Transaction
ID: e82448726a...f776
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1132 ERG
Tokens:
171,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
3,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
1,578
Spent
Address:
Output transaction:
Settlement height:
Value:
61,345.78 ERG
Outputs (64)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001985964 ERG
Tokens:
1
3,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
3,000
Unspent
Unspent
Address:
Settlement height:
Value:
0.0003 ERG
Tokens:
30.35
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
243.9 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
61,095.77 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 598,893
Total coins transferred: 61,345.89 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000033 ERG
Raw Transaction Data
{
"id": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"inclusionHeight": 1170647,
"timestamp": 1704362133468,
"index": 7,
"globalIndex": 6403891,
"numConfirmations": 598893,
"inputs": [
{
"boxId": "a0c8c8e56ef1ed60f6300c52a8ff38d1e74f78364543a2535da44ec6ef83dbca",
"value": 113200000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f63c643ca01248eed979a76acf3763011a304475980c419ed63a81065693ffaa",
"outputTransactionId": "41f73465c84fbe27aa94526d69fc912fb6f269768c2b3787be84efbb966b465c",
"outputIndex": 0,
"outputGlobalIndex": 35763642,
"outputCreatedAt": 1170631,
"outputSettledAt": 1170633,
"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": 171000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a39203effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc7020c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc220243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd207eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb20feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4200e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756208e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a2086e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f209253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d5120e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f2084598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d20b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce220e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794205e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe920477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc20d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e222052b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43200fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a20903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab220d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb95120b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e920270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079202c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e20f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9205ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db868420edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb6164110620c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db520f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd201db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa420952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161208ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e37122053a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323207b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd840720520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a20fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e820441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac120fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb20d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb20f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba20745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c7547820aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb2096da61372142ca01e79384414f682753315c2270f2585f8af697d05f1e792e11209c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a15420bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68207311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1209e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c207871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d0920f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958208606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c0320e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c20f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c20656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c209db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766204acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f20ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a1522064579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec",
"sigmaType": "Coll[Coll[SByte]]",
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},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[62343561643163313631653635316164356563366331653034333563633766653262313336613162313735313032396537626131623831353730666464643662,63617264616e6f,6572676f,6164647231717838746a79733071676c3637746a70357a66306c6a6463377037656364707473783373387279616d3939666733656a7767777065686b79717674397277367a746e3874757a6d7976736d37706679667235727561667a63397a3073776d79686870,396661715a725437366e33524d424c37613338593478446b4144317466524e645068724548784d6e6b566f506b314d7a376546,0000003a35294400,000000016b716590,00000000006acfc0,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,657267,39636632373363383732636136386636646263656631623838613065353664333031333664616336616339323861643865613364373731393134656135333065,000000000094eeb2]"
},
"R6": {
"serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
"sigmaType": "Coll[SByte]",
"renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
}
}
},
{
"boxId": "6bcaac68b905146fa08b22509e250c7d578c62172598bb70ebb5f2956b6b1c08",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3107ab2fea78a4104b4a20a1b209277c8043e4749f0f076383e410b36d934d1b",
"outputTransactionId": "b741c0abce106a64171cf16b2b0cab9636b20e0841963a702ab10e084805dfbc",
"outputIndex": 1,
"outputGlobalIndex": 35763252,
"outputCreatedAt": 1170626,
"outputSettledAt": 1170628,
"ergoTree": "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",
"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": "1a01202b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5]"
},
"R5": {
"serializedValue": "1a0120c5726deb503d32c58d9ae06ef6d142cb2a90cb1af328af06c23ffa02f9401831",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c5726deb503d32c58d9ae06ef6d142cb2a90cb1af328af06c23ffa02f9401831]"
},
"R6": {
"serializedValue": "0e20a7da0ab2438332d172da23e700879a97919f213ab82578526b19a4a85510aa92",
"sigmaType": "Coll[SByte]",
"renderedValue": "a7da0ab2438332d172da23e700879a97919f213ab82578526b19a4a85510aa92"
},
"R7": {
"serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
"sigmaType": "Coll[SByte]",
"renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
}
}
},
{
"boxId": "0622f13341889e5eff95cf193310a873bf7223047b492e64d598eb520aaa2bdb",
"value": 400000,
"index": 2,
"spendingProof": "ef738e58dc7904e74e47699da598ac23e772b71c3f1598e332180564d721c072e284f5d4f7a0271a62ded96d03913a5c2f025b5c9042cfa014ca85c8ae8f4320ef13b39fa17eb4b569f585be71845ede9c1e17a3eb773a89dcda1889ba3e1f182f33293a875985acab2624f940c7c48e97e0a2ddff139889172637510be2ded6cf198361947140581d34c4f3344dce663dafa4fdac3803fb4dca99bc8e1db319b6e27019fb19380dd7147425ef020b91a7014fb4201ea60600f592b04d6fb42011f6004c5e46ced80f951a9849111589773e829481d0bf6f81468019a39dd555924ca2b9f5bcf2a78cc748b894050030eeaaf90f70fc859f20314c86a3889cb7d64c98c224e0b2a4666b7b19936e2c5bb87c4abd438c2b89001924b6fb2064546a40f11ee87789f100300ebc2b11adaa1f32e6ca58288affd6fa18d6c11c490e5aa6c4ab6d1f77c4aa96b70af8fdb9df9b6ffe66a9258c39a9774dcbd4a7767e088f53f40b09ca72e77109b1c117381f65a13de8d1533915a393cb70bf5256eaa3ee0fb07155d936c7e0cd93c8e7962bc0d41ad220e49771e2966e3e3964ee35e26c4627cc0ac2f8efa2420166f706f1238d5623359ed273",
"outputBlockId": "5c2a7b956e9027520e63394e80c7b574c75f54caa49e0e0f80bdbc90000efea7",
"outputTransactionId": "68cc40a5e34af4a36d8a48d105fe8834256c2240f597a94dd81b0211e3b313a8",
"outputIndex": 0,
"outputGlobalIndex": 35763140,
"outputCreatedAt": 1170622,
"outputSettledAt": 1170625,
"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": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 0,
"amount": 1578000000,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f676164647231717935786d6e356b736e6539636e65376674707837743633636e7875767966796a6a73393736636e683539683535797130617364686a65357733677070616866613274647a36307966346b6c3573666c3067676a6b7238767272657338367634613807333939393531320831363733353232363339677744754e775a7a774478416b4d424464655533374137426955676e4276336a466565737073524a4c6d544c454e33574a33",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,6164647231717935786d6e356b736e6539636e65376674707837743633636e7875767966796a6a73393736636e683539683535797130617364686a65357733677070616866613274647a36307966346b6c3573666c3067676a6b72387672726573383676346138,33393939353132,3136373335323236,39677744754e775a7a774478416b4d424464655533374137426955676e4276336a466565737073524a4c6d544c454e33574a33]"
}
}
},
{
"boxId": "789b2c4f6795e8a0d2acc321e2138ab1ce0385b2b4b57f8b7f9eaf6ce94a5886",
"value": 61345775848448,
"index": 3,
"spendingProof": "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",
"outputBlockId": "6e29e83eb41f822a12d9b35c02901220127d5d84bd4ca315474fa989c706b437",
"outputTransactionId": "ab308d36a27160ac64717bf13cf9f3626e9a7801ab84066d0abfac6e3c52534b",
"outputIndex": 59,
"outputGlobalIndex": 35761160,
"outputCreatedAt": 1170568,
"outputSettledAt": 1170572,
"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": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 50682037092,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
"index": 1,
"amount": 64817133140,
"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": "49a1afcd0e119e7092398e3807fb799309025ad24cca2ce6c5f7949274d4f5d4",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 0,
"globalIndex": 35763941,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70]"
}
},
"spentTransactionId": "10d98badae33075681dee5e9c98a9d1014b66a8154daecb9036155505f6082c1",
"mainChain": true
},
{
"boxId": "b261d4c2c017711d0b74b3c2c3c5fb5bcfd200762e65e440a680fb9e7242a7df",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 1,
"globalIndex": 35763942,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2]"
}
},
"spentTransactionId": "31b3fa0f575968e6120c81a3fc4b65c725853f73f6698e4352a376adc1e71c74",
"mainChain": true
},
{
"boxId": "a659ee014e904960a98947ea7a36946d5aefa2e6021e5add2534ac2596432b3a",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 2,
"globalIndex": 35763943,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd]"
}
},
"spentTransactionId": "8d16a7d9dd39b0af87f6a566f55133eea2a1bddf649e3fa05c8f51a24c2f8d33",
"mainChain": true
},
{
"boxId": "793ab95dd923a6aae4c99fd0f43cd186dcda6d27cd896f5c9e9584b3836fceb6",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 3,
"globalIndex": 35763944,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb]"
}
},
"spentTransactionId": "ab92027534ff687045d2fb75ba2c23deff855c10e0f1a6cb3e7ecc99ccd16dbb",
"mainChain": true
},
{
"boxId": "5b7819fe53796601739da96a52b08783fec57b2bb27ee5f4f4da07b944034cdd",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 4,
"globalIndex": 35763945,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4]"
}
},
"spentTransactionId": "571c49280708b62cc77790daf3e3ec253768668004a30f236da7cc1648eede76",
"mainChain": true
},
{
"boxId": "f2f7e3ce0f696b5474b75084fc4f615a734b906975ed4410b2fe2d63429d3995",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 5,
"globalIndex": 35763946,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756]"
}
},
"spentTransactionId": "a33aaef541d88ac22cb49cca346ad2431abee1763d428a5d54bac451c8fa7086",
"mainChain": true
},
{
"boxId": "c57006c5a84be5749d415680ea2aa60fa4ba29a08b74144a9f97f62bd97837fb",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 6,
"globalIndex": 35763947,
"creationHeight": 1170640,
"settlementHeight": 1170647,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a]"
}
},
"spentTransactionId": "202a30ee96b90e4a343f1dd60ebc8fe5318d046b816649e0086d23cdfeb8e3c0",
"mainChain": true
},
{
"boxId": "f9b0a0b9bceeb588f8e30feedfcbafb73085699d38fc67a3de42c891bbc5f545",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 7,
"globalIndex": 35763948,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012086e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f]"
}
},
"spentTransactionId": "e09e29eee6291e3cc44775555d9ec9be30b99d4144b703d7c2e36b4f12fb984d",
"mainChain": true
},
{
"boxId": "3bf72e0997878fa7f79d19784e64884542e052a172fec5058e61d573c202af9b",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 8,
"globalIndex": 35763949,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51]"
}
},
"spentTransactionId": "f9b80b8a4533bd00237d872e6ea96bcdf65bcdef66dadf5c0cc49dea8e01e190",
"mainChain": true
},
{
"boxId": "ba9cc026e4fd3d75728c7349b1c0268c768694a3566bba3c46ca654a90af00d0",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 9,
"globalIndex": 35763950,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f]"
}
},
"spentTransactionId": "c9e88c3d6b7e22605d8bcebee5f4b0f7ffbe778f63c2242a13fb41e2b6d5df66",
"mainChain": true
},
{
"boxId": "e06446b98305386310a42b1984cd3db8808e59beee677e21c4873d012cb3d29f",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 10,
"globalIndex": 35763951,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012084598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d]"
}
},
"spentTransactionId": "cbec7e0e14a239c093fcbf83c488b05c67fc8725d36af22a107e926488de3391",
"mainChain": true
},
{
"boxId": "da8661ad4c38c446ad4b0b513dda7ee4211e1dfccb4130dff810349820435554",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 11,
"globalIndex": 35763952,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2]"
}
},
"spentTransactionId": "b91df3d1e6797fca61f80433eb36b8123f555ed60e212a3a7a5dc1a27d6f975a",
"mainChain": true
},
{
"boxId": "1f6e82b4cd596ee0d0440f9d614fcdaa82232f86180985c45a9aa1e437f407bb",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 12,
"globalIndex": 35763953,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794]"
}
},
"spentTransactionId": "94ff39763a0d332d13dbfadc024e8991ec376e42ca8c7e11085a1615db6655dd",
"mainChain": true
},
{
"boxId": "32088514e011c638d4ee5229743adad52dab7bafcfb3047925b87eabab276e12",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 13,
"globalIndex": 35763954,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9]"
}
},
"spentTransactionId": "5f96afeb2c99ba7c323087fb990f7eb8491cb8848a3307ba16654708ab8baaeb",
"mainChain": true
},
{
"boxId": "6de4111c2576cf0d68effd270d6e5accff3b4b04612974af0f045b4d9f253f0a",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 14,
"globalIndex": 35763955,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc]"
}
},
"spentTransactionId": "563ef0822aab920f9e74ce7473a66e83e7a7a10766ebcd6a9f9f0295e5ff1919",
"mainChain": true
},
{
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 15,
"globalIndex": 35763956,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22]"
}
},
"spentTransactionId": "a7f31854e0fe99f67b149e9fee5fdeb504d1286aa137272fdf64d7edf68ebe50",
"mainChain": true
},
{
"boxId": "232ac7b1c12f7e2dc4af711b7f6d17d64ba37150ecc18eddd23ef8eae78700c6",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 16,
"globalIndex": 35763957,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": "A9fBWPAmCk62kmZS6amXrSsebAaLNC5GtYCTtAES6EZVJsTD8Eh55Uj2yrA1JRVTfgxC2WhtaySsfVqSV75ynUGfefCqjXyGfJQhTMZUrA6tmDroj1erQ5tptzJrS9vX2MQ2t6XmZ4uQcmwzn9yFHsVMoWagJ6aHigL8ydhr35BB1nwjHfRFZWjG7QuHKx4yvsMSkd4Mh99NXXZaHKeoBS1Mt3bXqW47ZNYfWW2iffq1yDyHCkMzhKUS6WnWxP25kV9oW4ZcDersqDdn3CHv89ZECX7w1z6tm4o4tg5DYsdKnJe86aJNbRvLuKK1CTffgMuxzMkbNT9NNWoyxTcdAkMq4NxGmFZ92t7PBejyZFC4jRApWp7Emyk8pMW2YemKuKYgvNPZZApWEKeYzZVAi6WYb4aHnfP9WWK8Qwofge7qieVFY1nWdxR16ErJGzHAXGAKmboL14YqHeJaA4YCeYDJA58Qx4G1q1pAn6752uZqeJzu4DSpygpUwQ1yNZAQkCLBxqsLygmGY3EY61cahcnqXwDaARNKo3ymLztWmWcY1VPeMAD6CfrBPfNsNEX7kwVKupVrBhcSfaAfiMnpSviYdTQiTRrcgSbQTomWDNzFHCJ2yLpMAFHzNgutasySqx88qwkjgfNv7JePNu738pvvPTGJ7XnANf",
"assets": [
{
"tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012052b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43]"
}
},
"spentTransactionId": "8fb3920254559e0dc397e7f16ea6ef01673c908d2215fe39454b8d9aa52e503e",
"mainChain": true
},
{
"boxId": "bb37ac9e11c35fbab15e934de163a6dd8b4fb813ecaec625d3420b7ec9fbedeb",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 17,
"globalIndex": 35763958,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a]"
}
},
"spentTransactionId": "e6a903c0b3306bcf216f18e68e81799ab1d760058ba40e748e6c72a0819527c9",
"mainChain": true
},
{
"boxId": "7bc1ceb608ac0e9216d6374771c427db1ecdc09c05a3203f3e6b8c353f2eb241",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 18,
"globalIndex": 35763959,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2]"
}
},
"spentTransactionId": "dbc5dbb1365d8168ea2e8865cfa0a963e6431e7823225a9adb02fd745edfebdd",
"mainChain": true
},
{
"boxId": "b881d866414ce756d4f12b590802a2aa81d19af21ed095054b4bccd391a0c9d1",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 19,
"globalIndex": 35763960,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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"
},
{
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"index": 1,
"amount": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951]"
}
},
"spentTransactionId": "97f5af53cf1967356bc89c9c3c36a6b3531999923791d14d9998390b259103e6",
"mainChain": true
},
{
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"index": 20,
"globalIndex": 35763961,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9]"
}
},
"spentTransactionId": "3ba58ea3acf9f650f556bb5e71363360afdedb35061cd536ed72c2ebb4214dff",
"mainChain": true
},
{
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"value": 1985964,
"index": 21,
"globalIndex": 35763962,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079]"
}
},
"spentTransactionId": "00a261f0ccf605edacf88a2867ff5ce882a6dde0fe76c11d682bb84669dfdb22",
"mainChain": true
},
{
"boxId": "858abe8d7051a59bbccf6e06a39e0082cf1ea3e57726e6a1456b683a22930bf5",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 22,
"globalIndex": 35763963,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e]"
}
},
"spentTransactionId": "ed8210a3e731e0864ec0f8f4483c832a5c119297e0f56fb8bdae8892c824745c",
"mainChain": true
},
{
"boxId": "a0581d74464a0bcc7342a097087ce9d449f8cd27458813010d791bc6e532da42",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 23,
"globalIndex": 35763964,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9]"
}
},
"spentTransactionId": "b3becdc77cb6f30e57cd7ccb8042fa38b7b36eeb0347c4ad5962abc420fe0368",
"mainChain": true
},
{
"boxId": "cf6d3730e7293b4b01c1005a4b90ad0298bb0bf0e2a9b960d9be6fdab9034ae4",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 24,
"globalIndex": 35763965,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684]"
}
},
"spentTransactionId": "86f22b9caa0f65e26df96685a48b8744d0731b7598d95e340956178d317340bb",
"mainChain": true
},
{
"boxId": "c21b1b214e22b0cc94dca7578de0dc7043f2ce5c188b55a9f126592aa6089d33",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 25,
"globalIndex": 35763966,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": [
{
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"index": 0,
"amount": 3000000,
"name": "rspv1CardanoRWT",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106]"
}
},
"spentTransactionId": "efefadf04cc4575e10f2ba313c0f3bda497a721365ee16c9044de926c05a1933",
"mainChain": true
},
{
"boxId": "f14f5705eb691ed0e95a88e2bd30473bf31250b95c0ddbd7f663951b486ed6a4",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
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"index": 26,
"globalIndex": 35763967,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5]"
}
},
"spentTransactionId": "4652a57f73173f123b1d3c6477bcfb55525c9bb5271b7a5f300feac852676cb7",
"mainChain": true
},
{
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 27,
"globalIndex": 35763968,
"creationHeight": 1170640,
"settlementHeight": 1170647,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd]"
}
},
"spentTransactionId": "2fadf7adfa272373ce2f1e420b3c985d346edd4f9bd5e866e7f83a05e32607fb",
"mainChain": true
},
{
"boxId": "e836143f74f811eaf6266da92623cc8257e5e95b6f70e959b541ed3a640cb1e2",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 28,
"globalIndex": 35763969,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01201db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4]"
}
},
"spentTransactionId": "3742d5c9665f414038c0ec6cb5ec99391f1e29f9029e539541c810e1d2187c14",
"mainChain": true
},
{
"boxId": "4cd1a1c73513615f73e9f2b4af5fe7d9bb91d51f7bd2a4fb026b354285975f2e",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 29,
"globalIndex": 35763970,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161]"
}
},
"spentTransactionId": "9a7ccfccad2cf6d170c7bc4738af9ebdaca26dc2187b05395bb6196d19812e22",
"mainChain": true
},
{
"boxId": "fd470d7ed8ef19cea96977b7888dfa62cd3c6ea149080adb4e95a9d4af53c000",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 30,
"globalIndex": 35763971,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712]"
}
},
"spentTransactionId": "7e50d3eaf50dcacaf0f100969f98360a940a776b8aac66efeb812ce9c7ad80cc",
"mainChain": true
},
{
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"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 31,
"globalIndex": 35763972,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012053a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323]"
}
},
"spentTransactionId": "f27b0eb8696a17291498d029043adbecf49c313f35e4497734361abb4c0058a6",
"mainChain": true
},
{
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 32,
"globalIndex": 35763973,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407]"
}
},
"spentTransactionId": "0c326209e4a1c430841a97a83ef5a3781dad2724af31dabd6834905b9f9e5c04",
"mainChain": true
},
{
"boxId": "6d10d9764843daed8eae6203d834955cd2dc3d54db9f648f74c863ae2a02eecf",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 33,
"globalIndex": 35763974,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a]"
}
},
"spentTransactionId": "381d871bf5e0c5e19c507e33da0fab8752b6bccce069e78b52cc106b9de51d90",
"mainChain": true
},
{
"boxId": "e29874f17e2e0e6be4fc30e2a41d4862603d01187ef594841e80d579d05613d6",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 34,
"globalIndex": 35763975,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8]"
}
},
"spentTransactionId": "cb03ca9ce1be811829260569109452270d67be4ca4b162da5924d96c77a5ab22",
"mainChain": true
},
{
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"index": 35,
"globalIndex": 35763976,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1]"
}
},
"spentTransactionId": "1bfff1ce58438d2d1fb7ec07dd6f62d24fd4ea91218ccc0c91aa05485788d74a",
"mainChain": true
},
{
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"value": 1985964,
"index": 36,
"globalIndex": 35763977,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb]"
}
},
"spentTransactionId": "0978a1d521b90adf4357d1336f59685d89f0163285f0e74648151fcac3561c91",
"mainChain": true
},
{
"boxId": "0073cb62a5fd11b55e8ed236bef4abee0f898108d6b5b4b3c07fb2eada5b9866",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 37,
"globalIndex": 35763978,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb]"
}
},
"spentTransactionId": "aaff322b0fc0f7af63175843f68c1dec235eb79bdeb5ccbf4971daa9970da4d7",
"mainChain": true
},
{
"boxId": "8e92ddf6ff144c5cd271e61009cfe4465223251b92f85f4d1c72e93f7553c666",
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"index": 38,
"globalIndex": 35763979,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba]"
}
},
"spentTransactionId": "aa3c8429fc5934d671f2669e17b7ed24878c29dd2fa55527787d970ba4696731",
"mainChain": true
},
{
"boxId": "1e7f3ae53e1c882af9feb735f5d093645e626e2711fb3fcce808b81044dc8d2d",
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"index": 39,
"globalIndex": 35763980,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478]"
}
},
"spentTransactionId": "75c08af3e4bac8aebd13c88657ae7968c6ae0e82bc9134d4efd5e809f36ea303",
"mainChain": true
},
{
"boxId": "f81e04c15e2e1254ad9cc2156f55552dfcb0ff4356c4c8651694ac0d5591c057",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 40,
"globalIndex": 35763981,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb]"
}
},
"spentTransactionId": "96d1c102f8079150d851bdb468d00af0fedee9e85d090870a93bb87f5528699d",
"mainChain": true
},
{
"boxId": "54f5e94b4fa4077158a6038b14ecf399c39d566fc8a87a6750f09ede7b2d8868",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 41,
"globalIndex": 35763982,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012096da61372142ca01e79384414f682753315c2270f2585f8af697d05f1e792e11",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[96da61372142ca01e79384414f682753315c2270f2585f8af697d05f1e792e11]"
}
},
"spentTransactionId": "5290c6f8c795b773dce3f4570499bbbd3b7553e24ffa8c171269189dc12bb62e",
"mainChain": true
},
{
"boxId": "6ecd29e7d8bc03acaf88c12edf12105b1a8a013eb7fe1b243de432b5d9c07071",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 42,
"globalIndex": 35763983,
"creationHeight": 1170640,
"settlementHeight": 1170647,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154]"
}
},
"spentTransactionId": "3f4006c76f7bcebbd6fc0ec037c7aa7fd8b024411ec1f18c4a45778df37626ec",
"mainChain": true
},
{
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"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 43,
"globalIndex": 35763984,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68]"
}
},
"spentTransactionId": "3625b4804274898a5139c17875fd63b207b9371ccaccce6fa9333eebbaf1b16b",
"mainChain": true
},
{
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"value": 1985964,
"index": 44,
"globalIndex": 35763985,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1]"
}
},
"spentTransactionId": "d4fbc4db8021bdd85d89147c1e1aa0e9c579a1a8c8747918ab71b8e41b8c6aab",
"mainChain": true
},
{
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"value": 1985964,
"index": 45,
"globalIndex": 35763986,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c]"
}
},
"spentTransactionId": "3e0f7825b8cac804de9853a5956a7ee750f7bae297cc80947fafedb5b2dd335b",
"mainChain": true
},
{
"boxId": "63e6ac8ef33322bc7da3950a21b06a4584ba23e843a027e9f7670c64e42b6de6",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 46,
"globalIndex": 35763987,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01207871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[7871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09]"
}
},
"spentTransactionId": "1b0e4c292756c4b0eefa1788f629db3adc37f6f441625f7cf99b22606195bf09",
"mainChain": true
},
{
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"value": 1985964,
"index": 47,
"globalIndex": 35763988,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958]"
}
},
"spentTransactionId": "4fc3c261a51fa267666b52dc00902cae8114bf653079fef69099a9f8af77d448",
"mainChain": true
},
{
"boxId": "7c8e5e7e205b8c860853523e67574498b55a5b2bd21d13233be5dff7765fe164",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 48,
"globalIndex": 35763989,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03]"
}
},
"spentTransactionId": "8d9151694764cd5e819b8f4bb645bee5d3b14ae44292071b6be946c3ad0e895a",
"mainChain": true
},
{
"boxId": "2c3dc44823269a42ccdc97c6a17de669c3b787e92e940d13d58da63e147cb722",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 49,
"globalIndex": 35763990,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c]"
}
},
"spentTransactionId": "ed10c018f73ad0883198a2e1958c310b894ad9357c7cd62c45f633a4e065029e",
"mainChain": true
},
{
"boxId": "df526b93d04d3951361f934ec2264c42e0dafb2fdb071d6f51249c4518d4f677",
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"value": 1985964,
"index": 50,
"globalIndex": 35763991,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c]"
}
},
"spentTransactionId": "494ee00dd556e1d190fc6a9f4c6b561f1991aa6ec01a01a636186db3b9eac0bf",
"mainChain": true
},
{
"boxId": "3b0024c3c7612dbab024c4dd69beb95203277731b42bc92765058c4a5dbc2d45",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 51,
"globalIndex": 35763992,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726]"
}
},
"spentTransactionId": "cd90b4c3464dfca6cb4796a79cbae9eb058da6b372b2a2294282725ccba1d3d6",
"mainChain": true
},
{
"boxId": "1cff268a057a51e0682890c633aa3b6ed0e65aaf2893b66f35704292b1614336",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 52,
"globalIndex": 35763993,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
}
},
"spentTransactionId": "0163693254219dac98f3801e02488c0d94491cff15bc0dab3208307fac259443",
"mainChain": true
},
{
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"value": 1985964,
"index": 53,
"globalIndex": 35763994,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766]"
}
},
"spentTransactionId": "de0cf0ae9fd2d3ed2a27010e61f094a52e172cc2f5f0b45883c84393ea308c1b",
"mainChain": true
},
{
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 54,
"globalIndex": 35763995,
"creationHeight": 1170640,
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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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01204acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f]"
}
},
"spentTransactionId": "0346b4c25821ecde2fe0e9ad735b2fab230294e5e6ee279245c46b9f22e3a237",
"mainChain": true
},
{
"boxId": "467451fea23bc689762659d5d5bab78e8e83cbc94d1d46fc84b73ad888150e9c",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 55,
"globalIndex": 35763996,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152]"
}
},
"spentTransactionId": "34161c4916fcff0b27f9f567866c2a16082739a2b4d6a6654094e9289f12028e",
"mainChain": true
},
{
"boxId": "f90e3900b5e329fa3738d43e6b8e56edd44c8dbf8ae768baf562a7268eb771ad",
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"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1985964,
"index": 56,
"globalIndex": 35763997,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012064579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec]"
}
},
"spentTransactionId": "14d273589d7eaef8534993673c987c806e6d137a9d67fae0d1ce10cd7073e0e6",
"mainChain": true
},
{
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"value": 2000000,
"index": 57,
"globalIndex": 35763998,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": 1219,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01202b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5]"
}
},
"spentTransactionId": "f73425f79fe9560fd7be66b2fe1a8f4a981f46da248bb96f4d5a2991391abd50",
"mainChain": true
},
{
"boxId": "3692792e775e2794723080ba5f8ae8b499a3bda063d17c9942110639ff8e667b",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 6097860976,
"index": 58,
"globalIndex": 35763999,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "065fcce4602c7ab42f07b9cd2f2c265d8f38126ef3ad57699bc80591e6ce42b0",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 300000,
"index": 59,
"globalIndex": 35764000,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"ergoTree": "100b040c08cd0259628343776a0b49ac1c7531f1851ba7de5218d4c8510b75386ef3a573a5bee608cd029a17879f66c30f02c2b657437109e3b2a7ae9b46f6486a014160423d51d3405808cd0306f0abe9f4844d7629d3399fc5e4f731f343d6fadf30bee4335499a34c75fd0308cd0337c2acf0359ce5aec47cabc973ba418f7e0b7d6d3b03971ef2a10755c8938b3108cd033a97ce8a9962e2b10ba7c2890291ba12f97c3eae33aceba19498cd6d4c8a9cba08cd035a2369494cef632aa1dfe8f3a2a0448dc3e54c849fc8e48182d7f01b82b2c0b308cd037631efb8af48ba43e2c76dd6cdd506f6a9eb0e571a5ff168630f31955ea9ad2e08cd03a3c11c6611ba43f01c457d5c68779d76a486d16ca56604fed1f6c3553e7befd608cd03f3c19c8b425305faecfbaf62b56c0e9bc6ab74a61b1d4633c2b68e2b87a5964908cd03fefff9007e1b972d37718c3b247d1e7c8285656d7af224f55814cce9413e8a1b987300830a08730173027303730473057306730773087309730a",
"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)}",
"address": "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",
"assets": [
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 0,
"amount": 30346,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 7300000,
"index": 60,
"globalIndex": 35764001,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"ergoTree": "0008cd03b1a7c9c96b492460a840b5cc5d90018f456c865edd298dd00ba9b94406e60100",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b1a7c9,2e70cc,...)))}",
"address": "9hp3fH6LkT5tkKqrYUXX4J2D1TEYcBht62RhU6EXnSXCdrBH5jQ",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "e53060eba533d63d1087e28d13796d33cbb27eb2f30b8437a234d7276f5ab889",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 243895739024,
"index": 61,
"globalIndex": 35764002,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"ergoTree": "0008cd028c458de2365c9c853f2292ffb1530b6e710fce0e8f37e0845a7cbe6f1a77c622",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8c458d,76a01b,...)))}",
"address": "9faqZrT76n3RMBL7a38Y4xDkAD1tfRNdPhrEHxMnkVoPk1Mz7eF",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "b82ceb7a53d8885b7765984c05642b526f1bb288d32c94b388c64630ef897f20",
"mainChain": true
},
{
"boxId": "5a74d67ef767b505ecd3a417bf7edcf81bd7ede7425a15738a57f0d898d9aaaa",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 61095773948500,
"index": 62,
"globalIndex": 35764003,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"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": [
{
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"index": 0,
"amount": 66395133140,
"name": "rsADA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 1,
"amount": 50681936044,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "ee4441f92d0ca0731f5de3565ab43498d7afe4dbbcd3f6feb67b2194324487ea",
"mainChain": true
},
{
"boxId": "5acf50ff67596580aeb492b61a6d9820a1df20d76ee9c87efe2c223b39298f43",
"transactionId": "e82448726a356b3737c0880b22b152f7a302dd8e5565533ae02e92800145f776",
"blockId": "c4c8604fa95e84102aadd280bc2a4013ad0a29aab4fb819873f8e391f6042554",
"value": 1100000,
"index": 63,
"globalIndex": 35764004,
"creationHeight": 1170640,
"settlementHeight": 1170647,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "73382abec95518e08d50dc64a9063db96e2dbc382edfb7d8b332affb165de439",
"mainChain": true
}
],
"size": 33585,
"isUnconfirmed": false
}