Transaction
ID: 74b65e0c72...b877
Inputs (65)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 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:
0.0011 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:
17.90
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0037 ERG
Tokens:
10.10
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1222 ERG
Tokens:
186,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0056 ERG
Tokens:
29.42
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Transaction Details
Confirmations: 566,278
Total coins transferred: 0.1299 ERG
Fees: 0.0021 ERG
Fees per byte: 0.000000384 ERG
Raw Transaction Data
{
"id": "74b65e0c72dd6d1913f638795ae77f124e0c05df00b98d6b1077930ed017b877",
"blockId": "e466c46657e7b8f9f391a583931eb5ae8dda40e740077c46038528baf72b013d",
"inclusionHeight": 1203645,
"timestamp": 1708356700719,
"index": 10,
"globalIndex": 6655900,
"numConfirmations": 566278,
"inputs": [
{
"boxId": "450e18391943a51c75500c63c76a9fabdfcc088a584394f3dd8a7156148052b1",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ed12f935c086d29c4c5e4812736c4c55372915698d018572150d9a5298fe8de8",
"outputTransactionId": "259872d6fcfab34a2960a36ee5d9ac277e392387e3a35802e25001e5a582b31d",
"outputIndex": 1,
"outputGlobalIndex": 37028085,
"outputCreatedAt": 1203631,
"outputSettledAt": 1203633,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20a438afc4f73ee909a78c131e818f1aaf23d90762ae792c2d036960e1a7f90a71",
"sigmaType": "Coll[SByte]",
"renderedValue": "a438afc4f73ee909a78c131e818f1aaf23d90762ae792c2d036960e1a7f90a71"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "85b6001b08a40d3f3f78f10d7144a25f85025c6097d48bfdec2553d9144103ac",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "ed12f935c086d29c4c5e4812736c4c55372915698d018572150d9a5298fe8de8",
"outputTransactionId": "5ab3b867ca6e1501c337c3e21db068c47a46ba2026556c65464bc78df33d02af",
"outputIndex": 1,
"outputGlobalIndex": 37028090,
"outputCreatedAt": 1203631,
"outputSettledAt": 1203633,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2001bf1362b16b3428c22687452599a8b4d3bc39a728d435f213467c2bd4d5af1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "01bf1362b16b3428c22687452599a8b4d3bc39a728d435f213467c2bd4d5af1e"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "c0c79b22f3c1aba3e540121f516fea1e7799a77536021ce9f947a2b54d71ddab",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "7631e05c7304902c707538a94ee22b33472bc2809263a91745675a3cd5bbf083",
"outputTransactionId": "ac680c90cf75f99af4156454a069394788c49c29cdb5be0851a3cc5f64aa4fa2",
"outputIndex": 1,
"outputGlobalIndex": 37028188,
"outputCreatedAt": 1203634,
"outputSettledAt": 1203636,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012095a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2016c3d67dd8347bd54a0566617bc8c4439b11421d4fee3af363b85c3f1c05271f",
"sigmaType": "Coll[SByte]",
"renderedValue": "16c3d67dd8347bd54a0566617bc8c4439b11421d4fee3af363b85c3f1c05271f"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "133e97e379b0f775199512d6d7b6b3a0c8b4e2b1435867b9bde5b0f1fbe912c4",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "f86398ccc5fdf4558f5007e27cd18f695ea8c96cee00de029ec55765c63613a8",
"outputTransactionId": "487bedea83d897302ae2684d778e1ecc95855241eb072d4c02b9d7ef4323b034",
"outputIndex": 1,
"outputGlobalIndex": 37028220,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203639,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20662cb96bd7c414f3e4fd36af3801e3fdb75e29aba31605ba4c28dae08ca338c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "662cb96bd7c414f3e4fd36af3801e3fdb75e29aba31605ba4c28dae08ca338c7"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "29e7f0eeffef79e6087bcf7815b7dd4360834f0859d7d425dfd99e582b1ec497",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "f86398ccc5fdf4558f5007e27cd18f695ea8c96cee00de029ec55765c63613a8",
"outputTransactionId": "529f6771a5e871d851c056ec2ea45c9d0be31d534f1f351225544e6a56e3263b",
"outputIndex": 1,
"outputGlobalIndex": 37028225,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203639,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01206e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20e65392df3b26c5452881f9886bb0af252ef52654e3b0f77962b8a73349ed29bf",
"sigmaType": "Coll[SByte]",
"renderedValue": "e65392df3b26c5452881f9886bb0af252ef52654e3b0f77962b8a73349ed29bf"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "06836ef6a6747170289f2225097ef016604673ab1abbb24daa59871d3a8e950c",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "cccdc41b21f3d4f4ca515b0b5380df46248ed99c13f157d1ddca9074a09d2a21",
"outputIndex": 1,
"outputGlobalIndex": 37028259,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120babcc1824934ce9442539dd144ee4ab912deeef275fbe944170e746358ddc217",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[babcc1824934ce9442539dd144ee4ab912deeef275fbe944170e746358ddc217]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20c375545c3ec315e77fa358697fefc592ff77903a332daa8b3427abdbbf567cd8",
"sigmaType": "Coll[SByte]",
"renderedValue": "c375545c3ec315e77fa358697fefc592ff77903a332daa8b3427abdbbf567cd8"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "a890bf88522b6ebf1025fae089e1b33e7f6cd158e5357da50bb69e504a73c0eb",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "17b08800c9f836bc9c780e221a51ad2205f955f990f9f306cd30d20f4c9b3db0",
"outputIndex": 1,
"outputGlobalIndex": 37028264,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20dc3fc637efc7338d528c82cb40df379843b7533d7a0d2e067d282d806d8ca2e1",
"sigmaType": "Coll[SByte]",
"renderedValue": "dc3fc637efc7338d528c82cb40df379843b7533d7a0d2e067d282d806d8ca2e1"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "e0d42d5d2ad19b5e3d12c5a0fcf01d932b9d04b6806391504612f907f200b9be",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "46a9b35791a0c8dccc72d9d06e8089dee4f466470855ad232e6fa822003be0c0",
"outputIndex": 1,
"outputGlobalIndex": 37028269,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203640,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012072ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20be04ffdd0beac639296e64e098557c92b9ffd57585c5d2836f0baab01422ed1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "be04ffdd0beac639296e64e098557c92b9ffd57585c5d2836f0baab01422ed1e"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "5641efb5adec125041bad952e5df1bcc92f2ea83c7581c4c2bb368e10214941c",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "4cdc0aaefa0a64f054760090e2cebdf028794d4f701ec7cae23f95f220ee37e9",
"outputIndex": 1,
"outputGlobalIndex": 37028274,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e203a904eb93171f571b6269c080a77ffbc15160e7fb9f5df37e435185513d83153",
"sigmaType": "Coll[SByte]",
"renderedValue": "3a904eb93171f571b6269c080a77ffbc15160e7fb9f5df37e435185513d83153"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "6265b902f71ca1f52c94d7b1fef81ee8ff4fa351ce95377272e1d5d82108d27f",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "520d6e0e32d29bd52e0ceaaf99322004a9326c414bb9f3f27aaa4fc3866106d5",
"outputIndex": 1,
"outputGlobalIndex": 37028279,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e205567077d7439f6a437819772588930e7b28eeca1c0519bd09d1b2ad60d80fb9c",
"sigmaType": "Coll[SByte]",
"renderedValue": "5567077d7439f6a437819772588930e7b28eeca1c0519bd09d1b2ad60d80fb9c"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "4b8149300be816d710297abd452babb13df1b4e7037b64ca08d2b7e084c6ce5c",
"value": 2000000,
"index": 10,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "54910067528d933fe1a976827a03f07c3c3d51def47605dc260244841e054dad",
"outputIndex": 1,
"outputGlobalIndex": 37028284,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120bcce9ba79046d9aabe441e7ae15992225a89827dda7cb08b9d38eeac0dadbd13",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[bcce9ba79046d9aabe441e7ae15992225a89827dda7cb08b9d38eeac0dadbd13]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e208b37951dd415359fb637045c5177a837b5a0655ffb85b3654753e3b7b5404e03",
"sigmaType": "Coll[SByte]",
"renderedValue": "8b37951dd415359fb637045c5177a837b5a0655ffb85b3654753e3b7b5404e03"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "18b0080ac49a77e5d91755ae42ba45b304d8dd8d686b2fc140efcce1546e9453",
"value": 2000000,
"index": 11,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "6106776bc26d0999a90ab7c87a6b403a17dcb1d3e5b297412e4e2d4b13f51732",
"outputIndex": 1,
"outputGlobalIndex": 37028289,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012022b3082d151886bfdfca5d8317beb08e310cfe2d7795e3cfd59bfc1dca5dfddd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[22b3082d151886bfdfca5d8317beb08e310cfe2d7795e3cfd59bfc1dca5dfddd]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20d1b101e4c604690188fabd81c09371b3913cd23a1227a7efd8214a000528be97",
"sigmaType": "Coll[SByte]",
"renderedValue": "d1b101e4c604690188fabd81c09371b3913cd23a1227a7efd8214a000528be97"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "ea6c74361969882bd7434a17f4291a3c9ed45180c1d8a02775832f0d2ad472eb",
"value": 2000000,
"index": 12,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "66883767b54b75635c09c38a74e193f11c6881668cffcc9eed1972d2ec01da60",
"outputIndex": 1,
"outputGlobalIndex": 37028294,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20971453eae9d99e77a434a01988054a2d8e9e95bf96adef05a342890cd7c1a174",
"sigmaType": "Coll[SByte]",
"renderedValue": "971453eae9d99e77a434a01988054a2d8e9e95bf96adef05a342890cd7c1a174"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "737815826380ea57c011de5d6b870f32b4914c92b99a8ad0a0a3899205bb05d2",
"value": 2000000,
"index": 13,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "8345e9905478c760ff4fe92a5bf830082d9a5294ce37ece9841b8bfa125ea63c",
"outputIndex": 1,
"outputGlobalIndex": 37028299,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e205e2edee35bccc74d6319a09c2aa1ace3dae9310fa35883452cd03005d7abc3a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "5e2edee35bccc74d6319a09c2aa1ace3dae9310fa35883452cd03005d7abc3a6"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "30f089ddcf3369715e69d0445c4e842e19a2f0d48321383f7bcb8afbf1fa36e3",
"value": 2000000,
"index": 14,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "8df53467a331d6048ae41234f06c42ffb0987b70f8d415e8e95e7db218a38fa4",
"outputIndex": 1,
"outputGlobalIndex": 37028304,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e206fcc79d43bd017873051527d36e9fbb3408b8b597a71ef25e8cdea95e7ab162e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6fcc79d43bd017873051527d36e9fbb3408b8b597a71ef25e8cdea95e7ab162e"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "6210140246c6893c647b78d54e17a4c8a379eb9b8311530ae5b639d0ae1548e9",
"value": 2000000,
"index": 15,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "b486cc99ce5a0d171ca694ebd746346f93f44987a437b8c4d8141b19193f1cf1",
"outputIndex": 1,
"outputGlobalIndex": 37028309,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e208249195ab05669172addb09e2fbda540489fc733b196c38ce0c656017f13ddee",
"sigmaType": "Coll[SByte]",
"renderedValue": "8249195ab05669172addb09e2fbda540489fc733b196c38ce0c656017f13ddee"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "d9f6f1e00b627aa933ae021eb72639d77c02a3bffce203cca002007fdc032b8e",
"value": 2000000,
"index": 16,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "b502cc7d531662c90af4c812be1abe8447d7b08287370922703e3e44ae8ed508",
"outputIndex": 1,
"outputGlobalIndex": 37028314,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01204c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2049ffe13a1bd60fb6d235988330132321826d9a7c58c174cbe651a890fa83030f",
"sigmaType": "Coll[SByte]",
"renderedValue": "49ffe13a1bd60fb6d235988330132321826d9a7c58c174cbe651a890fa83030f"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "3c69c499a4011de848dbc62b553d723d499131fd00aed98f191ab8c2f8137aa8",
"value": 2000000,
"index": 17,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "bbfe68a6b3213abb888a54016fa7386d6222c025b9f59adc3264439780292ca9",
"outputIndex": 1,
"outputGlobalIndex": 37028319,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2061c6a087a04be9a85e032f6fef3b2f385b736b770412776c0c015e36e64b856a",
"sigmaType": "Coll[SByte]",
"renderedValue": "61c6a087a04be9a85e032f6fef3b2f385b736b770412776c0c015e36e64b856a"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "800c3631e043033ea79cd6ef2ba6eb2425b9e2f2ec927a323ec6b2d9c38737e4",
"value": 2000000,
"index": 18,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "c1887a6ea7d85c9ba9f10aecf6cf86e797f63f9d0e7de461156d0e3b7ba017d0",
"outputIndex": 1,
"outputGlobalIndex": 37028324,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2066ded862c074ee732dd9ac6563f518d35fcd05033f313c6d699a38b489067a71",
"sigmaType": "Coll[SByte]",
"renderedValue": "66ded862c074ee732dd9ac6563f518d35fcd05033f313c6d699a38b489067a71"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "cfb89ecce483c351876e25ee301b2b92d455063a0f67d93d68e050593c5c03cd",
"value": 2000000,
"index": 19,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "c3a63ce02228c0f4d3660832659b9d87ffedac05839e0b85ad11923f82794833",
"outputIndex": 1,
"outputGlobalIndex": 37028329,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e200409c21bbbd632d71d4b72eb282b39f1f39011c0171023c4d2aee624e7826fee",
"sigmaType": "Coll[SByte]",
"renderedValue": "0409c21bbbd632d71d4b72eb282b39f1f39011c0171023c4d2aee624e7826fee"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "93a13ee3a83e4b2698a606db4fbbceb3f5266902cb99a7fd83766326867f78ca",
"value": 2000000,
"index": 20,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "d981f74946c22f770408889a9e886c3bb0cadaca632db10db87c075fe7e1190c",
"outputIndex": 1,
"outputGlobalIndex": 37028334,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20c65f1cd08b3a17217e794be05aa17a9fe8eb94441a5e4410408a5920938debc2",
"sigmaType": "Coll[SByte]",
"renderedValue": "c65f1cd08b3a17217e794be05aa17a9fe8eb94441a5e4410408a5920938debc2"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "e1ebd600dd0a28af5fca8b109d635ff69b1c468395cd00577f0acc5f7c2f492e",
"value": 2000000,
"index": 21,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "dc94ed8ce5705e7bf3e8f88b2cb709ee89e5bbcffe1d2dd79b7639fcb23e7732",
"outputIndex": 1,
"outputGlobalIndex": 37028339,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012058f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e201aa580056b3b8948a9f92a41f01f7c854aa8559f7ffa975801cfd0eda79a18a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "1aa580056b3b8948a9f92a41f01f7c854aa8559f7ffa975801cfd0eda79a18a6"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "c117ed7ae5d5a084c85702c06552fc6e115ddaea4beea44fe8dec95ff384149c",
"value": 2000000,
"index": 22,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "e973967bce8ecda1d10e6571e481f0f75ce285750e82e4bdd77a80adc4d8f5c9",
"outputIndex": 1,
"outputGlobalIndex": 37028344,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20f0ec6c64b207645524980c4229b0e6f8ec28f6088b0c5c6c110f0a0aa2253c83",
"sigmaType": "Coll[SByte]",
"renderedValue": "f0ec6c64b207645524980c4229b0e6f8ec28f6088b0c5c6c110f0a0aa2253c83"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "4b10608a249b1fc0e311d2f61b9247a50c164d8c51e0c8e36d65dc530f055700",
"value": 2000000,
"index": 23,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "ff604cfd24439b2b4f2ef3a461806d873bbbd3141427b4aa407988608dab6c96",
"outputIndex": 1,
"outputGlobalIndex": 37028349,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012099b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[99b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2074f855a7e35f7453b479f94e7147cce6f9448dd78b7144144629b1660032891e",
"sigmaType": "Coll[SByte]",
"renderedValue": "74f855a7e35f7453b479f94e7147cce6f9448dd78b7144144629b1660032891e"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "06b0751a7bddba1ec37ded87d36901a7dce32fe1644ab215dff1e9557a8d8704",
"value": 2000000,
"index": 24,
"spendingProof": null,
"outputBlockId": "dd0d84b4dd8cfd72838b5ccc1d5057ffceeddc37f4cd9f446df0eca73e480075",
"outputTransactionId": "5a0d8d0664e80d70ee59383c46d797c42f68cd574cd438b380ff8f92d4674250",
"outputIndex": 1,
"outputGlobalIndex": 37028354,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203640,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20c40b9f8f940d623edf0d68f26389a52c65e77c0e4e56e084ea94afeb926e74e7",
"sigmaType": "Coll[SByte]",
"renderedValue": "c40b9f8f940d623edf0d68f26389a52c65e77c0e4e56e084ea94afeb926e74e7"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "3e289d63219a3375f5e13d36b9c7d68f4c07a80e21d751c934fff6337326bf16",
"value": 2000000,
"index": 25,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "0126c1a37b15f1ebb4f3df716e5b8645e506f2dccd0861cec0fd806118e3e506",
"outputIndex": 1,
"outputGlobalIndex": 37028375,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e209b48642fce99db579592fe67c7437d260710237cb60a17f9bf2d6b952f9f4798",
"sigmaType": "Coll[SByte]",
"renderedValue": "9b48642fce99db579592fe67c7437d260710237cb60a17f9bf2d6b952f9f4798"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "66f8472ef2399cab010c8b078fcfb482947590a0fea0ff40ead53c74f1725dc9",
"value": 2000000,
"index": 26,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "01afd7baa9b3158f713a74676d622886a5b5ff4a40d36cd6dc823fa463f8eb1f",
"outputIndex": 1,
"outputGlobalIndex": 37028380,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012068961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e200788247e2a17c276816e695dbeedc5fad5cd7efa60d4be8067694ea83ba873ec",
"sigmaType": "Coll[SByte]",
"renderedValue": "0788247e2a17c276816e695dbeedc5fad5cd7efa60d4be8067694ea83ba873ec"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "deb62d37181e3c3af08cd50bc26c640e016feaab5648a6f1b9de416a0a83cdc1",
"value": 2000000,
"index": 27,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "040448766d83b00da5d38df4f0df6ec712d6cb796cc1017c46cb4f6e0c6daef0",
"outputIndex": 1,
"outputGlobalIndex": 37028385,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20e653ddd41d1698d4359ba3bcccbf75ef6afc54160fdf81ec58c48b74b1258ba8",
"sigmaType": "Coll[SByte]",
"renderedValue": "e653ddd41d1698d4359ba3bcccbf75ef6afc54160fdf81ec58c48b74b1258ba8"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "e519f15dc9bf92bc6f9db88af50db4c0115e93ae53db02553ecb741a6ce3dbd1",
"value": 2000000,
"index": 28,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "0ad45fd5807be2c9f6d0d13230d2db71845a468aa231a4df3303fd8557134c19",
"outputIndex": 1,
"outputGlobalIndex": 37028390,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c287c63eb262a3147939739ca832fb89845b43b4b139c359862da6705486e324",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c287c63eb262a3147939739ca832fb89845b43b4b139c359862da6705486e324]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2048976837eab9cc8af62fe30e3634ad32d61a9efe961420ae2d6fba55ff37b6b6",
"sigmaType": "Coll[SByte]",
"renderedValue": "48976837eab9cc8af62fe30e3634ad32d61a9efe961420ae2d6fba55ff37b6b6"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "6df11dc225aad3f447adc6a8f3b7cc7b5fe1025db9f1c3407dbd2de3fa5a4036",
"value": 2000000,
"index": 29,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "195aa706e8c1b88fa4648076eab673ae0edcaaed4c710f8f05084b740944d235",
"outputIndex": 1,
"outputGlobalIndex": 37028395,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012041c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e209c7b81f4bccf8bb79d5fa5c44cac9ac6b95b544d5c8f5a2d2a77b8ac0d0c78cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "9c7b81f4bccf8bb79d5fa5c44cac9ac6b95b544d5c8f5a2d2a77b8ac0d0c78cb"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "4ab016d470b871286c616dac009ff069cf497801dec1a74b68c6e9a90e5173be",
"value": 2000000,
"index": 30,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "1c13aa9d500a5a999d8deb3f4b589d2a7d16280e1a9ad69b0c4aa255f2d84367",
"outputIndex": 1,
"outputGlobalIndex": 37028400,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012045aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20f0c638c656f4f71f1b9e4a405c64407ceaa54bc4dc40f87854bfde85c4db6ee1",
"sigmaType": "Coll[SByte]",
"renderedValue": "f0c638c656f4f71f1b9e4a405c64407ceaa54bc4dc40f87854bfde85c4db6ee1"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "591f3d23a63141f2e08fc904cc6fc1492c1c9dc14f0070cf0a86c941f83ba57a",
"value": 2000000,
"index": 31,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "2994dcaaeac64365cac371c8e2365fd60e2a8e9944518338a8ade17fd2cf3cc7",
"outputIndex": 1,
"outputGlobalIndex": 37028405,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012096e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[96e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20903b573580ceb6f472f85c7ce75919f1684693931e8a92aec8f7af0b51856fe8",
"sigmaType": "Coll[SByte]",
"renderedValue": "903b573580ceb6f472f85c7ce75919f1684693931e8a92aec8f7af0b51856fe8"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "656905a42ae09497f8148a2975a0f554f9fab57c26fa556264086712d66f0ce3",
"value": 2000000,
"index": 32,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "2c272ed1afc85af758686f4245febd858a97cde4feeaec64d450c285e09e89fa",
"outputIndex": 1,
"outputGlobalIndex": 37028410,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20faafd0d7136fbbffba4aa26b4561666c85e49e3675aa9958386fdab6a08a666a",
"sigmaType": "Coll[SByte]",
"renderedValue": "faafd0d7136fbbffba4aa26b4561666c85e49e3675aa9958386fdab6a08a666a"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "4fd7b4c58f5857e5ada010c05d96234fea3610b47979dc2f9f72a35ee2ab9800",
"value": 2000000,
"index": 33,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "3a8770cbd4af9fe5b8c41f3712fa895f322c404ba88f511f9ed2cef2b7befa46",
"outputIndex": 1,
"outputGlobalIndex": 37028415,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e207394043c7f6f6940ee707fc3b768c4c3d3024b3c3c4f489055380652bea844f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "7394043c7f6f6940ee707fc3b768c4c3d3024b3c3c4f489055380652bea844f9"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "de859f9870ddba3246ab10f3aee8344e5442a35be639adf8ab8003774e09adda",
"value": 2000000,
"index": 34,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "3c768a79fbd5952d4336a3ab260375dba6e8b54c8a59f0fbc1db4ed19b7c42e9",
"outputIndex": 1,
"outputGlobalIndex": 37028420,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012051937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20432f3eca360705a8af2ca0514416a310ae4250e982075729b9bd42f223971ad3",
"sigmaType": "Coll[SByte]",
"renderedValue": "432f3eca360705a8af2ca0514416a310ae4250e982075729b9bd42f223971ad3"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "1434b530c0a4559f0d5695abf1bbf9c95cf6fad31aa7900b9095749aad23b547",
"value": 2000000,
"index": 35,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "4047879b0ce118635c689f9246afa8d3fda21bcb1339603aa1ed26b8c0715d99",
"outputIndex": 1,
"outputGlobalIndex": 37028425,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012032a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e204aa3a8b24da30ac23c46af5fa010c01ced8e218c1b7c307e2330eb8eaf5db191",
"sigmaType": "Coll[SByte]",
"renderedValue": "4aa3a8b24da30ac23c46af5fa010c01ced8e218c1b7c307e2330eb8eaf5db191"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "46f39bb73a943693c679f7ca929e7e6ff7da814ecd8810d64acec49c337be823",
"value": 2000000,
"index": 36,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "4366c0f1d2b6e940d45c410c34754c8183878cbff0a19019c6756ffe5124842c",
"outputIndex": 1,
"outputGlobalIndex": 37028430,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012082ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20419f974b78317bed15b12dc8e2b9c0485792e3d04ae7b81c44d9477007a2d7ae",
"sigmaType": "Coll[SByte]",
"renderedValue": "419f974b78317bed15b12dc8e2b9c0485792e3d04ae7b81c44d9477007a2d7ae"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "2686e47c2a1ba47a23dc86f73e30df1bf76a5cc148eef3f042d760c709375280",
"value": 2000000,
"index": 37,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "53e66ccc09957b91cff78f805a251ce70b2648cf077c79c1a084c2a646947633",
"outputIndex": 1,
"outputGlobalIndex": 37028435,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012070c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20d567e46860f10245f8bb0d82191c877c60b5b87090d89f8aa9981df29c3a092c",
"sigmaType": "Coll[SByte]",
"renderedValue": "d567e46860f10245f8bb0d82191c877c60b5b87090d89f8aa9981df29c3a092c"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "bc2f4b5925d84284e65cf318020a75dce15e0d171ed33906f5d979b921b09c03",
"value": 2000000,
"index": 38,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "5ab39e39edda2c753353ea9e4210cfcb4b02bfd8f4394d19562e683b646a9ab5",
"outputIndex": 1,
"outputGlobalIndex": 37028440,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012020c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20cae682a551333e54b359a12658abc5ea1ee1d27e64f50de04ef3b4e6755761b8",
"sigmaType": "Coll[SByte]",
"renderedValue": "cae682a551333e54b359a12658abc5ea1ee1d27e64f50de04ef3b4e6755761b8"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "9a456a22a490f824a92a8f243abcd1501b4d5af7348d6ac8862d61e8e31effda",
"value": 2000000,
"index": 39,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "730b4ac70d36acd79bd37cdba1a646a4100040ddf8fd2e280c4f8850d3724302",
"outputIndex": 1,
"outputGlobalIndex": 37028445,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20985dfc4b89593976c266c2cfa99badcc7400313b4f09a6b217318a84e2739011",
"sigmaType": "Coll[SByte]",
"renderedValue": "985dfc4b89593976c266c2cfa99badcc7400313b4f09a6b217318a84e2739011"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "156d7646ffed4bf3bf9fed2ed6a814494a8ed59b8fa2b46409b1ed340edb505e",
"value": 2000000,
"index": 40,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "78a4ca05ccdc3cba55a04bb6da352a43f9f84463bc9522fbe3fd2026769fa0aa",
"outputIndex": 1,
"outputGlobalIndex": 37028450,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012023e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2069e020494df60bce73625fbdff9a2521269268b0ee1d630968f11775d95e2ec0",
"sigmaType": "Coll[SByte]",
"renderedValue": "69e020494df60bce73625fbdff9a2521269268b0ee1d630968f11775d95e2ec0"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "37a21a72b8a2ba920f42976fa5820b9039636f71273658064cc6a6d1ac5513d4",
"value": 2000000,
"index": 41,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "7dad005afb88921f1994eaca81a898c3d6d82a0e2d5651d4d8bf546b36c44758",
"outputIndex": 1,
"outputGlobalIndex": 37028455,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012061c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2008d17ef42b2f9d67473922a2cb693926355ddbb5b4e89928e58420580d252da2",
"sigmaType": "Coll[SByte]",
"renderedValue": "08d17ef42b2f9d67473922a2cb693926355ddbb5b4e89928e58420580d252da2"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "6ab35470b03ac96be01c4ca7169a54570f68ebc067c35919d31b4136e5b11a78",
"value": 2000000,
"index": 42,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "82e2cb455cd833fcd983e5386ec29fdc850017b5f8f5c329bbfb568fbf7d15a4",
"outputIndex": 1,
"outputGlobalIndex": 37028460,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20104a0ba2b0e2a37be08aa07a94d779e1bb6e14fe9512e007b957efc4943d8fee",
"sigmaType": "Coll[SByte]",
"renderedValue": "104a0ba2b0e2a37be08aa07a94d779e1bb6e14fe9512e007b957efc4943d8fee"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "e0e884bfbd7b6192c032c85db0d2892696c19c0e0e2ff5fed636b53aee93b570",
"value": 2000000,
"index": 43,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "8e27d4af082bb7a54392760f17b324455162aeb0efb43b05ae6f7e5cb38ad128",
"outputIndex": 1,
"outputGlobalIndex": 37028465,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20b91c7df27573f2fdebf7d50f5dcd41156259ff2a1bfc4bbd0c7e56d39b4a3b57",
"sigmaType": "Coll[SByte]",
"renderedValue": "b91c7df27573f2fdebf7d50f5dcd41156259ff2a1bfc4bbd0c7e56d39b4a3b57"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "74f03949d74762e7afc2dcb01b99b85f3d704781e5d92bbf1534b33a63118521",
"value": 2000000,
"index": 44,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "92aef8814927d75705fc8fa27c5f62650dc3ce9da09b98dd935816aa364903fa",
"outputIndex": 1,
"outputGlobalIndex": 37028470,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01206ba3b5a45dd3ea28e3258709a122ed145f90c2bcf46abdcbbb099ecd6243bdde",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6ba3b5a45dd3ea28e3258709a122ed145f90c2bcf46abdcbbb099ecd6243bdde]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e204bccb065e7fa383625fd9713aaf6bfaa16f19208053cb7d75a48bce80c167a97",
"sigmaType": "Coll[SByte]",
"renderedValue": "4bccb065e7fa383625fd9713aaf6bfaa16f19208053cb7d75a48bce80c167a97"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "56269ec6526c7a6b60620f5dba3dfec550055788ce725e4021767a08e0ad9c85",
"value": 2000000,
"index": 45,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "9d7824427df9c2f58d435f08850c8527e5dafb84e6d752be54a8e52a2249040c",
"outputIndex": 1,
"outputGlobalIndex": 37028475,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e203241c116a01ccae65d066e477d16b1e9db72a67f574f32d20f59ce60be54e20b",
"sigmaType": "Coll[SByte]",
"renderedValue": "3241c116a01ccae65d066e477d16b1e9db72a67f574f32d20f59ce60be54e20b"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "b9a92eaeeaf32c19c07ba7a38a27c5cbde3b1c784bfd525a84c253c3e71c2eac",
"value": 2000000,
"index": 46,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "9f7e8eeb4cc3fedbbbfa757da22b16f24313d38e004fa15802b996f14c1a94f9",
"outputIndex": 1,
"outputGlobalIndex": 37028480,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2031d7cac8a46cd61162f0e90f58d8662c180b1ffc8b7473a07da39df4587df068",
"sigmaType": "Coll[SByte]",
"renderedValue": "31d7cac8a46cd61162f0e90f58d8662c180b1ffc8b7473a07da39df4587df068"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "cfb104559394c3b23b3da1d672f424be3f9bda2b746a09ac8d97f0746ca6cb57",
"value": 2000000,
"index": 47,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "9f84e934e0ab16dd816841bd151226b09e9ee3e7f2e18d9171fd6897efa174d5",
"outputIndex": 1,
"outputGlobalIndex": 37028485,
"outputCreatedAt": 1203637,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20370556a589d8e70b2c5e7608651cad1282dcf4c44988a94e6fd1e5b428ba60a1",
"sigmaType": "Coll[SByte]",
"renderedValue": "370556a589d8e70b2c5e7608651cad1282dcf4c44988a94e6fd1e5b428ba60a1"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "1f7c850fec414eb9e913dcf59e03d21490a9f51b96049f2eda4c25f39eb8d002",
"value": 1100000,
"index": 48,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "a0012619bc39cd383be4ee5129a65f3c349708228cf3a916dd4d1ff46420f87e",
"outputIndex": 1,
"outputGlobalIndex": 37028490,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e209a85ea22bb05b875a1da17481bb5cca76e4aaf0e0b0f3107267b796040b490eb",
"sigmaType": "Coll[SByte]",
"renderedValue": "9a85ea22bb05b875a1da17481bb5cca76e4aaf0e0b0f3107267b796040b490eb"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "d0642d48a317733dff08df7c07e9909ca318865a2f123fffe12596f9a133107c",
"value": 2000000,
"index": 49,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "b4135f1dd7a1c504be08c9a8386950443bff95bc0bd98fbc97f0bbd58c14489e",
"outputIndex": 1,
"outputGlobalIndex": 37028495,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2030c65a92702f3a023c8721cd788fda7dcadcdf4852c5d3fd01874b564bbd4ce8",
"sigmaType": "Coll[SByte]",
"renderedValue": "30c65a92702f3a023c8721cd788fda7dcadcdf4852c5d3fd01874b564bbd4ce8"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "afcdddd1d008b3da0a8fd9aba79c6ff237e0435ad227451aa010106f9670fa4b",
"value": 2000000,
"index": 50,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "b6ece660dc09d5ba70f46190c12b658e542259968317e0783e037a4734679c95",
"outputIndex": 1,
"outputGlobalIndex": 37028500,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2065e7865bd80bc692dd08d398b5a9d5112ff09328ca127ba48baeea914514c23e",
"sigmaType": "Coll[SByte]",
"renderedValue": "65e7865bd80bc692dd08d398b5a9d5112ff09328ca127ba48baeea914514c23e"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "3adc274dbfefade63150693e97672e68e3ad4eb6e53c8e5056853ddf8367537e",
"value": 2000000,
"index": 51,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "bf4975be849be3393c7f2a67a2eba384db684e195dbaf9028440be7d84945a3e",
"outputIndex": 1,
"outputGlobalIndex": 37028505,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2013e4642f18f7de96503d57ffa6d86751acf237c2aceffe9e217ac32f75b7d096",
"sigmaType": "Coll[SByte]",
"renderedValue": "13e4642f18f7de96503d57ffa6d86751acf237c2aceffe9e217ac32f75b7d096"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "fc14eab930a975b502f43892ce9dea7593fd9e2819d39ac74d47e1697f2df2b7",
"value": 2000000,
"index": 52,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "c57035c973582fd7980543e1bfe0ead237363d0f1e080f5c773996e2c41a07ef",
"outputIndex": 1,
"outputGlobalIndex": 37028510,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20319da1f79b64c50c21d2089c8c5c7939eeb4d5519ed9dbdfcdde2baf944438e3",
"sigmaType": "Coll[SByte]",
"renderedValue": "319da1f79b64c50c21d2089c8c5c7939eeb4d5519ed9dbdfcdde2baf944438e3"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "0f03c50e6596e8b97b2dc30713727c657f6f24a592bd566b184c9dca954f8310",
"value": 2000000,
"index": 53,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "c9232dc3cce544c17a6539f944728b3b7bb0535187f5804e779ad1a2a7ef7048",
"outputIndex": 1,
"outputGlobalIndex": 37028515,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e203d00f57c9e5fa071afebc377fcb01e4b078e246616e5ee4cd0d8c6487a32ccba",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d00f57c9e5fa071afebc377fcb01e4b078e246616e5ee4cd0d8c6487a32ccba"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "9fae45a3bc5099d8304c909b5ef61508b76b6bae5db7c74acdbcd65b523b7085",
"value": 2000000,
"index": 54,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "ca0e18493ea19fb8fd460e0d69a109b4acf4488fe63f7572345bb16ae6f4ae0c",
"outputIndex": 1,
"outputGlobalIndex": 37028520,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20c55d715d9126743c0b5753ed14dfd807b8f0b7d81bffed3d63141ac4b993bd2c",
"sigmaType": "Coll[SByte]",
"renderedValue": "c55d715d9126743c0b5753ed14dfd807b8f0b7d81bffed3d63141ac4b993bd2c"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "ddb93e636a2e5058aa1b9ed40cf19714e70165e5931a8e70c2215399daadf451",
"value": 2000000,
"index": 55,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "cbf6c25dbf5e9415c7fd4d5dadc8e6107831fb20ed9d50b295343b479c7910fa",
"outputIndex": 1,
"outputGlobalIndex": 37028525,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2063272ea0ff3ded6fdf58013f0b3182cce22e1397a50aab43cc10f1645b8411cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "63272ea0ff3ded6fdf58013f0b3182cce22e1397a50aab43cc10f1645b8411cc"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "2fde2fcb689e9c5e0bf01bf6d82bbd9b00c8e8fb82450deff2c79db3e96fd780",
"value": 2000000,
"index": 56,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "db746bdd89b851e6210fabc22658697516372fbc9813afcfbe50c1fd2a27274b",
"outputIndex": 1,
"outputGlobalIndex": 37028530,
"outputCreatedAt": 1203639,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e208788d38bdc394395108f7dedd6cfb54bdced0a58a50a04092c115a48280dad6e",
"sigmaType": "Coll[SByte]",
"renderedValue": "8788d38bdc394395108f7dedd6cfb54bdced0a58a50a04092c115a48280dad6e"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "9abff8cf3558b200bbc8758118b4ec5f3a23cbc25fc9b31654e45d330b6565d4",
"value": 2000000,
"index": 57,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "dd878646b58fa3489ca823b278ceb40ac0c304b7b26abd215807d3edba61d234",
"outputIndex": 1,
"outputGlobalIndex": 37028535,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20e240be1c252c2d0c5aa2f3f46265cb921d1720ff253a269d97e4b6c017e6d068",
"sigmaType": "Coll[SByte]",
"renderedValue": "e240be1c252c2d0c5aa2f3f46265cb921d1720ff253a269d97e4b6c017e6d068"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "7dfa3e3ee9c39c8f0c17c9dae57dea5649bbda4743ad53c06f5ad8ad34ee7215",
"value": 2000000,
"index": 58,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "dfaf2ef748ffe1c0a821b9beebf644f8b2d0bc487d68c2253a318cb538637ec1",
"outputIndex": 1,
"outputGlobalIndex": 37028540,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e206bfc19b8f07a7656c096419a88183e031f5bdfa34a806fb35bd0f3da1c14cc0c",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bfc19b8f07a7656c096419a88183e031f5bdfa34a806fb35bd0f3da1c14cc0c"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "cd661934bbfd186c9cac89a95ded5d9d341c45c1d9de07c2ffc25edd923397ca",
"value": 2000000,
"index": 59,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "f2347016fe101e3eedde67975cef452b6882616ac9027fa5da5b889a9354f5f3",
"outputIndex": 1,
"outputGlobalIndex": 37028545,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20168b44eda139bcfb7bd2d773fbd921e28da2bc75906dc2daa9544fedc1e294e0",
"sigmaType": "Coll[SByte]",
"renderedValue": "168b44eda139bcfb7bd2d773fbd921e28da2bc75906dc2daa9544fedc1e294e0"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "239a1bbc71515ccabb772a0b4e188af1cc07e7b2dc287f88a4a52a381e91e0bd",
"value": 2000000,
"index": 60,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "f8806240291ca27f1d3b6176a18457742bb08dff1b75fdcfb8d2f775eb7bedf6",
"outputIndex": 1,
"outputGlobalIndex": 37028550,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e2042bd828fefdab16eb413b4ad025326653f952c08190c49bea8a1de47cd225879",
"sigmaType": "Coll[SByte]",
"renderedValue": "42bd828fefdab16eb413b4ad025326653f952c08190c49bea8a1de47cd225879"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "56f97ab7be58ab9fd0fffb0ec000b7c320a6991efb69d6c49f775043cac0b58f",
"value": 2000000,
"index": 61,
"spendingProof": null,
"outputBlockId": "eaf8e4758f67407d4299401d000a43f0b080c6d7aaca52fffc6e3f4819de7f58",
"outputTransactionId": "cb3cec91156e339a2e6cda9002904f103b05c39ac959b3c9cfffc82b1e7169b7",
"outputIndex": 1,
"outputGlobalIndex": 37028555,
"outputCreatedAt": 1203638,
"outputSettledAt": 1203641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 3000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f]"
},
"R5": {
"serializedValue": "1a01200086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0086eb9cd978e9fef20771583db888759674ca033d636d093054717e7d85e5d4]"
},
"R6": {
"serializedValue": "0e20ee26e0be4e1480acd5bbb6efd78ac057898504403cadb3e240560bc6dfd031df",
"sigmaType": "Coll[SByte]",
"renderedValue": "ee26e0be4e1480acd5bbb6efd78ac057898504403cadb3e240560bc6dfd031df"
},
"R7": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
}
},
{
"boxId": "0c29374e880688ff3c899ce5226c2cd474801c4b571254e18010df9a468a8bdc",
"value": 2000000,
"index": 62,
"spendingProof": "3e40a34274108d06b46847f84c403e5d4ad83ef99d070235f860c9fb4becb0c141bbca59449263a43068d0c83b47252ad1cc378bc34b2a6a",
"outputBlockId": "60ee8569cbbbc7e2a290e9bae43c61e68c3c650b263e56690f11cf095ddc9490",
"outputTransactionId": "48b4f266f53647f3179bbabafd9af26ac06430d059fdc0699fc68b3eac3fab77",
"outputIndex": 3,
"outputGlobalIndex": 36715476,
"outputCreatedAt": 1194251,
"outputSettledAt": 1194254,
"ergoTree": "0008cd036773a813d9444e624606a45df87cd629f520f48e308984aced04c0a04c5daf94",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6773a8,224136,...)))}",
"address": "9hFNECaeuGNhTDTH7Hb6hvjGcdezNU8vJLQqmLHggbPaSQa16NR",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 17897,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "c71509a57b27e492495232af350c16531e6ee3f66c4441b5eb051ebbf47e92a2",
"value": 2000000,
"index": 63,
"spendingProof": "0e8ef84da07ae7078f0e2232db8ae33649d012cdd288e5d7e30c9c8ec52daa0cba03569f65b2b1e292c475a556dc40fef10b4e9d7b51b82b",
"outputBlockId": "d2472434d50d3c265a334616ac0f174b1e1f263fa89f932870fbb1eecc4bfb7a",
"outputTransactionId": "aa1515101008430691a4e188a5554a5f524067e2e0bf0a677d830c289f37ab9e",
"outputIndex": 3,
"outputGlobalIndex": 36725140,
"outputCreatedAt": 1194488,
"outputSettledAt": 1194491,
"ergoTree": "0008cd036773a813d9444e624606a45df87cd629f520f48e308984aced04c0a04c5daf94",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6773a8,224136,...)))}",
"address": "9hFNECaeuGNhTDTH7Hb6hvjGcdezNU8vJLQqmLHggbPaSQa16NR",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 1419,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "6ad0205a13ea82dcccc9234ed63773e5a33a241b110c1a4bda3ac78c1fd6106d",
"value": 3700000,
"index": 64,
"spendingProof": "daedcac248a993f8d60626c4aeb8d6a09c70cbd322ae80e80af6c12da458779175ef8974154c19c685c47cb294f2735de1128e3e0826b589",
"outputBlockId": "e0ba9c7b95938ad667bca6d7cae3c3ec9c01fd955da1a8479320593ac62805e1",
"outputTransactionId": "9e498baf45b2e63c8e458c425afb49079a335bf4b6e2f399a8ecdac6b4f4f18b",
"outputIndex": 1,
"outputGlobalIndex": 36725749,
"outputCreatedAt": 1194496,
"outputSettledAt": 1194501,
"ergoTree": "0008cd036773a813d9444e624606a45df87cd629f520f48e308984aced04c0a04c5daf94",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6773a8,224136,...)))}",
"address": "9hFNECaeuGNhTDTH7Hb6hvjGcdezNU8vJLQqmLHggbPaSQa16NR",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 10103,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "68dfa246386bf30933e7292e61bdddbd42a18f75e10343e0aa33b51403154b7e",
"value": 2000000,
"index": 0,
"outputBlockId": "41c9914b19746b8e53a187f4dc7a3074e855129954ab5bb028fa403cbb9bac61",
"outputTransactionId": "a7b5ebc5ee12b500aaf8fb4e370da1f69671850f5c3f6e0e14687408629b0278",
"outputIndex": 0,
"ergoTree": "102c040004000e202c98a3e42e3f7a9a132fd937570fa4941fd1b2681eb45f73bb3171399ac5e5580e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb73501010402040204040404040004010402040404000e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34040104020406040a0402040004000400040805000400010104020402040004000400040004020402040004000402040204000400040004000406d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047303d17304d813d606db6308a7d607b27206730500d6088c720702d609b27202730600d60a8c720902d60bb27202730700d60c8c720b02d60db27206730800d60e8c720d02d60f8c720701d610e4c6a70611d611b27206730900d6128c720d01d613e4c67201041ad614e4c672010511d615b17214d6169683070193c27201c2a793e4c67201061172109372048c721101938c7203028c721102938c720901720f938c720b01721293b172137215d617e4c6a70511d618b1721795917208720ad806d619e5c672010704730ad61a997208720ad61bb2a5730b00d61cb2a5730c00d61db2db6308721b730d00d61e96830501721693721a99720c720e938c721d02721a938c721d01720f93cbc2721b730e95937219730fd804d61f9972157310d620c5a7d621b2a5731100d622b27210731200d196830c01721e9372159a7218731393b472137314721fe4c6a7041a93b27213721f00722093b472147315721f721793b27214721f00721a93e4c6721b041a83010e7220938cb2db6308721c73160001722093cbc27221720593e4c67221040e722092c17221b27210731700959172227318d801d623b2db6308722173190096830201938c7223017212928c7223027222731ad803d61fe4c6a7041ad620b2721f721900d6219a7219731bd196830801721e9372208cb2db6308b2a4731c00731d0001937213721f93b272147219009ab27217721900721a93b47214731e7219b47217731f721993b4721472217215b472177221721593e4c6721b041a83010e7220938cb2db6308721c732000017220d804d619e4c6a7041ad61ae4c672010704d61b99720a7208d61cb27217721a00d19683040172169383010eb27219721a00e4c6b2a4732100041a93721b99720e720c9591721c721bd801d61d9a721a73229683040193721c9ab27214721a00721b937219721393b472177323721ab472147324721a93b47217721d7218b47214721d7218d801d61d9a721a732596830701937215997218732693721c721b93b472197327721ab472137328721a93b47219721d7218b47213721a721593b472177329721ab47214732a721a93b47217721d7218b47214721a721593cbc2b2a4732b007205",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91,da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522,258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd,0d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce,ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4,9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a,3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69,b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f,a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d,fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0,72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec,51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca,96e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4,aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5,986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0,3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99,d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e,dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5,2a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e,520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353,d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0,e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c,68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033,904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9,c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2,d4697cbad2e4b4360a9c1557883432aabc634d3a4de8967696c57be576bd6daa,d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c,6e69e8c4981a56503fe4dbcf0fe8fbaf44baeb3c75ceb0fb4ccec494988f195d,f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e,e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b,564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538,600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74,99b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac,2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298,babcc1824934ce9442539dd144ee4ab912deeef275fbe944170e746358ddc217,22b3082d151886bfdfca5d8317beb08e310cfe2d7795e3cfd59bfc1dca5dfddd,4cca787b366a495469e0d74ad0b12f52c09c1a1a26d4728c9ca3bea4b325d374,e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e,bcce9ba79046d9aabe441e7ae15992225a89827dda7cb08b9d38eeac0dadbd13,c287c63eb262a3147939739ca832fb89845b43b4b139c359862da6705486e324,d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef,8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48,a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf,70a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c,70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83,61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931,8301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462,32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094,28799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723,ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89,41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89,ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c,c9c0ce4508800f0227a29ad2d408985c44a29bf038c7cfe88586245cd4904e8d,53c2bcb23694926b638fd831178b290f143b0704cca98f88bfb24258dac4ebdb,ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916,23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684,45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877,59f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f,a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39,ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5,0b1e840b67e8784ea1ab3371e8a474d03ee232c8ba6565f82a8e7803f2a6696b,7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6,392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1,6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661,caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10,a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2,846d8afd7bc4950908f6556325caf0132829b780928b1a33805d23522c241432,4c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f,20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f,58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df,82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607,839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629,0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b,f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd,2ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73,ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572,6ba3b5a45dd3ea28e3258709a122ed145f90c2bcf46abdcbbb099ecd6243bdde]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,24000002,60011004,21114800,36000001,30000001,24000001,30060900,30000001,216000001,150000001,48000001,30039166,30050000,60000001,36001000,27152626,141001000,60000001,126000006,152236492,21185615,24000001,24000001,18077831,14000000,12000001,60000002,81000001,192001000,30007000,72000288,9001000,111100000,21001000,4111846,15003495,9000099,12000001,15004714,30464457,6001001,27067300,90000005,126013000,63000001,15007067,111027100,26992778,30001001,30000001,114000001,27002000,15000001,3000001,75000001,15010000,36000118,33001000,33001000,33001000,33001000,33000001,33000001,33000001,60001000,12000002,36000001,24854217,33000948,33000091,102000001,24000001,75004000,33000001,15001001,24001001,6001002]"
},
"R6": {
"serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[3000000,60,1,100,800000000000,30000000]"
},
"R7": {
"serializedValue": "048e01",
"sigmaType": "SInt",
"renderedValue": "71"
}
}
}
],
"outputs": [
{
"boxId": "3a982cbf98c9c7a9dd4487c623f858ce2f898a60854429d1a58d4867bb1afb9a",
"transactionId": "74b65e0c72dd6d1913f638795ae77f124e0c05df00b98d6b1077930ed017b877",
"blockId": "e466c46657e7b8f9f391a583931eb5ae8dda40e740077c46038528baf72b013d",
"value": 122200000,
"index": 0,
"globalIndex": 37028684,
"creationHeight": 1203642,
"settlementHeight": 1203645,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(116,10,-34,4,-124,-32,54,-90,67,53,-46,126,74,-59,90,113,82,-116,-114,51,28,-16,110,29,32,-66,-121,-25,35,49,93,63)\n7: 1\n8: 0\n9: Coll(-81,-112,106,-97,-6,111,91,-127,-104,114,-95,53,-30,-89,-90,-35,-43,34,114,-24,-114,15,25,-124,43,55,48,-3,-97,-74,84,119)\n10: 21600\n11: 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 coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "nzc6aD1QoVYS1tEcrd3mg9BCgVs2uXgniPUEiUewmjiR3pLKffy8giBSgHqF7Yxse6VFx64P2C4TFtagTzJBBy6kVUPtnAWR4nV4k8DfmFos3T71RtNssV22wbzfWY2419XckkLMwvRwmUNqjCZ7Mu7dcvRibVY97UAuuoftYS8NNTf4vZWNY3msMDitNUAq3NqkDbuJ4N9GcTVCpLWDb8kz1p4x7jT5RdrK9nQ6GvZE9YmTrtAZqdNYCxqNu92XSiwm19zgfuo1Tbc1ceMDMDTjpUEDf8aMqrrTnio5KwuiZafdwABMLaJs9aLxnrHBgqBTAC9MJoEWZjaVWQFe4cDKTMZn8JT6cpqrG26dN7e1CGvzko4tTJkPYhaUqcXaAYX7tYe34efCwTcEmhPPNbeaQNkwhWBhhU55isbHsKCGr3gYgMiuek6CjocMog9DdsT",
"assets": [
{
"tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
"index": 0,
"amount": 186000000,
"name": "rspv1ErgoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd,a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2,95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91,258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd,6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661,babcc1824934ce9442539dd144ee4ab912deeef275fbe944170e746358ddc217,caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10,72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec,ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5,a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39,bcce9ba79046d9aabe441e7ae15992225a89827dda7cb08b9d38eeac0dadbd13,22b3082d151886bfdfca5d8317beb08e310cfe2d7795e3cfd59bfc1dca5dfddd,a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d,3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99,0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b,3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69,4c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f,520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353,dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5,f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e,e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e,58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df,ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c,99b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac,9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a,8301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462,68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033,e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b,c287c63eb262a3147939739ca832fb89845b43b4b139c359862da6705486e324,41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89,45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877,96e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4,fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0,d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c,51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca,32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094,82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607,70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83,20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f,986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0,23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684,61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931,904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9,7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6,6ba3b5a45dd3ea28e3258709a122ed145f90c2bcf46abdcbbb099ecd6243bdde,8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48,c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2,d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef,839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629,2ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73,564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538,d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e,392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1,ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89,e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c,ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916,a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf,ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4,600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74,d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0,ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572,b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39383363313763346465396266373836303634303430303133303164656137656539313731373961333931646633323137663964663666386264323466666664,6572676f,63617264616e6f,39685748366443735359594b64696e69383237536f766a4373466d6e65696f4c5558315662454554544a73464b6b6865737959,616464723171786561787535356b3579723878367766616a74757a677075386a683763777738767877396e716d64773237797770336c6a77686e61376c6a653234367a307a7667306134386167306677796d3864676b336e6b65307172686c7673706b77753737,0000007581992bda,00000001808bcce8,000000005acc1df4,657267,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,34653762343766303337346662353935306431303034373465346461613862376563613035303437326166613437636539663431333237346164613330643930,0000000000125da9]"
},
"R6": {
"serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
"sigmaType": "Coll[SByte]",
"renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
}
},
"spentTransactionId": "c5bf5ae48888ff4a4e62966177f918d9390b2562645915f5d07e3c291121820c",
"mainChain": true
},
{
"boxId": "24a2e847a446ee950c1a9561c077b2f42cdc131ed124d38a783515673dfaba33",
"transactionId": "74b65e0c72dd6d1913f638795ae77f124e0c05df00b98d6b1077930ed017b877",
"blockId": "e466c46657e7b8f9f391a583931eb5ae8dda40e740077c46038528baf72b013d",
"value": 5600000,
"index": 1,
"globalIndex": 37028685,
"creationHeight": 1203642,
"settlementHeight": 1203645,
"ergoTree": "0008cd036773a813d9444e624606a45df87cd629f520f48e308984aced04c0a04c5daf94",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6773a8,224136,...)))}",
"address": "9hFNECaeuGNhTDTH7Hb6hvjGcdezNU8vJLQqmLHggbPaSQa16NR",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 29419,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "475adf5aa1e56109614a36c79fb38d0a5ce9133a37b26ff6acd378c77b531a5b",
"mainChain": true
},
{
"boxId": "7a5875b8bd2aefb90ee40c9081ac77538efdf0a6480f9a994ec25b197693cf39",
"transactionId": "74b65e0c72dd6d1913f638795ae77f124e0c05df00b98d6b1077930ed017b877",
"blockId": "e466c46657e7b8f9f391a583931eb5ae8dda40e740077c46038528baf72b013d",
"value": 2100000,
"index": 2,
"globalIndex": 37028686,
"creationHeight": 1203642,
"settlementHeight": 1203645,
"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": "bfd5e4f50233cedfe8ae7d64ec286ff6baf7dee6eab9f7ff9905ce2c3a79d53f",
"mainChain": true
}
],
"size": 5472,
"isUnconfirmed": false
}