Transaction
ID: ccf27f6025...102f
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 364,942
Total coins transferred: 0.004 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000547 ERG
Raw Transaction Data
{
"id": "ccf27f60250e76918c29dc8a5e495c95888ed1f7beea62f76a3ee4e3c834102f",
"blockId": "5623b3b8988c73b8a2e6ed007ecd77bb57159ce6efc2db632d46386aaf04f691",
"inclusionHeight": 1405709,
"timestamp": 1732819457127,
"index": 1,
"globalIndex": 8135288,
"numConfirmations": 364942,
"inputs": [
{
"boxId": "a1fae47c166b1dbf7770f90b15cd4c67c7e96a6e19e42ff56f531514a8aad2b6",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "b1a43aff04ee1650cd5c59e29420f28b81bc12543735487d11aa00f2403f5c06",
"outputTransactionId": "6f8ca8f217a389288b3979569fbd446c3d726f491a0f37ac0c2207efa5934749",
"outputIndex": 2,
"outputGlobalIndex": 44086085,
"outputCreatedAt": 1401215,
"outputSettledAt": 1401219,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n2: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: 2\n5: 6\n6: 38\n7: 2\n8: 1\n9: 0\n10: 0\n11: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n26: 0\n27: 3000000\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 1\n34: 0\n35: 1\n36: 9\n37: 1000\n38: 1\n39: 1\n40: 9\n41: 1000\n42: -2\n43: 1\n44: 1\n45: 33\n46: 1000000\n47: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n48: 1\n49: 0\n50: 1\n51: 9\n52: 0\n53: 3\n54: 0\n55: 0\n56: 8\n57: 8\n58: 1\n59: 8\n60: 0\n61: 2\n62: 1\n63: 2\n64: 0\n65: 8\n66: 16\n67: 0\n68: 0\n69: 8\n70: 8\n71: 1\n72: 8\n73: 0\n74: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R4[Coll[Int]].get\n val coll4 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll5 = coll4(placeholder[Int](4)).get.slice(placeholder[Int](5), placeholder[Int](6))\n val coll6 = SELF.R5[Coll[Long]].get\n val coll7 = coll6.slice(placeholder[Int](7), coll6.size)\n val opt8 = getVar[(Int, Long)](4.toByte)\n val tuple9 = opt8.get\n val i10 = tuple9._1\n val l11 = tuple9._2\n val avlTree12 = SELF.R6[AvlTree].get\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll6(placeholder[Int](9))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11), if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll3(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box15 = coll1(placeholder[Int](16))\n val box16 = coll1(placeholder[Int](17))\n val box17 = OUTPUTS(placeholder[Int](18))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt8\n val tuple21 = tuple9\n val box22 = OUTPUTS(placeholder[Int](19))\n val coll23 = box16.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](23))._1 == coll5, box16.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), (\n coll7.indices.forall({(i25: Int) => if (i25 == i10) { coll7(i25) == l11 } else { coll7(i25) <= l11 } }) && (coll7.size > i10)\n ) && (i10 >= placeholder[Int](26)), allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](27), box17.tokens(\n placeholder[Int](28)\n ) == coll18(placeholder[Int](29)), coll19(placeholder[Int](30)) == coll3(placeholder[Int](31)), box17.R5[Coll[Long]].get == coll6, box17.R6[\n AvlTree\n ].get == avlTree12, coll19(placeholder[Int](32)) == if ((\n l13 > box15.R5[Coll[Long]].get(placeholder[Int](33)) * byteArrayToLong(\n coll4(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ) / placeholder[Long](37)\n ) && \n val l25 = l11\n l25 > l13 * byteArrayToLong(coll4(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40))) / placeholder[Long](41)\n ) { i10 } else { placeholder[Int](42) }\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](43)).get.slice(\n placeholder[Int](44), placeholder[Int](45)\n ), box22.value >= placeholder[Long](46), tuple24._1 == placeholder[Coll[Byte]](47), tuple24._2 >= min(\n coll18(placeholder[Int](48))._2, byteArrayToLong(coll23(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](52))\n val box16 = INPUTS(placeholder[Int](53))\n val coll17 = box16.tokens(placeholder[Int](54))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](55), coll18.size / placeholder[Int](56)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](57), i19 + placeholder[Int](58) * placeholder[Int](59))) }\n )\n val l20 = coll19.fold(placeholder[Long](60), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](61))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree12.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](62))\n val coll26 = coll22.slice(placeholder[Int](63), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](64)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](65), placeholder[Int](66)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll3, coll22(placeholder[Int](67)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](68), coll28.size / placeholder[Int](69)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](70), i29 + placeholder[Int](71) * placeholder[Int](72))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](73), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll7.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll7.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree12.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree12.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](74))._1 == coll5, coll22 != coll6\n )\n )\n )}\n )\n )\n )\n}",
"address": "tzVGDo5ekSiA2Sm4oHuhVrcz5CuUYBgFnhNxSbvvU679LVSrwykpopjCVEXMMWGFYgBGcBXF6VCbA9EuMch7arv4u9A8GejNfkyzijVHvo16qPyx8sNLZXtWV815BqSrzbqmvBm4th2aBWE5Dy3s5Y4t9cXiqXDNtXw1qjBF3JmRpNJgvPTPt2ZhsLtCoV1d4D2j6TQpygxwEm7ex9oYsRFfTNQ6j76FvwwaJ5D3vP88UJcgSY5nzjqsixbs71NLe5FybD5KGcHL7odtcYQkZEbJE7GRKd5ZvQ1rRffK4Z8jMM2Z86KKSm5T4iSKENajzm5wZeC3JbKr676n2e3Honh9P64DnDV6ywQdxoAu8w5UnTHEsJTdHxdLgRQnS9ayGgbQ9aZZn6oLcdfHR2iP7CDkEXHBTPDKVHyjbJTBZHxzHjhKN6ZD8cidyThaoTFPaJCxyEvZmWWuYPUsVSPwLg9BPX6q9c6bC1NrADfaGL6rqcFrQ6JFwMZEJJwLB1a3W3ttsa3Ej7uFpprKftu5G4bZtSNxyaafoHeyv6YbhNtmD69xXFGTSfjgicNUnab6AhDdwLJYPihQk2audCKCCZZvheAHj8AYXgGZuZR1PUP1eFxWR9q7jJNiH8XcimQsYSffmJSXCUXFqnX15Pd8tZLRTCRqfiqjoQfckwYr3wx1U1MaCGCqC9i8YvcXZE4E71xwmQNgWv4raBkiKTm1qkMcRhqRzCjeBsPHEzGCRA1qN8yXZXBMuwfkPDy1cdKPNcf28UrJbqXg4MkHpDnkFFLPYDzThK9fNX1LLvEa8PBz8u2gWbUJFExWQ3uVYkXDzokZt6WWrxkgo7hr1ZWscRxsM9GZmhphtTp5Us1MR1tXQHRFWAAH1unxPguvjbqChqRJNtaxy3QvX5e99MAZtrpguCW7dDJNNJhg65i9FnhFpevYvcWpFDWehUAxwBA7ScufhXSs1UA6YtSUhp8iUbYxUQB7n1cZM7V4F8jYz6JLg4idz6FaSPMrByLshhts934rvEKGxxqbXU1EyXQrQ4BiwVW9btJG1yjLxNdmqeC6xzsbjhCLUXW1aLWvaZyhevEQjGJuGY786GqkUssXK9UbHtmpFqNAenhgzqAZrDZY3N4DQkgcnsXqCa5mWXkwQ4aVnXiviF2gQGuxsm3tcUhnJoEoBgNfHgZkRoThBssnLeFYxf7aba1RU2aB8zcpxuYZ5khYHAhP498oQagwv9SVgbBYzZizoKbYdFyPfTcoXvzNeAMsUCbtbjgBDJXFrJNZ6z2zA9NAxwE9vuZFdwwkqDXTFg9nXLWD3kanbV855k5YXERg13PQvcZASortLN2eK7TYixq2y4wgkxBErv3jqztH8bYJ4Q5wjeA46vbb9znc9TNHKotLqbz8azeWPRXCJfQdRvzgVZiwVeom6bgKBeAiFPZUpxQDseeKv79AqME8N625D8GEHBaGWEL8QRqkhLJxS8bg12aSTKCVhRxkArySjSMhT3me68LWEFd4zHNKjDjQvSU4GBZ1UQM3JEUV4urnXkH9grS2FJbqyZuKU4QTi55F1sQFjCoyXX7xZrYBD4fCc1DQHXzuaJNuL9dUogQHzgaKxFhtbusaQF3opZYh6up9XVJc9kKaP9F9HvBAXtxf3B5onMiC68Nezu8qZys3GYJshaL6KFpADeRvjFfuiCTM2Q2dzbqFgFsJsWAs27HV16PNZ2DE8Gt7ka8xAH4njUpkxWR7FdEjz1pjRwLxFZALX7eeUBxtda9usyZXcR1utTdEvy7bh32nw9syadbRe3fwJuZbhhcAXzmQxLWdn4fYbnksFDgrPHiE8fLAZgdBv6df13WUZpoLuZEZXG9KBLD1arh3XGW8iJW3K8xYdArDVhGooxjSnT8521pVrjRYtwrV87AKMxR5up6tqo9U7ZeTETWdYhnDhQhrJ",
"assets": [
{
"tokenId": "3fe8946fb85057a291e577fc97ed461325069219bc3f6f617efa46d6b3395ca5",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020801",
"sigmaType": "Coll[SInt]",
"renderedValue": "[4,-1]"
},
"R5": {
"serializedValue": "1104a0faa6c1ee640e000e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1732819345040,7,0,7]"
},
"R6": {
"serializedValue": "645f5c5a82398441c185689259791a85d5a1e6eca272d4c92e56766ee78429a38303072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e3353656e642050485020746f6b656e73202831422920746f2043616e6e6f6e5120746f207365742d7570204d454d4520636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "53656e642050485020746f6b656e73202831422920746f2043616e6e6f6e5120746f207365742d7570204d454d4520636f696e"
}
}
}
],
"dataInputs": [
{
"boxId": "651221d2bd0c02a4756003860799af359db0047da0eb466cf5587059eb24715b",
"value": 1000000,
"index": 0,
"outputBlockId": "e5ebf93d196afd42ba5cd02167fd81b7c4e26c60903a796fb8469dc6e85a3f95",
"outputTransactionId": "f9333ef9ea36dba075581664d1de7f920091a962255a7e6a78dbc6b3b1937465",
"outputIndex": 1,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e205dbad4002a5cdebad07509c47a408046cae9c7afea8d8793287e78aae38df05c0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfjz3gCRdb8JZekMWa7LB47tor3y9P6rbiwuyqjbiB6ZsoA3zTNFgUW5JWVCqB7RJhdEkerWUz3dWVmU53coDL2JvtuM2FC4vxmA2ExDw7LhHYuoVs7gs9exkj3hiqRph3v6dujseDyCYV3jB4TqVBPncsamE5FCr92dcNvAkfUeyhRgF8w8c1eyHCyLa",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64990a53458d4ad9996c1ad6ca713b52209ac2419d7efb827849a5d1f8ca6bf9d606072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "73163c4a35c1fd30fa032369e197e6a7821d0ab264855b681b4c7c8c5ef9f356",
"value": 1000000,
"index": 1,
"outputBlockId": "aa302fa187604bd5337e4010029f8794498b58d4609a38863f7b3c9fd3f2a0cb",
"outputTransactionId": "7c7ee885dc65e1cd17ccabc3d2283307be4499090361d79eaaa8fc2e4e9de708",
"outputIndex": 0,
"ergoTree": "1032040004020e20deaecf5b64bad6f5570bad0a610c4e484957cf4782308400bc90404c1d1410da0e20039208bc4eef9a03e8d78b8663a301bb5faddca78be19d7fe535b3c64cbefe420e208830612c52355f6f280d1297f19f67b078c9daa7d7b04b459c91cc644957c2800e208bc78f1c6aaec91e628e15cf668c16cc1e9bd8e4b9b7e16d6318b5f523a5e9bd0e204fd8b0d6d98242726f57b3dfa686126792b8e5056e1d51b6e90d6880cf2dcdc50e20892e6f47a10d5c90b87ad4863355cead00c3e2983217ee15533253cd9a6025c20e203a11955c4719e588bce6a7611d27bd1fdfdb57385caee266d8040c894f1c2e1d0e2009820fcb8871fb450c3e06b7cb5e27b0455087a366621a9dde7582a019111e3e040004000e20a8c04f69d1fbfbfb3ca0062f6dc7f0dc3bf5f94d54e1bff46e8af0ffde3ca8fe0400040c02000402040204420201040404020442020204060402044202030408040204420204040a040204420205040c040204420206040e040204420400040204420400040004020402d808d601b2db6501fe730000d602e4e30102d6037e720204d604b2a4730100d605dc640be4c6720104640283080e73027303730473057306730773087309e4e3000ed606b2a5730a00d607db63087206d608db6308a7d196830401938cb2db63087201730b0001730ced927203730d907203730e97830701ed937202730f93cbc27204b4e4b2720573100073117312ed937202731393cbc27204b4e4b2720573140073157316ed937202731793cbc27204b4e4b272057318007319731aed937202731b93cbc27204b4e4b27205731c00731d731eed937202731f93cbc27204b4e4b2720573200073217322ed937202732393cbc27204b4e4b2720573240073257326ed937202732793cbc27204b4e4b272057328007329732a9683030193cbc27206b4e4b27205732b00732c732d93b27207732e00b27208732f00938cb27207733000018cb2720873310001",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1107a8d9f9ee9b641a1a38380000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1721727137364,13,13,28,28,0,0]"
},
"R6": {
"serializedValue": "1d0501000100010001000100",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0],[0],[0],[0],[0]]"
},
"R8": {
"serializedValue": "11020000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c640237087c86273071bab3df6e99a4e0e1f123d9e3d4bdf72da85e62263ffe4c8ad00507200013f8829387c25f1d2abbaffcf63318a207bd7b744065b9e9484349853d7145e005072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "74ce8865ca383b6c5f0fbb4fd2f60305bb062b19c824292f5e3fd0f9c4783786",
"value": 1000000,
"index": 2,
"outputBlockId": "7e4ec4a64608f03214593a46744ae0d82d43ae634feb4e534d2bc5e5141e00ad",
"outputTransactionId": "c2ca760f51a4f3defaf6f423d5310a045e6ac4e7a81bb85e7755fe53dfb829db",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a510100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCuknDpV3PzizoM2efhYNFH3o7uHxSjqDTXCRdcV2F4vMAbtG8fxGWK9ZxWniTZ6GFE5mT7DEpU6W6piUfh32UkeqxrkxS1Gb6KitQDAbSnrTwCceBFbSkmGRLmPxi26PrzREXVVz4UnXjm1xmFrng6vu6NtPvPfEzz1a4asj856HV8Pq1mMx3UgNfeA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64bb6f3f4b3549eb4381b404f75cd1524bbd3530cdc0f90436bea2434431e749e708072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "3643e74ad4e396922f8f7a92eb58adf9a8e15446217b039cc0a3fa717837a1d2",
"transactionId": "ccf27f60250e76918c29dc8a5e495c95888ed1f7beea62f76a3ee4e3c834102f",
"blockId": "5623b3b8988c73b8a2e6ed007ecd77bb57159ce6efc2db632d46386aaf04f691",
"value": 1000000,
"index": 0,
"globalIndex": 44249991,
"creationHeight": 1405707,
"settlementHeight": 1405709,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n2: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: 2\n5: 6\n6: 38\n7: 2\n8: 1\n9: 0\n10: 0\n11: Coll(-88,-64,79,105,-47,-5,-5,-5,60,-96,6,47,109,-57,-16,-36,59,-11,-7,77,84,-31,-65,-12,110,-118,-16,-1,-34,60,-88,-2)\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n26: 0\n27: 3000000\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 1\n34: 0\n35: 1\n36: 9\n37: 1000\n38: 1\n39: 1\n40: 9\n41: 1000\n42: -2\n43: 1\n44: 1\n45: 33\n46: 1000000\n47: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n48: 1\n49: 0\n50: 1\n51: 9\n52: 0\n53: 3\n54: 0\n55: 0\n56: 8\n57: 8\n58: 1\n59: 8\n60: 0\n61: 2\n62: 1\n63: 2\n64: 0\n65: 8\n66: 16\n67: 0\n68: 0\n69: 8\n70: 8\n71: 1\n72: 8\n73: 0\n74: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R4[Coll[Int]].get\n val coll4 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll5 = coll4(placeholder[Int](4)).get.slice(placeholder[Int](5), placeholder[Int](6))\n val coll6 = SELF.R5[Coll[Long]].get\n val coll7 = coll6.slice(placeholder[Int](7), coll6.size)\n val opt8 = getVar[(Int, Long)](4.toByte)\n val tuple9 = opt8.get\n val i10 = tuple9._1\n val l11 = tuple9._2\n val avlTree12 = SELF.R6[AvlTree].get\n val l13 = coll6(placeholder[Int](8))\n val l14 = coll6(placeholder[Int](9))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11), if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll3(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box15 = coll1(placeholder[Int](16))\n val box16 = coll1(placeholder[Int](17))\n val box17 = OUTPUTS(placeholder[Int](18))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt8\n val tuple21 = tuple9\n val box22 = OUTPUTS(placeholder[Int](19))\n val coll23 = box16.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](23))._1 == coll5, box16.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), (\n coll7.indices.forall({(i25: Int) => if (i25 == i10) { coll7(i25) == l11 } else { coll7(i25) <= l11 } }) && (coll7.size > i10)\n ) && (i10 >= placeholder[Int](26)), allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](27), box17.tokens(\n placeholder[Int](28)\n ) == coll18(placeholder[Int](29)), coll19(placeholder[Int](30)) == coll3(placeholder[Int](31)), box17.R5[Coll[Long]].get == coll6, box17.R6[\n AvlTree\n ].get == avlTree12, coll19(placeholder[Int](32)) == if ((\n l13 > box15.R5[Coll[Long]].get(placeholder[Int](33)) * byteArrayToLong(\n coll4(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ) / placeholder[Long](37)\n ) && \n val l25 = l11\n l25 > l13 * byteArrayToLong(coll4(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40))) / placeholder[Long](41)\n ) { i10 } else { placeholder[Int](42) }\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](43)).get.slice(\n placeholder[Int](44), placeholder[Int](45)\n ), box22.value >= placeholder[Long](46), tuple24._1 == placeholder[Coll[Byte]](47), tuple24._2 >= min(\n coll18(placeholder[Int](48))._2, byteArrayToLong(coll23(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](52))\n val box16 = INPUTS(placeholder[Int](53))\n val coll17 = box16.tokens(placeholder[Int](54))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](55), coll18.size / placeholder[Int](56)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](57), i19 + placeholder[Int](58) * placeholder[Int](59))) }\n )\n val l20 = coll19.fold(placeholder[Long](60), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](61))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree12.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](62))\n val coll26 = coll22.slice(placeholder[Int](63), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](64)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](65), placeholder[Int](66)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll3, coll22(placeholder[Int](67)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](68), coll28.size / placeholder[Int](69)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](70), i29 + placeholder[Int](71) * placeholder[Int](72))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](73), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll7.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll7.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree12.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree12.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](74))._1 == coll5, coll22 != coll6\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "3fe8946fb85057a291e577fc97ed461325069219bc3f6f617efa46d6b3395ca5",
"index": 0,
"amount": 1,
"name": "Sigmanauts Mining DAO Proposal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020802",
"sigmaType": "Coll[SInt]",
"renderedValue": "[4,1]"
},
"R5": {
"serializedValue": "1104a0faa6c1ee640e000e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1732819345040,7,0,7]"
},
"R6": {
"serializedValue": "645f5c5a82398441c185689259791a85d5a1e6eca272d4c92e56766ee78429a38303072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e3353656e642050485020746f6b656e73202831422920746f2043616e6e6f6e5120746f207365742d7570204d454d4520636f696e",
"sigmaType": "Coll[SByte]",
"renderedValue": "53656e642050485020746f6b656e73202831422920746f2043616e6e6f6e5120746f207365742d7570204d454d4520636f696e"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "44d50ca33976eb32d352b2e847429000084f626ac49ceb514073cec3a88477d4",
"transactionId": "ccf27f60250e76918c29dc8a5e495c95888ed1f7beea62f76a3ee4e3c834102f",
"blockId": "5623b3b8988c73b8a2e6ed007ecd77bb57159ce6efc2db632d46386aaf04f691",
"value": 1000000,
"index": 1,
"globalIndex": 44249992,
"creationHeight": 1405707,
"settlementHeight": 1405709,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-57,-59,55,-26,-58,53,-109,14,-53,74,-50,-107,-91,73,38,-77,-85,119,105,-115,-97,73,34,-16,-79,-59,-114,-88,113,86,72,59)\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n4: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\n5: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n6: 2\n7: 1\n8: 0\n9: 0\n10: 0\n11: 1\n12: 33\n13: 0\n14: 4\n15: 0\n16: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n17: 0\n18: 2\n19: 4\n20: 1\n21: 1\n22: 33\n23: 1000000\n24: 100\n25: 3\n26: 6\n27: 38\n28: 0\n29: 6\n30: 37\n31: 6\n32: 37\n33: 5\n34: 6\n35: 37\n36: 1\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 100",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val coll2 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val b3 = coll2(placeholder[Int](6)).get(placeholder[Int](7))\n val box4 = OUTPUTS(placeholder[Int](8))\n val box5 = INPUTS(placeholder[Int](9))\n val box6 = OUTPUTS.filter(\n {(box6: Box) => blake2b256(box6.propositionBytes) == coll2(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12)) }\n )(placeholder[Int](13))\n val coll7 = coll2(placeholder[Int](14)).get\n sigmaProp(\n (box1.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)) && if (b3.toInt <= placeholder[Int](17)) {\n OUTPUTS.size == placeholder[Int](18)\n } else {(\n val l8 = box4.value - box5.value\n val l9 = b3.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == placeholder[Int](19), blake2b256(box4.propositionBytes) == coll2(placeholder[Int](20)).get.slice(\n placeholder[Int](21), placeholder[Int](22)\n ), l8 + box6.value - placeholder[Long](23) * l9 / placeholder[Long](24) == l8, Coll[Coll[Byte]](\n coll2(placeholder[Int](25)).get.slice(placeholder[Int](26), placeholder[Int](27))\n ).append(\n coll7.slice(placeholder[Int](28), coll7.size - placeholder[Int](29) / placeholder[Int](30)).indices.map(\n {(i10: Int) =>\n coll7.slice(\n placeholder[Int](31) + placeholder[Int](32) * i10 + placeholder[Int](33), placeholder[Int](34) + placeholder[Int](35) * i10 + placeholder[\n Int\n ](36)\n )\n }\n )\n ).forall({(coll10: Coll[Byte]) =>\n val l12 = box4.tokens.fold(placeholder[Long](37), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](38) }\n }) - box5.tokens.fold(placeholder[Long](39), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](40) }\n })\n l12 + box6.tokens.fold(placeholder[Long](41), {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == coll10) { tuple15._2 } else { placeholder[Long](42) }\n }) * l9 / placeholder[Long](43) == l12\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e2c730d0d5dffd99dd62dabea31abfc2d34b40125c4ac3d270b0f55665025a72",
"mainChain": true
},
{
"boxId": "aa85743e09f4e64cd56bf7aac05aab83a4dcebedfca7d4231d39feb4ec8c1a6d",
"transactionId": "ccf27f60250e76918c29dc8a5e495c95888ed1f7beea62f76a3ee4e3c834102f",
"blockId": "5623b3b8988c73b8a2e6ed007ecd77bb57159ce6efc2db632d46386aaf04f691",
"value": 2000000,
"index": 2,
"globalIndex": 44249993,
"creationHeight": 1405707,
"settlementHeight": 1405709,
"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": "a1d0cfc346e8709baa6f787f881e54c34ee17c096ac015805df18785aaa93ade",
"mainChain": true
}
],
"size": 3653,
"isUnconfirmed": false
}