Transaction
ID: 5751d000ac...0db0
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
209.42 ERG
Tokens:
Loading assets...
Outputs (15)
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...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
209.42 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 789,050
Total coins transferred: 209.43 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000199 ERG
Raw Transaction Data
{
"id": "5751d000acdfeeacebb8db15e18e4b89e35a63c5d1e183ea4927d5627dfd0db0",
"blockId": "17371a1d22d766886b24d29c6adb3b6e6bca093179d39bf460fd9006c34754dc",
"inclusionHeight": 971692,
"timestamp": 1680195905010,
"index": 2,
"globalIndex": 4981552,
"numConfirmations": 789050,
"inputs": [
{
"boxId": "b81d42fe182095fed9d7d4995df0c80ff61c433c8a73b27fd1349d7f0b84abb7",
"value": 11000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "8c12c790e2d696769f74a59c2545c1acd8510974e40a2e0d2f028b085f50c6b3",
"outputTransactionId": "5c2cfecb8e0c0718490bdfc9cb4bde11d4b2834191b4f8154d563596bac4f2ed",
"outputIndex": 0,
"outputGlobalIndex": 27887992,
"outputCreatedAt": 971666,
"outputSettledAt": 971669,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(51,-52,-8,-95,100,29,25,107,-88,85,35,-119,94,16,3,-56,96,-21,19,-120,60,-128,-109,45,117,91,-53,106,36,-118,107,55)\n3: 1\n4: 0\n5: Coll(-57,-98,23,72,-24,98,-88,12,79,113,-109,7,123,96,15,-97,-5,101,-58,18,41,127,-102,-120,41,64,112,68,-63,-21,16,102)\n6: 7200\n7: Coll(-93,87,-80,5,86,-23,-23,60,104,-34,26,73,-30,-7,-41,-60,-110,93,-91,-62,118,103,2,-20,73,-79,-91,14,88,40,23,19)",
"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": "21oSXpSmAC6qabi7qcjxyUJZw1N2pPNmzvra4FxhZfFTi6bZPeFRC2ycs7xLopFjtFEK2oSBx8N6RWdseVZYzAJy4WYXiyUZo4w9Z7BjmerEgoyRkb46fHr2JakVqqVP9igfSAqYiik9ya2a1BSH4w6s8Awwuog8GuB3iZhXtyKNk48WVxiqpPqgn5aU6wwnaonQNbV2fBnUGg3QGwicHxMkFhpEJiMZGzuSEshbTNi3RMq6ucUsxCbifSkzZZd5ZdYiH3Y6EGvq6scVwJAAnxjR2xQvDLAXQWtrFLiUTKwvmdFdXc18aPb5KrLjLL9fTLkkaUsbYhigvmMJp8Cq6tGxb45VoyobYQqL3bBqAg8wW3cXiu",
"assets": [
{
"tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
"index": 0,
"amount": 10,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856,3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a,555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1,bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428,d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba,87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2,033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9,a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c,c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9,e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[38373063376536636530613130326336383962343166616430376465356365633737393839353136376538376131623566336234373738323431346132326362,63617264616e6f,6572676f,616464723171786d666764717878747432746a613932633674686d34663266706a6e6875326835766b78303277677477686d3675726636616c7379793574793079396468616565376e7a656774786d63686466756c336463737173753264646173733978723973,396652664d75594d547a4d554448757a6269554179314d7953755a45387a357432726441696e794851746a62696a53536e7938,00000000001e8480,00000000000186a0,0000000000124f80,6c6f76656c616365,34656436343439323430643136366230653434633532396235626630366432313037393634373364333831316239616130653135333239353939313634633234,36363362633735333338313831383761373034633539346237366637386239393066636330656536303965323438313062376163356237373235643435326362,000000000082fa9f]"
},
"R6": {
"serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
}
}
},
{
"boxId": "52d587a8d77adea84d6c6ddb07ca3c70bd7e59266f06894d063d84b1700f5b64",
"value": 209415716360,
"index": 1,
"spendingProof": "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",
"outputBlockId": "3d18a84580c8081e1c2dadc5b33b3e21c013b343286fc8c5bab4687df9b3ef17",
"outputTransactionId": "ed2898790920c5e6ea18b64b8f6cd362d183151589f44fb9c72a33a8c659deb7",
"outputIndex": 12,
"outputGlobalIndex": 27885626,
"outputCreatedAt": 971594,
"outputSettledAt": 971601,
"ergoTree": "100304000e20b039e4445337697deaad703fc8d1fcb129c4577e8673394fa2403e54d484eeda0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-80,57,-28,68,83,55,105,125,-22,-83,112,63,-56,-47,-4,-79,41,-60,87,126,-122,115,57,79,-94,64,62,84,-44,-124,-18,-38)\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": "nB3L2PD3LSRBnqR67yQfE5ZFAez3ySUzwouks1yjB696YSzRZ3D9BdFDntw4DAfp7yXKXykxAYE9sSBXmv9PRH1znnAWZAwzb6NDK4pn1S7LTU3omgYnuabg7VkiFxqqdY3bqw7UXeHB4",
"assets": [
{
"tokenId": "c59e86ef9d0280de582d6266add18fca339a77dfb321268e83033fe47101dc4d",
"index": 0,
"amount": 499999986604999,
"name": "RST-Cardano-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a1143e81c5ab485a807e6f0f76af1dd70cc5359b29e0b1229d0edfe490d33b67",
"index": 1,
"amount": 2002100000,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ed6449240d166b0e44c529b5bf06d210796473d3811b9aa0e15329599164c24",
"index": 2,
"amount": 44999999996000000,
"name": "RST-ADA.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 3,
"amount": 99999999979930580,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "6eccf30dc9e6d40e20f8dddc3d66e7ee45c82216906a2bacf14be9da8a811309",
"value": 1100000,
"index": 0,
"outputBlockId": "e9281ffbb4be4b17869a79f353c926eb9a8db781db891b16f8ab6bbb226ef0ff",
"outputTransactionId": "2d6baff61607166b03da7c68eec2d3ea4611ff88cbf36d964f648f64f8c2cfb8",
"outputIndex": 0,
"ergoTree": "100504000400040004000402d802d601c2a7d602b2a5730000ea02d196830301937201c2b2a473010093c272027201938cb2db63087202730200018cb2db6308a77303000198b2e4c6a70510730400ade4c6a7041ad901030ecdee7203",
"address": "MZ4DGXjbMTDYv4wnEPCSzRGp3infV4oBqQvJhnnePTb61wYrGaS2oiNAbesgJphKS3v5tA3cqaEXUdgRP5EsKBihXwSSogs4RNVhhsYyQiYHoWNo3jB7Fm2DDQSVLJZCf41sd",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03c236922914cf80be4b642b3ea02f532ceb120a82b7bc5b75a8c2b7dc70810a27,02b1d6b33c5ef442fa140d52352cab3e80780e98a44bcf6826604f100dbe2cbec8,0217b8b16c47f83c6e96324f4d65434cd77aca1ab969878ba8293b87001c4f216f,024df46a0f95903d15cc8c4f390bb3d0f97dee85273591a88575206baf2d54812e,03aa26adb6a56132f52c0919a351b738beee0d2a240d6b5a82eff27a0f662f3459,02d64bd38b103af945c5786dfbd63577779f49e7166e69f622dc5c243dcbbdbab9,024f0556828a51b54a2b17bf9d4cc4c7fd9faa3226513193ae0aeaf9075bad4aca,02a8b0cc627e16301030b1a74fc33d49dd364a2b818d5d25e02b4d9e3bfc1f4aac,03380c129ffb41ccc52dd58a128082ac381bb449ef67d230255eea284255998524,023605f5625c0f1099c5966a58a9291d7a546d432faeb99d88a99fa6b745b1fd31]"
},
"R5": {
"serializedValue": "10020e10",
"sigmaType": "Coll[SInt]",
"renderedValue": "[7,8]"
}
}
}
],
"outputs": [
{
"boxId": "e2fdd3d20e490dc5610d3cd2cc43a8ed3a0056c7a91e42050f3effdc32e7f334",
"transactionId": "5751d000acdfeeacebb8db15e18e4b89e35a63c5d1e183ea4927d5627dfd0db0",
"blockId": "17371a1d22d766886b24d29c6adb3b6e6bca093179d39bf460fd9006c34754dc",
"value": 300000,
"index": 0,
"globalIndex": 27888624,
"creationHeight": 971686,
"settlementHeight": 971692,
"ergoTree": "10130400040004040400040204000e204b1e5bcfbd6763b9cea8411841213611258fabed16293af6aa8cd8200b7e12860404040004000400010104020400040004000e202b4e7770ec837d2556de967fbc0aba353a09cb94eeacea1755512300391367ca05020101d807d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db63087205d607ae7206d901074d0e938c720701720295938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095720796830201938cb27206730a0001720293c27205c2a7730bd801d608c2a7d196830501ef720393c27201720893e4c67201041a7204938cb2db6308b2a4730c00730d0001b27204730e00957207d801d609b27206730f0096830701938c720901720293cbc272057310e6c67205051ae6c67205060e93e4c67205070ecb720893e4c67205041a7204938c72090273117312",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\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": "[a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856]"
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\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-test",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
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"serializedValue": "1a01203a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a]"
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"spentTransactionId": "4685d573ef5e87c088f3f23c462dfafbf91739edd86ff06a48a16e13c6effd59",
"mainChain": true
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{
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"value": 300000,
"index": 2,
"globalIndex": 27888626,
"creationHeight": 971686,
"settlementHeight": 971692,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\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": "EE7687i4URb4YuSGSQXPCb7yjKwPzLkrEB4u6kZdScqCkeY81qy66Mz69ohJQhx9whKit1dh7VuPpzSeuadba8PcuitfKFg4qGKQfw8DA2czaVeKNBNvpNmG7uRQSzUfvoU5oAE3MCjYMp5nZv7YXk9EG6ahEHkzjJcBR3Lppw1WkAbB4dKcVYjSPZnjZrLBj2NU87QEiDiBv9RouRNxiqZYejE9c3SVgAj1A8KtdhZ4Z7Np6hLyqiB17vQyLwkTqkY9ZKGjLxUN72ss28uqB3ZwkBG4nNzcsUA6AMURsnM12GSvw1rDMu3GiYsbA2AXZcRCt5nBCCcitiV8HBsfcYSqqiigzEpaYgEr5v4f7sFa7tXMbbfHJ83CXaj6dYVuJwP7nwomixToCK8syjvjkxdqgFVTYxY2idp6cagzV9ut8YEmjpqeL2AFYzA9BiuH9V4LXTQN7DPPcwxaCmkhKmjMNi2PidQhPbS7zk2m54sCkRDDCsAr8mPQPUia7HZ1GkwQ2YFeWrVUVXyS7su2MPRfw347t7Uq1SHv2LW",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "1a0120555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1]"
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{
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"blockId": "17371a1d22d766886b24d29c6adb3b6e6bca093179d39bf460fd9006c34754dc",
"value": 300000,
"index": 3,
"globalIndex": 27888627,
"creationHeight": 971686,
"settlementHeight": 971692,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\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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"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": "Cardano-RWT.V-test",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\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-test",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c]"
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{
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"transactionId": "5751d000acdfeeacebb8db15e18e4b89e35a63c5d1e183ea4927d5627dfd0db0",
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"value": 300000,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(43,78,119,112,-20,-125,125,37,86,-34,-106,127,-68,10,-70,53,58,9,-53,-108,-18,-84,-22,23,85,81,35,0,57,19,103,-54)\n17: 1\n18: true",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = SELF.tokens(placeholder[Int](1))._1\n val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n )\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box5.tokens\n val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n } else { placeholder[Boolean](11) }\n )\n )\n )\n } else {(\n val coll8 = SELF.propositionBytes\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n placeholder[Int](14)\n ), if (bool7) {(\n val tuple9 = coll6(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n Coll[Byte]\n ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n )\n )\n )} else { placeholder[Boolean](18) }\n )\n )\n )\n )}\n}",
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"decimals": 0,
"type": "EIP-004"
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"sigmaType": "Coll[Coll[SByte]]",
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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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"decimals": 0,
"type": "EIP-004"
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d0b75b,1b1e24,...)))}",
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"creationHeight": 971686,
"settlementHeight": 971692,
"ergoTree": "100304000e20b039e4445337697deaad703fc8d1fcb129c4577e8673394fa2403e54d484eeda0400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
"ergoTreeConstants": "0: 0\n1: Coll(-80,57,-28,68,83,55,105,125,-22,-83,112,63,-56,-47,-4,-79,41,-60,87,126,-122,115,57,79,-94,64,62,84,-44,-124,-18,-38)\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": "nB3L2PD3LSRBnqR67yQfE5ZFAez3ySUzwouks1yjB696YSzRZ3D9BdFDntw4DAfp7yXKXykxAYE9sSBXmv9PRH1znnAWZAwzb6NDK4pn1S7LTU3omgYnuabg7VkiFxqqdY3bqw7UXeHB4",
"assets": [
{
"tokenId": "c59e86ef9d0280de582d6266add18fca339a77dfb321268e83033fe47101dc4d",
"index": 0,
"amount": 499999986604999,
"name": "RST-Cardano-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a1143e81c5ab485a807e6f0f76af1dd70cc5359b29e0b1229d0edfe490d33b67",
"index": 1,
"amount": 2002100000,
"name": "Ergo-Token.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4ed6449240d166b0e44c529b5bf06d210796473d3811b9aa0e15329599164c24",
"index": 2,
"amount": 44999999994000000,
"name": "RST-ADA.V-test",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
"index": 3,
"amount": 99999999979930580,
"name": "RSN.V-test",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "8d216a931dfcda169d7c883d4f58c3fa86e12232110c7f3b946729d557076308",
"mainChain": true
},
{
"boxId": "87134ccf464b9f1514fdcd3c18ae911d4229cd09b96874b9a0f0d41a91f4957d",
"transactionId": "5751d000acdfeeacebb8db15e18e4b89e35a63c5d1e183ea4927d5627dfd0db0",
"blockId": "17371a1d22d766886b24d29c6adb3b6e6bca093179d39bf460fd9006c34754dc",
"value": 1100000,
"index": 14,
"globalIndex": 27888638,
"creationHeight": 971686,
"settlementHeight": 971692,
"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": "9d8db3e1b0bf6ceece9ec1a8f91a856431069a9dcbec6e0852c2c6302e0700d2",
"mainChain": true
}
],
"size": 5526,
"isUnconfirmed": false
}