Transaction
ID: 4b4344efeb...ddec
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.007 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00196004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00003996 ERG
Tokens:
0
Transaction Details
Confirmations: 474,552
Total coins transferred: 0.008 ERG
Fees: 0.00196004 ERG
Fees per byte: 0.000000473 ERG
Raw Transaction Data
{
"id": "4b4344efeb546a12fccf90b93b62217b8f2ef43c70ff26fdf27ea1a386d2ddec",
"blockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"inclusionHeight": 1286071,
"timestamp": 1718330706312,
"index": 76,
"globalIndex": 7349562,
"numConfirmations": 474552,
"inputs": [
{
"boxId": "5d6f151024df7732e299f7d77792ca650c70f2e8983f846c87b98ccd54bf2595",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2a170ee80f5e7fbf22045d958ccc011032cb9c66d95e3eb62a271538aac4985a",
"outputTransactionId": "baa4b84dcc4157d6f0db204ec6a098766919431331e962c9f6451b987d70c4c8",
"outputIndex": 0,
"outputGlobalIndex": 40756133,
"outputCreatedAt": 1285011,
"outputSettledAt": 1285013,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: Coll(3,-99,42,10,33,-115,124,72,-56,-3,70,-88,-46,-108,49,-67,5,108,-124,-120,42,33,106,86,115,38,-61,-57,-104,78,-56,53)\n4: 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)\n5: 1\n6: 1\n7: 2\n8: 2\n9: 1\n10: 1\n11: 1\n12: 0\n13: 9223372036854775807\n14: 0\n15: 1\n16: Coll(-16,54,125,-33,52,53,-104,31,74,-91,87,27,-111,-35,70,-2,-127,54,103,-14,-120,-115,79,-58,-111,-106,-113,-34,21,-121,-101,-105)\n17: Coll(105,109,46,112,97,105,100,101,105,97,46,99,111,110,116,114,97,99,116,115,46,112,114,111,112,111,115,97,108,46)\n18: Coll(105,109,46,112,97,105,100,101,105,97,46,99,111,110,116,114,97,99,116,115,46,97,99,116,105,111,110,46)\n19: 2\n20: 2\n21: 0\n22: 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)\n23: 0\n24: 0\n25: 1\n26: 33\n27: 0\n28: 0\n29: 1\n30: 3\n31: 0\n32: 1\n33: 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)\n34: 1\n35: 1\n36: 9\n37: 1\n38: 1\n39: 33\n40: 0\n41: 0\n42: 1\n43: 9\n44: 1\n45: 0\n46: 0\n47: 1\n48: 0\n49: 1\n50: 0\n51: 2\n52: 1\n53: 33",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val box3 = coll1(placeholder[Int](1))\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get)\n val coll7 = box5.tokens\n val coll8 = SELF.tokens\n val tuple9 = coll7(placeholder[Int](5))\n val tuple10 = coll8(placeholder[Int](6))\n val coll11 = tuple10._1\n val l12 = tuple10._2\n val tuple13 = coll7(placeholder[Int](7))\n val tuple14 = coll8(placeholder[Int](8))\n val coll15 = tuple14._1\n val coll16 = INPUTS(placeholder[Int](9)).R5[Coll[Box]].get\n val coll17 = coll16.slice(placeholder[Int](10), coll16.size)\n val i18 = coll17.size\n val box19 = OUTPUTS(placeholder[Int](11))\n val box20 = coll16(placeholder[Int](12))\n val l21 = placeholder[Long](13) - l12\n val coll22 = box19.tokens\n val tuple23 = coll22(placeholder[Int](14))\n val tuple24 = coll22(placeholder[Int](15))\n val coll25 = box19.propositionBytes\n val coll26 = box20.propositionBytes\n val coll27 = box3.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](16), blake2b256(placeholder[Coll[Byte]](17).append(coll26))).append(\n coll17.map({(box27: Box) => blake2b256(placeholder[Coll[Byte]](18).append(box27.propositionBytes)) })\n ), getVar[Coll[Byte]](1.toByte).get\n )\n val coll28 = box19.R5[Coll[Long]].get\n val coll29 = OUTPUTS.slice(placeholder[Int](19), i18 + placeholder[Int](20))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22), box3.tokens(placeholder[Int](23))._1 == coll4, allOf(\n Coll[Boolean](\n blake2b256(box5.propositionBytes) == coll6(placeholder[Int](24)).get.slice(\n placeholder[Int](25), placeholder[Int](26)\n ), box5.value >= SELF.value, coll7(placeholder[Int](27)) == coll8(placeholder[Int](28)), tuple9._1 == coll11, tuple9._2 == l12 - placeholder[Long](\n 29\n ), tuple13._1 == coll15, tuple13._2 == tuple14._2 - i18.toLong, coll7.size == placeholder[Int](30), box5.R4[Coll[Byte]].get == coll4\n )\n ), allOf(\n Coll[Boolean](\n box19.value >= box20.value, box19.R4[Coll[Int]].get(placeholder[Int](31)).toLong == l21, tuple23._1 == coll11, tuple23._2 == placeholder[Long](\n 32\n ), tuple24._1 == placeholder[Coll[Byte]](33), tuple24._2 == byteArrayToLong(\n coll6(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ), coll25 == coll26, blake2b256(coll25) == coll27(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39)), coll28(\n placeholder[Int](40)\n ) >= CONTEXT.preHeader.timestamp + byteArrayToLong(\n coll27(placeholder[Int](41)).get.slice(placeholder[Int](42), placeholder[Int](43))\n ), coll28.slice(placeholder[Int](44), coll28.size).forall({(l30: Long) => l30 == placeholder[Long](45) })\n )\n ), coll29.indices.forall({(i30: Int) =>\n val box32 = coll29(i30)\n val tuple33 = box32.tokens(placeholder[Int](46))\n val coll34 = box32.R4[Coll[Long]].get\n allOf(Coll[Boolean](box32.value >= coll17(i30).value, tuple33._1 == coll15, tuple33._2 == placeholder[Long](47), coll34(placeholder[Int](48)) == l21, coll34(placeholder[Int](49)) >= placeholder[Long](50), blake2b256(box32.propositionBytes) == coll27.slice(placeholder[Int](51), coll27.size).map({(opt35: Option[Coll[Byte]]) => opt35.get.slice(placeholder[Int](52), placeholder[Int](53)) })(i30)))\n })\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00c3fd71f6ef5a03d125d11bd5fa5b738ef12dd3104491c243698a4486f139a6",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "986d74f50be25bbfeaef0305a9631c16c2b21821cba8b1aecfb7df8f950f88aa",
"index": 1,
"amount": 9223372036854776000,
"name": "ErgoHack VIII Community Awards Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2afc5afd6d6b2fc706d5d4a7f5ee96dfd507c0af9930169140dd8d2c97cc1684",
"index": 2,
"amount": 9223372036854776000,
"name": "ErgoHack VIII Community Awards Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2013941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "13941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d2"
}
}
},
{
"boxId": "04bb55fc1080f5a1b970742034d2928210895cd2eff4ae6c195c571f26f3899a",
"value": 7000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"outputTransactionId": "6768c61d0eaba4b4ae5204b4803ff64e718b05128549f523558484e273a540f0",
"outputIndex": 0,
"outputGlobalIndex": 40803081,
"outputCreatedAt": 1286069,
"outputSettledAt": 1286071,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 0\n4: 30\n5: 128\n6: 1\n7: 16384\n8: 2\n9: 2097152\n10: 3\n11: 268435456\n12: 4\n13: 34359738368\n14: 5\n15: 4398046511104\n16: 6\n17: 562949953421312\n18: 7\n19: 72057594037927936\n20: 8\n21: 9\n22: 0\n23: 0\n24: Coll(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\n25: 1\n26: 0\n27: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n sigmaProp(if (box1.id == SELF.id) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box2.value >= SELF.value - placeholder[Long](2), box2.tokens == SELF.tokens, box2.propositionBytes == SELF.R4[Coll[Coll[Byte]]].get(placeholder[Int](3)), CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](4)))\n )} else {(\n val coll2 = SELF.R5[Coll[Box]].get\n val func3 = {(l3: Long) => if (l3 < placeholder[Long](5)) { placeholder[Int](6) } else { if (l3 < placeholder[Long](7)) { placeholder[Int](8) } else { if (l3 < placeholder[Long](9)) { placeholder[Int](10) } else { if (l3 < placeholder[Long](11)) { placeholder[Int](12) } else { if (l3 < placeholder[Long](13)) { placeholder[Int](14) } else { if (l3 < placeholder[Long](15)) { placeholder[Int](16) } else { if (l3 < placeholder[Long](17)) { placeholder[Int](18) } else { if (l3 < placeholder[Long](19)) { placeholder[Int](20) } else { placeholder[Int](21) } } } } } } } } }\n allOf(Coll[Boolean](anyOf(OUTPUTS.filter({(box4: Box) => box4.propositionBytes == SELF.R4[Coll[Coll[Byte]]].get(placeholder[Int](22)) }).flatMap({(box4: Box) => box4.tokens }).map({(tuple4: (Coll[Byte], Long)) => tuple4._1 == SELF.tokens(placeholder[Int](23))._1 })), box1.R4[Coll[Byte]].get == placeholder[Coll[Byte]](24), coll2.zip(OUTPUTS.slice(placeholder[Int](25), coll2.size)).forall({(tuple4: (Box, Box)) =>\n val box6 = tuple4._1\n val coll7 = box6.bytesWithoutRef\n val i8 = func3(box6.value) + box6.propositionBytes.size\n val box9 = tuple4._2\n val coll10 = box9.bytesWithoutRef\n (coll7.slice(placeholder[Int](26), i8) == coll10.slice(placeholder[Int](27), i8)) && (coll7.slice(i8 + func3(box6.creationInfo._1.toLong), coll7.size) == coll10.slice(i8 + func3(box9.creationInfo._1.toLong), coll10.size))\n })))\n )})\n}",
"address": "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",
"assets": [
{
"tokenId": "f5f8c755dbfba80c963da3be45f53ceb2efb8aafd5f5aeb9aac8a4b44e4b7829",
"index": 0,
"amount": 1,
"name": "ErgoHack VIII Community Awards Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10001000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a02240008cd0287eb7730a4af1c42e50a6fe53b36d21b2d9a0361b73ba9180fdd1e6f7429d36d095445535420564f5445",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd0287eb7730a4af1c42e50a6fe53b36d21b2d9a0361b73ba9180fdd1e6f7429d36d,5445535420564f5445]"
},
"R5": {
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"sigmaType": null,
"renderedValue": null
}
}
}
],
"dataInputs": [
{
"boxId": "4aeec5fc302bbbb1d339687206759a8ab91321fa25ac3454cb95d43f86aa56d3",
"value": 1000000,
"index": 0,
"outputBlockId": "94bc65df5765da1afa3183b16efc7b2e5582ddcdebbe94ea4e071f1826de3ede",
"outputTransactionId": "96c6b65e9366e961a6fbe83662de22f7d978a5d8e0070aced3b60b2573acbef2",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a510100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCuknDpV3PzizoM2efhYNFH3o7uHxSjqDTXCRdcV2F4vMAbtG8fxGWK9ZxWniTZ6GFE5mT7DEpU6W6piUfh32UkeqxrkxS1Gb6KitQDAbSnrTwCceBFbSkmGRLmPxi26PrzREXVVz4UnXjm1xmFrng6vu6NtPvPfEzz1a4asj856HV8Pq1mMx3UgNfeA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64270150e06772c90f006c9252ef6c18ac683dcb1a7fc085880e394417e685af4708072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "be58e8a328a8e47a373a5a17a4693574605ed7afb2ef797cf10d148deafb2140",
"value": 1000000,
"index": 1,
"outputBlockId": "932db3fc2c1f0a28003ae65ac4ac5e957d5513326c825904f518e688924167a4",
"outputTransactionId": "f0a51844661b4687cf56338251d7b21d630735c5c26dbb0ba8e49c1cf72c36d7",
"outputIndex": 1,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e202afc5afd6d6b2fc706d5d4a7f5ee96dfd507c0af9930169140dd8d2c97cc16840100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfT4f5Vu8eYvfytPACdLhdeWiqXqJaszwxTXwVXwYGhndY7JB1EbuKhAUHHUseL57dE2o28vnTvw826V5aMaqza2BepWYDmcYLUjJetzbxVSxKPxF1Vr3uEMMmPY3Jv7BS4jUaR7SdrVcvAeswb1CyzpyCbECqw8JCvcmbu8NsvRkVDWZuPa7Jk9xAJXt",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64768cade22411811d693f1f3ed237b05a1c606f5af3edec40519e9bd7e89c236a06072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "437aa1c750d405f1b8af5410262fa965f9791e645eb5fa830df8b486ffd79385",
"transactionId": "4b4344efeb546a12fccf90b93b62217b8f2ef43c70ff26fdf27ea1a386d2ddec",
"blockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"value": 1000000,
"index": 0,
"globalIndex": 40803088,
"creationHeight": 1286069,
"settlementHeight": 1286071,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: Coll(3,-99,42,10,33,-115,124,72,-56,-3,70,-88,-46,-108,49,-67,5,108,-124,-120,42,33,106,86,115,38,-61,-57,-104,78,-56,53)\n4: 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)\n5: 1\n6: 1\n7: 2\n8: 2\n9: 1\n10: 1\n11: 1\n12: 0\n13: 9223372036854775807\n14: 0\n15: 1\n16: Coll(-16,54,125,-33,52,53,-104,31,74,-91,87,27,-111,-35,70,-2,-127,54,103,-14,-120,-115,79,-58,-111,-106,-113,-34,21,-121,-101,-105)\n17: Coll(105,109,46,112,97,105,100,101,105,97,46,99,111,110,116,114,97,99,116,115,46,112,114,111,112,111,115,97,108,46)\n18: Coll(105,109,46,112,97,105,100,101,105,97,46,99,111,110,116,114,97,99,116,115,46,97,99,116,105,111,110,46)\n19: 2\n20: 2\n21: 0\n22: 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)\n23: 0\n24: 0\n25: 1\n26: 33\n27: 0\n28: 0\n29: 1\n30: 3\n31: 0\n32: 1\n33: 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)\n34: 1\n35: 1\n36: 9\n37: 1\n38: 1\n39: 33\n40: 0\n41: 0\n42: 1\n43: 9\n44: 1\n45: 0\n46: 0\n47: 1\n48: 0\n49: 1\n50: 0\n51: 2\n52: 1\n53: 33",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val box3 = coll1(placeholder[Int](1))\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get)\n val coll7 = box5.tokens\n val coll8 = SELF.tokens\n val tuple9 = coll7(placeholder[Int](5))\n val tuple10 = coll8(placeholder[Int](6))\n val coll11 = tuple10._1\n val l12 = tuple10._2\n val tuple13 = coll7(placeholder[Int](7))\n val tuple14 = coll8(placeholder[Int](8))\n val coll15 = tuple14._1\n val coll16 = INPUTS(placeholder[Int](9)).R5[Coll[Box]].get\n val coll17 = coll16.slice(placeholder[Int](10), coll16.size)\n val i18 = coll17.size\n val box19 = OUTPUTS(placeholder[Int](11))\n val box20 = coll16(placeholder[Int](12))\n val l21 = placeholder[Long](13) - l12\n val coll22 = box19.tokens\n val tuple23 = coll22(placeholder[Int](14))\n val tuple24 = coll22(placeholder[Int](15))\n val coll25 = box19.propositionBytes\n val coll26 = box20.propositionBytes\n val coll27 = box3.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](16), blake2b256(placeholder[Coll[Byte]](17).append(coll26))).append(\n coll17.map({(box27: Box) => blake2b256(placeholder[Coll[Byte]](18).append(box27.propositionBytes)) })\n ), getVar[Coll[Byte]](1.toByte).get\n )\n val coll28 = box19.R5[Coll[Long]].get\n val coll29 = OUTPUTS.slice(placeholder[Int](19), i18 + placeholder[Int](20))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22), box3.tokens(placeholder[Int](23))._1 == coll4, allOf(\n Coll[Boolean](\n blake2b256(box5.propositionBytes) == coll6(placeholder[Int](24)).get.slice(\n placeholder[Int](25), placeholder[Int](26)\n ), box5.value >= SELF.value, coll7(placeholder[Int](27)) == coll8(placeholder[Int](28)), tuple9._1 == coll11, tuple9._2 == l12 - placeholder[Long](\n 29\n ), tuple13._1 == coll15, tuple13._2 == tuple14._2 - i18.toLong, coll7.size == placeholder[Int](30), box5.R4[Coll[Byte]].get == coll4\n )\n ), allOf(\n Coll[Boolean](\n box19.value >= box20.value, box19.R4[Coll[Int]].get(placeholder[Int](31)).toLong == l21, tuple23._1 == coll11, tuple23._2 == placeholder[Long](\n 32\n ), tuple24._1 == placeholder[Coll[Byte]](33), tuple24._2 == byteArrayToLong(\n coll6(placeholder[Int](34)).get.slice(placeholder[Int](35), placeholder[Int](36))\n ), coll25 == coll26, blake2b256(coll25) == coll27(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39)), coll28(\n placeholder[Int](40)\n ) >= CONTEXT.preHeader.timestamp + byteArrayToLong(\n coll27(placeholder[Int](41)).get.slice(placeholder[Int](42), placeholder[Int](43))\n ), coll28.slice(placeholder[Int](44), coll28.size).forall({(l30: Long) => l30 == placeholder[Long](45) })\n )\n ), coll29.indices.forall({(i30: Int) =>\n val box32 = coll29(i30)\n val tuple33 = box32.tokens(placeholder[Int](46))\n val coll34 = box32.R4[Coll[Long]].get\n allOf(Coll[Boolean](box32.value >= coll17(i30).value, tuple33._1 == coll15, tuple33._2 == placeholder[Long](47), coll34(placeholder[Int](48)) == l21, coll34(placeholder[Int](49)) >= placeholder[Long](50), blake2b256(box32.propositionBytes) == coll27.slice(placeholder[Int](51), coll27.size).map({(opt35: Option[Coll[Byte]]) => opt35.get.slice(placeholder[Int](52), placeholder[Int](53)) })(i30)))\n })\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00c3fd71f6ef5a03d125d11bd5fa5b738ef12dd3104491c243698a4486f139a6",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "986d74f50be25bbfeaef0305a9631c16c2b21821cba8b1aecfb7df8f950f88aa",
"index": 1,
"amount": 9223372036854776000,
"name": "ErgoHack VIII Community Awards Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2afc5afd6d6b2fc706d5d4a7f5ee96dfd507c0af9930169140dd8d2c97cc1684",
"index": 2,
"amount": 9223372036854776000,
"name": "ErgoHack VIII Community Awards Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2013941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d2",
"sigmaType": "Coll[SByte]",
"renderedValue": "13941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d2"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "646aab9bcdb7d64e58a5a79f57b3ff4ed41784a7cf417c901804ec2bef25ed88",
"transactionId": "4b4344efeb546a12fccf90b93b62217b8f2ef43c70ff26fdf27ea1a386d2ddec",
"blockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"value": 4000000,
"index": 1,
"globalIndex": 40803089,
"creationHeight": 1286069,
"settlementHeight": 1286071,
"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(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\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": "986d74f50be25bbfeaef0305a9631c16c2b21821cba8b1aecfb7df8f950f88aa",
"index": 0,
"amount": 1,
"name": "ErgoHack VIII Community Awards Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10021201",
"sigmaType": "Coll[SInt]",
"renderedValue": "[9,-1]"
},
"R5": {
"serializedValue": "11049af1d5e48564000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1718763568205,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e095445535420564f5445",
"sigmaType": "Coll[SByte]",
"renderedValue": "5445535420564f5445"
}
},
"spentTransactionId": "1c31b7db384f6e2629fa1e60ecd2a4d2999e05b7c003ccdd6dff1e932aa737bf",
"mainChain": true
},
{
"boxId": "53a603f3e1f1857ba2e3457a2952f02df4f8514a8e3665a32ef1162fe2b1967c",
"transactionId": "4b4344efeb546a12fccf90b93b62217b8f2ef43c70ff26fdf27ea1a386d2ddec",
"blockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"value": 1000000,
"index": 2,
"globalIndex": 40803090,
"creationHeight": 1286069,
"settlementHeight": 1286071,
"ergoTree": "0008cd0287eb7730a4af1c42e50a6fe53b36d21b2d9a0361b73ba9180fdd1e6f7429d36d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(87eb77,5aace3,...)))}",
"address": "9fYvQMsMN3NNaw33cAFnRdyHy1DpxtxfADvGqUV3ocLptw4HpcP",
"assets": [
{
"tokenId": "f5f8c755dbfba80c963da3be45f53ceb2efb8aafd5f5aeb9aac8a4b44e4b7829",
"index": 0,
"amount": 1,
"name": "ErgoHack VIII Community Awards Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "c74c1123441311d1ddb86aa3206cfe03de1fd71ec17118cfd659289d0bbfba31",
"mainChain": true
},
{
"boxId": "5b1752fcd35001bac3f02d69833ac9f50c2f6f69561fe8d15b58f8033163907e",
"transactionId": "4b4344efeb546a12fccf90b93b62217b8f2ef43c70ff26fdf27ea1a386d2ddec",
"blockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"value": 1960040,
"index": 3,
"globalIndex": 40803091,
"creationHeight": 1286069,
"settlementHeight": 1286071,
"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": "6ab8959873fdfc25613b9a450538d7160c1624585f969aaf7e57e9afb8991536",
"mainChain": true
},
{
"boxId": "f5fcf681c8f2c44978cb2dfc90ab52b5826920140f8d1ef62da8e120e36af904",
"transactionId": "4b4344efeb546a12fccf90b93b62217b8f2ef43c70ff26fdf27ea1a386d2ddec",
"blockId": "f923f518b7af6fd21d63251913519936b8c6285e929f52db7124406e23927746",
"value": 39960,
"index": 4,
"globalIndex": 40803092,
"creationHeight": 1286069,
"settlementHeight": 1286071,
"ergoTree": "0008cd023812ba777e72f8e606cda4d4faa2288d439a16cd7c462dc12d3e10a317b019e7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3812ba,bc1fbe,...)))}",
"address": "9ewkq1bvnTdmEc7zwmVBxN8rKri8cYNQbgJtMLUxLsFu5AcDCWE",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "aecceca9a16f50b394db383b36834d913bfabab9ee0094440c19805b730f6b7b",
"mainChain": true
}
],
"size": 4147,
"isUnconfirmed": false
}