Transaction
ID: 5269247d00...6a94
Inputs (10)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00250144 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00249712 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00500072 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00510288 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00550396 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00005868 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00340072 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.08649604 ERG
Tokens:
199,999,899.90
Outputs (6)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.10856156 ERG
Tokens:
159,999,899.90
Transaction Details
Confirmations: 796,345
Total coins transferred: 0.11456156 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000149 ERG
Raw Transaction Data
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"inclusionHeight": 972235,
"timestamp": 1680260728432,
"index": 2,
"globalIndex": 4984180,
"numConfirmations": 796345,
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{
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{
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{
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"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
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{
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"name": "PaideiaAlpha Action",
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{
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"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
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{
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"name": "PaideiaAlpha Vote",
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{
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"outputIndex": 2,
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
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{
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"name": "PaideiaAlpha Proposal",
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{
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"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
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"index": 0,
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],
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{
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"outputIndex": 2,
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"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
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"amount": 9223372036854776000,
"name": "PaideiaAlpha DAO",
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{
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"name": "PaideiaAlpha Origin",
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"sigmaType": "Coll[SByte]",
"renderedValue": "50616964656961416c706861204f726967696e"
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{
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"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "PaideiaAlpha DAO Key",
"decimals": 0,
"type": "EIP-004"
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],
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{
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"outputIndex": 2,
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"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
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"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
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"index": 0,
"amount": 1999998999000,
"name": "PaideiaAlpha",
"decimals": 4,
"type": "EIP-004"
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],
"additionalRegisters": {}
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],
"dataInputs": [],
"outputs": [
{
"boxId": "74d4bb52138669c17995c9a7973665fcef9103c03850251c9913da40941b972f",
"transactionId": "5269247d007c9db083d7c368f89325915fa6ade30402205908d33a3bc04c6a94",
"blockId": "785f16991e8b801c0bd00d2d33f5fad2ef5633779b515fa830d81647db48dfbd",
"value": 1000000,
"index": 0,
"globalIndex": 27906325,
"creationHeight": 972233,
"settlementHeight": 972235,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 1\n4: 1\n5: 0\n6: 0\n7: Coll(114,41,-3,-81,-69,-106,17,111,60,-120,94,-67,115,25,-93,41,-124,66,-54,-124,0,56,-18,12,94,109,50,-22,115,94,74,22)\n8: Coll(70,-77,100,10,49,115,-124,-67,-86,80,-73,-92,32,-49,-113,54,-93,-72,121,-2,78,-52,18,-74,-110,74,-50,69,-25,53,33,35)\n9: Coll(91,-28,71,-57,19,-110,-60,48,-80,18,96,72,38,-97,-102,120,-118,-13,85,39,117,95,-84,-23,-46,41,-3,-122,83,14,52,-11)\n10: Coll(29,-20,-78,79,8,-7,-1,21,34,-74,83,-91,86,-114,114,-35,66,77,-118,-104,86,31,62,-49,46,-20,-95,-126,50,37,-57,105)\n11: 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)\n12: 0\n13: 2\n14: 0\n15: 1\n16: 2\n17: 2\n18: 1\n19: 33\n20: 1\n21: 4\n22: 1\n23: 33\n24: 0\n25: 1\n26: 9\n27: 1000000\n28: Coll(1,42,-20,-107,-81,36,-127,42,1,119,93,-32,-112,65,27,-89,10,100,-113,-24,89,1,63,-119,108,-94,-95,-87,88,-126,-50,95)\n29: 1\n30: 1\n31: 9\n32: 0\n33: 3\n34: 1\n35: 33",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](2))\n val tuple6 = coll2(placeholder[Int](3))\n val tuple7 = coll4(placeholder[Int](4))\n val coll8 = tuple7._1\n val box9 = OUTPUTS(placeholder[Int](5))\n val coll10 = CONTEXT.dataInputs(placeholder[Int](6)).R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9), placeholder[Coll[Byte]](10), placeholder[Coll[Byte]](11)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val tuple11 = box9.tokens(placeholder[Int](12))\n val box12 = OUTPUTS(placeholder[Int](13))\n val tuple13 = box12.tokens(placeholder[Int](14))\n sigmaProp(\n allOf(\n Coll[Boolean](\n tuple3._1 == tuple5._1, tuple3._2 == tuple5._2, tuple6._1 == coll8, tuple6._2 == tuple7._2 - placeholder[Long](15), coll2.size == placeholder[Int](\n 16\n ), box1.propositionBytes == SELF.propositionBytes, blake2b256(box9.propositionBytes) == coll10(placeholder[Int](17)).get.slice(\n placeholder[Int](18), placeholder[Int](19)\n ), tuple11._1 == coll8, tuple11._2 == placeholder[Long](20), blake2b256(box12.propositionBytes) == coll10(placeholder[Int](21)).get.slice(\n placeholder[Int](22), placeholder[Int](23)\n ), box12.value == byteArrayToLong(coll10(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))) + placeholder[Long](\n 27\n ), tuple13._1 == placeholder[Coll[Byte]](28), tuple13._2 == byteArrayToLong(\n coll10(placeholder[Int](29)).get.slice(placeholder[Int](30), placeholder[Int](31))\n ), blake2b256(INPUTS(placeholder[Int](32)).propositionBytes) == coll10(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "016fe1113851b7295fba5e047b9bc27e2a336b81231899281dfa217171737e92",
"index": 0,
"amount": 1,
"name": "PaideiaAlpha Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "011a3f1627ee8005340841b0161ae36aedb99c6287097722f6fe18b510c17e5e",
"index": 1,
"amount": 9223372036854776000,
"name": "PaideiaAlpha DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "5fa42439b194d310682f1dc198a209af68f368849e0618a811f74d645a3eaeb6",
"transactionId": "5269247d007c9db083d7c368f89325915fa6ade30402205908d33a3bc04c6a94",
"blockId": "785f16991e8b801c0bd00d2d33f5fad2ef5633779b515fa830d81647db48dfbd",
"value": 1000000,
"index": 1,
"globalIndex": 27906326,
"creationHeight": 972233,
"settlementHeight": 972235,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 2\n3: 0\n4: 2\n5: 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)\n6: 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)\n7: 0\n8: Coll(1,55,-55,24,-126,-73,89,-83,70,-94,14,57,-86,77,3,92,-29,37,37,-36,118,-48,33,-18,100,62,113,-48,-108,70,64,15)\n9: 0\n10: 1\n11: 2\n12: Coll(-82,-67,-98,-34,1,92,-60,49,47,93,-81,-71,-118,22,-127,27,3,89,-64,-83,8,59,43,92,6,-95,-16,68,71,-114,-101,-94)\n13: 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)\n14: 1\n15: 0\n16: 0\n17: 1\n18: 6\n19: 38\n20: 0\n21: 1\n22: 33\n23: 0\n24: 0\n25: 1\n26: 1\n27: 3\n28: 3\n29: 4\n30: 0\n31: 1\n32: 33\n33: 1000000\n34: 1\n35: 1\n36: 0\n37: 1\n38: 1\n39: 1\n40: 3\n41: 3\n42: 1\n43: 1\n44: 1\n45: 0\n46: 9223372036854775807\n47: 0\n48: 1\n49: 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)\n50: 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)\n51: 2\n52: 2\n53: 0\n54: 1\n55: 33\n56: 0\n57: 0\n58: 4\n59: 0\n60: 1\n61: Coll(1,42,-20,-107,-81,36,-127,42,1,119,93,-32,-112,65,27,-89,10,100,-113,-24,89,1,63,-119,108,-94,-95,-87,88,-126,-50,95)\n62: 1\n63: 1\n64: 9\n65: 0\n66: 1\n67: 33\n68: 0\n69: 1\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 33\n76: false",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val box3 = coll1(placeholder[Int](1))\n val coll4 = SELF.tokens\n val tuple5 = coll4(placeholder[Int](2))\n val box6 = OUTPUTS(placeholder[Int](3))\n val coll7 = box6.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = getVar[Coll[Byte]](1.toByte).get\n val coll10 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), getVar[Coll[Byte]](0.toByte).get)\n val coll11 = tuple5._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8), box3.tokens(placeholder[Int](9))._1 == SELF.R4[\n Coll[Byte]\n ].get, if (tuple5._2 - placeholder[Long](10) == tuple8._2) {(\n val box12 = coll1(placeholder[Int](11))\n val coll13 = box3.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](12), placeholder[Coll[Byte]](13)), coll9)\n val box14 = OUTPUTS(placeholder[Int](14))\n val coll15 = box14.tokens\n val tuple16 = coll15(placeholder[Int](15))\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](16))._1 == coll13(placeholder[Int](17)).get.slice(placeholder[Int](18), placeholder[Int](19)), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll10(placeholder[Int](20)).get.slice(\n placeholder[Int](21), placeholder[Int](22)\n ), box6.value >= SELF.value, coll7(placeholder[Int](23)) == coll4(placeholder[Int](24)), coll7(placeholder[Int](25)) == coll4(\n placeholder[Int](26)\n ), tuple8._1 == coll11, coll7(placeholder[Int](27)) == coll4(placeholder[Int](28)), coll7.size == placeholder[Int](29)\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box14.propositionBytes) == coll13(placeholder[Int](30)).get.slice(\n placeholder[Int](31), placeholder[Int](32)\n ), box14.value == placeholder[Long](33), tuple16._1 == coll11, tuple16._2 == placeholder[Long](34)\n )\n ), box12.R4[AvlTree].get.get(coll15(placeholder[Int](35))._1, getVar[Coll[Byte]](2.toByte).get).get.size > placeholder[Int](36)\n )\n )\n )} else {(\n val tuple12 = coll4(placeholder[Int](37))\n val l13 = tuple12._2\n val tuple14 = coll7(placeholder[Int](38))\n val coll15 = tuple12._1\n if (l13 - placeholder[Long](39) == tuple14._2) {(\n val tuple16 = coll7(placeholder[Int](40))\n val tuple17 = coll4(placeholder[Int](41))\n val coll18 = tuple17._1\n val coll19 = INPUTS(placeholder[Int](42)).R5[Coll[Box]].get\n val coll20 = coll19.slice(placeholder[Int](43), coll19.size)\n val i21 = coll20.size\n val box22 = OUTPUTS(placeholder[Int](44))\n val box23 = coll19(placeholder[Int](45))\n val l24 = placeholder[Long](46) - l13\n val coll25 = box22.tokens\n val tuple26 = coll25(placeholder[Int](47))\n val tuple27 = coll25(placeholder[Int](48))\n val coll28 = box22.propositionBytes\n val coll29 = box23.propositionBytes\n val coll30 = box3.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](blake2b256(placeholder[Coll[Byte]](49).append(coll29))).append(\n coll20.map({(box30: Box) => blake2b256(placeholder[Coll[Byte]](50).append(box30.propositionBytes)) })\n ), coll9\n )\n val coll31 = OUTPUTS.slice(placeholder[Int](51), i21 + placeholder[Int](52))\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll10(placeholder[Int](53)).get.slice(\n placeholder[Int](54), placeholder[Int](55)\n ), box6.value >= SELF.value, coll7(placeholder[Int](56)) == coll4(\n placeholder[Int](57)\n ), tuple14._1 == coll15, tuple8 == tuple5, tuple16._1 == coll18, tuple16._2 == tuple17._2 - i21.toLong, coll7.size == placeholder[Int](58)\n )\n ), allOf(\n Coll[Boolean](\n box22.value >= box23.value, box22.R4[Coll[Int]].get(placeholder[Int](59)).toLong == l24, tuple26._1 == coll15, tuple26._2 == placeholder[\n Long\n ](60), tuple27._1 == placeholder[Coll[Byte]](61), tuple27._2 == byteArrayToLong(\n coll10(placeholder[Int](62)).get.slice(placeholder[Int](63), placeholder[Int](64))\n ), coll28 == coll29, blake2b256(coll28) == coll30(placeholder[Int](65)).get.slice(placeholder[Int](66), placeholder[Int](67))\n )\n ), coll31.indices.forall({(i32: Int) =>\n val box34 = coll31(i32)\n val tuple35 = box34.tokens(placeholder[Int](68))\n val coll36 = box34.R4[Coll[Long]].get\n allOf(Coll[Boolean](box34.value >= coll20(i32).value, tuple35._1 == coll18, tuple35._2 == placeholder[Long](69), coll36(placeholder[Int](70)) == l24, coll36(placeholder[Int](71)) >= placeholder[Long](72), blake2b256(box34.propositionBytes) == coll30(i32 + placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75))))\n })\n )\n )\n )} else { placeholder[Boolean](76) }\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "011a3f1627ee8005340841b0161ae36aedb99c6287097722f6fe18b510c17e5e",
"index": 0,
"amount": 1,
"name": "PaideiaAlpha DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "010b4858ce0425ed4748d0d3a59f2dbf874166a2caaf734655ac5e3f88a68cdd",
"index": 1,
"amount": 9223372036854776000,
"name": "PaideiaAlpha Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b92b69b2914e3dae0f968375ef9676dd89da427c9bd960b24acbbea16c4bc5",
"index": 2,
"amount": 9223372036854776000,
"name": "PaideiaAlpha Vote",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00b44a84993674c57c4fc23c6c1bb221470463e4e711b2260ffd8ed01f1aab42",
"index": 3,
"amount": 9223372036854776000,
"name": "PaideiaAlpha Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e200137c91882b759ad46a20e39aa4d035ce32525dc76d021ee643e71d09446400f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0137c91882b759ad46a20e39aa4d035ce32525dc76d021ee643e71d09446400f"
}
},
"spentTransactionId": "178397231fb1b3cb07dad7129103e5ebf832fd0b52088affa11e6a550ce75653",
"mainChain": true
},
{
"boxId": "41c9d527ba797e1c2f203ab8cf4697354db68365b1fb7076c009ef7cc2318b23",
"transactionId": "5269247d007c9db083d7c368f89325915fa6ade30402205908d33a3bc04c6a94",
"blockId": "785f16991e8b801c0bd00d2d33f5fad2ef5633779b515fa830d81647db48dfbd",
"value": 1000000,
"index": 2,
"globalIndex": 27906327,
"creationHeight": 972233,
"settlementHeight": 972235,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e2000b44a84993674c57c4fc23c6c1bb221470463e4e711b2260ffd8ed01f1aab420100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"ergoTreeConstants": "0: 0\n1: Coll(-87,85,-114,65,-122,-53,-43,-86,87,35,-88,82,-44,-63,-36,101,125,-98,-127,67,-126,-1,-120,-115,90,-118,-20,82,21,49,48,29)\n2: 0\n3: 1\n4: 33\n5: 0\n6: 0\n7: Coll(0,-76,74,-124,-103,54,116,-59,124,79,-62,60,108,27,-78,33,71,4,99,-28,-25,17,-78,38,15,-3,-114,-48,31,26,-85,66)\n8: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.tokens == box1.tokens, SELF.value <= box1.value, blake2b256(box1.propositionBytes) == box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1)), getVar[Coll[Byte]](0.toByte).get\n )(placeholder[Int](2)).get.slice(placeholder[Int](3), placeholder[Int](4)), INPUTS.exists({(box2: Box) =>\n val coll4 = box2.tokens\n if (coll4.size > placeholder[Int](5)) { coll4(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7) } else { placeholder[Boolean](8) }\n })\n )\n )\n )\n}",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCxw59UhLdaDK4PZaQesVrvc6gsvXWqr4iDQTFpsVM9Jrw7gCRZwk5Y2BJHoYuPWdGqHJfFsQrpa5dedXz1kXDR7ojGmN5JGmNF1Tj6cXdWdhnkEyzytShfP6kNeLssQ5va1N5Qo5U4qKvU9Jw7RTU8jCYZ6RRby6z3TwxKGN8VA29m5fHZNaVuwwxVK",
"assets": [
{
"tokenId": "0137c91882b759ad46a20e39aa4d035ce32525dc76d021ee643e71d09446400f",
"index": 0,
"amount": 1,
"name": "PaideiaAlpha DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "64ea50861a6af284a10217c88b26e5f20c476bea1f03c399498871eb29d3ba2b5207072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "0d9753ffd979a45a561090a88ae2ece69b5044e54579d18bf801d982d9866d95",
"transactionId": "5269247d007c9db083d7c368f89325915fa6ade30402205908d33a3bc04c6a94",
"blockId": "785f16991e8b801c0bd00d2d33f5fad2ef5633779b515fa830d81647db48dfbd",
"value": 2000000,
"index": 3,
"globalIndex": 27906328,
"creationHeight": 972233,
"settlementHeight": 972235,
"ergoTree": 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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n3: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n4: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n5: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n6: Coll(-25,-6,33,-9,44,66,-82,28,61,83,-76,42,-109,-105,5,-47,29,55,-22,-30,-19,-55,50,-11,-18,-108,90,14,100,-21,86,-31)\n7: Coll(8,71,-125,65,-34,-120,-6,-107,-30,-125,50,36,-84,-119,121,-10,88,-62,114,-121,18,103,-26,32,-43,-63,-42,-98,56,-4,-12,89)\n8: 0\n9: 1\n10: 1\n11: 3\n12: 0\n13: 6\n14: 37\n15: 6\n16: 37\n17: 5\n18: 6\n19: 37\n20: 1\n21: 3\n22: 2\n23: 0\n24: 2\n25: 0\n26: 1\n27: 2\n28: 1\n29: 1\n30: 9\n31: 3\n32: 0\n33: 0\n34: 0\n35: Coll(1,55,-55,24,-126,-73,89,-83,70,-94,14,57,-86,77,3,92,-29,37,37,-36,118,-48,33,-18,100,62,113,-48,-108,70,64,15)\n36: 0\n37: 5\n38: 5\n39: 1\n40: 33\n41: 0\n42: 0\n43: 1\n44: 0\n45: 0\n46: 8\n47: 8\n48: 0\n49: 1\n50: 2\n51: 1\n52: 1\n53: 0\n54: true\n55: 1\n56: 8\n57: 8\n58: 8\n59: 8\n60: 0\n61: 0\n62: 1\n63: 0\n64: 2\n65: 1\n66: 0\n67: 1\n68: 1\n69: 2\n70: -3\n71: 2\n72: 0\n73: true\n74: 2\n75: 0\n76: 8\n77: 8\n78: 0\n79: 1\n80: 0\n81: 2\n82: 1\n83: 0\n84: -3\n85: 2\n86: true\n87: 3\n88: 1\n89: 0\n90: 1\n91: 1\n92: 1\n93: 1\n94: 1\n95: 0\n96: 0\n97: 1\n98: 9\n99: 0\n100: 78\n101: -58\n102: 31\n103: 72\n104: 91\n105: -104\n106: -21\n107: -121\n108: 21\n109: 63\n110: 124\n111: 87\n112: -37\n113: 79\n114: 94\n115: -51\n116: 117\n117: 85\n118: 111\n119: -35\n120: -68\n121: 64\n122: 59\n123: 65\n124: -84\n125: -8\n126: 68\n127: 31\n128: -34\n129: -114\n130: 22\n131: 9\n132: 0\n133: 0\n134: 1\n135: 0\n136: 1\n137: 0\n138: 0\n139: 2\n140: 1\n141: 9\n142: true\n143: 4\n144: 8\n145: 8\n146: -1\n147: 8\n148: 8\n149: 0\n150: 0\n151: 8\n152: 8\n153: 0\n154: true\n155: 0\n156: 0\n157: 0\n158: 0\n159: 0\n160: 0\n161: 0\n162: 0\n163: 2\n164: 0\n165: 0\n166: 8\n167: 0\n168: true\n169: 5\n170: 0\n171: 1\n172: 1\n173: 0\n174: 0\n175: 0\n176: 2\n177: -1\n178: 2\n179: 0\n180: 0\n181: -3\n182: 0\n183: 2\n184: 0\n185: true",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val b2 = getVar[Byte](1.toByte).get\n val i3 = b2.toInt\n val box4 = OUTPUTS(placeholder[Int](1))\n val coll5 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n Coll[Byte]\n ](7)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val coll6 = box4.tokens\n val tuple7 = coll6(placeholder[Int](8))\n val coll8 = SELF.tokens\n val tuple9 = coll6(placeholder[Int](9))\n val tuple10 = coll8(placeholder[Int](10))\n val coll11 = SELF.R5[Coll[Long]].get\n val i12 = coll11.size\n val coll13 = coll5(placeholder[Int](11)).get\n val coll14 = coll13.slice(placeholder[Int](12), coll13.size - placeholder[Int](13) / placeholder[Int](14)).indices\n val coll15 = coll14.map(\n {(i15: Int) =>\n coll13.slice(\n placeholder[Int](15) + placeholder[Int](16) * i15 + placeholder[Int](17), placeholder[Int](18) + placeholder[Int](19) * i15 + placeholder[Int](20)\n )\n }\n )\n val coll16 = coll11.slice(placeholder[Int](21), i12).append(\n coll15.slice(i12 - placeholder[Int](22), coll14.size).map({(coll16: Coll[Byte]) => placeholder[Long](23) })\n )\n val coll17 = coll16.indices\n val l18 = tuple9._2\n val l19 = tuple10._2\n val coll20 = box4.R5[Coll[Long]].get\n val l21 = coll11(placeholder[Int](24))\n val avlTree22 = SELF.R4[AvlTree].get\n val coll23 = getVar[Coll[(Coll[Byte], Coll[Byte])]](2.toByte).get\n val tuple24 = coll23(placeholder[Int](25))\n val coll25 = tuple24._1\n val coll26 = getVar[Coll[Byte]](3.toByte).get\n val l27 = l18 - l19\n val coll28 = box4.R4[AvlTree].get.digest\n val bool29 = coll23.size == placeholder[Int](26)\n val l30 = SELF.value\n val l31 = box4.value\n val i32 = coll8.size\n val coll33 = coll8.slice(placeholder[Int](27), i32)\n val coll34 = SELF.R7[Coll[AvlTree]].get\n val i35 = byteArrayToLong(coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))).toInt\n val coll36 = SELF.R6[Coll[Long]].get\n val coll37 = coll20.slice(placeholder[Int](31), coll20.size)\n val l38 = coll11(placeholder[Int](32))\n val avlTree39 = coll34(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](34))._1 == placeholder[Coll[Byte]](35), (i3 >= placeholder[Int](36)) && (i3 <= placeholder[Int](37)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40)), tuple7 == coll8(\n placeholder[Int](41)\n ), tuple9._1 == tuple10._1\n )\n ), if (b2 == placeholder[Byte](42)) {(\n val coll40 = SELF.id\n val tuple41 = OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))\n val coll42 = getVar[Coll[(Coll[Byte], Coll[Byte])]](2.toByte).get\n val tuple43 = coll42(placeholder[Int](45))\n val coll44 = coll17.map({(i44: Int) =>\n val i46 = i44 * placeholder[Int](46)\n byteArrayToLong(tuple43._2.slice(i46, i46 + placeholder[Int](47)))\n })\n val l45 = coll44(placeholder[Int](48))\n allOf(\n Coll[Boolean](\n (coll40 == tuple41._1) && (coll40 == tuple43._1), tuple41._2 == placeholder[Long](49), (l45 == l18 - l19) && (\n l45 == coll20(placeholder[Int](50)) - l21\n ), coll42.size == placeholder[Int](51), avlTree22.insert(coll42, getVar[Coll[Byte]](3.toByte).get).get.digest == box4.R4[\n AvlTree\n ].get.digest, coll44.slice(placeholder[Int](52), coll17.size).forall({(l46: Long) => l46 == placeholder[Long](53) })\n )\n )\n )} else { placeholder[Boolean](54) }, if (b2 == placeholder[Byte](55)) {(\n val coll40 = coll17.map({(i40: Int) =>\n val i42 = i40 * placeholder[Int](56)\n byteArrayToLong(tuple24._2.slice(i42, i42 + placeholder[Int](57)))\n })\n val coll41 = coll17.map({(i41: Int) =>\n val i43 = i41 * placeholder[Int](58)\n byteArrayToLong(avlTree22.get(coll25, coll26).get.slice(i43, i43 + placeholder[Int](59)))\n })\n val l42 = coll40(placeholder[Int](60)) - coll41(placeholder[Int](61))\n val coll43 = coll41.zip(coll40)\n allOf(\n Coll[Boolean](\n OUTPUTS(placeholder[Int](62)).tokens.getOrElse(placeholder[Int](63), tuple7)._1 == coll25, (l42 == l27) && (\n l42 == coll20(placeholder[Int](64)) - l21\n ), bool29, avlTree22.update(coll23, coll26).get.digest == coll28, coll43.slice(placeholder[Int](65), coll43.size).forall(\n {(tuple44: (Long, Long)) =>\n val l46 = tuple44._2\n (tuple44._1 >= l46) && (l46 >= placeholder[Long](66))\n }\n ), coll41(placeholder[Int](67)) - coll40(placeholder[Int](68)) == SELF.value - box4.value, coll8.slice(placeholder[Int](69), coll8.size).forall(\n {(tuple44: (Coll[Byte], Long)) =>\n val coll46 = tuple44._1\n val i47 = coll15.indexOf(coll46, placeholder[Int](70)) + placeholder[Int](71)\n tuple44._2 - coll6.fold(placeholder[Long](72), {(tuple48: (Long, (Coll[Byte], Long))) =>\n val tuple50 = tuple48._2\n val l51 = tuple48._1\n if (tuple50._1 == coll46) { l51 + tuple50._2 } else { l51 }\n }) == coll41(i47) - coll40(i47)\n }\n )\n )\n )\n )} else { placeholder[Boolean](73) }, if (b2 == placeholder[Byte](74)) {(\n val coll40 = coll23.map({(tuple40: (Coll[Byte], Coll[Byte])) => tuple40._1 })\n val coll41 = coll40(placeholder[Int](75))\n val coll42 = coll17.map({(i42: Int) =>\n val i44 = i42 * placeholder[Int](76)\n byteArrayToLong(avlTree22.get(coll41, coll26).get.slice(i44, i44 + placeholder[Int](77)))\n })\n val l43 = coll42(placeholder[Int](78))\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](79)).tokens(placeholder[Int](80))._1 == coll41, (l43 == l19 - l18) && (l43 == l21 - coll20(placeholder[Int](81))), coll42(\n placeholder[Int](82)\n ) == l30 - l31, coll33.forall({(tuple44: (Coll[Byte], Long)) =>\n val coll46 = tuple44._1\n tuple44._2 - coll6.fold(placeholder[Long](83), {(tuple47: (Long, (Coll[Byte], Long))) =>\n val tuple49 = tuple47._2\n val l50 = tuple47._1\n if (tuple49._1 == coll46) { l50 + tuple49._2 } else { l50 }\n }) == coll42(coll15.indexOf(coll46, placeholder[Int](84)) + placeholder[Int](85))\n }), bool29, avlTree22.remove(coll40, getVar[Coll[Byte]](4.toByte).get).get.digest == coll28\n )\n )\n )} else { placeholder[Boolean](86) }, if (b2 == placeholder[Byte](87)) {(\n val coll40 = box4.R6[Coll[Long]].get\n val i41 = coll40.size\n val coll42 = box4.R7[Coll[AvlTree]].get\n val i43 = coll42.size\n val coll44 = box4.R8[Coll[Coll[Long]]].get\n val i45 = coll44.size\n val coll46 = coll44(i45 - placeholder[Int](88))\n val l47 = coll16(placeholder[Int](89))\n val i48 = i35 - placeholder[Int](90)\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n coll40(i41 - placeholder[Int](91)) == l21, coll42(i43 - placeholder[Int](92)).digest == avlTree22.digest, coll46.slice(\n placeholder[Int](93), coll16.size\n ).indices.forall({(i49: Int) =>\n val i51 = i49 + placeholder[Int](94)\n coll46(i51) == coll16(i51)\n }), coll46(placeholder[Int](95)) == l47 + min(\n byteArrayToLong(coll5(placeholder[Int](96)).get.slice(placeholder[Int](97), placeholder[Int](98))), l19 - l21 - l47\n )\n )\n ), allOf(\n Coll[Boolean](\n coll34(placeholder[Int](99)).digest == Coll[Int](\n placeholder[Int](100), placeholder[Int](101), placeholder[Int](102), placeholder[Int](103), placeholder[Int](104), placeholder[Int](\n 105\n ), placeholder[Int](106), placeholder[Int](107), placeholder[Int](108), placeholder[Int](109), placeholder[Int](110), placeholder[Int](\n 111\n ), placeholder[Int](112), placeholder[Int](113), placeholder[Int](114), placeholder[Int](115), placeholder[Int](116), placeholder[Int](\n 117\n ), placeholder[Int](118), placeholder[Int](119), placeholder[Int](120), placeholder[Int](121), placeholder[Int](122), placeholder[Int](\n 123\n ), placeholder[Int](124), placeholder[Int](125), placeholder[Int](126), placeholder[Int](127), placeholder[Int](128), placeholder[Int](\n 129\n ), placeholder[Int](130), placeholder[Int](131), placeholder[Int](132)\n ).map({(i49: Int) => i49.toByte }), coll42.slice(placeholder[Int](133), i48) == coll34.slice(placeholder[Int](134), i35), coll40.slice(\n placeholder[Int](135), i48\n ).indices.forall({(i49: Int) => coll40(i49) == coll36(i49 + placeholder[Int](136)) })\n )\n ), ((i43 == i35) && (i41 == i35)) && (i45 == i35), coll37.forall({(l49: Long) => l49 == placeholder[Long](137) }), coll20(\n placeholder[Int](138)\n ) == l38 + byteArrayToLong(\n coll5(placeholder[Int](139)).get.slice(placeholder[Int](140), placeholder[Int](141))\n ), l38 <= CONTEXT.preHeader.timestamp\n )\n )\n )} else { placeholder[Boolean](142) }, if (b2 == placeholder[Byte](143)) {(\n val coll40 = coll23.map({(tuple40: (Coll[Byte], Coll[Byte])) => tuple40._1 })\n val coll41 = coll40.indices\n val coll42 = avlTree22.getMany(coll40, coll26).map({(opt42: Option[Coll[Byte]]) => if (opt42.isDefined) { coll17.map({(i44: Int) =>\n val i46 = i44 * placeholder[Int](144)\n byteArrayToLong(opt42.get.slice(i46, i46 + placeholder[Int](145)))\n }) } else { coll16.map({(l44: Long) => placeholder[Long](146) }) } })\n val coll43 = avlTree39.getMany(coll40, getVar[Coll[Byte]](4.toByte).get).map({(opt43: Option[Coll[Byte]]) => coll17.map({(i45: Int) =>\n val i47 = i45 * placeholder[Int](147)\n byteArrayToLong(opt43.get.slice(i47, i47 + placeholder[Int](148)))\n }) })\n val l44 = coll36(placeholder[Int](149))\n val coll45 = SELF.R8[Coll[Coll[Long]]].get(placeholder[Int](150))\n val coll46 = coll23.map({(tuple46: (Coll[Byte], Coll[Byte])) => coll17.map({(i48: Int) =>\n val i50 = i48 * placeholder[Int](151)\n byteArrayToLong(tuple46._2.slice(i50, i50 + placeholder[Int](152)))\n }) })\n val tuple47 = (coll45.map({(l47: Long) => placeholder[Long](153) }), placeholder[Boolean](154))\n allOf(Coll[Boolean](allOf(coll41.map({(i48: Int) =>\n val coll50 = coll42(i48)\n if (coll50(placeholder[Int](155)) >= placeholder[Long](156)) {(\n val coll51 = coll45.map({(l51: Long) => coll43(i48)(placeholder[Int](157)) * l51 / l44 })\n (coll51, coll50.zip(coll51).map({(tuple52: (Long, Long)) => tuple52._1 + tuple52._2 }) == coll46(i48))\n )} else { tuple47 }._2\n })), l21 + coll41.map({(i48: Int) =>\n val coll50 = coll42(i48)\n if (coll50(placeholder[Int](158)) >= placeholder[Long](159)) {(\n val coll51 = coll45.map({(l51: Long) => coll43(i48)(placeholder[Int](160)) * l51 / l44 })\n (coll51, coll50.zip(coll51).map({(tuple52: (Long, Long)) => tuple52._1 + tuple52._2 }) == coll46(i48))\n )} else { tuple47 }\n }).fold(placeholder[Long](161), {(tuple48: (Long, (Coll[Long], Boolean))) => tuple48._1 + tuple48._2._1(placeholder[Int](162)) }) == coll20(placeholder[Int](163)), avlTree39.remove(coll40, getVar[Coll[Byte]](5.toByte).get).get.digest == box4.R7[Coll[AvlTree]].get(placeholder[Int](164)).digest, avlTree22.update(coll23.filter({(tuple48: (Coll[Byte], Coll[Byte])) => byteArrayToLong(tuple48._2.slice(placeholder[Int](165), placeholder[Int](166))) > placeholder[Long](167) }), coll26).get.digest == coll28))\n )} else { placeholder[Boolean](168) }, if (b2 == placeholder[Byte](169)) {(\n val l40 = l31 - l30\n val i41 = coll6.size\n allOf(\n Coll[Boolean](\n (l40 >= placeholder[Long](170)) && (coll37(placeholder[Int](171)) - coll16(placeholder[Int](172)) == l40), (l27 >= placeholder[Long](173)) && (\n coll37(placeholder[Int](174)) - coll16(placeholder[Int](175)) == l27\n ), coll33.zip(coll6.slice(placeholder[Int](176), i32)).forall({(tuple42: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple44 = tuple42._1\n val coll45 = tuple44._1\n val tuple46 = tuple42._2\n val i47 = coll15.indexOf(coll45, placeholder[Int](177))\n val l48 = tuple46._2 - tuple44._2\n val i49 = i47 + placeholder[Int](178)\n allOf(Coll[Boolean](coll45 == tuple46._1, i47 >= placeholder[Int](179), l48 == coll37(i49) - coll16(i49), l48 >= placeholder[Long](180)))\n }), coll6.slice(i32, i41).forall({(tuple42: (Coll[Byte], Long)) =>\n val i44 = coll15.indexOf(tuple42._1, placeholder[Int](181))\n val l45 = tuple42._2\n allOf(Coll[Boolean](i44 >= placeholder[Int](182), l45 == coll37(i44 + placeholder[Int](183)), l45 >= placeholder[Long](184)))\n }), i41 >= i32\n )\n )\n )} else { placeholder[Boolean](185) }\n )\n )\n )\n}",
"address": "2hsjQGdtXgBQ6FheQ7rGPNFQrL4A7eMY7SqiUQDsSy58geFCGY9gN3hLD2oXoLv9vGjAtoAcaPoVHcfn7kE2LvY2CZXqtQeVyAh32Hrd2TxEySue3YxzehwZTfhn71XRd17tJJyywjRX8ERSt8KsLkRSRhbu476oAGM1qUCwWL9K44YUUMgefTAACDNnpt3ptmFF2r7m7YGx1CG3PEYU6T6yg768TafCqsGHLGZjCEfQJetQmGa4bWri9B8UtdoVZ4efSLB2aRDRh6PnLBkxt3eu17fRwTDje6PyGeiEji93BLUksXbkr1mrTsvi9rbmCLBVFjkP3kbVSYLuKwGvzkfwFfwvonpcNJk8UphNWPFYugEB7BG9bdgAPE6w4Y6HP6HeZsitM3Ch3ohzTPSSY7cdXwtVoofRt4amphTfjEH2TyCPqPJhL5bjCPzavku5qC53QnnaBgAzV3HLnryBxC6RAqfCvHhSJmr3F8iHnBRWd9Kgk9Ay1fgzu5Mphk5nL3wUXKvdugbCeZ6xiuHbjRQnXjFfjnQouUnjQ678Ln4iqj5avjoDo6rYYTGVysfToeAuQGjwAzhaSAh9gd6EULePrhWR6jTdUf6s7uJi2BxPus7qA5QfK5XhNpAsHdXZoBfYUBSUSc2icn3mkNLuG9qYcSBP4Dh5hQK8iGhHFAThsPRd649EF7C9RB7vdDcoX8Y4QC7K5JCzq2annNcF1W6hATube3RyCRCsD73SNkAvthj6oarCTzZuDBzn3cfcYQmM5Pu3TVx2JQKcDH39bR3BBDcNYRQ7dgEEbWoqxiAQqqTcLiuvUhBaY1wtdB67CLcvYTLFvBEudaejqqTXgivjwagYnyB7xbZ1tZbvSgDFr3qTHv5nsKvHsYD8gn2VfP1YUyYA9HXX2wGuBWyzp3R9EVwaCHqbGTBGDKzXryKEwXv2h5aiigz1MGA1bAiDvb2Hooh9UeHXpugwYucsydTEQ2EcGPSJEp5rG8SutBtC6jXynwnmFYrByvcNsc4GULpBSRAJZ3e3VhKCyvbEdG1ZfHYHuN723oftC936CqWDZH95WGwVQ2DBEdt7UHuTXw62F3EmsbC1mry2qbrHdHUVZw2fCGwqWmmBDs3gHdwwbWMj2WyV1YUoum4jQEz7hNym2yxFqMtMVYXAKAKeU2JfgxsukLZgZrifCHEYTdhiAtg7cF2bbHBbtgJKtsVYtk4CZwoYunoYGAJXyhLny1Y8RwWBAs49JBgzK9h69V8yudh837xhwUYNaUVZQ2kupavGd5xdBEEviqX2m1LHnbcDVhhBMpyMQQrPG2d44f7XjsqTtFravWo31tZ72vR1FHjaTLCwkRD7ZuY3HYxBqN1ABAXKTqyYySZwbauovYh9T4n4kDqzGSdicYEGUirJunnhe852ZrecZaF7REBo32UzxnHUuA2ErRYbto5DfZwEL328KybZcbhHRCPSKw5a1j3egvipsTmbK6X87mYkvWeTJeX8pmCTQRChK6E4KZKDNHG25oTH9xeQqkMMnf9r1QQQVBH7ABvdntW7RGSb1XewTGZwDCxFWdBR9iuzECiugdU1pdF2FhgfeJN3PT7pkTBcksoB3pvjurzjLmwG9EHd6uFaUQmkpHtrp8CEYjLjsVmjMY1Zbry92kWjCsdStUn5Qm4wKJ9NapLLcQDXKTSs1fDaj23AZ4vJgwX18pJNchtfpE5bYSc6VqsUJstweM5Re4L6paqg2Nbb1mYdKopqFKaS6Fa9dLctwei3qekuYGS3KgTqGjJfeQivdD5NM8QnidxkpkMFGgJB8WJYAYQcA2coP8V6et4M9mAUNqcqcmeuqsbuLjGor18SmS4QvftWQaZqkpfjsGAHCym6tyXxgEFAgsF8pUj2DMotRZWW6zE9E9LqUtAP2gAQSbm84NSGG6jESDXK6KmuzgP3ybaS1GJWuHDSkboGZuEndBc9iNMdcGtZS7mYUefYYcYQdjr3DzfjLsjkr77mRx8ckipndjMeFrSFvugFpDjHbv236x41cfTtMjpwoSAU72g3La7RgoxDnB6KppFLdbT9NYE8EweyW8Nxm9PGKouyCTZxizmuLTUCKZqxjPkwaAVTeS4AEZsMn7xqQDgNhGSJdfJW1ANyJxs1AanLcZGTCXWWC6tpxrsBNShs4VTbDtjXMCqELFiLtofvArGvTxLAmg5QahqHpU4e5yNFZGLsB7YJX9nt2AZcbtb4AtxvCQ3i328SHJ2k6FqGS72XAtxg8HVe7Spr9hXuCmv9dL3ouTic5Ct7ZpyNpeFnXXBtCSMYvk24oMMYUYmWbgKcT8tPVcRsUcb2wwBQ8sKYeSqtQUyM7M38shz9H8k4XnCJtM4Eq9zGfUj6MAL9yrvz4R2eyJBhSnDScjM7JaUQuoNrgkJRUw5tyenoAUteANxYELFY47aD9U1AXyYs6gRZFfrk8XQ4T1AJy1znoGHwqJXH3H2fhEEJCzE2yLpq67ZFD2V2iLsosWEjjdoC26HNiZkvdvr8Hgjfh12pKZRZkLcFUEEGe4Z1KQKaqEF2oCv6RGWk2n23H7YuFPetGqbEHiXn639BncZpkbBjuteHTGuHoa6sDhRbGMzjCaxvcCQzLc8nC2U7oCET3gHLtJCk8jAX3hh2XrWYfUhAgQhSBtVrnHgQxWWmWxPMeAjRpMuLUoF2ka5TEMc8Z4miQ27kTgoomrgbNDMmw54KfjHSxcjrwmLKmcMLjpTE4xtSVUbx4oZYgtpo3YMNhX87Zizeo53KHjqiuoTJC7Wpepb5r4w5SmXUfzdKqVjcvYLbY1Lbjet2CbbPQeeL1ATndK6J11imKDUf6XYSg1coqZKq9VmFsTA5AYnGHQRt8vSQaQdmAbauJWNpKRxbFwQQgXc8kNDHp6xAaMdTxS2aKTTqpbVZtAZDBPmzPrKvTLeAH5WZnNrktChyivjPYQJkGpB65xx2v7GVgQgUSEos5ctdGiHPBfeFrs9zXHbahEP2wJ9CjNa4SFVrSRVWenBPDDKBWjUpeJei1a1WE3gkCLFCHJJmSP5UKMWvUnBWQyyRswqne1BQzhiR1YDZppdus3zUzSL3BFJ7z2brNeXMNRHMuBrrZKjF5ztxkAsxjrZDejH7WC6F1gMjd7nPpsK3dnkDwkJnurpYQ3dmGFmSgbXDcyybvfSTFPoq14uU5GkgVLJU9RMTGuijp21oX85Kn1GVt946C3X7wXpxFGz2QujpMZTkdm4g59h4CLNtHZyiCJLRMqFBJbdSt1JEoEoRjS7PKng2L7raqNgkQ6LphDKRWbaoQ3gp2T13nkbDNN9p8EPGTx3qZ9hEgC7sYxfLkyWKcPGNkSdRY3LJKAgiSfjqmogdVVRxjpjf69gob8zPb5GwHor71WvsFJNhj9iMLHmVZUg89m8ToV2FUoaNvb4a2pRuzWsvt8FwywT8ty8cNxMFu2u28LYQA3ohrcQ9sVss2QyVCPM6KWCUEy1x6eFktfKVfakJLVcKncpBh2nDrPktLAGYmvgGUDW6z7eZ7qyMGk1k38GLSsd5No9sCB1WTRCk6Wzb3Q7VDYohH9DArr5Mdmprpy3DoAXije9EfQMHaM2TvVqH37yjuxgzftTuCsR1bmm624cBoWot2hCJW1cH7SVBWKELgiYpFUKhDBfbjzseM2urdGqknakfJhpMyYtZydRn3WPGj5RPkrLazz386f4nZywhjDvufBUPkJHLWaQZ3ZYs3rVXm2egidyQDngY1mzCXAFGPxMPa99KzVPnDgQbcvtXJAXUZqXt5wdujBQd9WFN1vNU6eoeGyTUJcZd9FRVZWdryFGypiH3dqiiq8XxRFFQm7CYLKd3MwTwosWjiq7GzbsuqcM7xgmbvw7XQqVeKPSqoKpaw2r7jH7jS94AVTCaK2CsTdQ9bqb8s5oQwcDXPTwE1kNjGVF8WKWiQwuHQ19BAe6fQSfhuw5UPHYd82C9MV591zZVJTHVCHi7cB7gjjKwDvZEfbnQ4ccUxZSc1Lz8PnhCuZLd5zNR2UVqxitg7XpbxcDa58L9qPXAdtKVgbn8fwohVAWhcdAjH6qH6Ce",
"assets": [
{
"tokenId": "011740cc8daf203f5d60127a0e9ef1328c8c2540d7c9d78d0416fae0571c8d7d",
"index": 0,
"amount": 1,
"name": "PaideiaAlpha Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "012aec95af24812a01775de090411ba70a648fe859013f896ca2a1a95882ce5f",
"index": 1,
"amount": 400000000001,
"name": "PaideiaAlpha",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110580dcd8dae56100000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1680098400000,0,0,0,0]"
},
"R6": {
"serializedValue": "110400000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,0]"
},
"R8": {
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"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[0,0]]"
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"R7": {
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"sigmaType": null,
"renderedValue": null
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"R4": {
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"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "1a15edb4e5d99bdc7769559288a046f898d90979d44509debf231640a516af83",
"mainChain": true
},
{
"boxId": "77581e44fe157443cfc99d259abd3ce25f790201c9ed50c8fcf2aeb3888ff108",
"transactionId": "5269247d007c9db083d7c368f89325915fa6ade30402205908d33a3bc04c6a94",
"blockId": "785f16991e8b801c0bd00d2d33f5fad2ef5633779b515fa830d81647db48dfbd",
"value": 1000000,
"index": 4,
"globalIndex": 27906329,
"creationHeight": 972233,
"settlementHeight": 972235,
"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": "fc63436ebf77f644a0b0841335b3026ad39aac6eafbbd67ee98a52bd395ebfa7",
"mainChain": true
},
{
"boxId": "b103159beb53aff68950bd0a8f9937c841be6bcd664c9a2719e249fec153df76",
"transactionId": "5269247d007c9db083d7c368f89325915fa6ade30402205908d33a3bc04c6a94",
"blockId": "785f16991e8b801c0bd00d2d33f5fad2ef5633779b515fa830d81647db48dfbd",
"value": 108561560,
"index": 5,
"globalIndex": 27906330,
"creationHeight": 972233,
"settlementHeight": 972235,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
"tokenId": "012aec95af24812a01775de090411ba70a648fe859013f896ca2a1a95882ce5f",
"index": 0,
"amount": 1599998998999,
"name": "PaideiaAlpha",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1beeb60c62f7c817ec9c2672a3164cb49c1a809e5816f67be69ebde4867c1641",
"mainChain": true
}
],
"size": 6692,
"isUnconfirmed": false
}