Transaction
ID: 8c9dbef4e0...40a4
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:
0.001023 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000977 ERG
Tokens:
0
Transaction Details
Confirmations: 682,158
Total coins transferred: 0.009 ERG
Fees: 0.001023 ERG
Fees per byte: 0.000000183 ERG
Raw Transaction Data
{
"id": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"inclusionHeight": 1083124,
"timestamp": 1693746939293,
"index": 3,
"globalIndex": 5771926,
"numConfirmations": 682158,
"inputs": [
{
"boxId": "ddc8fc420d8645a5c9d08067459079fda8397844217e14c632065093abdf7bba",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "12ab7f6e4f9232928d7c461675f28b2aa2ea689e5fba817e8fc1c4cdc6316717",
"outputTransactionId": "9ff9108a10691f0340947aca2c6d9c1c9a4131de385b006913e27c44a2ff925e",
"outputIndex": 0,
"outputGlobalIndex": 32121855,
"outputCreatedAt": 1078141,
"outputSettledAt": 1078143,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\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": "0039092b403cc2f9c34c6f29107ce874a7ed1f947c435b2c7098e826b3acc85b",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00167889a067298df32fb5223b28d44ccca4f13a1b2415639bf99e9896c5a4b8",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0007acd39e28e8ec2d7bb76aca8fb93d92b978efc6905c2f759eb5e5a5f36eac",
"index": 2,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20006d0b54669fb5c16309bf2269f2f2c4fc047c1b61420cebe647279842ef67f3",
"sigmaType": "Coll[SByte]",
"renderedValue": "006d0b54669fb5c16309bf2269f2f2c4fc047c1b61420cebe647279842ef67f3"
}
}
},
{
"boxId": "c4b9b28c6ec17095bea696ccba6f0a94b6d92889753b133c707c4b5bf9990f0c",
"value": 8000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"outputTransactionId": "26ad80ba0883614f6dcb3bd2adb7d4e60d729912ba3729a93cd1cc7c34fd3aac",
"outputIndex": 0,
"outputGlobalIndex": 32320433,
"outputCreatedAt": 1083118,
"outputSettledAt": 1083124,
"ergoTree": "1009040004000580897a0400043c040004000e20006d0b54669fb5c16309bf2269f2f2c4fc047c1b61420cebe647279842ef67f30402d801d601b2a4730000d19593c57201c5a7d801d602b2a57301009683040192c1720299c1a7730293db63087202db6308a793c27202b2e4c6a7041a73030092db6905db6503fe9a8cc7a7017304d801d602e4c6a7050c639683030197addc0c0fb5a5d901036393c27203b2e4c6a7041a73050001d9010363db63087203d901034d0e938c7203018cb2db6308a77306000193e4c67201040e7307afdc0c1d720201b4a57308b17202d901033c636393c48c720301c48c720302",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 0\n4: 30\n5: 0\n6: 0\n7: Coll(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\n8: 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[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 allOf(Coll[Boolean](anyOf(OUTPUTS.filter({(box3: Box) => box3.propositionBytes == SELF.R4[Coll[Coll[Byte]]].get(placeholder[Int](5)) }).flatMap({(box3: Box) => box3.tokens }).map({(tuple3: (Coll[Byte], Long)) => tuple3._1 == SELF.tokens(placeholder[Int](6))._1 })), box1.R4[Coll[Byte]].get == placeholder[Coll[Byte]](7), coll2.zip(OUTPUTS.slice(placeholder[Int](8), coll2.size)).forall({(tuple3: (Box, Box)) => tuple3._1.bytesWithoutRef == tuple3._2.bytesWithoutRef })))\n )})\n}",
"address": "2ha1r5SsG1tLbsb1DTVQzSAv4MHzb1Zv9SYmXk9ZYVyGrotdKCpHPMSR3HEij11UnXhjX6gZ4AkgujFLxyEaw6J9hVjmYbCdTshHntKcFixaJZ71F1i5NnGe3aFUDVsC4i8uQgN1xqWhRZcSNDNq1NjTrVXMmvnQ5DJYtGfaatoa3Bzfoi8tKpHnCk6ggvBQGDLjPFTj8id2jbtN2vYKucekWWA5yzaLbuCnrWb1FeZP3E9evLfyfHNZwvUjtMJX7XhkYyBHW8H8ywEU4dx5Hr9WdA2mwejLuRZm15QXNYxMCqbGiaQFaz3FMQ6PFFiu9UyL9PMcynVxn",
"assets": [
{
"tokenId": "ea20d8908ea28353e11f999e91159e891070741454835434ab00645ba4f5c250",
"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": "1a02240008cd03d6f7e5f3bfb9bcdd5c9c47e163c27f79fd2fdf750e25a7e9c596cc0c838823df0d54657374205265646972656374",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0008cd03d6f7e5f3bfb9bcdd5c9c47e163c27f79fd2fdf750e25a7e9c596cc0c838823df,54657374205265646972656374]"
},
"R5": {
"serializedValue": 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aca8fb93d92b978efc6905c2f759eb5e5a5f36eac01021105080200caa4b9d7cc62000c6301c0843d0008cd03d6f7e5f3bfb9bcdd5c9c47e163c27f79fd2fdf750e25a7e9c596cc0c838823dfee8d42010040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983a08d06001d3378fb96bfca15a91955c2bcf3fdb90e803e56321900377b3a735ed3c1dbcd00dc9407be1c068ad8dcc8e0619906c3d4babd30e37c3a9d873092d1b1aba7e2f600",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"dataInputs": [
{
"boxId": "d99c812d465b4e4b1532e76dc873cc511cca28d053cb88f00f5274d18318ac5e",
"value": 1000000,
"index": 0,
"outputBlockId": "94641fe4a9fb8707e1259c953fd2c36ae8821162fe691e6de335c777f6b90146",
"outputTransactionId": "8817ac52414e8a85c008e8383fe845827768648c3aebf6b32b71baba87451a37",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e200007acd39e28e8ec2d7bb76aca8fb93d92b978efc6905c2f759eb5e5a5f36eac0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCjtiaJRngtsxP8jbdtnF4uLx2bERVR5EJNpBBsTw1HwfvvfPkxScVxAbPg3aaVVFk9LJLh2arNZTChHRz2NfFLXtPVHLwSLDsN35xcqGqqNZtNhpiyBp3enb6JWGrHMJ9nPat3KqQsoCSN6Wd7RECpcM8snddUXwPfbpYtEFM2tz1whkqMN465TsdJb",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6464772b6e7d0aa005cfb899476683f04e01d67c836bc03a41b3e44497a1ca7a8708072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "933f4fc25c7ca536dfdfe699c847c71f82bd9e08565e9a6bec5b9bbf8d1fb5df",
"transactionId": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"value": 1000000,
"index": 0,
"globalIndex": 32320439,
"creationHeight": 1083119,
"settlementHeight": 1083124,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\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": "5BHZcZ4BWGiHDwuq1jiFieW8bMikukd36ANmAZyvP2wqzK7bVktQ2dDMdMTRovAguCB6V4snJnE3kfLsYWJe7j1vwmfTM4nwHdJHjZA1g3oQZ1vDLCCAmbdikgiENSMRuKU9bb2GKpAtxRLwAf6MqXtg1WhjbNCjjRFJvrxyBtMAkQkAw4arCYGQqtQD1zYbo9L7Mo2EuuvFnQQyBx6jj1xpx3cnpuNpiQDL4WjQ8eVD2vCpQkaWrFwVAbpuFQiFg576VJ4hnXWkTqcMHYR16dwyc71fWhPMguSiqDJjwdMUK9n9HgY11ybxUJky4XaCKpWcnbqJtfEjE1uJ6DV9wu5GWyTW5qZHH8pRzbe1b8ibuv9pRR1Cm1fva8fjxD934KmZ2KjxKrvXyBm6yqjhsnPGM2CFAQrH7TKvGD6WBSz1tW3mpinGjw9WmYAEjESvCFWat2RX4x571uKtmHMxpzQThKve5Vr3zjkcgRatJkectw4A4gSAfoE3wHyyTqn5jF3j9iKEi3h2URhVQfFU4bh7oDzqpXrMhnuZcuRA3EY8NYsK8QnxFL3dYZ3iFW8ExnRw4PeAd2QRZj7hdYD6GcPccMA9PxVtGBBsHkrohtL5NsMh97DWbGvcsMUZKBbYX73d4Q21CWBr1NMmwYSYemmu14vMitPtZd6A24ZSF7pQVYFNUWXHNGYntqaVcDd1WDDuyBW93hW9rBarR15xTe7AWxr3E1262SDjCTEbbFwrsTtUgDyQVM1coyW3Rb2ShfMHFEEVokDHuN5uyEav313ZXA4e43sizL9RQ11kJaQ119PQbwsUNksz8rqvuK7A2pw9a4B1J9WCD9b71LpCc8ryRPf96vqTZkzCiNrhm7YB8mh8D3QEtMXoJG4WJuTP3kbuFE7LMVwfWyapH69zNjfPcwBtzVUCEfwgXgguUrWK6go4J2pi5beLokRtaL6eNMJZV9ULmKnLR4GLTqGWXgpugxu2rzMzndyPayvLZdQtBJwEzPNP4xaTzMmn1BBVmq4vn1vqZ5rMGJ5TLqNyFrzwVhUsbu3VbVjhC7UVeZ5Y78KyaLVV3hyEJpSEqrapFiWsTQ8exDkoj43YZFiBYzJKH7B3YxkMtPFtCZTX4NuqqpPuWjLSwZSQ9S8jpamsQu6qvUu1sTYWuGeZKh1kg1pqRuPu2jzgujPcMCk8jYB4n2d3gZ5wPq1hy4vPxwEeB5ChYJaHG1AU7hD95xgfUrqu2dJ7sBoWnm36kx6YGFeG2Ye3CrPKo9Ja2CPkSqygQ5T5jti5de74s7nKrHDQRYd8w39WepcnmGe9Ghsrn3uA9kRegKye6QEdUyp8oN",
"assets": [
{
"tokenId": "0039092b403cc2f9c34c6f29107ce874a7ed1f947c435b2c7098e826b3acc85b",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00167889a067298df32fb5223b28d44ccca4f13a1b2415639bf99e9896c5a4b8",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0007acd39e28e8ec2d7bb76aca8fb93d92b978efc6905c2f759eb5e5a5f36eac",
"index": 2,
"amount": 9223372036854776000,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20006d0b54669fb5c16309bf2269f2f2c4fc047c1b61420cebe647279842ef67f3",
"sigmaType": "Coll[SByte]",
"renderedValue": "006d0b54669fb5c16309bf2269f2f2c4fc047c1b61420cebe647279842ef67f3"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "7a4795fbe1a70ec743f176c856e3c132c685cd1666f884a0feb19c60f2422195",
"transactionId": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"value": 4000000,
"index": 1,
"globalIndex": 32320440,
"creationHeight": 1083118,
"settlementHeight": 1083124,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\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": "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",
"assets": [
{
"tokenId": "00167889a067298df32fb5223b28d44ccca4f13a1b2415639bf99e9896c5a4b8",
"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": "10020801",
"sigmaType": "Coll[SInt]",
"renderedValue": "[4,-1]"
},
"R5": {
"serializedValue": "1104caa4b9d7cc62000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1693919422757,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0d54657374205265646972656374",
"sigmaType": "Coll[SByte]",
"renderedValue": "54657374205265646972656374"
}
},
"spentTransactionId": "ba43c59c5f90b6d5c81f4d27f5c613021dcdbe3270b3422a740a2bdf04c16d1e",
"mainChain": true
},
{
"boxId": "66197d230d5a00c6b605ba808bdd0d78980794d05bbf76901d1bd54e5ebd4f0f",
"transactionId": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"value": 1000000,
"index": 2,
"globalIndex": 32320441,
"creationHeight": 1083118,
"settlementHeight": 1083124,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\n34: 0\n35: Coll(0,22,120,-119,-96,103,41,-115,-13,47,-75,34,59,40,-44,76,-52,-92,-15,58,27,36,21,99,-101,-7,-98,-104,-106,-59,-92,-72)\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": "0007acd39e28e8ec2d7bb76aca8fb93d92b978efc6905c2f759eb5e5a5f36eac",
"index": 0,
"amount": 1,
"name": "Paideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1105080200caa4b9d7cc6200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,1,0,1693919422757,0]"
},
"R5": {
"serializedValue": "0c6301c0843d0008cd03d6f7e5f3bfb9bcdd5c9c47e163c27f79fd2fdf750e25a7e9c596cc0c838823dfee8d42010040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983a08d06001d3378fb96bfca15a91955c2bcf3fdb90e803e56321900377b3a735ed3c1dbcd00",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "9537e3807574eb587dcee6b790465832804ce0c2b9f2b69c89c6bae9d80b30c9",
"transactionId": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"value": 1000000,
"index": 3,
"globalIndex": 32320442,
"creationHeight": 1083119,
"settlementHeight": 1083124,
"ergoTree": "0008cd03d6f7e5f3bfb9bcdd5c9c47e163c27f79fd2fdf750e25a7e9c596cc0c838823df",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d6f7e5,e0f42b,...)))}",
"address": "9i6UmaoJKWHgWkuq1EJUoYu2hrkRkxAYwQjDotHRHfGrBo16Rss",
"assets": [
{
"tokenId": "ea20d8908ea28353e11f999e91159e891070741454835434ab00645ba4f5c250",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "a6a4106edf4563ea22aa6d1963b0d41a61f027dc75c5945c602438b627f092e8",
"mainChain": true
},
{
"boxId": "0ca9341515e52a1e00912a981ac6609d6915911590bc29235a58283dec8d87c6",
"transactionId": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"value": 1023000,
"index": 4,
"globalIndex": 32320443,
"creationHeight": 1083119,
"settlementHeight": 1083124,
"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": "477b234de06c0e2959a7723ac2266eb085dca894652efbf08e5034e828cbae49",
"mainChain": true
},
{
"boxId": "ba079005a925dd5c5ab0d1a573a0c19ad26f7c825119b0dce37ade3931efa74b",
"transactionId": "8c9dbef4e02760bd9bb3abf6fdc78f138f54800d87fb31252003548b8d3a40a4",
"blockId": "290c791c223111b7cb19fb6abc6879ff4ef829766b83b05cf850e3b4c3bc91e8",
"value": 977000,
"index": 5,
"globalIndex": 32320444,
"creationHeight": 1083119,
"settlementHeight": 1083124,
"ergoTree": "0008cd039a7f2eebab84960d86f4ea4e7e0023022a8eae973b2e363ed06b1537b53e4230",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9a7f2e,bf1fe5,...)))}",
"address": "9hdr73koGHqYMBwa3Q18mhgzr69F47omriv2Hhozz71Qg62uVZn",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7d6b31769d0febaeb42175cc9239dca235aeee8b57308fba47cd4b7ceca990d1",
"mainChain": true
}
],
"size": 5577,
"isUnconfirmed": false
}