Transaction
ID: fa426d1391...de1a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
198.9 ERG
Tokens:
Loading assets...
Outputs (14)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
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:
198.9 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 775,270
Total coins transferred: 198.91 ERG
Fees: 0.0011 ERG
Fees per byte: 0.0000002 ERG
Raw Transaction Data
{
"id": "fa426d13918f3c8ddb02896b998be8c72769fdedf46fc8e95c05da987728de1a",
"blockId": "56d602e243ef190d01d97c9db7fa5a42b95eab18d3c32e4ed7b73cb2daf55f7c",
"inclusionHeight": 991676,
"timestamp": 1682616946553,
"index": 5,
"globalIndex": 5108018,
"numConfirmations": 775270,
"inputs": [
{
"boxId": "03a809a25f25da4e842e61beeaea786b6c8421de69c617ed69d3e8bf1173bb6b",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2dad544250f3a80fec11fa87f3dc45f7870f5f2bb8c60936ff67a7ab14471548",
"outputTransactionId": "b2c251ccd0236c49567507a17d84ff9023067a7953cba8b6fa37f0c8ff012b77",
"outputIndex": 0,
"outputGlobalIndex": 28625430,
"outputCreatedAt": 991618,
"outputSettledAt": 991622,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-103,111,100,62,-106,73,90,-53,-85,119,-96,126,40,-118,13,3,-106,16,-88,9,44,-95,-47,92,-86,-119,-103,-19,-107,-85,81,-110)\n3: 1\n4: 0\n5: Coll(52,67,-107,5,85,-58,8,-118,75,63,-67,-103,-72,83,-95,-37,-119,118,92,-100,123,-29,24,-90,19,77,-78,-18,15,-114,-53,-54)\n6: 7200\n7: Coll(43,-62,101,33,114,37,29,97,92,1,-33,-22,-90,105,-107,67,5,50,-27,-81,13,83,-74,3,-80,-113,-79,-84,54,121,4,-33)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qkvYUFMVCVau8CwPYUt3BoDtgJvvFnsw2bLmNZN8ZVV3cTUJFCTRnnyD8fHscr9P5rrXJNwX75FuqoPnfbocy7JaSrRZszkJgsFcTHqB3wGuWvSW9K4PFJmgpC4LX32TaNSfi5opXMp3e3tULzez42Qqce94YnSxsdxga5zvRL7g12ziVVEuTApwamEAQQ54gvmeceXUu1vkcYgwdPasNZsTzTb3Z1zGoGhtpzjuKbPcwhnmeb6CW9d9XEtG1ZVF3k3eEMLoeJJyoUgNWu2PttvXxhKe9V6p5N41QA3HxkvnH4DBs8AJKvFxBPFW7Q7Ucxv4R8ST4BqbcVzKuSen2jfYD9MGWGrGtTkMAzh",
"assets": [
{
"tokenId": "bd7ec56095ce16501dff9331ba7eb687805904b1ef97100dc4b8abaf472366b3",
"index": 0,
"amount": 10,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded,95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6,72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288,94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057,324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc,a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01,9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6,a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3,de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11,b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00]"
},
"R5": {
"serializedValue": "1a0c4066613666373261626535373164383863316338313833353735346130363161663038633136386631323766353136653166613434616530313333613831333065046572676f0763617264616e6f3339674b6b654465434646455073486b4b705651623477534e624341416f33425a4b6e70717351726a6532475379326171367643676164647231717839366633706d6671643679306a6d6a3977646d7973346867726e736479797a746778766a346d76353467366b33337066366166636438326367687135356c61716e34326b3670666a6367617477357a636a776d30376633783271646c67767a7a08000000000005573008000000000003c8c00800000000000186a040306364386339663431366535623163613966393836613766313061383431393164666238353934313631396534396535336330646333306562663833333234622c6173736574316d36327a6472743266686c6d3977707172736b786b613674307776713576616735386379746c40383532663862616134303035373464663437303462653736336133613734626265623566353235646262323766636133383465636536376262363733653138390800000000000f2165",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[66613666373261626535373164383863316338313833353735346130363161663038633136386631323766353136653166613434616530313333613831333065,6572676f,63617264616e6f,39674b6b654465434646455073486b4b705651623477534e624341416f33425a4b6e70717351726a6532475379326171367643,6164647231717839366633706d6671643679306a6d6a3977646d7973346867726e736479797a746778766a346d76353467366b33337066366166636438326367687135356c61716e34326b3670666a6367617477357a636a776d30376633783271646c67767a7a,0000000000055730,000000000003c8c0,00000000000186a0,30636438633966343136653562316361396639383661376631306138343139316466623835393431363139653439653533633064633330656266383333323462,6173736574316d36327a6472743266686c6d3977707172736b786b613674307776713576616735386379746c,38353266386261613430303537346466343730346265373633613361373462626562356635323564626232376663613338346563653637626236373365313839,00000000000f2165]"
},
"R6": {
"serializedValue": "0e206bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e",
"sigmaType": "Coll[SByte]",
"renderedValue": "6bc550e571abd06490d773698fad27ead82b93c25d46caf58aec59b3a8fd095e"
}
}
},
{
"boxId": "0b76113ef30c6ccbf57837a0d9305399913d16386667ce9bcd7963ecfaff7e84",
"value": 198898021100,
"index": 1,
"spendingProof": "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",
"outputBlockId": "c0798122fdd081aaf04bb44e9d2cc5f0cff62848fdec5db0ac00f21d7c3d2ce0",
"outputTransactionId": "3519f41bfcb4467ab239c23bba61287416b764c8273fe1b152b7d46e3bdb6257",
"outputIndex": 12,
"outputGlobalIndex": 28626264,
"outputCreatedAt": 991646,
"outputSettledAt": 991649,
"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": 3241000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b37bfa41c2d9e61b4e478ddfc459a03d25b658a2305ffb428fbc47ad6abbeeaa",
"index": 1,
"amount": 999996226966943,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "38cb230f68a28436fb3b73ae4b927626673e4620bc7c94896178567d436e416b",
"index": 2,
"amount": 44999999925220600,
"name": "RstAdaVTest2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
"index": 3,
"amount": 59274781,
"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": "3d13a990c78f4ae24e765ac8b0ffd76a106f1b9cd54460fff85af6086df3ac4d",
"transactionId": "fa426d13918f3c8ddb02896b998be8c72769fdedf46fc8e95c05da987728de1a",
"blockId": "56d602e243ef190d01d97c9db7fa5a42b95eab18d3c32e4ed7b73cb2daf55f7c",
"value": 300000,
"index": 0,
"globalIndex": 28626851,
"creationHeight": 991668,
"settlementHeight": 991676,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c0d99fd3df85ae104721355c3391917df1890456ccc09401e67d68f89bd38ded]"
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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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"additionalRegisters": {
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"serializedValue": "1a012095915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[95915d95a1f7bfdf947a16cf689bebe6e9da4818bb318cebe59c5f28ef9890d6]"
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},
"spentTransactionId": "aa00c2c6d46bbc1c5d8c77957bf8af0f21aebd69d5db43ac5d97d60404e4e03b",
"mainChain": true
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"index": 2,
"globalIndex": 28626853,
"creationHeight": 991668,
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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": "EE7687i4URb4YuSGSQXPCbAn9cEHVef1YnLTkL7EAGAqijKAZhmNiZ2n5ZcieaSJzJDe6hdv2u287YjQpbzBBQCQbtzt2QY1wy53XMgswkAiSiZNAq9Q4MCp1RNxZbzR6Bmtb3cGNkdnrDA2VjReFXSts9Jjc9yn4ktV2cuRj5F5xXAzYz5NY7cvRN89GKJyfkJnxdTGLZQw7ZFDFmZBqtknJs2Fo7qJkrTyV4foV6H5ofTg1uePXqoKMyoZm6FcNsM1isHe5vNarDAhikwqtTzvZ3CgcW53K8oGoexv2zNsFTRdMmRKk2rmJhaXNSUXpzYXkD5PdtB3dgz2PuGWrXKJ7EQxiNzLxFwrv3zSgSB2YgPDTzgUjiGVSg5VX4wcMcCnFoYKoGAMVBPdbSjj6wxPqnKhqowkoNHPGEvDTtYqcEBVBL5WqPpdTcbKk4anEr55ZrFsrwAbpv1Aqd1kMFkHZdn5YExj82zTH8MFrQ6XR9mjShySh3a6SoQeCC2Xyy4E98bECT5Fe1JWXxF8wA878zCHRALhUNfj61A",
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012072743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[72743d4c42bdd20a106230afefd47a0f6d381a9782638f0f032b56cd7816d288]"
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"spentTransactionId": "fee0f3b1830041d037e7bef7aa4560183fcdfc2314b1f583436ed56407853e8c",
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{
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"value": 300000,
"index": 3,
"globalIndex": 28626854,
"creationHeight": 991668,
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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}",
"address": "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",
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"renderedValue": "[94b2e054e071a4a0b7c5c634176f1bb1b761695140f467219e00fc6406ace057]"
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[324af5e13b9221a75f88958331e0b55becbd8c29f54d2d09dcb412acc89634fc]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"index": 0,
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"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3990b87fbe55cd9b45dc827952649e4e38180001804eb6a00a604b5e7105f01]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(-91,-103,-69,-108,-78,48,-8,-45,-84,-108,-123,106,-78,76,49,-78,53,-85,73,61,52,21,9,113,2,-111,108,96,15,-69,-7,105)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-23,-17,-80,124,-106,-56,-25,13,-40,-108,102,56,114,-100,109,-28,-75,-120,86,-11,-97,70,-59,-91,-79,105,-106,50,-76,-82,-93,-75)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"serializedValue": "1a01209dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9dd6c446fdc3ed4cb3518abd39fee9c2bf02cf49696d7f9d2ffef459947474d6]"
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"index": 7,
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"creationHeight": 991668,
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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,
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"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a27cf938ef70a2b562ea6b7af2f766e92ac5250eba5c75011bc3d48f27275db3]"
}
},
"spentTransactionId": "fa9c8ad3888fd33912310d0b0743f465ba995a153a95c7defa75424f5ef59b57",
"mainChain": true
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{
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"value": 300000,
"index": 8,
"globalIndex": 28626859,
"creationHeight": 991668,
"settlementHeight": 991676,
"ergoTree": "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",
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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,
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"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[de5fd2cf8d6793ac0eeb949d82bd757fbe3d02c50a3eedca0f79ff7f7a10ad11]"
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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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"name": "Ergo-RWT.V-test2",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b1af3be747572fed2444ec914589b80a0f4274297a3af9127c5f3aefe8c87e00]"
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"ergoTree": "0008cd022debce205ab6e51a8d670ac3e430d2f964d4dbcdb3533a32da3e32602c445b4d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2debce,690fa7,...)))}",
"address": "9esHWS1CVuXvmsSUXsgGk7aScvxU4eognun9qT5kUEmkP9thaza",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ebfea5447ed8575d10d1bc539fe9e7c56f6296485064f41f18bb272413b6d579]"
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"ergoTree": "0008cd0312b6476d971e1d46ef5173b577558fad6c0759c1e463dc1bbc67aead5130fd60",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(12b647,3ff520,...)))}",
"address": "9gc3fXXNE4VrMEsGd8UUxEc5KzHMJEKJeKMRqkVmeXS5wtxEsMw",
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"index": 0,
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"name": "COMET",
"decimals": 0,
"type": "EIP-004"
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"spentTransactionId": "88789e55cb7c7c5badad62fbb0863c5e7b2a686e7e13803026d407fd23101412",
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{
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"index": 12,
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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,
"amount": 2893000,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
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{
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"index": 1,
"amount": 999996226966943,
"name": "RstHoskyVTest2",
"decimals": 0,
"type": "EIP-004"
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"index": 2,
"amount": 44999999925220600,
"name": "RstAdaVTest2",
"decimals": 6,
"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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"spentTransactionId": "d9832803e1c92c80fe775efd6cb4800d3133470a8c55bc7d9dafad04f2da4800",
"mainChain": true
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{
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"transactionId": "fa426d13918f3c8ddb02896b998be8c72769fdedf46fc8e95c05da987728de1a",
"blockId": "56d602e243ef190d01d97c9db7fa5a42b95eab18d3c32e4ed7b73cb2daf55f7c",
"value": 1100000,
"index": 13,
"globalIndex": 28626864,
"creationHeight": 991668,
"settlementHeight": 991676,
"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": "025f8889124827b08c256c841d8c932c9f8bd3be0cf89dfd99f0a8147090a103",
"mainChain": true
}
],
"size": 5503,
"isUnconfirmed": false
}