Transaction
ID: 1ff79a4e4a...4644
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.9 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
218.43 ERG
Tokens:
Loading assets...
Outputs (13)
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:
218.53 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 766,171
Total coins transferred: 221.34 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000199 ERG
Raw Transaction Data
{
"id": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"inclusionHeight": 992372,
"timestamp": 1682705087251,
"index": 28,
"globalIndex": 5115357,
"numConfirmations": 766171,
"inputs": [
{
"boxId": "d273f42bf7d06619436105cd5a8ea6ec95e5b863b9d1fee8878686c7e8838bcf",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "bc83d3cc0a8aa3a4abc1d388a3dda524fb2e04c2939522eb042daf4184a4da4e",
"outputTransactionId": "23f9705725218a9ff7be0f09ac5437409ccf0b41fe3986314f85d3fa0e3d1271",
"outputIndex": 0,
"outputGlobalIndex": 28661319,
"outputCreatedAt": 992317,
"outputSettledAt": 992320,
"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": 9,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00,de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11,9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6,324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc,94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057,c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded,a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01,a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3,95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39343831333466653034363539316133386536306330303961366634346332393036333063313834653830663739303434653037316630376331346461666138,6572676f,63617264616e6f,39676b3855755651396a5639695646446b754d6e38625959344467654a756e776d72324d6667396f4233595369736b4b46576d,616464723171786d7170786530796b6833356d337939393371746d7137796d6834773077397a377774327076386b356d326b6d6c6d726a6137373934747035716465343361723567346b326a6b6179337278637867796c796a756d7932736a717339777a757338,00000000b1069a80,0000000077359400,000000002faf0800,657267,61737365743165707a37677a6a7167357079347872677073366363763235677a3767643676386535676d7878,35626538393634353630346266333931323539306232363166316236393163653839313936633830666237303062636532613933396564613933623436333665,00000000000f2420]"
},
"R6": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "bd49dcb9c1283751a3447a79ec7d92f8fd7e91e3bd89b471cf0154dcfac99d80",
"value": 2900000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "5af7d7adbe56a182e42bc097c938675af9c1d1aa7169ac0626bb219bb8db2bfc",
"outputTransactionId": "8035e8549766de115945614ed1c18f3d5a1de40f56da7d7f7acfbdbc989440e4",
"outputIndex": 0,
"outputGlobalIndex": 28661800,
"outputCreatedAt": 992334,
"outputSettledAt": 992337,
"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": "1a050763617264616e6f6761646472317179396c703934787a793467326561333677796766683368376663376b33383736336d34636a6d306877673336706e6c79757235787a687634647a6a73397072326137756a6530336e36793972736c6b326837366332363768653471656e716a3838093830303030303030300a32303030303030303030333966624264394c58516d6e6e5a7a4b6475436535413351525a56514d42365175346b4263774e67724352745073534843787339",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317179396c703934787a793467326561333677796766683368376663376b33383736336d34636a6d306877673336706e6c79757235787a687634647a6a73397072326137756a6530336e36793972736c6b326837366332363768653471656e716a3838,383030303030303030,32303030303030303030,3966624264394c58516d6e6e5a7a4b6475436535413351525a56514d42365175346b4263774e67724352745073534843787339]"
}
}
},
{
"boxId": "138445fcf78fea176d57d9674d5538e9007ef583c1c2b75458d729c714c6a5b7",
"value": 218425434000,
"index": 2,
"spendingProof": "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",
"outputBlockId": "b57dc84afd891c2755ad5547e91828a4556ad1134f4c3b1bcbabf1e795b7a91e",
"outputTransactionId": "b6ab11765a578454419cc60bcaa839c8daab5a2fa6ba7c75372a0c35f018783b",
"outputIndex": 11,
"outputGlobalIndex": 28665435,
"outputCreatedAt": 992362,
"outputSettledAt": 992366,
"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": 3599388,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b37bfa41c2d9e61b4e478ddfc459a03d25b658a2305ffb428fbc47ad6abbeeaa",
"index": 1,
"amount": 999995894370697,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "38cb230f68a28436fb3b73ae4b927626673e4620bc7c94896178567d436e416b",
"index": 2,
"amount": 44999999658324600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 3,
"amount": 59272783,
"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": "89412c4bd09751cc5b060b3ae3b019a49d70bc38aa71d37582690ba5b8d630ea",
"transactionId": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"value": 300000,
"index": 0,
"globalIndex": 28665875,
"creationHeight": 992369,
"settlementHeight": 992372,
"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": "1a0120b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00]"
}
},
"spentTransactionId": "5d8de2997d7aa1ff237205282527641282fb538b4c335ed68802f872d8ab9edd",
"mainChain": true
},
{
"boxId": "39cbb005fa074d9f2bec33a49622562ca3039e50699f9fb8665021c49c13391a",
"transactionId": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"value": 300000,
"index": 1,
"globalIndex": 28665876,
"creationHeight": 992369,
"settlementHeight": 992372,
"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": "1a0120de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11]"
}
},
"spentTransactionId": "3ae57059c7d123746580893def4c46524285e641099ed29b4971cd4ab793afec",
"mainChain": true
},
{
"boxId": "9337c944817c6c9484b25831d216b0520f08cd5451f1cced6d9454a076a1a5b8",
"transactionId": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"value": 300000,
"index": 2,
"globalIndex": 28665877,
"creationHeight": 992369,
"settlementHeight": 992372,
"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": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
}
},
"spentTransactionId": "45338438aba447325ce5ff559f39f26d1942971dd8df87821baf893f3c625645",
"mainChain": true
},
{
"boxId": "731a69a7f498ea5be3d127af8f8710e11fa484858a80c47ac82881ec52106a68",
"transactionId": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"value": 300000,
"index": 3,
"globalIndex": 28665878,
"creationHeight": 992369,
"settlementHeight": 992372,
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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]]",
"renderedValue": "[324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc]"
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"spentTransactionId": "3cd3b532fbe77b9e8aee4477c2753c02a51a5136c692c483547e580fcb50d151",
"mainChain": true
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{
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"index": 4,
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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": "[94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057]"
}
},
"spentTransactionId": "93bfbc8bcfc539c15d1167c9177e22f0923394461b33fcb2469d628bc9115285",
"mainChain": true
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{
"boxId": "0cf78439fabe9a7b0a77ed5671a9b924d7d3d290f00bf3630d9ca17ce05895f5",
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"value": 300000,
"index": 5,
"globalIndex": 28665880,
"creationHeight": 992369,
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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,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"index": 1,
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"name": "RSN.V-test2",
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"R4": {
"serializedValue": "1a0120c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded]"
}
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"spentTransactionId": "6e0f60dad6bfd017a592a3b6097f1f8f5acfa96997c8cd815adfc2953751f21b",
"mainChain": true
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{
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"index": 6,
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"creationHeight": 992369,
"settlementHeight": 992372,
"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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"decimals": 0,
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"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01]"
}
},
"spentTransactionId": "b9895dbe5dc277b109e5fc064fec6b8adc72344506d5648336af9fe919e7c45f",
"mainChain": true
},
{
"boxId": "5660d671013d7531d384bd5c1c38d1631ad08f182290a139f2adb0b66c200356",
"transactionId": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"value": 300000,
"index": 7,
"globalIndex": 28665882,
"creationHeight": 992369,
"settlementHeight": 992372,
"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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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3]"
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},
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{
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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,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6]"
}
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"mainChain": true
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{
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"globalIndex": 28665884,
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"ergoTree": "0008cd022debce205ab6e51a8d670ac3e430d2f964d4dbcdb3533a32da3e32602c445b4d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2debce,690fa7,...)))}",
"address": "9esHWS1CVuXvmsSUXsgGk7aScvxU4eognun9qT5kUEmkP9thaza",
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"name": "RSN.V-test2",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[1c85879b1259e8ef0de5101892b5a41b0563eedf08058f5fb61b33e6e145a9da]"
}
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"mainChain": true
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{
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"index": 10,
"globalIndex": 28665885,
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"ergoTree": "0008cd0312b6476d971e1d46ef5173b577558fad6c0759c1e463dc1bbc67aead5130fd60",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(12b647,3ff520,...)))}",
"address": "9gc3fXXNE4VrMEsGd8UUxEc5KzHMJEKJeKMRqkVmeXS5wtxEsMw",
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"spentTransactionId": "88789e55cb7c7c5badad62fbb0863c5e7b2a686e7e13803026d407fd23101412",
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{
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"value": 218534234000,
"index": 11,
"globalIndex": 28665886,
"creationHeight": 992369,
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"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}",
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"assets": [
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"index": 0,
"amount": 3599388,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
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{
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"index": 1,
"amount": 999995894370697,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
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{
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"index": 2,
"amount": 44999999658324600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
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{
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"index": 3,
"amount": 59272709,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "2e5c32375e8777bac58c3df4fb40bb137fc1777abe415e5dbdce8bf5ab44cbb0",
"mainChain": true
},
{
"boxId": "681aedcb2af70bc7c0e40ed27d6c6cf7a6ac5373a9135d67d17825fe26694ebe",
"transactionId": "1ff79a4e4a43cd1c6ff6def39afec9caf9a2f9dda5dc9afbd08dc0d89e0b4644",
"blockId": "6906bc4340561801edb183312797ecb256f4ea17e603b3a2390e03e08414d3b1",
"value": 1100000,
"index": 12,
"globalIndex": 28665887,
"creationHeight": 992369,
"settlementHeight": 992372,
"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": "dba60b8d5373ed33c644508998459f37c8a7aa2544b5866e169242da5396820e",
"mainChain": true
}
],
"size": 5526,
"isUnconfirmed": false
}