Transaction
ID: bad3b6afad...a60c
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
17.28 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
16.52 ERG
Tokens:
Loading assets...
Outputs (11)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.56 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.381 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.17 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.21 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.724 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.172 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.345 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
19.22 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Transaction Details
Confirmations: 1,001,395
Total coins transferred: 33.8 ERG
Fees: 0.015 ERG
Fees per byte: 0.000005507 ERG
Raw Transaction Data
{
"id": "bad3b6afad5aa6171a69d74a1921c006d4852dffa3cdb3d616c988ae9f77a60c",
"blockId": "5eb6236f43f80d58d75c546507f980fe41f0bd37d2c458aac4610f4558ede132",
"inclusionHeight": 767657,
"timestamp": 1654704527660,
"index": 10,
"globalIndex": 3324008,
"numConfirmations": 1001395,
"inputs": [
{
"boxId": "cda2ed909c4cb6199b543addaf88762ad9a210459e311b583fe9f0446a8b195c",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "25171ca4ea3e9e2ce743cf1458f28a2f99872055525815b97abeb27ba94c77e4",
"outputTransactionId": "642a6edd344eebb88e5c754723deaf121618928efcf6190c5965fc22d3f683de",
"outputIndex": 0,
"outputGlobalIndex": 17621155,
"outputCreatedAt": 767292,
"outputSettledAt": 767294,
"ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
"ergoTreeScript": "{\n val opt1 = SELF.R6[Coll[Long]]\n val opt2 = SELF.R7[Coll[Coll[Byte]]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n placeholder[Int](0)\n ) == SELF\n )\n )\n val box4 = OUTPUTS(placeholder[Int](1))\n val box5 = INPUTS(placeholder[Int](2))\n val opt6 = box4.R6[Coll[Long]]\n if (bool3) {\n sigmaProp(\n if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n } else { placeholder[Boolean](4) }) {\n allOf(\n Coll[Boolean](\n box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n Coll[Coll[Byte]]\n ].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n Coll[Coll[Byte]]\n ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n )\n )\n } else { placeholder[Boolean](7) }) {(\n val coll7 = opt6.get\n val coll8 = opt1.get\n val l9 = coll7(placeholder[Int](8))\n (\n (\n (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n )} else { placeholder[Boolean](17) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n Coll[(Coll[Byte], Int)]\n ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](18) }\n )\n } else { sigmaProp(placeholder[Boolean](19)) }\n}",
"address": "721jRBm8dr7gdswEJFzioVg8TDbkMpXzobYwVbFaRrjYkC1aS9WRotTN3uX84pMrXSZjPNjWCbGjsHwmU5TsVyEv7aXVkzia6pFej3MNNPxtgi2LZTrNyiYgbV1QEa16Fj6BtWm686HueAdrEZ58bbFCyXLcWQihkexi7MzKHH7joGDfh8GEzJvTavqqiBrAZ7Cws49mRYuKBJ5iX2KrnrK6PhBTuhruSCU8GBQcBDm3tqWokeMtoSe9U1uxJ2TfeedbQZt3BBP4eCveAZfexDaqZ9n7EXLs4jUzhdNFzA44yBnZuNXfsAyDzshjnoWDhbXT8akBkcFy9G2ctV1kr9azpqbbDLRGR6jHgReusnP29tfDtvokjY9ZUvj7cBviYf4EYNGyz7QYt3E1JgvZH6dvsYyrPD5rka68AxwuLbvVVvbYa6PAWvJqRD8wZvWMDYGxVHmzZMLxZvQef7VqBFboLCGyZRsmScLPVQBGB98XzayzJBEfriJnf3sfyax5z4qUfjNsdnNmA7bTfGJzsGQ1cRza85D",
"assets": [
{
"tokenId": "3d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e502",
"index": 0,
"amount": 1,
"name": "COMET Smart Pool",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd034cca6982e4a0ef124258da3a003691ec27a44b07081067ba25bcae5c0f844727,[55101,1000000000,0,9,0]],[0008cd033cfc082ca00c859429d2e9af42d1886b491ced89dcfe66f5c7c3669cdcc29e94,[15618,500000000,0,9,0]],[0008cd02170c5d83926f8073b365e36db5c76e390a3f7461024fa57c3241f0fd4924e941,[50337,5000000000,2560000000,9,0]],[0008cd03773455fe31c3ea8de166acef6ce1749b8826520396d3591d86b2f18039942a94,[16786,1000000000,0,9,0]],[0008cd03ffbb5b539da7b5ddba50189b766135e77522ec5ba5f7f0982776c87a238b0f39,[7640,200000000,0,9,0]],[0008cd0356bb31a043aa84d8d288c33a31fcc8cd1d7a43826ed8ed867b540e7a64a1621a,[10786,5000000000,1741000000,9,0]],[0008cd0307fabee80640154b26a1bc452c45ef5fcae406cb6ace2c20c9f542caa0c21f0d,[25348,5000000000,4173000000,9,0]],[0008cd03911ec1422537b585cff0e3bc9250d09c2e83587c270bb66324bbc1e16cdc9b92,[71528,10000000000,3638000000,9,0]],[0008cd03b92e545839125aea3737e80e1f54c52b7292c413481ebe829236618eb15ac498,[0,250000000,249000000,0,0]],[0008cd03d53bdd69429026dcc9c288b80a756a1398cd7cbeaac90b01770efc55099c9e16,[81753,10000000000,4158000000,9,0]]]"
},
"R5": {
"serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
},
"R6": {
"serializedValue": "110512f8d45da6dd5c0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[9,767292,759635,0,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
}
},
{
"boxId": "9529bf7aa770a51f1a54b0d4205f88395b5ffbe3802e70cc2704b2acef3aacf0",
"value": 5000000,
"index": 1,
"spendingProof": "9e5ce9e4b022be1cf0eb9f605fe8423946cc6c91db0c61cfb651d5a96099b0680899c71b59bac7b825c12f398d39a5ad811d45a1987a1d66",
"outputBlockId": "e6d4d484f7d7446348673187b6f03e51f070d3f4ff86df7a8a5d4b860dcd51ed",
"outputTransactionId": "4e42075a42077ce4dd60b5913868c50ea0c3f077123a09908a6760725f4e01af",
"outputIndex": 0,
"outputGlobalIndex": 17640451,
"outputCreatedAt": 767654,
"outputSettledAt": 767656,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
"renderedValue": "[[0008cd034cca6982e4a0ef124258da3a003691ec27a44b07081067ba25bcae5c0f844727,[43820,1000000000,0,10,0]],[0008cd033cfc082ca00c859429d2e9af42d1886b491ced89dcfe66f5c7c3669cdcc29e94,[14651,500000000,0,10,0]],[0008cd02170c5d83926f8073b365e36db5c76e390a3f7461024fa57c3241f0fd4924e941,[53663,5000000000,0,10,0]],[0008cd03773455fe31c3ea8de166acef6ce1749b8826520396d3591d86b2f18039942a94,[18157,1000000000,897000000,10,0]],[0008cd03ffbb5b539da7b5ddba50189b766135e77522ec5ba5f7f0982776c87a238b0f39,[7707,200000000,0,10,0]],[0008cd0356bb31a043aa84d8d288c33a31fcc8cd1d7a43826ed8ed867b540e7a64a1621a,[10786,5000000000,2274000000,10,0]],[0008cd0307fabee80640154b26a1bc452c45ef5fcae406cb6ace2c20c9f542caa0c21f0d,[27977,5000000000,0,10,0]],[0008cd03911ec1422537b585cff0e3bc9250d09c2e83587c270bb66324bbc1e16cdc9b92,[78764,10000000000,7532000000,10,0]],[0008cd03b92e545839125aea3737e80e1f54c52b7292c413481ebe829236618eb15ac498,[0,250000000,249000000,-1,0]],[0008cd03d53bdd69429026dcc9c288b80a756a1398cd7cbeaac90b01770efc55099c9e16,[83214,10000000000,8272000000,10,0]]]"
},
"R5": {
"serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
"sigmaType": "Coll[(Coll[SByte], SInt)]",
"renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
},
"R6": {
"serializedValue": "110514ccda5da6dd5c0000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,767654,759635,0,0]"
},
"R7": {
"serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
}
},
{
"boxId": "fa0fc9e6de733bf6d774a47e2b2ed196e4f668a5cc391fe2b4ed036a3019208d",
"value": 17275000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "3142802ef346c7fa611093b223c6a09a3c27dc00394febe241b18ed6f25325b5",
"outputTransactionId": "9ada7164afc86225b592c8eef7aaf583d4c9ce449ff3798f377f982870ab8d24",
"outputIndex": 1,
"outputGlobalIndex": 17636459,
"outputCreatedAt": 767588,
"outputSettledAt": 767590,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "277xcwgMLFPCeLF8yY3gQfJyxanZbB4H74CAJx8Cb2bwBd4UJ2WBvALUmMkW8R9uciUrHvm8TtSK3UGRfWnxMG1jScBSbPkGfLv5cujvTbZtgh2o9g8B4MK8SNgbJvSXgzRsWsbx7kfzqdvsUVEy7WMhKRWLzhcsRoA7cP6f263V23NNX4P1nLM3KK5XKgRfvkNEvwCrXHXtN225THRsTp6s4ErWiQPpMNz9NJ5Kz9urVeKide3oe4HjD52J7C6tBrKLkmvyS1nqxnsgTmbP9w9QV6AqV8Bi6f25TN3hpxEMBZKWiXTFWAtqDvx3zvcQKYWekXtExXyUoQ4FdYyTvZEkKSF94E4pm9ttG9PqroMBqRk6nURqBuCsFqnQntRz3XEgQdpEGW2qR91VPECxFXLvRSRi4PZ3mCzq1fJaJuycSByGiFLVy1Aqasd5wk47TGEuSmmZQCXiQw2ZYbHadPEZVoT4yazKv7CCzLB7TjSj6Wuzjn6XRwQaH4oncQq3RgE6GfPckAtD9zy5QBkPmwTDJSyahXfagXrsnLm8gGyomq8RNcutDJs1bFmNn4HwHBGcTp761HmK8h7FX4wShQ59Sy18zEzPdrv9Kuoz6tPJJw2WgHC5kU2aor4P6tejEmScy6gssXKUrV4paUz8RMQsPXRnCposTRCWUuYYjxLJSxPE68TYPRLnPRCEyfSDXxQDWpo44ohnwuv7Tc85dP36ccJPNCD4ba9qGwpfaa2jayKHzbng4Mcw5Knp7WnGugMP8nzcnoCDoZGZBvEKMCEVDWXrNkrjpPo8tUzRXVof4ybgND1x4jxcaPPHXyGgzq9kfqAiQdtkkmMcV6Mn3ATggcAWbYvhfpvh1XAidMjJC15uG4wwtaBB7QaXCVPJQefBah4QcCX2SPqFyw8VrVArfBGigQADiE5kUhCt9ug4Kkiaxj6USktwVz74nDTABwVjDEpLyxxc4UAEpiEm6tJNbs83x4rWxPjkLMyGpQKsSNYXQD6pgrn9g6ytsd9n1bfzotkuT26nyDRzv5R5g2u99767H5cjegn7SmfMyPd69YeSm7nnt1tvUQDGgtwS5PzHj3dH5xr8sg4AtvZNv2LKvdL6j8QKxfSjW7YqYTbE9MnBMQucAcettDKJjmACMsAg8TPxfaWButL74y5ZzuTjgcnGZmJGdNjzZT3ye6UfYKLn5xuKbsBsaPrw3w19tzgkY7FSYK6Wc2FefzWbnvT2Aw7y",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 86379,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "00ea3bd90661f7fe54b59539e9343ebd58906367e81cf10453ea065ffb154057",
"value": 16519000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "25171ca4ea3e9e2ce743cf1458f28a2f99872055525815b97abeb27ba94c77e4",
"outputTransactionId": "642a6edd344eebb88e5c754723deaf121618928efcf6190c5965fc22d3f683de",
"outputIndex": 7,
"outputGlobalIndex": 17621162,
"outputCreatedAt": 767292,
"outputSettledAt": 767294,
"ergoTree": "10360400040004000e203d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e50204020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a040004020400040404010404040104000500040005010100010004010401040005000400050101000100040105000400040101000101050004000501050001010100d803d601b2a4730000d602c2a7d6037301d195938cb2db63087201730200017303d807d604e4c6b2a4730400040c3c0e11d605e4c67201040c3c0e11d60699b0b5a4d901066393c2720672027305d9010641639a8c720601c18c720602b0b57205d901063c0e11d801d6088c7206028fb27208730600b272087307007308d90106413c0e119a8c720601b28c8c72060202730900d607ade4c67201050c4c0ed901074c0ed801d6099d9c7e8c720702057206730a86028c7207019972099e7209730bd608ada5d9010863c27208d609ada5d9010963c17209d60ab0b57204d9010a3c0e11d801d60c8c720a028fb2720c730c00b2720c730d00730ed9010a413c0e119a8c720a01b28c8c720a0202730f00ededaf7204d9010b3c0e11d807d60d8c720b01d60edc0c1aad7205d9010e3c0e118c720e0102720d7310d60f8c720b02d610dad9011005d801d6129d9c99b072077206d90112414d0e998c7212018c8c721202029c73117eb17204057210b072047312d90112413c0e119a8c721201b28c8c721202027313009972129e7212731401b2720f731500d611b2720f731600d612dc0c1a720802720d7317d613b2720f7318009594720e7319d801d6149ab2b2ad7205d901143c0e118c721402720e00731a00721095927214721195947212731bd801d615db6308b2a57212009591b17215731c9683030193b272097212007214937213731d92b2ad7215d901164d0e8c721602731e01731f7e72030573207321ed93721273229372137214959272107211959472127323d801d614db6308b2a57212009591b1721473249683030193b272097212007210937213732592b2ad7214d901154d0e8c72150273260173277e72030573287329ed937212732a9372137210af7207d9010b4d0ed801d60d8c720b029591720d732bd801d60edc0c1a7208028c720b01732c9594720e732d93c1b2a5720e00720d732e732f9591720a7330aea5d9010b63eded93c1720b720a93c2720b720292b2addb6308720bd9010d4d0e8c720d027331017332733373347335",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 113144,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "da2dffc946d45389d6c88df8310bd7b698cfe1d3121fece0a2bd332228b4708f",
"transactionId": "bad3b6afad5aa6171a69d74a1921c006d4852dffa3cdb3d616c988ae9f77a60c",
"blockId": "5eb6236f43f80d58d75c546507f980fe41f0bd37d2c458aac4610f4558ede132",
"value": 1000000,
"index": 0,
"globalIndex": 17640651,
"creationHeight": 767654,
"settlementHeight": 767657,
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"ergoTreeScript": "{\n val opt1 = SELF.R6[Coll[Long]]\n val opt2 = SELF.R7[Coll[Coll[Byte]]]\n val bool3 = allOf(\n Coll[Boolean](\n SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n placeholder[Int](0)\n ) == SELF\n )\n )\n val box4 = OUTPUTS(placeholder[Int](1))\n val box5 = INPUTS(placeholder[Int](2))\n val opt6 = box4.R6[Coll[Long]]\n if (bool3) {\n sigmaProp(\n if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n } else { placeholder[Boolean](4) }) {\n allOf(\n Coll[Boolean](\n box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n Coll[Coll[Byte]]\n ].isDefined\n )\n )\n } else { placeholder[Boolean](5) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n Coll[Coll[Byte]]\n ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n )\n )\n } else { placeholder[Boolean](7) }) {(\n val coll7 = opt6.get\n val coll8 = opt1.get\n val l9 = coll7(placeholder[Int](8))\n (\n (\n (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n )} else { placeholder[Boolean](17) }) {\n allOf(\n Coll[Boolean](\n box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n Coll[(Coll[Byte], Int)]\n ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](18) }\n )\n } else { sigmaProp(placeholder[Boolean](19)) }\n}",
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{
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"index": 0,
"amount": 1,
"name": "COMET Smart Pool",
"decimals": 0,
"type": "EIP-004"
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"renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[10,767654,759635,0,0]"
},
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
}
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"mainChain": true
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{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(7fabee,bb27aa,...)))}",
"address": "9gXKWuX7wfrZgeKhwgpw269cXZt82N5RMmKrFLsFpJvSGaYqyDj",
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = SELF.propositionBytes\n val i3 = placeholder[Int](1)\n sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n val coll8 = tuple6._2\n coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n (tuple7._1, l9 - l9 % placeholder[Long](11))\n })\n val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n val coll13 = tuple11._1\n val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n val coll15 = tuple11._2\n val l16 = {(l16: Long) =>\n val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n l18 - l18 % placeholder[Long](20)\n }(coll15(placeholder[Int](21)))\n val l17 = coll15(placeholder[Int](22))\n val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n val l19 = coll15(placeholder[Int](24))\n if (i14 != placeholder[Int](25)) {(\n val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n val coll21 = OUTPUTS(i18).tokens\n if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n val coll20 = OUTPUTS(i18).tokens\n if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n val l13 = tuple11._2\n if (l13 > placeholder[Long](43)) {(\n val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n )} else { placeholder[Boolean](53) })\n}",
"address": "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",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 129321,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "0d991d745fec2c165458b80383992c1bf6559ac7dab1217975dc4c21f9500e8a",
"mainChain": true
},
{
"boxId": "e436b2ffcef74899ef1dabaf39367283752c28b05a06cc18c59ec59f838339e2",
"transactionId": "bad3b6afad5aa6171a69d74a1921c006d4852dffa3cdb3d616c988ae9f77a60c",
"blockId": "5eb6236f43f80d58d75c546507f980fe41f0bd37d2c458aac4610f4558ede132",
"value": 15000000,
"index": 9,
"globalIndex": 17640660,
"creationHeight": 767654,
"settlementHeight": 767657,
"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": "c40dcf696f51b54fa25e8ee4e2b438d895d2824ff56343432e6fdda1a23a35e9",
"mainChain": true
},
{
"boxId": "954cbe062476703243b000216fc15fbbd7c4da8f24237bdf9aee0deb1b4f882d",
"transactionId": "bad3b6afad5aa6171a69d74a1921c006d4852dffa3cdb3d616c988ae9f77a60c",
"blockId": "5eb6236f43f80d58d75c546507f980fe41f0bd37d2c458aac4610f4558ede132",
"value": 3000000,
"index": 10,
"globalIndex": 17640661,
"creationHeight": 767654,
"settlementHeight": 767657,
"ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
"address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "151b1ff364d64c4396984846be9869669a690414dd3b46370468bddebb7bed45",
"mainChain": true
}
],
"size": 2724,
"isUnconfirmed": false
}