Transaction
ID: 86dea68eba...1194
Inputs (3)
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:
210.23 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:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
213.23 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 769,718
Total coins transferred: 213.24 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000199 ERG
Raw Transaction Data
{
"id": "86dea68eba9877ce2791dd4fbbd0693a8a6c7ae6728da20a95d06d30b2431194",
"blockId": "634dffe122db33cea6439e27d26e311bd56cdb57e40771f1b57408d75174fa2d",
"inclusionHeight": 992496,
"timestamp": 1682718360733,
"index": 1,
"globalIndex": 5116777,
"numConfirmations": 769718,
"inputs": [
{
"boxId": "4a39809154c4d782c80f1c05a6f8ae3d30cd15bf85026191d4841599dabad2b2",
"value": 9900000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b3274fc333f90c7d8c80040b8634ca80149abd9e1d43501c4de3a6f45bafbc68",
"outputTransactionId": "8303c73162a58c1abc12bc547226b55249dc525fd2550ee6bbee0862b9294b99",
"outputIndex": 0,
"outputGlobalIndex": 28673270,
"outputCreatedAt": 992440,
"outputSettledAt": 992443,
"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": "[5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7,0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[31636362303561393761316639303865363732333632626363396531303037363933383565633839336466613366623439346133396336316163643433313734,63617264616e6f,6572676f,616464723171396c637533797a6e6e61396a326d336e7a6863786673716c6633386e617a71353834746a396738666b39687367717a6474677a6b74716a677a6e6c6d6332337a77637a64347439726e79357533617979786668323878733578387133366b397561,39684a6643727036654437506d6e563334704b7943514d31436370346f664436666f6567324d786e445373505247484a45644c,0000000000989680,000000000081b320,0000000000002328,6c6f76656c616365,33386362323330663638613238343336666233623733616534623932373632363637336534363230626337633934383936313738353637643433366534313662,30353663343635333261616332333639303732373630653730663961386539376364373139383064313238366162636366633766636334363633613961316436,000000000084d7d2]"
},
"R6": {
"serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
}
}
},
{
"boxId": "caf37fe7683c6a90c2fb3caf77b3f121a8c0bb7c2d68cf0be6a303c8d866531f",
"value": 3000000000,
"index": 1,
"spendingProof": "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",
"outputBlockId": "dd07b3f9a5b5ade28060d1dccfe02ea6529e715e61e72d853b0663f6ea2f4c94",
"outputTransactionId": "fbb0eeab716f2088ba10bd1a8e91994d3838db99ffe495b8861803a90cc6a792",
"outputIndex": 0,
"outputGlobalIndex": 28672371,
"outputCreatedAt": 992436,
"outputSettledAt": 992438,
"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": "1a050763617264616e6f676164647231713938306677643938657a776e7677717630303433327765387975787765376e6c70333668397567353965686e67387773666d3079356c396465383976796163347371386b6d377a6c6a333864716d767665633968323537716a6e71346b6468387a093830303030303030300a323030303030303030303339675a45636272764d445a394462575a445772326355534752707773615874743470414c327242784856524d515a6e6b38534b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,6164647231713938306677643938657a776e7677717630303433327765387975787765376e6c70333668397567353965686e67387773666d3079356c396465383976796163347371386b6d377a6c6a333864716d767665633968323537716a6e71346b6468387a,383030303030303030,32303030303030303030,39675a45636272764d445a394462575a445772326355534752707773615874743470414c327242784856524d515a6e6b38534b]"
}
}
},
{
"boxId": "a5856e1215c5d663ceb17e5a84ad5e6562a8e50dc27060060e34220a32578081",
"value": 210229134000,
"index": 2,
"spendingProof": "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",
"outputBlockId": "641c67de9f5f6212d699c3ee4bf3ac7bbf487b1d9441043c036bda06596bd9c7",
"outputTransactionId": "17b2dbcaf5bbce51df5e2ce6af03bb8a66875ceb8281b2f044da069378ee5026",
"outputIndex": 12,
"outputGlobalIndex": 28674853,
"outputCreatedAt": 992484,
"outputSettledAt": 992491,
"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": 3277943,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "38cb230f68a28436fb3b73ae4b927626673e4620bc7c94896178567d436e416b",
"index": 1,
"amount": 44999999651897600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b37bfa41c2d9e61b4e478ddfc459a03d25b658a2305ffb428fbc47ad6abbeeaa",
"index": 2,
"amount": 999995894370697,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 3,
"amount": 59272117,
"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": "b13e06bf5afe3050d0ec2e064b8b588fb8f95456673721dd68cac0f01e3ce14b",
"transactionId": "86dea68eba9877ce2791dd4fbbd0693a8a6c7ae6728da20a95d06d30b2431194",
"blockId": "634dffe122db33cea6439e27d26e311bd56cdb57e40771f1b57408d75174fa2d",
"value": 300000,
"index": 0,
"globalIndex": 28674920,
"creationHeight": 992492,
"settlementHeight": 992496,
"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"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb]"
}
},
"spentTransactionId": "100946995f0c7fe6158510fbdc4605cf51b5cad030a32d1fa87bd6a39bc18b17",
"mainChain": true
},
{
"boxId": "ec8bf72fb810f239fb7684ae7f1bb3bb7621fed35b4fdc2a34f9928469f7ca9c",
"transactionId": "86dea68eba9877ce2791dd4fbbd0693a8a6c7ae6728da20a95d06d30b2431194",
"blockId": "634dffe122db33cea6439e27d26e311bd56cdb57e40771f1b57408d75174fa2d",
"value": 300000,
"index": 1,
"globalIndex": 28674921,
"creationHeight": 992492,
"settlementHeight": 992496,
"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"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f]"
}
},
"spentTransactionId": "ebc4163767ef543dcb47237a358c72584bba216e1d2860ccb040a656a7606c31",
"mainChain": true
},
{
"boxId": "2adf7d8a32c57d06e499a6993f06035ff02bbf567dc6b6646cbdf759a2e2ab0a",
"transactionId": "86dea68eba9877ce2791dd4fbbd0693a8a6c7ae6728da20a95d06d30b2431194",
"blockId": "634dffe122db33cea6439e27d26e311bd56cdb57e40771f1b57408d75174fa2d",
"value": 300000,
"index": 2,
"globalIndex": 28674922,
"creationHeight": 992492,
"settlementHeight": 992496,
"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"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01209ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a]"
}
},
"spentTransactionId": "3d887ccd2e702fdb99d6c0df040db396b558cc15b16d6538dd4da2e22c081cc7",
"mainChain": true
},
{
"boxId": "9f00b3fca0cfbf0c517fd5df091dbfa669db64a41cde8acf4995236be69b1ef8",
"transactionId": "86dea68eba9877ce2791dd4fbbd0693a8a6c7ae6728da20a95d06d30b2431194",
"blockId": "634dffe122db33cea6439e27d26e311bd56cdb57e40771f1b57408d75174fa2d",
"value": 300000,
"index": 3,
"globalIndex": 28674923,
"creationHeight": 992492,
"settlementHeight": 992496,
"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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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
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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(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"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0]"
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},
"spentTransactionId": "f22e23b97d67d0d91637c3d328eb78469ba09d964fa153d39b3a8f90243a893e",
"mainChain": true
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{
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"value": 300000,
"index": 5,
"globalIndex": 28674925,
"creationHeight": 992492,
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"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}",
"address": "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",
"assets": [
{
"tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012072eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639]"
}
},
"spentTransactionId": "06975b5d07a340cd8b0866dafb0c43ce4316bca83e20ec9501f695620a5a955c",
"mainChain": true
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{
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"value": 300000,
"index": 6,
"globalIndex": 28674926,
"creationHeight": 992492,
"settlementHeight": 992496,
"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}",
"address": "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",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5]"
}
},
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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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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"index": 8,
"globalIndex": 28674928,
"creationHeight": 992492,
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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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"index": 0,
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"name": "Cardano-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
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"globalIndex": 28674929,
"creationHeight": 992492,
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"ergoTree": "0008cd022debce205ab6e51a8d670ac3e430d2f964d4dbcdb3533a32da3e32602c445b4d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2debce,690fa7,...)))}",
"address": "9esHWS1CVuXvmsSUXsgGk7aScvxU4eognun9qT5kUEmkP9thaza",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(12b647,3ff520,...)))}",
"address": "9gc3fXXNE4VrMEsGd8UUxEc5KzHMJEKJeKMRqkVmeXS5wtxEsMw",
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"mainChain": true
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"ergoTree": "0008cd036eeda34627b6a5be95b56722822a390ce7697e0e7f71f271ed788dfc0df69f02",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6eeda3,b338d9,...)))}",
"address": "9hJfCrp6eD7PmnV34pKyCQM1Ccp4ofD6foeg2MxnDSsPRGHJEdL",
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"index": 0,
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"name": "RstAdaVTest2",
"decimals": 6,
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{
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"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,
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"name": "COMET",
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"type": "EIP-004"
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"index": 1,
"amount": 44999999641897600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
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{
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"decimals": 0,
"type": "EIP-004"
},
{
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"index": 3,
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"name": "RSN.V-test2",
"decimals": 0,
"type": "EIP-004"
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"mainChain": true
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{
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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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"mainChain": true
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