Transaction
ID: 6f8d5afee9...da42
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.95 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
194.34 ERG
Tokens:
Loading assets...
Outputs (14)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.8 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
194.5 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 769,875
Total coins transferred: 197.31 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000184 ERG
Raw Transaction Data
{
"id": "6f8d5afee9dacf424eb5a6ffd20c4a6c3afc0df3f878c8bda3e899e6fbfcda42",
"blockId": "639c38baee83c2baa3e887feee6145affcb91970dde5a5e59691ab328090849f",
"inclusionHeight": 991830,
"timestamp": 1682638018940,
"index": 18,
"globalIndex": 5109152,
"numConfirmations": 769875,
"inputs": [
{
"boxId": "c4a2abe0e2f5ead34df8ef5ab5f588dae49536fd360f072cfb0f6f0d3e4ef8b4",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "51872dfe44c5aa6bc8495b72024ae01475e01bbc045e43e748102a6df5c0d6bf",
"outputTransactionId": "05d79cc24a38e376ff9ce3095787eddd1e5950caf92e3eb9407c8a0a24b23865",
"outputIndex": 0,
"outputGlobalIndex": 28634201,
"outputCreatedAt": 991774,
"outputSettledAt": 991777,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-103,111,100,62,-106,73,90,-53,-85,119,-96,126,40,-118,13,3,-106,16,-88,9,44,-95,-47,92,-86,-119,-103,-19,-107,-85,81,-110)\n3: 1\n4: 0\n5: Coll(52,67,-107,5,85,-58,8,-118,75,63,-67,-103,-72,83,-95,-37,-119,118,92,-100,123,-29,24,-90,19,77,-78,-18,15,-114,-53,-54)\n6: 7200\n7: Coll(43,-62,101,33,114,37,29,97,92,1,-33,-22,-90,105,-107,67,5,50,-27,-81,13,83,-74,3,-80,-113,-79,-84,54,121,4,-33)",
"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)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qkvYUFMVCVau8CwPYUt3BoDtgJvvFnsw2bLmNZN8ZVV3cTUJFCTRnnyD8fHscr9P5rrXJNwX75FuqoPnfbocy7JaSrRZszkJgsFcTHqB3wGuWvSW9K4PFJmgpC4LX32TaNSfi5opXMp3e3tULzez42Qqce94YnSxsdxga5zvRL7g12ziVVEuTApwamEAQQ54gvmeceXUu1vkcYgwdPasNZsTzTb3Z1zGoGhtpzjuKbPcwhnmeb6CW9d9XEtG1ZVF3k3eEMLoeJJyoUgNWu2PttvXxhKe9V6p5N41QA3HxkvnH4DBs8AJKvFxBPFW7Q7Ucxv4R8ST4BqbcVzKuSen2jfYD9MGWGrGtTkMAzh",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 10,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00,72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288,a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01,324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc,95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6,94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057,9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6,de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11,c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded,a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39656135356134376632316162396534323336333934343235386161333463363462333465323465316165383561333365373061363837616638643135363030,6572676f,63617264616e6f,3967395a6465727273396179467961796565644359437165425a4d354554346564704759337a48316d5670514a53555a74396b,6164647231713877686765673275753230756167793563636b61677378636a75746d34363665747064737a75306a646a6176703465787a3664736735746e6a71397563713377736c6a6a6c79673033796e6771646564707865337a706a76686573686c30666c6b,00000000b2d05e00,0000000077359400,000000002faf0800,657267,61737365743165707a37677a6a7167357079347872677073366363763235677a3767643676386535676d7878,65326434633039663466623137313363363364366266653565373936616462363336393632326339626562386363363330663664313437316430616338323537,00000000000f2200]"
},
"R6": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "9ce2dfac8143cce92eaec7236375597bb75c13774f49a1a872912af5414eec82",
"value": 2950000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "32d1fc35074d175f7587b4719d88a7b3b89151369a633a78cd5988035896d4de",
"outputTransactionId": "f7b2e89c337d1bf83f9b2998be669192699f4837ed432976bba9339f2864914c",
"outputIndex": 0,
"outputGlobalIndex": 28633363,
"outputCreatedAt": 991748,
"outputSettledAt": 991750,
"ergoTree": "100304000e206721f30af5d1063bf0fd7dd2842e55f419bc79f4f1acb664352f2a02cc3c50170400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(103,33,-13,10,-11,-47,6,59,-16,-3,125,-46,-124,46,85,-12,25,-68,121,-12,-15,-84,-74,100,53,47,42,2,-52,60,80,23)\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": "nB3L2PD3JXHPkNza7R4acW1bLX4tWLU8ou6rvFZnVnmu9SUMA57RFsnE9u5ZF9hKbox893JPvxqTZwmg4HxkgNNr5Z5fu4oycyErt8B7Q9UXbBLSvNtxerJT5uL3yBGksCtJGpyaMZzjf",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a050763617264616e6f67616464723171796a32796b3832776a646b777a6e727777656c373978766b7068676336326e777970617a6e71677772753366706133736d767430726b7377373673667178346470766b6464656d66343768766730773776776d6d64397166717671616634343538093830303030303030300a323030303030303030303339666d67385070326636777a76365150637a635879426355487761665345516f6f73524c41546457726a417851413563794243",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,616464723171796a32796b3832776a646b777a6e727777656c373978766b7068676336326e777970617a6e71677772753366706133736d767430726b7377373673667178346470766b6464656d66343768766730773776776d6d64397166717671616634343538,383030303030303030,32303030303030303030,39666d67385070326636777a76365150637a635879426355487761665345516f6f73524c41546457726a417851413563794243]"
}
}
},
{
"boxId": "91a600801b091432305b16aa863af0eaab0cc36505d6a62ef705ca9d3d035fbf",
"value": 194344921100,
"index": 2,
"spendingProof": "34d3b1e7ee4d4e09340e7bfe3e5de00ef16909a8fa5905fe0f2e441ff03f92f033bdef8785e1673b702a9d9968da155f3009d3fe1381b1a60e5f14b0b7c760c9ef22b24b8a1a4397645c87547d938fc4ba1d317fc31989d16a98bea4e883d4597fe871db1ca5b18119d7ebb282275663c9a84488cfe6f03d4cfef91d12a3ea3e9dc3d2585b241e603cb2d78d6d93800d3cf19532a584814d5bbb598f0d61dfa8f85785d113004e02d827de4347bc2bd5ba41f3639c0e2461dfa45c1acf7d30e5db422bac6a89cd6bb06b42a7f388971749a34aeec1ee873845061f52e855413b609e7aaa8ee0a8d7fcff061fa226877523a160ebb7fcad40882628383d6d8e470c62fd612dc0d1b72d2a29e4891ec4dd92e137a8bda9e6f4de9bd55ce61be7a54b9fb8673620ac7bef15b9e548deaeeca81f712b4c1789de4e57ef7ee49e503dcfeed90ad3ac557d4b0090a57ee2ef13309ce5e365fbb26322947d374de500775972969127eba89d6a1201b603e7a66cd3e0425dab17ffd0cef18b454ef4f1e7fc32b6acf7ba41a3ebfb5bb4407cfcac56e0146676b60c5209391ea6e656c844",
"outputBlockId": "2026faf037b918e3c42d31146248d3d558da6b0afb06dcba20f8d625a26984fb",
"outputTransactionId": "0ba702c5119f349a67e52cf5cfcbf6d633960209deb2d6ad5aee2b6089d85b31",
"outputIndex": 12,
"outputGlobalIndex": 28635225,
"outputCreatedAt": 991818,
"outputSettledAt": 991824,
"ergoTree": "100304000e206721f30af5d1063bf0fd7dd2842e55f419bc79f4f1acb664352f2a02cc3c50170400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(103,33,-13,10,-11,-47,6,59,-16,-3,125,-46,-124,46,85,-12,25,-68,121,-12,-15,-84,-74,100,53,47,42,2,-52,60,80,23)\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": "nB3L2PD3JXHPkNza7R4acW1bLX4tWLU8ou6rvFZnVnmu9SUMA57RFsnE9u5ZF9hKbox893JPvxqTZwmg4HxkgNNr5Z5fu4oycyErt8B7Q9UXbBLSvNtxerJT5uL3yBGksCtJGpyaMZzjf",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 2905500,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b37bfa41c2d9e61b4e478ddfc459a03d25b658a2305ffb428fbc47ad6abbeeaa",
"index": 1,
"amount": 999996226966943,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "38cb230f68a28436fb3b73ae4b927626673e4620bc7c94896178567d436e416b",
"index": 2,
"amount": 44999999846774600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 3,
"amount": 59274485,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "c16cb890e4618a81bea625a417e6909efdfb98db47a96b95dd4a5699b3b13808",
"value": 1100000,
"index": 0,
"outputBlockId": "fd1afd59b60dfdc4e707b67718f93633e6f60e0b00ba285103194eaf9171ddff",
"outputTransactionId": "409dfa439c0e491bc91e6a6e23d4fcc508ba29b8eb07b4f17fa17cdd83235592",
"outputIndex": 0,
"ergoTree": "100804000400040004000400040004020402d803d601b2a5730000d602b2db63087201730100d603b2db6308a7730200ea02d19683040193b1b5a4d9010463d801d606db63087204ed91b172067303938cb27206730400018cb2db6308a773050001730693c27201c2a7938c7202018c720301938c7202028c72030298b2e4c6a70510730700ade4c6a7041ad901040ecdee7204",
"address": "ZHQv7sirtH5bcQcufBrCqwqsm3WZ2QfDrgpL846EwqV3ve3CA4Mqbkmn6zXACxnJZVfeC2wkFYS3tszxAR2TiRaoGx8rJSq8UhE3aenAu5m6FsoJuofkV5DVGLsmdsJUsBotMHTMvpCDrPQMAGDmUG35cCQNLPE36gJ4MDDH6hDBuuGjzF8nUpXLY2chWAjeYA4ucx5DQbT1BhSb",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0265764aa1ec6d626bbc6ebca99354a1d92a1a95ecd454e91b05f432ffc6b79723,0342f5aad401b384b1525154770865b7a58d0a71c725a4f1689388b68fd0e3dc90,02366b41d22ee5ec985d646cc70e9ac284042aa26e7bfefbe210e8e519be2b9a6a,02e0fc1f874de7665ab4e7b22601265a57b060af06b7c7f3ca74f6a61816feb65e,025bf001d02a181f142ae6e94cd34c5e39218158ac9338af5bdfde7ea56f6ce54b,027bf30821d6df2481292da4c8543958e7ea55eb6bc06c0ea0832bfaf458927a36,027e9ffb8bdfa88c5ad491337ceec60aaf61dd29721bd66be083abfae374e91b78,02caef9318a6a36960beb5c1b33a32ead3ddb59dd9f74a71e4f08b06c35fd242fc,02bda50ab2186f64751c6eeabcf268ecfb9600835d2a7e7ef763a30fd443f50bc3,026c65eebfba3b6056facb508459caacd8573118a29c0a0aa866dc8f8e6bcff9b2]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "c56ed5a3d129f9c627bcf8a78a8c4deaaddeb0a346b0de33c68feab2ab33760b",
"transactionId": "6f8d5afee9dacf424eb5a6ffd20c4a6c3afc0df3f878c8bda3e899e6fbfcda42",
"blockId": "639c38baee83c2baa3e887feee6145affcb91970dde5a5e59691ab328090849f",
"value": 300000,
"index": 0,
"globalIndex": 28635418,
"creationHeight": 991824,
"settlementHeight": 991830,
"ergoTree": "10130400040004040400040204000e20a599bb94b230f8d3ac94856ab24c31b235ab493d3415097102916c600fbbf9690404040004000400010104020400040004000e20e9efb07c96c8e70dd8946638729c6de4b58856f59f46c5a5b1699632b4aea3b505020101d807d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db63087205d607ae7206d901074d0e938c720701720295938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095720796830201938cb27206730a0001720293c27205c2a7730bd801d608c2a7d196830501ef720393c27201720893e4c67201041a7204938cb2db6308b2a4730c00730d0001b27204730e00957207d801d609b27206730f0096830701938c720901720293cbc272057310e6c67205051ae6c67205060e93e4c67205070ecb720893e4c67205041a7204938c72090273117312",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 1,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00]"
}
},
"spentTransactionId": "b57f21680e594658a6788d69424b0e9de35db89dd1cc46b6d15c426604f72631",
"mainChain": true
},
{
"boxId": "c4d64f70dc0911c5905420ecda753604acfeabb586827bf9ccedd035965759a1",
"transactionId": "6f8d5afee9dacf424eb5a6ffd20c4a6c3afc0df3f878c8bda3e899e6fbfcda42",
"blockId": "639c38baee83c2baa3e887feee6145affcb91970dde5a5e59691ab328090849f",
"value": 300000,
"index": 1,
"globalIndex": 28635419,
"creationHeight": 991824,
"settlementHeight": 991830,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 1,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012072743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288]"
}
},
"spentTransactionId": "1ba459abb3f1ad9d7896c8a43d5d8421101501b723fbe2612b901a7f4c15d4c1",
"mainChain": true
},
{
"boxId": "8d4183c511dc4ff2cec88aa10564dd42dc77282132635b03550e8ba529663880",
"transactionId": "6f8d5afee9dacf424eb5a6ffd20c4a6c3afc0df3f878c8bda3e899e6fbfcda42",
"blockId": "639c38baee83c2baa3e887feee6145affcb91970dde5a5e59691ab328090849f",
"value": 300000,
"index": 2,
"globalIndex": 28635420,
"creationHeight": 991824,
"settlementHeight": 991830,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 1,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01]"
}
},
"spentTransactionId": "0535b97518d29f78a12ce0c7c9e9e425fb78d341d1e98e7824779e0399ef143c",
"mainChain": true
},
{
"boxId": "77121d9be18f0a1c691e3594d222426095e003071509c40a93717e0ac3372eb5",
"transactionId": "6f8d5afee9dacf424eb5a6ffd20c4a6c3afc0df3f878c8bda3e899e6fbfcda42",
"blockId": "639c38baee83c2baa3e887feee6145affcb91970dde5a5e59691ab328090849f",
"value": 300000,
"index": 3,
"globalIndex": 28635421,
"creationHeight": 991824,
"settlementHeight": 991830,
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc]"
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{
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"settlementHeight": 991830,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6]"
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},
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"mainChain": true
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{
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"index": 5,
"globalIndex": 28635423,
"creationHeight": 991824,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
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"R4": {
"serializedValue": "1a012094b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057]"
}
},
"spentTransactionId": "999def74118d84532e876c5cfc24986cbe03027474984498717ffe55d9c19840",
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{
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"index": 6,
"globalIndex": 28635424,
"creationHeight": 991824,
"settlementHeight": 991830,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11]"
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"index": 8,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded]"
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{
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"index": 9,
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"creationHeight": 991824,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"index": 0,
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"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"renderedValue": "[a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3]"
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2debce,690fa7,...)))}",
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"name": "RSN.V-test2",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[979e36618fa0aef49c853c59f487f9d9c408288457ea6aee9fa0373db13d6f18]"
}
},
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(12b647,3ff520,...)))}",
"address": "9gc3fXXNE4VrMEsGd8UUxEc5KzHMJEKJeKMRqkVmeXS5wtxEsMw",
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{
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"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n )\n}",
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"assets": [
{
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"index": 0,
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"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 999996226966943,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 44999999846774600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 59274411,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
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"spentTransactionId": "9815851a7887e844f2afee8f0f01d3b7c335c32f2929f669fcbe88fc08915973",
"mainChain": true
},
{
"boxId": "6ae77c8cbc5cd6586f69f8b1ff5e2b0232b2392382a31e252f0e7804c27aa033",
"transactionId": "6f8d5afee9dacf424eb5a6ffd20c4a6c3afc0df3f878c8bda3e899e6fbfcda42",
"blockId": "639c38baee83c2baa3e887feee6145affcb91970dde5a5e59691ab328090849f",
"value": 1100000,
"index": 13,
"globalIndex": 28635431,
"creationHeight": 991824,
"settlementHeight": 991830,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e13a50623f01886b413880b52a0cd588b30c14d663e1eca22ba206cf69c316c1",
"mainChain": true
}
],
"size": 5972,
"isUnconfirmed": false
}