Transaction
ID: b471799f38...4be5
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
3 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
7 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
176.33 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:
2 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.2 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
179.14 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 775,959
Total coins transferred: 186.34 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000184 ERG
Raw Transaction Data
{
"id": "b471799f38d4cc8a3b6ad070d46c4c9ec8302df6f6b82d085706c882f5ee4be5",
"blockId": "68f57a8b1011055d17c0ea631583d7fb559c74c63b03accca10160859e343474",
"inclusionHeight": 991029,
"timestamp": 1682543176125,
"index": 7,
"globalIndex": 5104487,
"numConfirmations": 775959,
"inputs": [
{
"boxId": "372b81c29f717665f8054a2977283d710bad63bd6709e8afc0c58422ee2db0a2",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "c994c6a9951786da40619db119909dae54c561a2dd00cc2dbf6cfc743c1516c4",
"outputTransactionId": "d7518a82ab2141d5b790cd935d38aefed56a1681024fb019993f1580ba9e9d62",
"outputIndex": 0,
"outputGlobalIndex": 28606248,
"outputCreatedAt": 991001,
"outputSettledAt": 991004,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(55,114,-70,2,110,-28,-123,117,-52,-48,-98,-100,-113,-3,-41,2,-75,47,14,43,-103,18,114,113,85,-4,-13,32,60,-80,80,-68)\n3: 1\n4: 0\n5: Coll(36,110,-75,-35,57,-95,29,-106,-46,-68,115,115,-77,22,104,53,-4,114,-103,-117,4,93,103,-22,122,-36,-24,66,-60,88,90,98)\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": "21oSXpSmAC6qayCbrgqHPjU8LaNbB41kxUySN91Yjb22ygCMuG89Gu26CpS3coqGDw1e5BaE5i9ysiexzajpTaPnPeKvsPksDK1iLrjvNbNDpmYCn5nonSb23u7AKBm4rkaVgxWzTQU8pFQyAzmpT4zcyBTTEMV4DCvuNZx8AfBYbef6iXnmCRZJv6JZ4MDJnjGS6VdtfsZcnezDX6rBVz89ukeh24PJGHftbgWwt6yRmSeXGyUSEfwp6b5VYMaMumvLuSMRXK5Wz87qYu5wWwuBPvtStkegrKNojETYCtckLKR3sD4TRtjSumd9E3iDYgAmcQ4bXdhbDoMPhCB7E8zgHQXH5QhXv3u4ygErfkb3giWJbD",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 9,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[34386134613665323137396665666362633064373239663137366464326338316632373939636331366337656634393432653962353832313762393763663036,63617264616e6f,6572676f,616464723171396a7471307935637a72667a376771776c75307a793767376e36687874367968643566366b736b677534387435736a306d386434327139756c396e79657032707a797971757530726665673935356b343234657665746b30797571337367337878,3967425a414763536e7356484d4563414d6d62575377616459394e366d33766e62376a694344634e5043556e4a6e7a4a586d76,00000001ad274800,0000000077359400,00000000001e8480,61737365743165707a37677a6a7167357079347872677073366363763235677a3767643676386535676d7878,657267,61326434333134353037383765316662336635383166636562653163343839303966663939383361343336643839626366393564356332316363656263656262,000000000084b6a3]"
},
"R6": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "9743c5b8fd12430556bc218643fac81df0221b569a2bbe712460ef1673e0caae",
"value": 3000000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "d0c317984c04e7aa065f37eec97ee121f28c828d714b288621992cd5dd4281c8",
"outputTransactionId": "062eee6c639e0a98f7a7de398ef16b2dbfaaad90d52bb104387de129cae143ae",
"outputIndex": 0,
"outputGlobalIndex": 28606053,
"outputCreatedAt": 990994,
"outputSettledAt": 990996,
"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": "1a050763617264616e6f6761646472317139346a32656b37396e32336e646e64386e74726d78726870686736773573616b6a6a6b366176637435776c78657572666c6d3372376a6d6e377074727a79727472727937323771353433706e373570386a78387572723771787973327a75707a6e093830303030303030300a323030303030303030303339667261475671506f65674144374e7277627a74715a6235726b3463526e53725963485435624e454a437652724b7546313338",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317139346a32656b37396e32336e646e64386e74726d78726870686736773573616b6a6a6b366176637435776c78657572666c6d3372376a6d6e377074727a79727472727937323771353433706e373570386a78387572723771787973327a75707a6e,383030303030303030,32303030303030303030,39667261475671506f65674144374e7277627a74715a6235726b3463526e53725963485435624e454a437652724b7546313338]"
}
}
},
{
"boxId": "2527a245f2dd9665cf3645da0374f23f3cf4e42a797bd59dbb79c70c8fe43264",
"value": 7000000000,
"index": 2,
"spendingProof": "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",
"outputBlockId": "75791ebf046e4c81d00e9713dfcfa40ff77026db693e3e28514465e88b6432b4",
"outputTransactionId": "eaf28f301500fcd185f99e0e442cf1a164529152268a5a118d517dad54432ae4",
"outputIndex": 0,
"outputGlobalIndex": 28606116,
"outputCreatedAt": 990997,
"outputSettledAt": 990999,
"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": "1a050763617264616e6f6761646472317179356a356732787675786d356137736668657a7563753037676b713261733538307a763063707674346a356b6a687471767232357a7774676839776a30396838776e756366737132347779726732736d6465336474337934683473336b6c657778093830303030303030300a323030303030303030303339664136417548763843684e70424767383938427a724b414d6d684b69743773313766734c456544684c48364c747a41687052",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,61646472317179356a356732787675786d356137736668657a7563753037676b713261733538307a763063707674346a356b6a687471767232357a7774676839776a30396838776e756366737132347779726732736d6465336474337934683473336b6c657778,383030303030303030,32303030303030303030,39664136417548763843684e70424767383938427a724b414d6d684b69743773313766734c456544684c48364c747a41687052]"
}
}
},
{
"boxId": "17dc3891be0c5648ef42dd4754912989fc6dfc707634d03681e80bc02001cf2c",
"value": 176327700000,
"index": 3,
"spendingProof": "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",
"outputBlockId": "69e835a0c07901b79bc494cfcf753107519e6b03cc44d609ef249f442462dcf1",
"outputTransactionId": "7c8c0d25499483faf38dda774018da030ca6a2ac9b7da73e4a1251b02fa364f5",
"outputIndex": 12,
"outputGlobalIndex": 28606223,
"outputCreatedAt": 990999,
"outputSettledAt": 991003,
"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": 2376000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "38cb230f68a28436fb3b73ae4b927626673e4620bc7c94896178567d436e416b",
"index": 1,
"amount": 44999999979500000,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b37bfa41c2d9e61b4e478ddfc459a03d25b658a2305ffb428fbc47ad6abbeeaa",
"index": 2,
"amount": 999998329579579,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 3,
"amount": 59276631,
"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": "1a0a210265764aa1ec6d626bbc6ebca99354a1d92a1a95ecd454e91b05f432ffc6b79723210342f5aad401b384b1525154770865b7a58d0a71c725a4f1689388b68fd0e3dc902102366b41d22ee5ec985d646cc70e9ac284042aa26e7bfefbe210e8e519be2b9a6a2102e0fc1f874de7665ab4e7b22601265a57b060af06b7c7f3ca74f6a61816feb65e21025bf001d02a181f142ae6e94cd34c5e39218158ac9338af5bdfde7ea56f6ce54b21027bf30821d6df2481292da4c8543958e7ea55eb6bc06c0ea0832bfaf458927a3621027e9ffb8bdfa88c5ad491337ceec60aaf61dd29721bd66be083abfae374e91b782102caef9318a6a36960beb5c1b33a32ead3ddb59dd9f74a71e4f08b06c35fd242fc2102bda50ab2186f64751c6eeabcf268ecfb9600835d2a7e7ef763a30fd443f50bc321026c65eebfba3b6056facb508459caacd8573118a29c0a0aa866dc8f8e6bcff9b2",
"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": "d6543b4d27970fbb2e1409ead28104b8c0bdc699f266b8f55230ba42f06fc304",
"transactionId": "b471799f38d4cc8a3b6ad070d46c4c9ec8302df6f6b82d085706c882f5ee4be5",
"blockId": "68f57a8b1011055d17c0ea631583d7fb559c74c63b03accca10160859e343474",
"value": 300000,
"index": 0,
"globalIndex": 28607066,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-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": "1a0120a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5]"
}
},
"spentTransactionId": "b67b65290d69116f69806ec17f34f78b0dcf01dbc063a58e056cabaf5915ffd0",
"mainChain": true
},
{
"boxId": "bd265e5cbd67cdc6f34f0d0ec77ccd30cb7397a8b4ffe9868c461f0efd86cabe",
"transactionId": "b471799f38d4cc8a3b6ad070d46c4c9ec8302df6f6b82d085706c882f5ee4be5",
"blockId": "68f57a8b1011055d17c0ea631583d7fb559c74c63b03accca10160859e343474",
"value": 300000,
"index": 1,
"globalIndex": 28607067,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-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": "1a012072eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639]"
}
},
"spentTransactionId": "244f266cfba730b091c64d7049e6cb68c0e6abe8934ecc71e2493a294c7f8cee",
"mainChain": true
},
{
"boxId": "42a4e9bfb33752acc2b33c9f24b0a4b3352e1baa02c2aad9a12ad9184c9fc76d",
"transactionId": "b471799f38d4cc8a3b6ad070d46c4c9ec8302df6f6b82d085706c882f5ee4be5",
"blockId": "68f57a8b1011055d17c0ea631583d7fb559c74c63b03accca10160859e343474",
"value": 300000,
"index": 2,
"globalIndex": 28607068,
"creationHeight": 991025,
"settlementHeight": 991029,
"ergoTree": "10130400040004040400040204000e20a599bb94b230f8d3ac94856ab24c31b235ab493d3415097102916c600fbbf9690404040004000400010104020400040004000e20252e76bc63b9ab9b4d3f6614ba49a239385a3fc2a545b2b6fecc5084d6c2b2f605020101d807d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db63087205d607ae7206d901074d0e938c720701720295938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095720796830201938cb27206730a0001720293c27205c2a7730bd801d608c2a7d196830501ef720393c27201720893e4c67201041a7204938cb2db6308b2a4730c00730d0001b27204730e00957207d801d609b27206730f0096830701938c720901720293cbc272057310e6c67205051ae6c67205060e93e4c67205070ecb720893e4c67205041a7204938c72090273117312",
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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": "Cardano-RWT.V-test2",
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"type": "EIP-004"
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"serializedValue": "1a01200232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0]"
}
},
"spentTransactionId": "5da0ca89ff9ced8f02380f4ddb7bee564c12910ff6cfb314f92970ae7ceee94e",
"mainChain": true
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{
"boxId": "7522cdc7122378806714c1be32c969a1168ed84e76894ab1871054ce6e06ab3f",
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"value": 300000,
"index": 3,
"globalIndex": 28607069,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"name": "RSN.V-test2",
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"additionalRegisters": {
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"serializedValue": "1a01209ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a]"
}
},
"spentTransactionId": "4617e7228823aa13ed43bb5d9b1d45acf0eb1c9ee9901bbad8de0707bba813f2",
"mainChain": true
},
{
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"transactionId": "b471799f38d4cc8a3b6ad070d46c4c9ec8302df6f6b82d085706c882f5ee4be5",
"blockId": "68f57a8b1011055d17c0ea631583d7fb559c74c63b03accca10160859e343474",
"value": 300000,
"index": 4,
"globalIndex": 28607070,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
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"additionalRegisters": {
"R4": {
"serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
}
},
"spentTransactionId": "f073c89eb5e48b7d72263a3370f1c1a58d9806379150cf4b4b741f76b14be81b",
"mainChain": true
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{
"boxId": "73b424e36074ff29fabd106e58366a48aa0a18755e65319e6898036acf3d7547",
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"blockId": "68f57a8b1011055d17c0ea631583d7fb559c74c63b03accca10160859e343474",
"value": 300000,
"index": 5,
"globalIndex": 28607071,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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": "[050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f]"
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"mainChain": true
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"globalIndex": 28607072,
"creationHeight": 991025,
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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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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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"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
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"spentTransactionId": "6183faeebb13fdd6af6ab862e81192daa10a98e9e3036b8389e3d58bc5744511",
"mainChain": true
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{
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"index": 7,
"globalIndex": 28607073,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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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"assets": [
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"index": 0,
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"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"name": "RSN.V-test2",
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"serializedValue": "1a0120c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d]"
}
},
"spentTransactionId": "386913f31a09582a415a12db7a8418cf8f67df43561f1faf59980e34bf947ee7",
"mainChain": true
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{
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"value": 300000,
"index": 8,
"globalIndex": 28607074,
"creationHeight": 991025,
"settlementHeight": 991029,
"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(37,46,118,-68,99,-71,-85,-101,77,63,102,20,-70,73,-94,57,56,90,63,-62,-91,69,-78,-74,-2,-52,80,-124,-42,-62,-78,-10)\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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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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}
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}
},
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2debce,690fa7,...)))}",
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{
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"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
}
},
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"ergoTree": "0008cd0312b6476d971e1d46ef5173b577558fad6c0759c1e463dc1bbc67aead5130fd60",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(12b647,3ff520,...)))}",
"address": "9gc3fXXNE4VrMEsGd8UUxEc5KzHMJEKJeKMRqkVmeXS5wtxEsMw",
"assets": [],
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},
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(db19e7,f87afe,...)))}",
"address": "9gBZAGcSnsVHMEcAMmbWSwadY9N6m3vnb7jiCDcNPCUnJnzJXmv",
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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}",
"address": "nB3L2PD3JXHPkNza7R4acW1bLX4tWLU8ou6rvFZnVnmu9SUMA57RFsnE9u5ZF9hKbox893JPvxqTZwmg4HxkgNNr5Z5fu4oycyErt8B7Q9UXbBLSvNtxerJT5uL3yBGksCtJGpyaMZzjf",
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{
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"index": 0,
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"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
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"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 999998329579579,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 59276557,
"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
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"spentTransactionId": "1dbbf05c893c8d18c5f2815cfe86d4b45f8ec14a04b456ee543b2af28e5d793b",
"mainChain": true
},
{
"boxId": "f83549555c9e83f655fbb5c8190640473c3e0ea4493ea4253deb2dae9dfdde04",
"transactionId": "b471799f38d4cc8a3b6ad070d46c4c9ec8302df6f6b82d085706c882f5ee4be5",
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"value": 1100000,
"index": 13,
"globalIndex": 28607079,
"creationHeight": 991025,
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"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)}",
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"additionalRegisters": {},
"spentTransactionId": "494cc1a10721bbe154d70c7da5be5d9087bd481e4174a1f8d859e6dbe2274fda",
"mainChain": true
}
],
"size": 5989,
"isUnconfirmed": false
}