088ab8a8eae0685bf0d02736bf9b487f",
"value": 2000000,
"index": 51,
"spendingProof": null,
"outputBlockId": "3fb5ac82d0e743157fe9ed4909d17cf6376c9b29bfcbd803b41eb9d971779b16",
"outputTransactionId": "c6c82b212273dadd41c0c2434837b4c11f42f6b3413cfda9ac39a7b207329a9e",
"outputIndex": 1,
"outputGlobalIndex": 39382706,
"outputCreatedAt": 1246981,
"outputSettledAt": 1246984,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\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(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 3000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d3ea6b02c843238314df5456fdc8dfb63ff9f83cb524df92341875e1f8310b0c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d3ea6b02c843238314df5456fdc8dfb63ff9f83cb524df92341875e1f8310b0c"
},
"R5": {
"serializedValue": "0e2062cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f",
"sigmaType": "Coll[SByte]",
"renderedValue": "62cd3c0be131135f4163c16c85325254c6c11345f1b0820957535f155b04644f"
},
"R6": {
"serializedValue": "0e2032193e181e76447271338e5d830970bb296f32e2bedc02852f7b282f4895e0c9",
"sigmaType": "Coll[SByte]",
"renderedValue": "32193e181e76447271338e5d830970bb296f32e2bedc02852f7b282f4895e0c9"
},
"R7": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
}
}
},
{
"boxId": "79f09dbf99e541a7f13de4992bb4374b7ba199acd06fa3bf32539aa91905200b",
"value": 2000000,
"index": 52,
"spendingProof": "0aa2b24f48b2fc118c1bf7ba955a2b9bf6acdb67c3d610472692c67cb64739a1efc7ae92c8c94f9dfff6b7b30a5fbf395026533af20c7c91",
"outputBlockId": "dbca1085041410553370197ba3e442e0701518bb7115cb4d57fd3bb027eed804",
"outputTransactionId": "67faa4ab83b561f28a9ec941dfaa50f3857954e752fdc5995c7f9e4a31165c62",
"outputIndex": 3,
"outputGlobalIndex": 38105546,
"outputCreatedAt": 1224565,
"outputSettledAt": 1224567,
"ergoTree": "0008cd022a0e5a0a21aa77000fe3f0281bda2dba5a590ae3b606925fa293a08835ec8d84",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2a0e5a,62fe94,...)))}",
"address": "9eqanERQG1GaKZXJAccgjWAyY8nfsbfSNqavsY4tB9sNnr2bLbp",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 11364,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "3ab0d282ad5819c34239f284ed42d15fbe585db579bb4b6f79447ae7741c7fda",
"value": 2000000,
"index": 53,
"spendingProof": "32ddd457007ec4688edbd5beb7e77b70a4f8e76cff41496964e3d65102309d0fff319e338abbf4ecc5a10afed6eef8ad31b55775d5869a65",
"outputBlockId": "3b5db553a11eb5cf2a4af910c173878fa44e0b5b79d7a05b9c52c090744a9681",
"outputTransactionId": "4da66035c0b150d5c8b88c37f43dda95ba178ec106aa074aedbec3a4ccb409a0",
"outputIndex": 1,
"outputGlobalIndex": 38106044,
"outputCreatedAt": 1224574,
"outputSettledAt": 1224576,
"ergoTree": "0008cd022a0e5a0a21aa77000fe3f0281bda2dba5a590ae3b606925fa293a08835ec8d84",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2a0e5a,62fe94,...)))}",
"address": "9eqanERQG1GaKZXJAccgjWAyY8nfsbfSNqavsY4tB9sNnr2bLbp",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 2687,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "5f2dcf975ff3e35d29c89b9d05764b74d68f5e700ae165a0ea427df7e7275e13",
"value": 1100000,
"index": 0,
"outputBlockId": "9cd9da9a7bebc91af8af522b342397f6f0cb88719817b60aa0cb53a9758daccf",
"outputTransactionId": "a0029995fad90f6b31ac46d0ad4e823a8349c16a413f885c829c74a840107a3b",
"outputIndex": 3,
"ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
}
}
},
{
"boxId": "cb33ad78caa1ce2e9e15792613505f04fe6db833bba625d64b82b2869263d2dc",
"value": 2000000,
"index": 1,
"outputBlockId": "4462c16011341bf35e767b3fa4a18e36c376a0411c0b57530af3d26785061ce7",
"outputTransactionId": "187b497933db319d46fea5b6ebbab4920ca6f9bc79572a5ffa6bd0f4b744a069",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0763617264616e6f",
"sigmaType": "Coll[SByte]",
"renderedValue": "63617264616e6f"
},
"R5": {
"serializedValue": "059201",
"sigmaType": "SLong",
"renderedValue": "73"
}
}
}
],
"outputs": [
{
"boxId": "73c79a438bff7a1b87641312f2be1038079849668eddc4e58d64b0712b1d5661",
"transactionId": "fba054d8d9b2f90d16e6f789ed9dcbf07c1da8034c2a73d438f970b054ab1e32",
"blockId": "20578b15c08d09a4289881f729b6300ea714793791d90fe75f17423e8a415d31",
"value": 103500000,
"index": 0,
"globalIndex": 39382883,
"creationHeight": 1246984,
"settlementHeight": 1246986,
"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(-100,-40,-42,8,-67,7,83,-112,71,-26,-32,-54,31,-35,-93,-73,65,-83,76,86,-26,119,89,-19,-69,113,-76,14,86,-43,-62,-5)\n10: 1\n11: 0\n12: Coll(11,58,-99,21,-105,-66,-75,-57,-86,-62,-54,-90,83,-28,-96,63,76,-36,59,117,-72,-53,-13,9,-127,37,-99,-30,-4,115,113,104)\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": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
"index": 0,
"amount": 156000000,
"name": "rspv2CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e208b1f5f10fe86fc01840353b53c550d89aa1393044464982f47500599cd8afc86",
"sigmaType": "Coll[SByte]",
"renderedValue": "8b1f5f10fe86fc01840353b53c550d89aa1393044464982f47500599cd8afc86"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[38633766396564376665366166363064393163323034313430303564663039336133303961326431306165303334623163393738313235636333386435653664,63617264616e6f,6572676f,61646472317138347a6367666e613676386876617164373364347377617a796e6b33656a7a7332336861786c3875736e3068777867796a6e647a7a706330387a3536346a3373687937766c646e71686d757064737864396a3764336168767563736a306630346b,39684b4556364753364c7a32745471755643475637674e474e41567362746e5273786951657079394577654c3367784774356b,0000002031ba26d9,0000000174876e80,000000000c5691c0,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,657267,36356537643764306465353366643836623266663462653162383564333536633933396539613137393630383061656132326535653834373563373865333235,00000000009bcb82]"
},
"R6": {
"serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
},
"R7": {
"serializedValue": "0468",
"sigmaType": "SInt",
"renderedValue": "52"
}
},
"spentTransactionId": "0511f00c72b5ead6c92c4d103b2ec73c0e8b738283288756e606976de4226889",
"mainChain": true
},
{
"boxId": "f1c3268aa2c71e90475e95dcaa443eda578858124c18321dce416335840bb56c",
"transactionId": "fba054d8d9b2f90d16e6f789ed9dcbf07c1da8034c2a73d438f970b054ab1e32",
"blockId": "20578b15c08d09a4289881f729b6300ea714793791d90fe75f17423e8a415d31",
"value": 2000000,
"index": 1,
"globalIndex": 39382884,
"creationHeight": 1246984,
"settlementHeight": 1246986,
"ergoTree": "0008cd022a0e5a0a21aa77000fe3f0281bda2dba5a590ae3b606925fa293a08835ec8d84",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2a0e5a,62fe94,...)))}",
"address": "9eqanERQG1GaKZXJAccgjWAyY8nfsbfSNqavsY4tB9sNnr2bLbp",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 14051,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7726c5cd17950f4a5d4de0205497934ee1360178b0cbdfff61a9d57679f41f1b",
"mainChain": true
},
{
"boxId": "c71366535d9e2e0f624dcdec44585ea7b2048a6329655c1acd0f4166686ee841",
"transactionId": "fba054d8d9b2f90d16e6f789ed9dcbf07c1da8034c2a73d438f970b054ab1e32",
"blockId": "20578b15c08d09a4289881f729b6300ea714793791d90fe75f17423e8a415d31",
"value": 2000000,
"index": 2,
"globalIndex": 39382885,
"creationHeight": 1246984,
"settlementHeight": 1246986,
"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": "9c4ba99c5512bb4e087601f61a0f0f1d6e96db310d9eb53483709d08cc637848",
"mainChain": true
}
],
"size": 3108,
"isUnconfirmed": false
}