Transaction
ID: 8eaabf668d...d951
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.008 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.001 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: 654,842
Total coins transferred: 0.009 ERG
Fees: 0.00196004 ERG
Fees per byte: 0.00000036 ERG
Raw Transaction Data
{
"id": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"inclusionHeight": 1107447,
"timestamp": 1696703514090,
"index": 3,
"globalIndex": 5932028,
"numConfirmations": 654842,
"inputs": [
{
"boxId": "0a67aa905384632212e8ce4738b910c816d2f40214d13446a7757c8de94c828b",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5c28a8ea731a420d7c34e7a14ed343fe7efc60ec9a002793049dacc29279de12",
"outputTransactionId": "3eb7cc41e60d2b554435ed73882ea4c771bc748e5d503df9677f0934a61f439f",
"outputIndex": 0,
"outputGlobalIndex": 33251981,
"outputCreatedAt": 1106789,
"outputSettledAt": 1106791,
"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": "00a4d9412d43e490695f6f937d685ee56769aadbab982f400129abec5227c324",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a51",
"index": 2,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "00ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f9"
}
}
},
{
"boxId": "3c3ba7f8e5b84f8a12f1de2a6d869d2ba7ab6df7fd26378c5ccacf34c4aa692e",
"value": 8000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "68f54042b99576fa0f4fd758db45090d1df9b51460ffa7688300bf535987d38e",
"outputTransactionId": "2657c7b13ed798b2f99acbb662d3810107ad593eb28bdcd49823a8d49648aca0",
"outputIndex": 0,
"outputGlobalIndex": 33270704,
"outputCreatedAt": 1107441,
"outputSettledAt": 1107443,
"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(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)\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": "59abd2a3048bcd4c1e09aae894c4333af5033c3691cd516446e0499ef4429ed8",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10001000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a02240008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564c08466972652044616e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564c,466972652044616e]"
},
"R5": {
"serializedValue": 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"sigmaType": null,
"renderedValue": null
}
}
}
],
"dataInputs": [
{
"boxId": "8bc89854360edb452240d4ab38853f3ffaebc323b7d2070f021bbdcf45752c66",
"value": 1000000,
"index": 0,
"outputBlockId": "b0105a39412e78bb35838fb5b17683f3762fb49689c67425cd2d57393a4094ba",
"outputTransactionId": "6a4f87672bda701ef1a6a0fe0881a456fa1c4b7d344227f12c78b7a91fe6d3ed",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a510100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCuknDpV3PzizoM2efhYNFH3o7uHxSjqDTXCRdcV2F4vMAbtG8fxGWK9ZxWniTZ6GFE5mT7DEpU6W6piUfh32UkeqxrkxS1Gb6KitQDAbSnrTwCceBFbSkmGRLmPxi26PrzREXVVz4UnXjm1xmFrng6vu6NtPvPfEzz1a4asj856HV8Pq1mMx3UgNfeA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64fd2ba70089c48fc922319185d1bd7fc24258572e3820792ef2d5013dbfc2cac908072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "4f1e414d54b1bfd7d11a6870d8a1e9ba332a8bec545a3afaffebf51f2e8f9999",
"transactionId": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"value": 1000000,
"index": 0,
"globalIndex": 33270736,
"creationHeight": 1107441,
"settlementHeight": 1107447,
"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": "00a4d9412d43e490695f6f937d685ee56769aadbab982f400129abec5227c324",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a51",
"index": 2,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "00ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f9"
}
},
"spentTransactionId": "940964a14b35cc088c08fb73bd97c195228fabbd8d149230d3a9a93a6e5bb955",
"mainChain": true
},
{
"boxId": "91dbbd80a4a5cad06e558d554754213fbe3a19bf129efba86dba2b1d66302029",
"transactionId": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"value": 4000000,
"index": 1,
"globalIndex": 33270737,
"creationHeight": 1107441,
"settlementHeight": 1107447,
"ergoTree": "104a04000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f90e20f6ff8b7210015545d4b3ac5fc60c908092d035a1a16155c029e8d511627c7a2c0e20af785b0add805c5c31f1cc3a3e96c89008fd7127320107a3784b7f49e95648420e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0404040c044c0404040204000400040104000402040104020404040004020e20f5918eb4b0283c669bdd8a195640766c19e40a693a6697b775b08e09052523d40e20767caa80b98e496ad8a9f689c4410ae453327f0f95e95084c0ae206350793b77040004000400040005809bee0204000400040004000402040204000402041205d00f04020402041205d00f04030402040204420580897a0e200040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983040204000402041204000406040004000410041004020410050004040402040404000410042004000400041004100402041005000400d80fd601db6501fed602b27201730000d6037301d604e4c6a70410d605dc640be4c6720204640283030e730273037304e4e3000ed606b4e4b2720573050073067307d607e4c6a70511d608b472077308b17207d609e3044005d60ae47209d60b8c720a01d60c8c720a02d60de4c6a70664d60eb27207730900d60fb27207730a00d196830201938cb2db63087202730b0001720395ed93dc0c1aa402a7730c730d93b27204730e00730fd80ad610b27201731000d611b27201731100d612b2a5731200d613db6308a7d614e4c672120410d6157209d616720ad617b2a5731300d618dc640be4c6721104640283020e73147315e4e3010ed619b2db6308721773160096830601938cb2db63087210731700017206938cb2db63087211731800017203ededafdb0c0e7208d9011a049593721a720b93b27208721a00720c90b27208721a00720c91b17208720b92720b73199683070193c27212c2a792c1721299c1a7731a93b2db63087212731b00b27213731c0093b27214731d00b27204731e0093e4c672120511720793e4c672120664720d93b27214731f0095ed91720e9d9cb2e4c6721005117320007cb4e4b27205732100732273237324d801d61a720c91721a9d9c720e7cb4e4b27205732500732673277328720b732991db6903db6503fe720f9683040193cbc27217b4e4b27218732a00732b732c92c17217732d938c721901732e928c721902a18cb27213732f00027cb4e4b2721873300073317332d80dd610b2a4733300d611b2a4733400d6128cb2db6308721173350001d613e4c67211050ed614adb4db0c0e721373369db172137337d90114047cb472139c721473389c9a72147339733ad615b07214733bd90115599a8c7215018c721502d616b2a5733c00d617e4c672160511d618dc640a720d027212e4e3010ed619e67218d61ab27217733d00d61bb47217733eb17217d61ce4e3020e96830a01927cb4e4dc640ab2e4c67210040c64733f00027212e4e3030e73407341721593c27216c2a792c17216c1a793db63087216db6308a793e4c672160410720493b27217734200720f957219d802d61de47218d61eadb4db0c0e721d73439db1721d7344d9011e047cb4721d9c721e73459c9a721e734673479683020193721a9a99720eb0721e7348d9011f599a8c721f018c721f02721593721baddc0c1d720801addc0c1d721e017214d9011f59998c721f028c721f01d9011f599a8c721f018c721f029683020193721a9a720e721593721baddc0c1d7208017214d9011d599a8c721d018c721d0293db6401e4c672160664db6401957219e4dc640d720d0283013c0e0e860272127213721ce4dc640c720d0283013c0e0e860272127213721c938cb2db630872107349000172069472177207",
"ergoTreeConstants": "0: 0\n1: 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)\n2: 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)\n3: 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)\n4: 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)\n5: 2\n6: 6\n7: 38\n8: 2\n9: 1\n10: 0\n11: 0\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: 0\n26: 3000000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 9\n36: 1000\n37: 1\n38: 1\n39: 9\n40: 1000\n41: -2\n42: 1\n43: 1\n44: 33\n45: 1000000\n46: 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)\n47: 1\n48: 0\n49: 1\n50: 9\n51: 0\n52: 3\n53: 0\n54: 0\n55: 8\n56: 8\n57: 1\n58: 8\n59: 0\n60: 2\n61: 1\n62: 2\n63: 0\n64: 8\n65: 16\n66: 0\n67: 0\n68: 8\n69: 8\n70: 1\n71: 8\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll6 = coll5(placeholder[Int](5)).get.slice(placeholder[Int](6), placeholder[Int](7))\n val coll7 = SELF.R5[Coll[Long]].get\n val coll8 = coll7.slice(placeholder[Int](8), coll7.size)\n val opt9 = getVar[(Int, Long)](4.toByte)\n val tuple10 = opt9.get\n val i11 = tuple10._1\n val l12 = tuple10._2\n val avlTree13 = SELF.R6[AvlTree].get\n val l14 = coll7(placeholder[Int](9))\n val l15 = coll7(placeholder[Int](10))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](11))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll4(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box16 = coll1(placeholder[Int](16))\n val box17 = coll1(placeholder[Int](17))\n val box18 = OUTPUTS(placeholder[Int](18))\n val coll19 = SELF.tokens\n val coll20 = box18.R4[Coll[Int]].get\n val opt21 = opt9\n val tuple22 = tuple10\n val box23 = OUTPUTS(placeholder[Int](19))\n val coll24 = box17.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 tuple25 = box23.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box16.tokens(placeholder[Int](23))._1 == coll6, box17.tokens(placeholder[Int](24))._1 == coll3, (\n coll8.indices.forall({(i26: Int) => if (i26 == i11) { coll8(i26) == l12 } else { coll8(i26) <= l12 } }) && (coll8.size > i11)\n ) && (i11 >= placeholder[Int](25)), allOf(\n Coll[Boolean](\n box18.propositionBytes == SELF.propositionBytes, box18.value >= SELF.value - placeholder[Long](26), box18.tokens(\n placeholder[Int](27)\n ) == coll19(placeholder[Int](28)), coll20(placeholder[Int](29)) == coll4(placeholder[Int](30)), box18.R5[Coll[Long]].get == coll7, box18.R6[\n AvlTree\n ].get == avlTree13, coll20(placeholder[Int](31)) == if ((\n l14 > box16.R5[Coll[Long]].get(placeholder[Int](32)) * byteArrayToLong(\n coll5(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n ) / placeholder[Long](36)\n ) && \n val l26 = l12\n l26 > l14 * byteArrayToLong(coll5(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))) / placeholder[Long](40)\n ) { i11 } else { placeholder[Int](41) }\n )\n ), CONTEXT.preHeader.timestamp > l15, allOf(\n Coll[Boolean](\n blake2b256(box23.propositionBytes) == coll24(placeholder[Int](42)).get.slice(\n placeholder[Int](43), placeholder[Int](44)\n ), box23.value >= placeholder[Long](45), tuple25._1 == placeholder[Coll[Byte]](46), tuple25._2 >= min(\n coll19(placeholder[Int](47))._2, byteArrayToLong(coll24(placeholder[Int](48)).get.slice(placeholder[Int](49), placeholder[Int](50)))\n )\n )\n )\n )\n )\n )} else {(\n val box16 = INPUTS(placeholder[Int](51))\n val box17 = INPUTS(placeholder[Int](52))\n val coll18 = box17.tokens(placeholder[Int](53))._1\n val coll19 = box17.R5[Coll[Byte]].get\n val coll20 = coll19.indices.slice(placeholder[Int](54), coll19.size / placeholder[Int](55)).map(\n {(i20: Int) => byteArrayToLong(coll19.slice(i20 * placeholder[Int](56), i20 + placeholder[Int](57) * placeholder[Int](58))) }\n )\n val l21 = coll20.fold(placeholder[Long](59), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 })\n val box22 = OUTPUTS(placeholder[Int](60))\n val coll23 = box22.R5[Coll[Long]].get\n val opt24 = avlTree13.get(coll18, getVar[Coll[Byte]](1.toByte).get)\n val bool25 = opt24.isDefined\n val l26 = coll23(placeholder[Int](61))\n val coll27 = coll23.slice(placeholder[Int](62), coll23.size)\n val coll28 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box16.R4[Coll[AvlTree]].get(placeholder[Int](63)).get(coll18, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](64), placeholder[Int](65)\n )\n ) >= l21, box22.propositionBytes == SELF.propositionBytes, box22.value >= SELF.value, box22.tokens == SELF.tokens, box22.R4[\n Coll[Int]\n ].get == coll4, coll23(placeholder[Int](66)) == l15, if (bool25) {(\n val coll29 = opt24.get\n val coll30 = coll29.indices.slice(placeholder[Int](67), coll29.size / placeholder[Int](68)).map(\n {(i30: Int) => byteArrayToLong(coll29.slice(i30 * placeholder[Int](69), i30 + placeholder[Int](70) * placeholder[Int](71))) }\n )\n allOf(\n Coll[Boolean](\n l26 == l14 - coll30.fold(placeholder[Long](72), {(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 }) + l21, coll27 == coll8.zip(\n coll30.zip(coll20).map({(tuple31: (Long, Long)) => tuple31._2 - tuple31._1 })\n ).map({(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l26 == l14 + l21, coll27 == coll8.zip(coll20).map({(tuple29: (Long, Long)) => tuple29._1 + tuple29._2 })))\n }, box22.R6[AvlTree].get.digest == if (bool25) { avlTree13.update(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get } else {\n avlTree13.insert(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get\n }.digest, box16.tokens(placeholder[Int](73))._1 == coll6, coll23 != coll7\n )\n )\n )}\n )\n )\n )\n}",
"address": "21nc7RqekX1i5z2Uhh1FVdfKuYFVbAKymErYVRytDx7mEqnaBeMCiHakBRDpjQSJYdxHtJYduLvteQpQMPJzMDdBipt4gP84WnGo3VN83DA8jYh5NFHbehsd3YRy65BQKwTCe4gAaWRXH9u6sxaKhSG26Ecth9wD6RvsNzjXWt9KcsfG63Cpj7mgGxh4ieZh7PMnei5BwdwDSJoUiUAQJZjVrUGdG2umg7dTj6RGvHohJG19A7U9khfe1vgGMmaumc2WGfsik6bkA1nDaKczGdv68xAkx4Q2k7doZtPhvjLazwKsda9MP9n4yLcmywTPvL4g4L8KYiGTsdhYtuggGLh1SXus7QEoxMcNehfyQcxbbAHouFUQYXHWQQTqi47fU4xb2nG8gPc55FC8GR7gozyvZjBvx3ReKpRnLoGpZEZCd41FLneDYLpk2bv4hoKwrWcKfxH3rnVPPJh8yUx3RqvpnvZB5XWj4k9DKuT1cqK8pBScUx3MX2YMxiutHVWTqWowtQa1wqkfrUb4p39STSTeMAH3tC94AVrUZNowNhPzUWfpBbCyApNniHJULE7vM3nwDT4VyxfyaA7ZJkc1j2M5MzMBC5SdWLXtQEyT1TW213YxFF2Nu4qLPs6tdVrWtNTeErN7XysbjcCWcELjn6RyM6JdP3GrS3XVYwcknSpSkGi8kxN4Nb2vi8ZESfDe3AsyRKQe8SBWwHg159joftU4SmJMNtwHDAjeAbBJNrTMp6XdjxLKbS3tjVPJPd4kKuwS3AMfRRsubr7VMnsQxbZdEMkotw8zhoNjxSWK5KcfsRYnf5dekt9drPEuiwvgQCy4YBbRY71gdpydfUuT6xvpepURTaLZcqUEcp25PMMXVzLB8Y2jrqVZjtohDkzx7LVuZTWGfJ2uao3wUUcXcBGqgLqD1NrvHxnv94ssVtyyhVveDvDZVJG8rbUBzgjjUFmsmqqMeF37nPqJREJmnpfBKZTBmTSE3FkSez6UzLy5VfwnUEsYhgXqjCFq4Lmmhr2fGPvH841i4ZdeVL7YzjECdNjT4rU5bxpBxSdPB5BKvNnNqnp2Tvk7rgLVZKQ1quv8q2C32tdCkg4HPCTir1mdREL3ZMAnjgNV6nTiT8cxysx6NfL2QBBosUSDqEqGdW8wDAeB8u3bgdVS3d1WHNrJFxWWVQThAtE91nQvCevtdwEXXiqb17musAvEMJK5sXwWqwUkkvaNeSmV45PfZgrbDeKi4mj6rvihA9nKeXYkJVkGt2KMtNAbcfkH4eL5cKnMEoPLh6LxL9n2pBbUNGrdhrpkcwSA7775CFJRT5G19oyFJXBjeexwN2a5nnFAHAwYpao9Z9pmqcFS6vsvXv1QPTAFKcSd2dMXmtCTteD88i2Q2WKFpGTtFkztcRvmCyXMwvZoST6n74su4C6xZ4aSzyWEpooqwShMTRP6K1PqVnU9JQ8MjxbzmgoFULJfxmmhFGWb4dbJ5av7BjdTtxQBFrRKmC7ZwQAwbfzajx2XQ8FdiifzAvnsLi1ypAzdKguzrdLtdfnaYgC1ahxqJQTJYXm32eWZ9Nc2E2DC7dp37A2CucKhAf2Bf278cLbWSkf8Q5PT73rWufecjY48jnpFKUzt3uBigDiDXptcRXRiyDKdvezSQu7jdKaH6xBmY5ds4PNjwsiRebCTUguSL3VgMkFo5Tbg85Nw9WLgojKxBgRtmySXWRfZnGa8fdEypTbksmush5KUEpsGeBZibBthsc3NiijLFVKBqw46kYJBheBzEHxohLM6mb783Ujsz9xY7553Y9jVEUbmQPkUs82n2PETA1739pkqvQKwhVB5BNZh3au7iZA9ufbMV27Utbchdxdsn7FxAcxJEvgZzMeWVWsNwsRigGhBFwnMoQVRc5isR",
"assets": [
{
"tokenId": "00a4d9412d43e490695f6f937d685ee56769aadbab982f400129abec5227c324",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10021e01",
"sigmaType": "Coll[SInt]",
"renderedValue": "[15,-1]"
},
"R5": {
"serializedValue": "1104b2beaa89e262000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1696790302617,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e08466972652044616e",
"sigmaType": "Coll[SByte]",
"renderedValue": "466972652044616e"
}
},
"spentTransactionId": "fa673c7a7fe61c97dc5de382b25c8ca033b81fdc36ee2e92bd459e3ca3938a9d",
"mainChain": true
},
{
"boxId": "59d2caf85e3854fefa126230efbdcc531456f7f2ddc837884261c77960d120ca",
"transactionId": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"value": 1000000,
"index": 2,
"globalIndex": 33270738,
"creationHeight": 1107441,
"settlementHeight": 1107447,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 3\n5: 2\n6: 0\n7: 4\n8: 128\n9: 1\n10: 16384\n11: 2\n12: 2097152\n13: 3\n14: 268435456\n15: 4\n16: 34359738368\n17: 5\n18: 4398046511104\n19: 6\n20: 562949953421312\n21: 7\n22: 72057594037927936\n23: 8\n24: 9\n25: 1\n26: 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)\n27: 0\n28: 1\n29: 33\n30: 0\n31: 2\n32: 0\n33: 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)\n34: 0\n35: Coll(0,-92,-39,65,45,67,-28,-112,105,95,111,-109,125,104,94,-27,103,105,-86,-37,-85,-104,47,64,1,41,-85,-20,82,39,-61,36)\n36: 0\n37: 1\n38: 0\n39: 1\n40: 2\n41: 1\n42: 3\n43: 4\n44: 0\n45: 0\n46: 0\n47: 0\n48: 1\n49: 0\n50: 2\n51: 1\n52: 0\n53: 1\n54: 5000000\n55: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val box3 = coll1(placeholder[Int](1))\n val coll4 = box3.R4[Coll[Int]].get\n val coll5 = SELF.R4[Coll[Long]].get\n val l6 = coll5(placeholder[Int](2))\n val l7 = coll5(placeholder[Int](3))\n val l8 = coll5(placeholder[Int](4))\n val l9 = coll5(placeholder[Int](5))\n val bool10 = l9 > placeholder[Long](6)\n val coll11 = SELF.R5[Coll[Box]].get\n val l12 = coll5(placeholder[Int](7))\n val i13 = coll11.size\n val func14 = {(l14: Long) =>\n if (l14 < placeholder[Long](8)) { placeholder[Int](9) } else {\n if (l14 < placeholder[Long](10)) { placeholder[Int](11) } else {\n if (l14 < placeholder[Long](12)) { placeholder[Int](13) } else {\n if (l14 < placeholder[Long](14)) { placeholder[Int](15) } else {\n if (l14 < placeholder[Long](16)) { placeholder[Int](17) } else {\n if (l14 < placeholder[Long](18)) { placeholder[Int](19) } else {\n if (l14 < placeholder[Long](20)) { placeholder[Int](21) } else {\n if (l14 < placeholder[Long](22)) { placeholder[Int](23) } else { placeholder[Int](24) }\n }\n }\n }\n }\n }\n }\n }\n }\n val i15 = OUTPUTS.size\n val box16 = OUTPUTS(i15 - placeholder[Int](25))\n val bool17 = blake2b256(box16.propositionBytes) == box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](26)), getVar[Coll[Byte]](0.toByte).get\n )(placeholder[Int](27)).get.slice(placeholder[Int](28), placeholder[Int](29))\n val func18 = {(coll18: Coll[Box]) =>\n coll18.flatMap({(box20: Box) => box20.tokens }).fold(placeholder[Long](30), {(tuple20: (Long, (Coll[Byte], Long))) => tuple20._1 + tuple20._2._2 })\n }\n val box19 = if (bool17) { OUTPUTS(i15 - placeholder[Int](31)) } else { box16 }\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](32))._1 == placeholder[Coll[Byte]](33), allOf(\n Coll[Boolean](\n box3.tokens(placeholder[Int](34))._1 == placeholder[Coll[Byte]](35), coll4(placeholder[Int](36)).toLong == l6, coll4(\n placeholder[Int](37)\n ).toLong == l7\n )\n ), CONTEXT.preHeader.timestamp >= l8, if (bool10) {(\n val box20 = OUTPUTS(coll11.size)\n val coll21 = box20.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box20.value == SELF.value, box20.tokens == SELF.tokens, coll21(placeholder[Int](38)) == l6, coll21(placeholder[Int](39)) == l7, coll21(\n placeholder[Int](40)\n ) == l9 - placeholder[Long](41), coll21(placeholder[Int](42)) == l8 + l12, coll21(placeholder[Int](43)) == l12, box20.R5[\n Coll[Box]\n ].get == coll11, box20.propositionBytes == SELF.propositionBytes\n )\n )\n )} else {\n !OUTPUTS.exists({(box20: Box) => box20.tokens.exists({(tuple22: (Coll[Byte], Long)) => tuple22._1 == SELF.tokens(placeholder[Int](44))._1 }) })\n }, coll11.zip(OUTPUTS.slice(placeholder[Int](45), i13)).forall({(tuple20: (Box, Box)) =>\n val box22 = tuple20._1\n val coll23 = box22.bytesWithoutRef\n val i24 = func14(box22.value) + box22.propositionBytes.size\n val box25 = tuple20._2\n val coll26 = box25.bytesWithoutRef\n (coll23.slice(placeholder[Int](46), i24) == coll26.slice(placeholder[Int](47), i24)) && (coll23.slice(i24 + func14(box22.creationInfo._1.toLong), coll23.size) == coll26.slice(i24 + func14(box25.creationInfo._1.toLong), coll26.size))\n }), i15 == i13 + if (bool10) { placeholder[Int](48) } else { placeholder[Int](49) } + if (bool17) { placeholder[Int](50) } else {\n placeholder[Int](51)\n }, func18(INPUTS) == func18(OUTPUTS) + if (bool10) { placeholder[Long](52) } else { placeholder[Long](53) }, allOf(\n Coll[Boolean](box19.value <= placeholder[Long](54), box19.tokens.size == placeholder[Int](55))\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a51",
"index": 0,
"amount": 1,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "11051e0200a6eed5dae26200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15,1,0,1696875592595,0]"
},
"R5": {
"serializedValue": "0c6301c0cceca0250008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564cf1cb43010040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc598380ade2040096c77bf362979a8c6f2c4a1fae54ced814983bc13fe4671a54dced71b6332f3300",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "c719a0cdca619c21ee20b45e18ce7006fc955d4cffa4392703fe1f3c36ff24db",
"transactionId": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"value": 1000000,
"index": 3,
"globalIndex": 33270739,
"creationHeight": 1107441,
"settlementHeight": 1107447,
"ergoTree": "0008cd02aad970eb29135abe3413c3e646cae8b660c1c7e95daf96694d6bdf86a627564c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(aad970,2f390c,...)))}",
"address": "9fpJdg3nqfqGiPUGG4JtyFURJAoK8Ej9ArX7LuLM3eGXBzoGTic",
"assets": [
{
"tokenId": "59abd2a3048bcd4c1e09aae894c4333af5033c3691cd516446e0499ef4429ed8",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1a9a772fa79d4d176770b2d02e567213976019cf7d30a6f1bcbb6535c03bcc18",
"mainChain": true
},
{
"boxId": "a44a7fe714d9cf4c9b13302122a5cc5de8d1eb7eede051a0b4bcb698e89fac63",
"transactionId": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"value": 1960040,
"index": 4,
"globalIndex": 33270740,
"creationHeight": 1107441,
"settlementHeight": 1107447,
"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": "67888a626ced2962b6b3b06b7124a0819bfadbc40b6915dd2428885fe8fc7f57",
"mainChain": true
},
{
"boxId": "be8818020c2380282c022cda9f809f065650702a541f3f7a2eca377c53eb3c2c",
"transactionId": "8eaabf668dafbd27281f038a6cbd1ca8eac8ecc94e14cbc496f477717325d951",
"blockId": "1389420aaafe075c20728cc03c3be382747b27747a8d50757c8b62ec5da44cd6",
"value": 39960,
"index": 5,
"globalIndex": 33270741,
"creationHeight": 1107441,
"settlementHeight": 1107447,
"ergoTree": "0008cd0257174dc1a4a3bbc5472da68929d98ed88f4b6626c45f0b3a72af42de446ffde9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(57174d,1edcf4,...)))}",
"address": "9fBR8zBMqLLpsRoishySvpVrsmq14Gm9nAciWb5qh2v2jKFtxqm",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "b0008c7f8584ea1979f6a811023ea2e4991736def272ce3e6441247ca88febbf",
"mainChain": true
}
],
"size": 5439,
"isUnconfirmed": false
}