Transaction
ID: bc29da93bc...2f79
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)
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...
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:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Transaction Details
Confirmations: 749,292
Total coins transferred: 0.009 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000191 ERG
Raw Transaction Data
{
"id": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"inclusionHeight": 1010511,
"timestamp": 1684919051938,
"index": 13,
"globalIndex": 5257924,
"numConfirmations": 749292,
"inputs": [
{
"boxId": "3edefe3dca28012195a288481def2b18fe6d6511d086961f720eecffd8f3dee5",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "2d913bc45e33629dbffa0d180ed75a10ec2e8c15de190501cb1cdc5eda667105",
"outputTransactionId": "e07585ab67e03c71f456314295fa6626cd4560615b5137432fed56c55b9161da",
"outputIndex": 0,
"outputGlobalIndex": 29368411,
"outputCreatedAt": 1009860,
"outputSettledAt": 1009862,
"ergoTree": "10360400040204000e20039d2a0a218d7c48c8fd46a8d29431bd056c84882a216a567326c3c7984ec8350e20f5918eb4b0283c669bdd8a195640766c19e40a693a6697b775b08e09052523d40402040204040404040204020402040005feffffffffffffffff01040004020e20f0367ddf3435981f4aa5571b91dd46fe813667f2888d4fc691968fde15879b970e1e696d2e706169646569612e636f6e7472616374732e70726f706f73616c2e0e1c696d2e706169646569612e636f6e7472616374732e616374696f6e2e0404040404000e2077fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c04000400040204420400040005020406040005020e205304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a0590904020402041204020402044204000400040204120402050004000502040004020500040404020442d81dd601db6501fed602b27201730000d603b27201730100d604e4c6a7040ed605b2a5730200d606dc640be4c6720204640283020e73037304e4e3000ed607db63087205d608db6308a7d609b27207730500d60ab27208730600d60b8c720a01d60c8c720a02d60db27207730700d60eb27208730800d60f8c720e01d610e4c6b2a4730900050c63d611b47210730ab17210d612b17211d613b2a5730b00d614b27210730c00d61599730d720cd616db63087213d617b27216730e00d618b27216730f00d619c27213d61ac27214d61bdc640be4c67203046402b383020e7310cbb37311721aad7211d9011b63cbb37312c2721be4e3010ed61ce4c672130511d61db4a573139a72127314d196830501938cb2db63087202731500017316938cb2db630872037317000172049683090193cbc27205b4e4b272067318007319731a92c17205c1a793b27207731b00b27208731c00938c720901720b938c72090299720c731d938c720d01720f938c720d02998c720e027e72120593b17207731e93e4c67205040e720496830a0192c17213c17214937eb2e4c672130410731f00057215938c721701720b938c7217027320938c7218017321938c7218027cb4e4b2720673220073237324937219721a93cb7219b4e4b2721b7325007326732792b2721c7328009adb6903db6503fe7cb4e4b2721b732900732a732bafb4721c732cb1721cd9011e0593721e732dafdb0c0e721dd9011e04d803d620b2721d721e00d621b2db63087220732e00d622e4c6722004119683060192c17220c1b27211721e00938c722101720f938c722102732f93b27222733000721592b27222733100733293cbc27220b2adb4721b7333b1721bd9012332b4e4722373347335721e00",
"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(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n23: 0\n24: 0\n25: 1\n26: 33\n27: 0\n28: 0\n29: 1\n30: 3\n31: 0\n32: 1\n33: Coll(83,4,-93,-83,21,100,-79,8,-97,-25,26,-41,-123,60,-93,-9,-45,8,-104,-29,-40,-120,-71,96,45,-56,124,57,39,-96,89,9)\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": "bd7d0886e00205815b3a73190a15010b76be295b5097756774ff35276b284c94",
"index": 0,
"amount": 1,
"name": "bPaideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0c918fc299d1e201d2157ffc8a994d33eb0663324782458c10a88f0678914547",
"index": 1,
"amount": 9223372036854776000,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "be73cefb89c4f9f4e182fe80391039a2b9048c972be155812f57cfc1b79c7922",
"index": 2,
"amount": 9223372036854776000,
"name": "bPaideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c",
"sigmaType": "Coll[SByte]",
"renderedValue": "77fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c"
}
}
},
{
"boxId": "d0e2fb89e4a644edee9b4ea8b178efc59129c3d74fbf800c5f559a2176161818",
"value": 8000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"outputTransactionId": "c726b512889526baf4ab9bf014988126a8c72d652df71f93a9e9dda88c0d16e4",
"outputIndex": 0,
"outputGlobalIndex": 29397810,
"outputCreatedAt": 1010509,
"outputSettledAt": 1010511,
"ergoTree": "1007040004000580897a043c04000e2077fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c0402d801d601b2a4730000d19593c57201c5a7d801d602b2a57301009683040192c1720299c1a7730293db63087202db6308a793c27202e4c6a7040e92db6905db6503fe9a8cc7a7017303d801d602e4c6a7050c639683030197addc0c0fb5a5d901036393c27203e4c6a7040e01d9010363db63087203d901034d0e938c7203018cb2db6308a77304000193e4c67201040e7305afdc0c1d720201b4a57306b17202d901033c636393c48c720301c48c720302",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 0\n5: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n6: 1",
"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[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val coll2 = SELF.R5[Coll[Box]].get\n allOf(Coll[Boolean](anyOf(OUTPUTS.filter({(box3: Box) => box3.propositionBytes == SELF.R4[Coll[Byte]].get }).flatMap({(box3: Box) => box3.tokens }).map({(tuple3: (Coll[Byte], Long)) => tuple3._1 == SELF.tokens(placeholder[Int](4))._1 })), box1.R4[Coll[Byte]].get == placeholder[Coll[Byte]](5), coll2.zip(OUTPUTS.slice(placeholder[Int](6), coll2.size)).forall({(tuple3: (Box, Box)) => tuple3._1.bytesWithoutRef == tuple3._2.bytesWithoutRef })))\n )})\n}",
"address": "MQQUNurQr3MfaD2BqM9ZW4wYDhLRtY2p471hoECBDGKEfoaKfdTovV6CpjJQgXLpnoHKRsSeRufR9FxWaHg7jAb3cwqDAaMnDwZebtCbugEStYfNZUqDnmuEV1nNBqsaHZSFRnWjudqiq8ue3Ni9DEkjE9u1paCpYA8SX5Ngad46gJPbVAc9Z81mEq6rAFD1L1vJJBPTovG4dbfwiHcRFhguQfsn6TrzJxSvS9ngKFViDtCwWWYu4936KeyFJDXzgehpBpFPWzujvGXD97BRzbj4rJe3ga7bCK4bsVZnrH2RFCz5rYeNfuTj8oq3",
"assets": [
{
"tokenId": "e6fe14036723adcdbf1d86e70100cef4584eab70fa230dd3e1441e803402dc0d",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 11000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e"
},
"R5": {
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"sigmaType": null,
"renderedValue": null
}
}
}
],
"dataInputs": [
{
"boxId": "04f4d3082da51118ac3ec8a0c53adb4bf6aa6ae285f132d2652178eb00006e88",
"value": 1000000,
"index": 0,
"outputBlockId": "b009344a33a7aa2dc322bdf94ffb84d81989b9ff900271993415f85ef20af03e",
"outputTransactionId": "c9391df60db0a4d853aa8eabb82a987962008631db8be94baf15c6ea58855b02",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20be73cefb89c4f9f4e182fe80391039a2b9048c972be155812f57cfc1b79c79220100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbgJEfL4ygmupX3SBCkck48naRFWM9kHwgyft5vw7doPecLmXEycpyaqPtKevKmLtdfZYJsoaBuhPRRQWvcfdDZpKLKYgSMCJxrRicWgYnViLAj4NWSAuYdEkmQp4YsDafgDEjwn2rbFUa8p7wduk6kim3d7Y9E52Xq8PtRWH7Td8fMsDDp9eHx9GvjvDG",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64c5ef1ecc3d66332e072cdcc588e6bd22db8fb0483aa8bc389547cb3b4efa55d408072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "abc01c734f6bba053d77c2be08086612a11ad416ceb810255cc1c96e95ca256e",
"transactionId": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"value": 1000000,
"index": 0,
"globalIndex": 29397823,
"creationHeight": 1010509,
"settlementHeight": 1010511,
"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(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n23: 0\n24: 0\n25: 1\n26: 33\n27: 0\n28: 0\n29: 1\n30: 3\n31: 0\n32: 1\n33: Coll(83,4,-93,-83,21,100,-79,8,-97,-25,26,-41,-123,60,-93,-9,-45,8,-104,-29,-40,-120,-71,96,45,-56,124,57,39,-96,89,9)\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": "5BHZcZ4BWGiHDwuq1jiFieW8bMikukd36ANmAZyvP2wqzK7bVktQ2dDMdMTRovAguCB6V4snJnE3kfLsYWJe7j1vwmfTM4nwHdJHjZA1g3oQZ1vDLCCAmbdikgiENSMRuKU9bb2GKpAtxRLwAf6MqXtg1WhjbNCjjRFJvrxyBtMAkQkAw4arCYGQqtQD1zYbo9L7Mo2EuuvFnQQyBx6jj1xpx3cnpuNpiQDL4WjQ8eVD2vCpQkaWrFwVAbpuFQiFg576VJ4hnXWkTqcMHYR16dwyc71fWhPMhFDZntVNhBaJyteWDDAahPJ7dGhkqyvu3mGWBjAxPTJHHBrf69ypeZ89MwWAsL5FM8YkuBsSgCdVNUSTPj16mFnwFkYGP8XqeGSUFUJ3398i6zVqngbACBMQzrHy9w2ve2fgJdmbTCMrZnQkKUBwNJPktWCNxqDBCRsnMGePwHCVhAjZvEyVbBkSdE4PfjMK4vstMbSMkquEZSuRtcu6Uz6sfN7FXKYMB12Ct8hc8hpGShwTg3vzZFiEtDzrcnx7XnUVFbxVrY7aubxfDUTQ2cGzjiixU6DPRbsW8PdpkFQrVuxQdtrNHsw3V4gcBFcEujJirbLFjfmk5zYYKTFZd6pppDGtFPuQz41rD9kQjTYACtN1FHsUZpz9LicVSjaMyiY1ArzsX7uqHrNgeARzyQyNjfEpgNArbwnXNbvtSDAqpTZGSmDX7dfxzqy7eRJfR17Ac73EiYZ1trzRfWiRdJt28fDokh7hD5TgdBXRqmQ69nduSjtLsAkhXYqv6Z6GfNUj2bxy6hBe4agJxS6FtcfQX2MWbLNS9wJt5Jd1kXPxjjE9ds3Xhj5TGC7o34bFuTeGH1bKftpvZj7UoftYniNrn1JB7ubEGLXiGeHFJzSEo54AtwNFDJprtwgR8h6EcpsgVPf58sByCQ42SFsWXU8fdcrFG3JjoBp5kMN6r9KTMWec7nz8VMjjdzopmYqFfeKQfSL493fKdfah2QyT6JF8h5HWgUs5q1WkpgBcr8xCk14FprdZb4BVQT9VbK1R6UnRhbMyzX8LtsU96vdrU3sTCWsQRWzgHTJ9zFFUvSVKMPQKGojKZHtn2vPMq8uq91vYc6oUCJ5Jz3A341CQWiZ8xAjDmmQv7p4TA8Z2f6N837z9NWyyvB9fJuDmhpnCUkEyUnSQXy7GZUn3WkFT523R8FEwNbaxcztjUNFZavbGG9ULgYuhFi9PdmKqbpVJ4T2E85RUaetg5cBH2bmPp8JtvpoZeBqPbaHvPCGzhS3MDAoYGo5XJAPMCy8pyxbUD3iqw5MDspuANX8995GjyW5xoJisxW",
"assets": [
{
"tokenId": "bd7d0886e00205815b3a73190a15010b76be295b5097756774ff35276b284c94",
"index": 0,
"amount": 1,
"name": "bPaideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0c918fc299d1e201d2157ffc8a994d33eb0663324782458c10a88f0678914547",
"index": 1,
"amount": 9223372036854776000,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "be73cefb89c4f9f4e182fe80391039a2b9048c972be155812f57cfc1b79c7922",
"index": 2,
"amount": 9223372036854776000,
"name": "bPaideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2077fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c",
"sigmaType": "Coll[SByte]",
"renderedValue": "77fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "ef54a7f3329c20891826cb9d348bb4488affbceea89d005e8eae45eed5fd0a59",
"transactionId": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"value": 4000000,
"index": 1,
"globalIndex": 29397824,
"creationHeight": 1010509,
"settlementHeight": 1010511,
"ergoTree": "104404000e2077fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c04040e20f6ff8b7210015545d4b3ac5fc60c908092d035a1a16155c029e8d511627c7a2c0e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf040204000400040104000402040104040400040004020e20f5918eb4b0283c669bdd8a195640766c19e40a693a6697b775b08e09052523d40e20767caa80b98e496ad8a9f689c4410ae453327f0f95e95084c0ae206350793b770400040005809bee02040004000400040004020402040404000402041205d00f04030402040204420580897a0e205304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a059090402040004020412040004060400040004100410040204100500040404020404040004100420040004000410041004020410050004000402040c044cd80ed601db6501fed602b27201730000d6037301d604e4c6a70410d605e4c6a70511d606b472057302b17205d607e3044005d608e47207d6098c720801d60a8c720802d60be4c6a70664d60cdc640be4c6720204640283020e73037304e4e3000ed60db27205730500d60eb27205730600d196830201938cb2db6308720273070001720395ed93dc0c1aa402a77308730993b27204730a00730bd80ad60fb27201730c00d610ededafdb0c0e7206d901100495937210720993b27206721000720a90b27206721000720a91b172067209927209730dd611b2a5730e00d612db6308a7d613e4c672110410d6147207d6157208d616b2a5730f00d617dc640be4c6720f04640283020e73107311e4e3010ed618b2db6308721673120096830501938cb2db6308720f73130001720372109683080193c27211c2a792c1721199c1a7731493b2db63087211731500b2721273160093b27213731700b2720473180093e4c672110511720593e4c672110664720b93b272137319009591720d9d9cb2e4c6b27201731a000511731b007cb4e4b2720c731c00731d731e731f72097320721091db6903db6503fe720e9683040193cbc27216b4e4b272177321007322732392c172167324938c7218017325928c721802a18cb27212732600027cb4e4b2721773270073287329d80dd60fb2a4732a00d610b2a4732b00d6118cb2db63087210732c0001d612e4c67210050ed613adb4db0c0e7212732d9db17212732ed90113047cb472129c7213732f9c9a721373307331d614b072137332d90114599a8c7214018c721402d615b2a5733300d616e4c672150511d617dc640a720b027211e4e3010ed618e67217d619b27216733400d61ab472167335b17216d61be4e3020e96830901927cb4e4dc640ab2e4c6720f040c64733600027211e4e3030e73377338721493c27215c2a792c17215c1a793db63087215db6308a793e4c672150410720493b27216733900720e957218d802d61ce47217d61dadb4db0c0e721c733a9db1721c733bd9011d047cb4721c9c721d733c9c9a721d733d733e968302019372199a99720db0721d733fd9011e599a8c721e018c721e02721493721aaddc0c1d720601addc0c1d721d017213d9011e59998c721e028c721e01d9011e599a8c721e018c721e02968302019372199a720d721493721aaddc0c1d7206017213d9011c599a8c721c018c721c0293db6401e4c672150664db6401957218e4dc640d720b0283013c0e0e860272117212721be4dc640c720b0283013c0e0e860272117212721b938cb2db6308720f73400001b4e4b2720c73410073427343",
"ergoTreeConstants": "0: 0\n1: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n2: 2\n3: 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)\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: 1\n6: 0\n7: 0\n8: -1\n9: 0\n10: 1\n11: -1\n12: 2\n13: 0\n14: 0\n15: 1\n16: 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)\n17: 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)\n18: 0\n19: 0\n20: 3000000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 1\n27: 2\n28: 0\n29: 1\n30: 9\n31: 1000\n32: -2\n33: 1\n34: 1\n35: 33\n36: 1000000\n37: Coll(83,4,-93,-83,21,100,-79,8,-97,-25,26,-41,-123,60,-93,-9,-45,8,-104,-29,-40,-120,-71,96,45,-56,124,57,39,-96,89,9)\n38: 1\n39: 0\n40: 1\n41: 9\n42: 0\n43: 3\n44: 0\n45: 0\n46: 8\n47: 8\n48: 1\n49: 8\n50: 0\n51: 2\n52: 1\n53: 2\n54: 0\n55: 8\n56: 16\n57: 0\n58: 0\n59: 8\n60: 8\n61: 1\n62: 8\n63: 0\n64: 0\n65: 1\n66: 6\n67: 38",
"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 = SELF.R5[Coll[Long]].get\n val coll6 = coll5.slice(placeholder[Int](2), coll5.size)\n val opt7 = getVar[(Int, Long)](4.toByte)\n val tuple8 = opt7.get\n val i9 = tuple8._1\n val l10 = tuple8._2\n val avlTree11 = SELF.R6[AvlTree].get\n val coll12 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get)\n val l13 = coll5(placeholder[Int](5))\n val l14 = coll5(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](7))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](8)) == placeholder[Int](9)) && (\n coll4(placeholder[Int](10)) == placeholder[Int](11)\n )) {(\n val box15 = coll1(placeholder[Int](12))\n val bool16 = (coll6.indices.forall({(i16: Int) => if (i16 == i9) { coll6(i16) == l10 } else { coll6(i16) <= l10 } }) && (coll6.size > i9)) && (\n i9 >= placeholder[Int](13)\n )\n val box17 = OUTPUTS(placeholder[Int](14))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt7\n val tuple21 = tuple8\n val box22 = OUTPUTS(placeholder[Int](15))\n val coll23 = box15.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](16), placeholder[Coll[Byte]](17)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](19))._1 == coll3, bool16, allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](20), box17.tokens(\n placeholder[Int](21)\n ) == coll18(placeholder[Int](22)), coll19(placeholder[Int](23)) == coll4(placeholder[Int](24)), box17.R5[Coll[Long]].get == coll5, box17.R6[\n AvlTree\n ].get == avlTree11, coll19(placeholder[Int](25)) == if (l13 > coll1(placeholder[Int](26)).R5[Coll[Long]].get(\n placeholder[Int](27)\n ) * byteArrayToLong(coll12(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))) / placeholder[Long](31)) { i9 } else {\n placeholder[Int](32)\n }, bool16\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](33)).get.slice(\n placeholder[Int](34), placeholder[Int](35)\n ), box22.value >= placeholder[Long](36), tuple24._1 == placeholder[Coll[Byte]](37), tuple24._2 >= min(\n coll18(placeholder[Int](38))._2, byteArrayToLong(coll23(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](42))\n val box16 = INPUTS(placeholder[Int](43))\n val coll17 = box16.tokens(placeholder[Int](44))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](45), coll18.size / placeholder[Int](46)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](47), i19 + placeholder[Int](48) * placeholder[Int](49))) }\n )\n val l20 = coll19.fold(placeholder[Long](50), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](51))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree11.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](52))\n val coll26 = coll22.slice(placeholder[Int](53), 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](54)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](55), placeholder[Int](56)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll4, coll22(placeholder[Int](57)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](58), coll28.size / placeholder[Int](59)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](60), i29 + placeholder[Int](61) * placeholder[Int](62))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](63), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll6.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 == coll6.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree11.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree11.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](64))._1 == coll12(placeholder[Int](65)).get.slice(placeholder[Int](66), placeholder[Int](67))\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0c918fc299d1e201d2157ffc8a994d33eb0663324782458c10a88f0678914547",
"index": 0,
"amount": 1,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 10000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020201",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,-1]"
},
"R5": {
"serializedValue": "110490c1c6d38962000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684922749000,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "85a72ec19f1874fb68cd98d937a86c641557a61169ea1f5e026437edf33d7d4d",
"mainChain": true
},
{
"boxId": "dff0b36b9b2549eef553842f2b79891f313ffbd617ac26d75957da604c474259",
"transactionId": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"value": 1000000,
"index": 2,
"globalIndex": 29397825,
"creationHeight": 1010509,
"settlementHeight": 1010511,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 3\n5: 2\n6: 0\n7: 4\n8: 1\n9: 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)\n10: 0\n11: 1\n12: 33\n13: 0\n14: 2\n15: 0\n16: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n17: 0\n18: Coll(12,-111,-113,-62,-103,-47,-30,1,-46,21,127,-4,-118,-103,77,51,-21,6,99,50,71,-126,69,-116,16,-88,-113,6,120,-111,69,71)\n19: 0\n20: 1\n21: 0\n22: 1\n23: 2\n24: 1\n25: 3\n26: 4\n27: 0\n28: 0\n29: 1\n30: 1\n31: 0\n32: 2\n33: 1\n34: 0\n35: 1\n36: 5000000\n37: 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 i14 = OUTPUTS.size\n val box15 = OUTPUTS(i14 - placeholder[Int](8))\n val bool16 = blake2b256(box15.propositionBytes) == box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](9)), getVar[Coll[Byte]](0.toByte).get\n )(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12))\n val func17 = {(coll17: Coll[Box]) =>\n coll17.flatMap({(box19: Box) => box19.tokens }).fold(placeholder[Long](13), {(tuple19: (Long, (Coll[Byte], Long))) => tuple19._1 + tuple19._2._2 })\n }\n val box18 = if (bool16) { OUTPUTS(i14 - placeholder[Int](14)) } else { box15 }\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16), allOf(\n Coll[Boolean](\n box3.tokens(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18), coll4(placeholder[Int](19)).toLong == l6, coll4(\n placeholder[Int](20)\n ).toLong == l7\n )\n ), CONTEXT.preHeader.timestamp >= l8, if (bool10) {(\n val box19 = OUTPUTS(coll11.size)\n val coll20 = box19.R4[Coll[Long]].get\n allOf(\n Coll[Boolean](\n box19.value == SELF.value, box19.tokens == SELF.tokens, coll20(placeholder[Int](21)) == l6, coll20(placeholder[Int](22)) == l7, coll20(\n placeholder[Int](23)\n ) == l9 - placeholder[Long](24), coll20(placeholder[Int](25)) == l8 + l12, coll20(placeholder[Int](26)) == l12, box19.R5[\n Coll[Box]\n ].get == coll11, box19.propositionBytes == SELF.propositionBytes\n )\n )\n )} else {\n !OUTPUTS.exists({(box19: Box) => box19.tokens.exists({(tuple21: (Coll[Byte], Long)) => tuple21._1 == SELF.tokens(placeholder[Int](27))._1 }) })\n }, coll11.zip(OUTPUTS.slice(placeholder[Int](28), i13 - placeholder[Int](29))).forall(\n {(tuple19: (Box, Box)) => tuple19._1.bytesWithoutRef == tuple19._2.bytesWithoutRef }\n ), i14 == i13 + if (bool10) { placeholder[Int](30) } else { placeholder[Int](31) } + if (bool16) { placeholder[Int](32) } else {\n placeholder[Int](33)\n }, func17(INPUTS) == func17(OUTPUTS) + if (bool10) { placeholder[Long](34) } else { placeholder[Long](35) }, allOf(\n Coll[Boolean](box18.value <= placeholder[Long](36), box18.tokens.size == placeholder[Int](37))\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "be73cefb89c4f9f4e182fe80391039a2b9048c972be155812f57cfc1b79c7922",
"index": 0,
"amount": 1,
"name": "bPaideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110502020090ea9db2f26100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,0,1681800805000,0]"
},
"R5": {
"serializedValue": "0c6301c0843d0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221ecdd63d015304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909a08d0600bf339690196ee0376df3b23c409bbd552367b33eb007c484855d46dde7b3be4400",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "4fda4635819c18e7223c4ecea6b5e634bf3a2ab90874b5914f3ed3a3e17d69af",
"transactionId": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"value": 1000000,
"index": 3,
"globalIndex": 29397826,
"creationHeight": 1010509,
"settlementHeight": 1010511,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "e6fe14036723adcdbf1d86e70100cef4584eab70fa230dd3e1441e803402dc0d",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "22707d66cd234b71bbd12d05a89e7d34b7e9207e18b5d69201bcb046de84276a",
"mainChain": true
},
{
"boxId": "8ba3f9ceec7f6c9c44eb2122c69828ed9fdd14057c6bb70eb8d86508ef24ef9a",
"transactionId": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"value": 1000000,
"index": 4,
"globalIndex": 29397827,
"creationHeight": 1010509,
"settlementHeight": 1010511,
"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": "d3e73ab603ca34482dec7f6b7dbf19bea15367762fdaac20f0af9d19de52f5cc",
"mainChain": true
},
{
"boxId": "c55dc0bdd4fa45b23dcbf1b6cc300dfbf5b303e0514b5b8c910b4a5cf8fef4cf",
"transactionId": "bc29da93bcb1d12387dd7edebaa2afb04bfad0d860313d9d9ea2eb19b28d2f79",
"blockId": "fed77d7d1e896d40ec2cbda508f31e8fc875036f1535f32d5a3af09fc098d57e",
"value": 1000000,
"index": 5,
"globalIndex": 29397828,
"creationHeight": 1010509,
"settlementHeight": 1010511,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e3cb89011738127f98fbe72ce0751d2dcd35f039b4a8a35c4952a6cfbe70067f",
"mainChain": true
}
],
"size": 5238,
"isUnconfirmed": false
}