Transaction
ID: 3f81e845fc...0766
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1392 ERG
Tokens:
210,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
93,158.9 ERG
Tokens:
Loading assets...
Outputs (77)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001988571 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
3,000
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
18.74
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
36.61
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
361.25
Spent
Address:
Spent in transaction:
Settlement height:
Value:
93,158.89 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 587,679
Total coins transferred: 93,159.04 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000027 ERG
Raw Transaction Data
{
"id": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"inclusionHeight": 1181417,
"timestamp": 1705668287564,
"index": 8,
"globalIndex": 6494572,
"numConfirmations": 587679,
"inputs": [
{
"boxId": "005710a69afa4e9d98f35b4e8d0060523dcc53f6e598ce10858244659d077813",
"value": 139200000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7cecd8f0db74105b92b0d91dddf1132057d364da70257ed969ab4cec29ac0732",
"outputTransactionId": "8b25915fc8c099fefb0b297f0f057858b70eb8d6a5db59c40d67d6c2197890f5",
"outputIndex": 0,
"outputGlobalIndex": 36236485,
"outputCreatedAt": 1181403,
"outputSettledAt": 1181407,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-45,-121,28,-16,94,98,-48,-48,3,-13,-14,-23,-20,30,96,-64,127,104,94,-44,19,-14,74,65,-57,-125,-99,110,-62,-102,110,48)\n7: 1\n8: 0\n9: Coll(-49,-6,-24,37,49,49,-109,23,-116,-2,-116,82,-114,82,27,-59,-56,-113,116,-87,112,-83,29,-90,-14,95,18,-57,40,65,106,-125)\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": "nzc6aD1QoVYS1tEcrd3mg9MUkBf9hbtJXzpqMG4LeoZ7jJ1UY6Y5v6cJnmaJRC2ZcR5N2UJZxsBkXQ5CvGadv3ty6aBLLhFBvKkyuvrDKvVNTJBTRuuo8t5nVPjeCzCowyLEJHefbBDVwGhKfFba3EmatvHwn7VumQwedAcWzMs8h3SiKr6BVi59Bb4z6rD2YMDgXAZW2xrA4FF7Xv4QWwyRJGuJHe6sJ42J9W2PK7iVV5qp5q4zJhFksCgfhkdFCgQYqfYsjqYY5rH16FyHmt6skZjqy5KCAJ2oLTPWp4yYJ4CNZ4NH962rg7rXYR3L9fNXt9T5ZsUrfnhM8zkhdF69UfgVnbJxWDWsoQfxTxHyETuo1MRLdpLZ7J6o3kmMAzxAPqeNFsYj7G4wN8VyLj1uEjLT4r1ukVTHxR5jaBenVsMWYgTXKqEPV9sSbfL9dpU",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 210000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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{
"boxId": "3113bc7a97506e379fb37a33692727b8122536aa49a3dd1fa7a2cf9aff4ce447",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "fc3f1590c44304ba13b15709aacb007694bc094c37ec7c2d48128d962853fd13",
"outputTransactionId": "e26a5f5388df3bcb25f2554aecfb72ef785a3b7354dd31b65179dc754bdd5ced",
"outputIndex": 1,
"outputGlobalIndex": 36236291,
"outputCreatedAt": 1181397,
"outputSettledAt": 1181404,
"ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\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": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc]"
},
"R5": {
"serializedValue": "1a012060f7a48acbe685d19d8b4390758c6e5e793b9c34c4623a344345394946140ea0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[60f7a48acbe685d19d8b4390758c6e5e793b9c34c4623a344345394946140ea0]"
},
"R6": {
"serializedValue": "0e2072265f8930cd600282206453d84a3bf9185e1cd8dd1c0543ddeb31a55f437cdd",
"sigmaType": "Coll[SByte]",
"renderedValue": "72265f8930cd600282206453d84a3bf9185e1cd8dd1c0543ddeb31a55f437cdd"
},
"R7": {
"serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
"sigmaType": "Coll[SByte]",
"renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
}
}
},
{
"boxId": "cd24e8cc0f798421eba1a05e5a4884c5d2e760ba918db8273026acb66ce40add",
"value": 93158895671712,
"index": 2,
"spendingProof": "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",
"outputBlockId": "fc3f1590c44304ba13b15709aacb007694bc094c37ec7c2d48128d962853fd13",
"outputTransactionId": "8e61f09de165bbe4882bc9011f4ec2e1272fa36690e5495b6bba6c1bf02b43d4",
"outputIndex": 76,
"outputGlobalIndex": 36236384,
"outputCreatedAt": 1181400,
"outputSettledAt": 1181404,
"ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n2: 0",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
"address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
"assets": [
{
"tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
"index": 0,
"amount": 893257431304,
"name": "rsHOSKY",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 1,
"amount": 46179010,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a37c7bf182628c7533614f40cece2594d564558990127cdc79219f082b6095fb",
"index": 2,
"amount": 5000000000000000,
"name": "Mint",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 3,
"amount": 50658919400,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 4,
"amount": 45337740199,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "d7cefcec95c3a363beb6ca6d8da79f577b6354075d4045fd90a7ed989b807fa0",
"value": 100000000,
"index": 0,
"outputBlockId": "3550c75081b473faf2c55d20d62bd8b81212d59000401ea4dc24e65db615fc52",
"outputTransactionId": "7b668e8e6f94fcbdc89cc62afa5269b93daf0c9719bc9695f52175ec3a21813b",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
"address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[023f8413bfc4337f638d5cb4ed8061a19a585b7f8cc998e833da7bcce233259af1,03e463d7f39be38581653880cc0012786d1a9dca392915677e6752cc9340fee658,02a54073ef61346116d1b823443425bf5ac2598446e492373be2f3051538c6a970,03d243f910e893cbe9762c7d99253240e07656ffbc4c2df4c8cefdb929c138fdfe,02ccee7bdf8fa0177a040f4e2c38229a759c9b4868c7385c096a6e596631a15248,02a8ad3349dc0c6cd36d94665350a728feb8c0d0736220ff9526a86a1ff34a3ca8,03f5d16bbd6e604a5cd9dc39389613cd793a1410c7355532a6863ebb54ffda2786,037bd82a1cea0b7ffabd76beddbf33d0095acfe5a43d9a36482d141dd982102538,0356f30114e4a2ded498e2b75ea5f4e97100f94e137c8958446932f08de289cb92,0263470e93f98af66bab6a984e305374a4ca822d70364cc50289c3921d657b052d]"
},
"R5": {
"serializedValue": "10020c0e",
"sigmaType": "Coll[SInt]",
"renderedValue": "[6,7]"
}
}
}
],
"outputs": [
{
"boxId": "355ab8e49ebf61f50218fd882f973d383967bf6de2d0f5d0486d0a5aeab58fb9",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 0,
"globalIndex": 36236673,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5]"
}
},
"spentTransactionId": "0aea1cba544d822859decb0511529f8789e9aa74f13a19f84b5b7f988f47213a",
"mainChain": true
},
{
"boxId": "1f8ce8b38bd283eb850a3a443482faaabfc2d21e15f980376742c292f462e8b5",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 1,
"globalIndex": 36236674,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70]"
}
},
"spentTransactionId": "5e3dbf2aebe4147efe3bc9e72db4511468c8f2fb4afee38989ff17506a1ad6d3",
"mainChain": true
},
{
"boxId": "e9a0955856044c5f430299845dcb0135c21b5cdb2185b46a9fa9537a8d6a8f41",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 2,
"globalIndex": 36236675,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd]"
}
},
"spentTransactionId": "b18b7a983aaf543d5a1c1fdf18b4fdcbf7786939afa1e0aca099a5eb36d39856",
"mainChain": true
},
{
"boxId": "17f5ece16020366dee7aa8b50a24301f0a10d7962b50319e97d34c1820a4414e",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 3,
"globalIndex": 36236676,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012084598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d]"
}
},
"spentTransactionId": "c9913bdd168a46b115406ae888e1358224017e226ca06333bd1d8541d67f25ee",
"mainChain": true
},
{
"boxId": "62b318b3f9631fc7b71293ef0790e18f710607e9879a8c96b9b849496accb763",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 4,
"globalIndex": 36236677,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2]"
}
},
"spentTransactionId": "59522cec26584561c87f4345d6dab142f6144f311a13d838a5107b117046a8e9",
"mainChain": true
},
{
"boxId": "51f186a5dc3885d2c8bc9ee351a22e2f4b5741e4607edc0159e46d947a407bd1",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 5,
"globalIndex": 36236678,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684]"
}
},
"spentTransactionId": "b05111c719f54889c9b765c314977e0a79f16560cadc2a59572372c617fc7704",
"mainChain": true
},
{
"boxId": "cce284fa0fbb7224f0b10667d5780c740e837bb50e45251c7b109c18dacd46a4",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 6,
"globalIndex": 36236679,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079]"
}
},
"spentTransactionId": "faa8dc5aa56881839cdc2f28daef3d90bc65b248fe2173bef660f2dbd87c38db",
"mainChain": true
},
{
"boxId": "8bcfc04d6f8c8999cabbf99b70165af1bbebe7ac7a501a052da89a642365cc1b",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 7,
"globalIndex": 36236680,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a]"
}
},
"spentTransactionId": "dfcaf3c94cc78cb8ef95b39ad498649decd6530753df730e92057eb42041f812",
"mainChain": true
},
{
"boxId": "048b4c35eb57aa8686b04f0572ed9ae0e0cec76449a8b32b02a385419b701ba4",
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"value": 1988571,
"index": 8,
"globalIndex": 36236681,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712]"
}
},
"spentTransactionId": "4198b9913ad413a355a7b5488ea13a6fa4adc77ed0eaaed2a5fc57c713d8c78e",
"mainChain": true
},
{
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"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 9,
"globalIndex": 36236682,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4]"
}
},
"spentTransactionId": "9c206b4dbed22cbeed145a494a40977ed53540c93781fd4c7bdbee5821eb3d49",
"mainChain": true
},
{
"boxId": "b407500b716f315a07c9b73a96258a6c78a4eb812b53950a018b7953817b6814",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 10,
"globalIndex": 36236683,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936]"
}
},
"spentTransactionId": "65cb09d5f39d4aea19bca1f7a6cf406756745e42688f435541f5d4616e72c080",
"mainChain": true
},
{
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"value": 1988571,
"index": 11,
"globalIndex": 36236684,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726]"
}
},
"spentTransactionId": "12a340ecc924db6819110ac23d234fd65aed5546370a5b3ec18332fa903e540b",
"mainChain": true
},
{
"boxId": "ee14316ace890ac26605d3ff742c26c7f09385d79ec22fa2ef271992452f1d0a",
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"value": 1988571,
"index": 12,
"globalIndex": 36236685,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9]"
}
},
"spentTransactionId": "775af1906b65135cd33284726bf875d675ee9d9aa624913a83113c2c9d24e8ba",
"mainChain": true
},
{
"boxId": "a5c04ee2b5213508f00b6e0b086a99f0219528a2f2d737831bdccd2cbb8bb3ca",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 13,
"globalIndex": 36236686,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "A9fBWPAmCk62kmZS6amXrSsebAaLNC5GtYCTtAES6EZVJsTD8Eh55Uj2yrA1JRVTfgxC2WhtaySsfVqSV75ynUGfefCqjXyGfJQhTMZUrA6tmDroj1erQ5tptzJrS9vX2MQ2t6XmZ4uQcmwzn9yFHsVMoWagJ6aHigL8ydhr35BB1nwjHfRFZWjG7QuHKx4yvsMSkd4Mh99NXXZaHKeoBS1Mt3bXqW47ZNYfWW2iffq1yDyHCkMzhKUS6WnWxP25kV9oW4ZcDersqDdn3CHv89ZECX7w1z6tm4o4tg5DYsdKnJe86aJNbRvLuKK1CTffgMuxzMkbNT9NNWoyxTcdAkMq4NxGmFZ92t7PBejyZFC4jRApWp7Emyk8pMW2YemKuKYgvNPZZApWEKeYzZVAi6WYb4aHnfP9WWK8Qwofge7qieVFY1nWdxR16ErJGzHAXGAKmboL14YqHeJaA4YCeYDJA58Qx4G1q1pAn6752uZqeJzu4DSpygpUwQ1yNZAQkCLBxqsLygmGY3EY61cahcnqXwDaARNKo3ymLztWmWcY1VPeMAD6CfrBPfNsNEX7kwVKupVrBhcSfaAfiMnpSviYdTQiTRrcgSbQTomWDNzFHCJ2yLpMAFHzNgutasySqx88qwkjgfNv7JePNu738pvvPTGJ7XnANf",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9]"
}
},
"spentTransactionId": "c16cb980fb4723840623f3a6565f6c1c7d683a76b6e0a6b1eb33b630943bd1f7",
"mainChain": true
},
{
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"value": 1988571,
"index": 14,
"globalIndex": 36236687,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb]"
}
},
"spentTransactionId": "80a53318f697ad403b08c1d51b04c1d12edc894aec97afdeb276f99184287904",
"mainChain": true
},
{
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"value": 1988571,
"index": 15,
"globalIndex": 36236688,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012052b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43]"
}
},
"spentTransactionId": "281080b58bddeca6512730fd1d965e4f4f9d94ab2e03122cb9e7c6241adb7c8e",
"mainChain": true
},
{
"boxId": "8b87ab3b3d2cd74ba162b69a6f72363781ceb2c4e08bf2cec02e68abe11401ec",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 16,
"globalIndex": 36236689,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb]"
}
},
"spentTransactionId": "a883c7dce19381270dbf24319929120c7a14990e3ff0212b8f7bc0a24ee48468",
"mainChain": true
},
{
"boxId": "92f34766eceb3d5daaf4616d6c5f66dd696e701af4a1c36d948076e38c23cc43",
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"index": 17,
"globalIndex": 36236690,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba]"
}
},
"spentTransactionId": "0298008002374c269b4a586c67f9976be54edddf33213557a95b4ea4f3286c87",
"mainChain": true
},
{
"boxId": "fca3dd4dcd701f566a5b6318f8fc4f9e1d66a6f44e0099299a6c3f96cdcc2864",
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"value": 1988571,
"index": 18,
"globalIndex": 36236691,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd]"
}
},
"spentTransactionId": "91e394e92e51f146127b6a35279cdfba5bee2be128774e66d6fa9e6fe99a0efe",
"mainChain": true
},
{
"boxId": "2e8633de636b86ea0e73f362d05cffd613907c4326f125a8a912cd84631025ba",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 19,
"globalIndex": 36236692,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a]"
}
},
"spentTransactionId": "61b1ea95d68a6237f8932682ff2d943476cc74409d6b26f94e8b9580079133dc",
"mainChain": true
},
{
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"index": 20,
"globalIndex": 36236693,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0b226e1f2dc8e442c4792cfbfbc9f0474c3ccdb3d7e5ade69721acfac9aaabc",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0b226e1f2dc8e442c4792cfbfbc9f0474c3ccdb3d7e5ade69721acfac9aaabc]"
}
},
"spentTransactionId": "9153f1e4fd73235bfb8b37b8733588694f4d1e2697e884d00f0f7b6c2ead5988",
"mainChain": true
},
{
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"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 21,
"globalIndex": 36236694,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1]"
}
},
"spentTransactionId": "56be3cf052f6327b3d9982cdbce3cad5e8f1f06bb311d02a453659f50c2f5a35",
"mainChain": true
},
{
"boxId": "fecd91b512fc7e87e4da421407fc975d02c6c1256c8e09d9025f53dcc5f73799",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 22,
"globalIndex": 36236695,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012053a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323]"
}
},
"spentTransactionId": "5bded588beccc9b2184b9ec0f1665981db467d442730f40af029c1b8524bbc72",
"mainChain": true
},
{
"boxId": "1709c9c3bd52ec5c9b4dbe433d55f22bd5c4b5821c844479ba67a277f37e84bf",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 23,
"globalIndex": 36236696,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9]"
}
},
"spentTransactionId": "7b23a13c566b3973a573625f2f209b0ae99f3f382917ab9f7a1cd0b466086617",
"mainChain": true
},
{
"boxId": "15a5f1263e8f18b2b0f277381a4ca06105f248b39034cc37c39f5dc3f776f121",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 24,
"globalIndex": 36236697,
"creationHeight": 1181412,
"settlementHeight": 1181417,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161]"
}
},
"spentTransactionId": "521ebcfef52efa99f5e935caf3d0924913fa7dc56311e8cbe55cd5d0a8d2b8be",
"mainChain": true
},
{
"boxId": "554272b93d878ef8c98749c9ccf7f7f4a2dde67d918dc9c3316ec46863ca0323",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 25,
"globalIndex": 36236698,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f]"
}
},
"spentTransactionId": "6db980639e7147e8abf5031fac94369e29f27f72abf6712e2d648fa093ec4451",
"mainChain": true
},
{
"boxId": "37a5117657e38d73d5a20c6728dfe6a8d97e607036ea25ae6454cf65537e3a4a",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 26,
"globalIndex": 36236699,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8]"
}
},
"spentTransactionId": "7c0b60bdd056a1897ed5307d2a515537b96b06a1663b25bbd907f2fb3a23c570",
"mainChain": true
},
{
"boxId": "cdfcdf1fcd1b4989171a114cd805f2abe9578dc6b946dcc10f8432cac6efefad",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 27,
"globalIndex": 36236700,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012068cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[68cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3]"
}
},
"spentTransactionId": "40f1436ce35f2400011c0c9f8b4ecd99ab1a753c0887b6a67cdfa1b8e3833d26",
"mainChain": true
},
{
"boxId": "29c9cb2613c5bb84bb91212ff1d5bebb2a6daede84e541660661f26bdc67e8ad",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 28,
"globalIndex": 36236701,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb]"
}
},
"spentTransactionId": "4bb82bc8dcff6552f2b29d7b5d0a7855a2c3580cc01b170f65348f25433c399f",
"mainChain": true
},
{
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"index": 29,
"globalIndex": 36236702,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794]"
}
},
"spentTransactionId": "64a8bddba8e7e20610944569f63232e4d76c9bd1095f0e73181c82c29d0d3c43",
"mainChain": true
},
{
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"value": 1988571,
"index": 30,
"globalIndex": 36236703,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c]"
}
},
"spentTransactionId": "d2914790ff9d657970a7bccba2f4992a0a88cb4614187f2c1cb50bc3f7a719da",
"mainChain": true
},
{
"boxId": "63ffbeea90df953cfad49e13b0c2df5c6a80191dc545ed3152cb5745dcf53ae2",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 31,
"globalIndex": 36236704,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209008014c851d04af437550b9de80adc5a573fb3751c8c119a19626893ac3d951",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9008014c851d04af437550b9de80adc5a573fb3751c8c119a19626893ac3d951]"
}
},
"spentTransactionId": "134c3ea0d7c36ad0ae4a371b55c9ef3cd35ae0485e4bb37d0dbbb2eb0be19f5e",
"mainChain": true
},
{
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"value": 1988571,
"index": 32,
"globalIndex": 36236705,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa]"
}
},
"spentTransactionId": "890bc7d7dd3414ade7871636b32cdf2ed461c2a902b1a1c3e6402e05b9cb813e",
"mainChain": true
},
{
"boxId": "7d373fc80fa6709689698c7d1db6a22f9bf81dfb615e4fd110c46b57e13c061e",
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"value": 1988571,
"index": 33,
"globalIndex": 36236706,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478]"
}
},
"spentTransactionId": "29341e92fc018bdddf219dca46a1d17810367a54db33a0171f662e8a2b1410d6",
"mainChain": true
},
{
"boxId": "67676a938dd9fa3e438868227daaef2e3c588a74eae595cb1b8e46b14d505363",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 34,
"globalIndex": 36236707,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5]"
}
},
"spentTransactionId": "c530dbb87672fea9a9907adeb4fcdd75bd0f73ea1f17d3a029dc2988c0c40b9a",
"mainChain": true
},
{
"boxId": "36f7353c05c7409f10298909c585a59a3c85c6873d6a4226ad750facd432be61",
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"value": 1988571,
"index": 35,
"globalIndex": 36236708,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766]"
}
},
"spentTransactionId": "358c45bc53e4758ce44f2c78bbdad1bffac3a06d5460a159ffa37efd10ac19cb",
"mainChain": true
},
{
"boxId": "aab04d1765ed48751df19f4b4de01b67424dc44da2ec36f9ea254c130fb9b832",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 36,
"globalIndex": 36236709,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2]"
}
},
"spentTransactionId": "15d915cbc5fc38a5ca10fceb0852b698001d0052e240b20373061c61d9c83b97",
"mainChain": true
},
{
"boxId": "2a4e0ca8438020218cfb49a64738c13b6ea5eba4cb2f60a6ba179b0f3cd345bd",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 37,
"globalIndex": 36236710,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e]"
}
},
"spentTransactionId": "0cf55c0c635664f35b3aac6269e12acc324873937e8609968b20be0e29f38cbf",
"mainChain": true
},
{
"boxId": "7a5656d09b96e9e0dc1601163511aa145b122f418f19ff92a94ffc9c16a1d3f1",
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"index": 38,
"globalIndex": 36236711,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012064579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec]"
}
},
"spentTransactionId": "fe514aa5ec57b95259afeed449498fecba1a144884f75f2066d8cf87cbaf74cf",
"mainChain": true
},
{
"boxId": "eca6fb21136283c394cd0579dc2990a8bd985640d1cf1ed16cf5a34acf163dde",
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"value": 1988571,
"index": 39,
"globalIndex": 36236712,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012086e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f]"
}
},
"spentTransactionId": "4f44ad7223a3355baa6a326d8ddfdd1cc58a764418c22bce492b4312cf8f7eda",
"mainChain": true
},
{
"boxId": "98bb1957161af33f9442f19bf7e6e29dc496ad0a82cd59f6520563ffc1c3ff96",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 40,
"globalIndex": 36236713,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d]"
}
},
"spentTransactionId": "1d5958f8340f8e5af5d73dcaf2c19a8047d5cb1b4366ebac05c671cea81e8dbf",
"mainChain": true
},
{
"boxId": "4b7b8bd18a1a9242d08ab2ea5113486f39160f7a601014e4d88db7429d42bf05",
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"value": 1988571,
"index": 41,
"globalIndex": 36236714,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c]"
}
},
"spentTransactionId": "d4fbc6ba62baf514cc0dafc439428c6224dffe45e73f738043af08189cd949ed",
"mainChain": true
},
{
"boxId": "23d17bd09b524cd889caf5a597c444483403b6a8f011ba7bba6e2bc1ec667a50",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 42,
"globalIndex": 36236715,
"creationHeight": 1181412,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba]"
}
},
"spentTransactionId": "89f94db5e4cfb43fff1beed568ae6d76832661f3e78f6bc287e171b637a62fef",
"mainChain": true
},
{
"boxId": "fb4287a2c32f1931a8be853914d6558192bd0dbf6995f588649a1a7c96ee0ad5",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 43,
"globalIndex": 36236716,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106]"
}
},
"spentTransactionId": "0234ed5e23814a8460a969cccf6a47fd81d0d66c7dbdd2a901ab3e8112c0f992",
"mainChain": true
},
{
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"index": 44,
"globalIndex": 36236717,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951]"
}
},
"spentTransactionId": "dad809c6b284380420d4d0fcbd925669f6905996e67963e2139e9601221f765d",
"mainChain": true
},
{
"boxId": "59a6d6a79280a1ce8531532fa53a79b2a67a6e6ddb2e8e06ce345715d90c57df",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 45,
"globalIndex": 36236718,
"creationHeight": 1181412,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb]"
}
},
"spentTransactionId": "bc4ae8540975d8730b3511ce79637e61baccdf3beb59aff56a68c653ebbda7d1",
"mainChain": true
},
{
"boxId": "45e37041484b0e1a5edea96e245ac0947f841fa13cfe38524f0f05ec134313d9",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 46,
"globalIndex": 36236719,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2]"
}
},
"spentTransactionId": "bb2d4e5bbd49a43c1f3dc0f64427dab0a122c920bf297be20e5433b600172431",
"mainChain": true
},
{
"boxId": "1668f3ce3833841c2bd314d42eeb5bad8ff9c28637ba4e4239455f8e5b28d892",
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"value": 1988571,
"index": 47,
"globalIndex": 36236720,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9]"
}
},
"spentTransactionId": "50afb9fbcd654e6a26975115d4406c91793134085fd11749def436b3f9cab583",
"mainChain": true
},
{
"boxId": "b58fb6b7c53885a523d465da570f4c1c34164997564d8e0684e7691bd166ecec",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 48,
"globalIndex": 36236721,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51]"
}
},
"spentTransactionId": "e08b9aaad7b6c95dfef00d7b116bc32cd4710bed1b42a7384749ba52d63e2732",
"mainChain": true
},
{
"boxId": "a8dba5758b785feb7eeda486f4cb6053c4b7c4ac4a2308192941bbeaa0c889c3",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 49,
"globalIndex": 36236722,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4]"
}
},
"spentTransactionId": "b7ae319fbc49cf02e78d0f8e06c3893be9dd34b87fed463fe3311106fcd1ce76",
"mainChain": true
},
{
"boxId": "1deff8ae7ce619284dfcbfd91bca80ee5ab992a3205b6de2d51c1884579fcd5a",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 50,
"globalIndex": 36236723,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22]"
}
},
"spentTransactionId": "321c9b5f778811131f43db458641c47b5d0091f1a31cc19f7dc7f6bdb012b797",
"mainChain": true
},
{
"boxId": "191f9335b3a31cb2379d72b718a74c107a512aa70d2e42154b68b2d170b45157",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 51,
"globalIndex": 36236724,
"creationHeight": 1181412,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c]"
}
},
"spentTransactionId": "eda4f84b9d9f3f8603584941d1c1b8347ebdbfb53f35ae1f5f442d17564cded5",
"mainChain": true
},
{
"boxId": "b71935f85e3446b82f39f9018e3ba0db7678efa0f1ced3ab880c21681cf56975",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 52,
"globalIndex": 36236725,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
}
},
"spentTransactionId": "6779bdd3cd5bdffdb5f2c60153a85f6b8f767aafb680950dcc6c12df8ff88721",
"mainChain": true
},
{
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"value": 1988571,
"index": 53,
"globalIndex": 36236726,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958]"
}
},
"spentTransactionId": "150b02cc83063ec1d5d05bacfbb1371cad82b53765beb62b44f119a59e6bcfaa",
"mainChain": true
},
{
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"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 54,
"globalIndex": 36236727,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01204acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f]"
}
},
"spentTransactionId": "b053bfecc3d3e518ba6d8d54e624978e8f4bed8b44ac8f6b4addf2cb348a5f49",
"mainChain": true
},
{
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"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 55,
"globalIndex": 36236728,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407]"
}
},
"spentTransactionId": "5a65820fd1744418d294a385713650413e1661975855335cb1ee8707d959f8e6",
"mainChain": true
},
{
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"index": 56,
"globalIndex": 36236729,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94]"
}
},
"spentTransactionId": "15243bfef90eb43400af5819b20ef2236303aa39170de750216dd4c1318cff7f",
"mainChain": true
},
{
"boxId": "e05beb1fad0dd45c38f9d230b52794b092169a595336793c44d960e7c0f9e671",
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"value": 1988571,
"index": 57,
"globalIndex": 36236730,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154]"
}
},
"spentTransactionId": "184102e765f935770cb4345e2ced49025bde2cc87fd4c0ced1fc1819bc10c979",
"mainChain": true
},
{
"boxId": "43ba916052b33d9f6b5fb0bd574c4c04cd880e19998162d2cac0c7796ce7ad35",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 58,
"globalIndex": 36236731,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8]"
}
},
"spentTransactionId": "66e759d98dbe38762759df2dab20d6225358bbfef3df0b1418d3f7d7a5e2a0f6",
"mainChain": true
},
{
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"value": 1988571,
"index": 59,
"globalIndex": 36236732,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012046d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445]"
}
},
"spentTransactionId": "b671c5be537fb998b49f081f4c38b1faf0000bc187cd1ac968c62164714a2043",
"mainChain": true
},
{
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"value": 1988571,
"index": 60,
"globalIndex": 36236733,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba]"
}
},
"spentTransactionId": "f1dcca9cc40640445b7b226d7545a85e0b94c996d546b785d47fbd71ab965685",
"mainChain": true
},
{
"boxId": "ff0804b54d9d62ab86180aeefc2b7d276da2e8e4f67444c2bb806e6baf1725da",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 61,
"globalIndex": 36236734,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09]"
}
},
"spentTransactionId": "065f8e14f494c84d0aff57cea7b12f52f3648d5abadc2e2cda4c9097c4f52119",
"mainChain": true
},
{
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"value": 1988571,
"index": 62,
"globalIndex": 36236735,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1]"
}
},
"spentTransactionId": "0095150bfeebd8efa119c3dd864903349d3bff32b1b8f2bba80a2504f1947aa1",
"mainChain": true
},
{
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"value": 1988571,
"index": 63,
"globalIndex": 36236736,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012087d76b69ef05f09b62ea12906c38c9106207ed86ff49e0a3ef4053faa1ce61d4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[87d76b69ef05f09b62ea12906c38c9106207ed86ff49e0a3ef4053faa1ce61d4]"
}
},
"spentTransactionId": "238500bd47214d91e5ab5f5b9715d8c60c762554cab0d3a8c9c1ce6cdf1cf271",
"mainChain": true
},
{
"boxId": "9c91a3c060ebb4a8d21b8398e8ec1f8c45d2069cccf833e8fcb1753bcc117680",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 64,
"globalIndex": 36236737,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152]"
}
},
"spentTransactionId": "b289df0098a5aea2a3caffc027cd16df44db196fb2fd36bba4eba9c7d3f18ef9",
"mainChain": true
},
{
"boxId": "9846ad7dae19205b079186e28fe6142e301b1392d4d282b4990b2789387c29aa",
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"value": 1988571,
"index": 65,
"globalIndex": 36236738,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb]"
}
},
"spentTransactionId": "5cba67fa355508f2d6553cd163cb2d12207813eb1505663d694ce1e8bb71241b",
"mainChain": true
},
{
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"index": 66,
"globalIndex": 36236739,
"creationHeight": 1181412,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68]"
}
},
"spentTransactionId": "4d62ba823bbf0370a11c2f6e28d0bd8fa5e2125948feedb780eac45fd91f60f6",
"mainChain": true
},
{
"boxId": "8cd912deba6b56a78c310511d80c2c9e142a3bc72a8809e50557d1a0964bd504",
"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 1988571,
"index": 67,
"globalIndex": 36236740,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03]"
}
},
"spentTransactionId": "1714788d420be7b5f7455f8e75f7d8f1ae416de870b9e434e1a3729bd54a2e24",
"mainChain": true
},
{
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"value": 1988571,
"index": 68,
"globalIndex": 36236741,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012003310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533]"
}
},
"spentTransactionId": "cc7baf05a247b6a3b1b91236e9f542af4d89007765148c236bf2dea0c7dc08ab",
"mainChain": true
},
{
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"transactionId": "3f81e845fc32614384732aa84dd13a699c8ed8a8002494b88db968662b530766",
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"value": 1988571,
"index": 69,
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"creationHeight": 1181412,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
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"name": "rspv1CardanoRWT",
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"type": "EIP-004"
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"additionalRegisters": {
"R4": {
"serializedValue": "1a012096da61372142ca01e79384414f682753315c2270f2585f8af697d05f1e792e11",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[96da61372142ca01e79384414f682753315c2270f2585f8af697d05f1e792e11]"
}
},
"spentTransactionId": "63a4c81acb917a0c5df2de63e205ca1367ab6ec66eea54b20f16b24556c4b66f",
"mainChain": true
},
{
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"index": 70,
"globalIndex": 36236743,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: 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)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
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"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
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"amount": 1201,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc]"
}
},
"spentTransactionId": "af4ba298fcd05e82d8490856397667d967497eae901870caa09b10d72ba70d3e",
"mainChain": true
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{
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"index": 71,
"globalIndex": 36236744,
"creationHeight": 1181412,
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"ergoTree": "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",
"ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(184ade,6460f0,...)))\n2: SigmaProp(ProveDlog(ECPoint(5568b8,d8af32,...)))\n3: SigmaProp(ProveDlog(ECPoint(b4948f,68b94a,...)))\n4: SigmaProp(ProveDlog(ECPoint(e23ebd,6a38ff,...)))\n5: SigmaProp(ProveDlog(ECPoint(e5dbac,32b186,...)))\n6: SigmaProp(ProveDlog(ECPoint(416af7,1d249e,...)))\n7: SigmaProp(ProveDlog(ECPoint(7c4e02,e1aeee,...)))\n8: SigmaProp(ProveDlog(ECPoint(938056,c6c543,...)))\n9: SigmaProp(ProveDlog(ECPoint(d3c8f1,1e42df,...)))\n10: SigmaProp(ProveDlog(ECPoint(d5aa4e,d44a7d,...)))",
"ergoTreeScript": "{atLeast(\n placeholder[Int](0), Coll[SigmaProp](\n placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n SigmaProp\n ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n )\n)}",
"address": "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",
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{
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"index": 0,
"amount": 18735750,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"blockId": "dfd6e256e933a003e062a0e0210978120265ae43441d8d3061d0916e76dff10c",
"value": 300000,
"index": 72,
"globalIndex": 36236745,
"creationHeight": 1181412,
"settlementHeight": 1181417,
"ergoTree": "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",
"ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(596283,8442e2,...)))\n2: SigmaProp(ProveDlog(ECPoint(9a1787,13df4d,...)))\n3: SigmaProp(ProveDlog(ECPoint(6f0abe,f24735,...)))\n4: SigmaProp(ProveDlog(ECPoint(37c2ac,9853ba,...)))\n5: SigmaProp(ProveDlog(ECPoint(3a97ce,34c46c,...)))\n6: SigmaProp(ProveDlog(ECPoint(5a2369,a6e355,...)))\n7: SigmaProp(ProveDlog(ECPoint(7631ef,bd24b8,...)))\n8: SigmaProp(ProveDlog(ECPoint(a3c11c,855bc5,...)))\n9: SigmaProp(ProveDlog(ECPoint(f3c19c,e3a122,...)))\n10: SigmaProp(ProveDlog(ECPoint(fefff9,fecf6f,...)))",
"ergoTreeScript": "{atLeast(\n placeholder[Int](0), Coll[SigmaProp](\n placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n SigmaProp\n ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n )\n)}",
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{
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"index": 0,
"amount": 36612,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
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"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
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{
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},
{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1f9752,cd016e,...)))}",
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
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"name": "rsHOSKY",
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"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"name": "Mint",
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"type": "EIP-004"
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"type": "EIP-004"
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{
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"name": "rsADA",
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}
],
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"mainChain": true
},
{
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"index": 76,
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"creationHeight": 1181412,
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"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)}",
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"spentTransactionId": "70f64664d9ca55923130960e581c4720bb4ea3b8bbb823129ae1992586418f8c",
"mainChain": true
}
],
"size": 40256,
"isUnconfirmed": false
}