Transaction
ID: 1a3d1572ea...91c3
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.116 ERG
Tokens:
10,000
100,000.00
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.013 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:
0.101 ERG
Tokens:
10,000
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
Transaction Details
Confirmations: 589,702
Total coins transferred: 0.117 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000213 ERG
Raw Transaction Data
{
"id": "1a3d1572ea60720fc6fcdcd9a39a2b5196e4022f50e1a726d03c02bc95db91c3",
"blockId": "2084f3ae6469909110bc49253bafe06ec1ef7e285c36932bd0855509c884283b",
"inclusionHeight": 1170748,
"timestamp": 1704375952091,
"index": 10,
"globalIndex": 6405251,
"numConfirmations": 589702,
"inputs": [
{
"boxId": "af186fef470175989b9c921d0f8cd18629e62e9539908165c2ef841c8242e9b5",
"value": 116000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "13ce9b84ddf96ef9a777a61e4445b6b5a11f9a9107556c42b5a1c5ad4f8b31f1",
"outputTransactionId": "24218629a5a90f3ae829b4981d528a8bd8d6906380721ac19a0256ba491b1165",
"outputIndex": 0,
"outputGlobalIndex": 35770419,
"outputCreatedAt": 1170745,
"outputSettledAt": 1170747,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: 1000000\n3: 30\n4: 0\n5: 0\n6: 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)\n7: Coll(-123,-126,49,25,-14,96,-57,-69,-17,91,10,69,78,-79,-26,67,-22,98,-63,27,-91,75,108,40,114,-14,68,-44,66,-3,57,127)\n8: 0\n9: 1\n10: 1\n11: 3\n12: 0\n13: 0\n14: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n15: Coll(78,-58,31,72,91,-104,-21,-121,21,63,124,87,-37,79,94,-51,117,85,111,-35,-68,64,59,65,-84,-8,68,31,-34,-114,22,9,0)\n16: 0\n17: 1\n18: 33\n19: Coll(37,-75,-102,116,0,-35,-76,-39,37,58,20,83,113,-73,-52,-114,-40,97,99,-40,-2,-87,44,-43,112,-116,-122,18,-13,-42,-109,-81)\n20: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\n21: Coll(-54,11,-75,-24,-54,-41,24,34,92,-113,45,2,97,-96,-48,-107,-14,93,94,-121,70,10,-122,51,-12,0,-36,60,-55,7,-111,47)\n22: 10\n23: 0\n24: 0\n25: 0\n26: 0\n27: 32\n28: Coll(38,14,88,-72,79,-98,0,-66,90,127,-91,18,7,50,-113,-85,-41,16,-114,-101,-22,5,101,122,-70,-92,93,1,52,-97,-62,101)\n29: 2\n30: 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)\n31: 3\n32: 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)\n33: 4\n34: 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)\n35: 5\n36: 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)\n37: 6\n38: 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)\n39: 7\n40: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n41: 8\n42: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n43: 9\n44: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n45: 10\n46: Coll(-9,-4,55,-34,3,-16,24,93,-14,-63,-57,-57,-69,92,6,79,48,-46,18,-3,91,107,65,-91,-81,-28,88,12,119,87,3,121)\n47: 11\n48: Coll(94,-3,-61,-19,-105,38,-124,-53,33,-113,-80,-125,116,67,-6,60,-78,66,-46,60,-77,75,42,30,65,17,102,36,37,89,42,-112)\n49: 12\n50: Coll(-126,12,-72,9,-53,-3,-77,57,-80,-46,29,-67,120,104,120,-123,74,-89,26,-111,-61,111,121,-74,17,-22,107,-52,-51,75,68,-55)\n51: 13\n52: 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)\n53: 14\n54: Coll(115,-85,38,-94,-77,88,99,61,-14,34,-70,-121,33,-21,66,-87,65,-60,-26,109,-95,-88,-37,68,-81,-49,124,24,92,-68,-17,63)\n55: 15\n56: Coll(88,-91,-19,72,-33,65,88,-84,19,108,-126,-83,46,-23,-7,-16,79,-15,28,-109,59,13,22,-53,-51,16,118,94,3,-68,94,-1)\n57: 16\n58: Coll(-9,-9,56,80,78,5,18,-80,118,-10,53,2,-15,29,-54,-62,39,28,108,96,-123,-51,42,95,-84,114,-24,-113,78,-24,108,-9)\n59: 17\n60: Coll(2,-101,-26,-45,69,72,-94,-125,63,7,62,83,46,-117,17,23,-4,8,38,71,-96,-62,-29,-12,-127,-18,41,-30,61,-117,-118,31)\n61: 18\n62: Coll(43,-28,-110,111,20,-47,21,-81,-39,-49,17,51,-9,-18,73,-101,93,8,-127,-41,7,89,-114,89,72,-4,-90,113,-26,-120,21,8)\n63: 19\n64: 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)\n65: 20\n66: 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)\n67: 21\n68: 6\n69: 38\n70: 0\n71: 1\n72: 13000000\n73: 1\n74: 1\n75: 33\n76: 1\n77: 5\n78: Coll(32,68,65,79,32,75,101,121)\n79: 48",
"ergoTreeScript": "{sigmaProp(if (OUTPUTS.size == placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box1.value >= SELF.value - placeholder[Long](2), box1.tokens == SELF.tokens, box1.propositionBytes == SELF.R6[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val box1 = CONTEXT.dataInputs(placeholder[Int](4))\n val avlTree2 = getVar[AvlTree](1.toByte).get\n val box3 = OUTPUTS(placeholder[Int](5))\n val coll4 = box1.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](6), placeholder[Coll[Byte]](7)), getVar[Coll[Byte]](0.toByte).get)\n val coll5 = SELF.R4[Coll[Coll[Byte]]].get\n val coll6 = coll5(placeholder[Int](8))\n val coll7 = coll5(placeholder[Int](9))\n val coll8 = SELF.id\n val tuple9 = box3.tokens(placeholder[Int](10))\n val box10 = OUTPUTS(placeholder[Int](11))\n val tuple11 = box10.tokens(placeholder[Int](12))\n val coll12 = box10.R4[Coll[Byte]].get\n allOf(Coll[Boolean](box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14), placeholder[Coll[Byte]](15) == avlTree2.digest, allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == coll4(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18)), box3.R4[AvlTree].get.digest == avlTree2.insert(Coll[(Coll[Byte], Coll[Byte])]((placeholder[Coll[Byte]](19), coll6), (placeholder[Coll[Byte]](20), coll7), (placeholder[Coll[Byte]](21), Coll[Byte](placeholder[Byte](22), placeholder[Byte](23), placeholder[Byte](24), placeholder[Byte](25), placeholder[Byte](26), placeholder[Byte](27)).append(coll8)), (placeholder[Coll[Byte]](28), coll5(placeholder[Int](29))), (placeholder[Coll[Byte]](30), coll5(placeholder[Int](31))), (placeholder[Coll[Byte]](32), coll5(placeholder[Int](33))), (placeholder[Coll[Byte]](34), coll5(placeholder[Int](35))), (placeholder[Coll[Byte]](36), coll5(placeholder[Int](37))), (placeholder[Coll[Byte]](38), coll5(placeholder[Int](39))), (placeholder[Coll[Byte]](40), coll5(placeholder[Int](41))), (placeholder[Coll[Byte]](42), coll5(placeholder[Int](43))), (placeholder[Coll[Byte]](44), coll5(placeholder[Int](45))), (placeholder[Coll[Byte]](46), coll5(placeholder[Int](47))), (placeholder[Coll[Byte]](48), coll5(placeholder[Int](49))), (placeholder[Coll[Byte]](50), coll5(placeholder[Int](51))), (placeholder[Coll[Byte]](52), coll5(placeholder[Int](53))), (placeholder[Coll[Byte]](54), coll5(placeholder[Int](55))), (placeholder[Coll[Byte]](56), coll5(placeholder[Int](57))), (placeholder[Coll[Byte]](58), coll5(placeholder[Int](59))), (placeholder[Coll[Byte]](60), coll5(placeholder[Int](61))), (placeholder[Coll[Byte]](62), coll5(placeholder[Int](63))), (placeholder[Coll[Byte]](64), coll5(placeholder[Int](65))), (placeholder[Coll[Byte]](66), coll5(placeholder[Int](67)))), getVar[Coll[Byte]](2.toByte).get).get.digest, tuple9._1 == coll7.slice(placeholder[Int](68), placeholder[Int](69)), tuple9._2 == SELF.R5[Coll[Long]].get(placeholder[Int](70)) + placeholder[Long](71), box3.value >= placeholder[Long](72))), allOf(Coll[Boolean](blake2b256(box10.propositionBytes) == coll4(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), tuple11._1 == coll8, tuple11._2 == placeholder[Long](76), coll12 == coll6.slice(placeholder[Int](77), coll6.size).append(placeholder[Coll[Byte]](78)), box10.R5[Coll[Byte]].get == coll12, box10.R6[Coll[Byte]].get == Coll[Byte](placeholder[Byte](79))))))\n )})}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 100000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 1,
"amount": 100000000001,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[060000000a4d79466972737444414f,0a000000002000de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269,0001,030000000000000019,03000000000000003c,030000000000989680,030000000000000002,0300000000006ddd00,0032,0019,0019,060000000c6d795f66697273745f64616f,060000002a5468652066697273742064616f206372656174656420617320612075736572206f662050616964656961,060000005c68747470733a2f2f636c6f7564666c6172652d697066732e636f6d2f697066732f62616679626569656164363532336969716c71796f37637773363470666c32703269657737746236616277356a687a6c717674786f7a716972716d,0300000000006ddd00,0600000000,0500,0600000000,0500,060000000764656661756c74,0a0a00000000,0a030000000200000000000000000000000000000000]"
},
"R5": {
"serializedValue": "110180a0b787e905",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000]"
},
"R6": {
"serializedValue": "0e240008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e"
}
}
},
{
"boxId": "e080c36bf6b5d460813d2570c89a8065822c8d974d233ea6c41b68c306980e19",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e930da98e0ea9890de51e2f39271987a94b519533ba3708b4ca4f603d370571f",
"outputTransactionId": "7663bdeb2f6bb0830774e993cc965750e57620ac59b04ec3f6544cbc4a17d030",
"outputIndex": 1,
"outputGlobalIndex": 35712544,
"outputCreatedAt": 1169934,
"outputSettledAt": 1169936,
"ergoTree": "1026040004020402040204000e207229fdafbb96116f3c885ebd7319a3298442ca840038ee0c5e6d32ea735e4a160e2046b3640a317384bdaa50b7a420cf8f36a3b879fe4ecc12b6924ace45e73521230e205be447c71392c430b0126048269f9a788af35527755face9d229fd86530e34f50e201decb24f08f9ff1522b653a5568e72dd424d8a98561f3ecf2eeca1823225c7690e20767caa80b98e496ad8a9f689c4410ae453327f0f95e95084c0ae206350793b7704000404040004000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f9040004000502040404040402044205020408040204420400040204120580897a0e200040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc59830402040204120400040604020442d80cd601b2db6501fe730000d602b2a5730100d603db63087202d604db6308a7d605b27203730200d606b27204730300d6078c720601d608b2a5730400d609dc640be4c6720104640283050e73057306730773087309e4e3000ed60ab2db63087208730a00d60bb2a5730b00d60cb2db6308720b730c00d196830501938cb2db63087201730d0001730e9683060193b27203730f00b27204731000938c7205017207938c720502998c720602731193b17203731293c27202c2a792c17202c1a79683030193cbc27208b4e4b2720973130073147315938c720a017207938c720a0273169683040193cbc2720bb4e4b272097317007318731993c1720b9a7cb4e4b27209731a00731b731c731d938c720c01731e938c720c027cb4e4b27209731f007320732193cbc2b2a4732200b4e4b2720973230073247325",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 1\n4: 0\n5: 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)\n6: 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)\n7: 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)\n8: 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)\n9: 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)\n10: 0\n11: 2\n12: 0\n13: 0\n14: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 33\n22: 1\n23: 4\n24: 1\n25: 33\n26: 0\n27: 1\n28: 9\n29: 1000000\n30: 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)\n31: 1\n32: 1\n33: 9\n34: 0\n35: 3\n36: 1\n37: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll4(placeholder[Int](3))\n val coll7 = tuple6._1\n val box8 = OUTPUTS(placeholder[Int](4))\n val coll9 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[Coll[Byte]](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val tuple10 = box8.tokens(placeholder[Int](10))\n val box11 = OUTPUTS(placeholder[Int](11))\n val tuple12 = box11.tokens(placeholder[Int](12))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](15)) == coll4(placeholder[Int](16)), tuple5._1 == coll7, tuple5._2 == tuple6._2 - placeholder[Long](\n 17\n ), coll3.size == placeholder[Int](18), box2.propositionBytes == SELF.propositionBytes, box2.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box8.propositionBytes) == coll9(placeholder[Int](19)).get.slice(\n placeholder[Int](20), placeholder[Int](21)\n ), tuple10._1 == coll7, tuple10._2 == placeholder[Long](22)\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == coll9(placeholder[Int](23)).get.slice(\n placeholder[Int](24), placeholder[Int](25)\n ), box11.value == byteArrayToLong(coll9(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28))) + placeholder[Long](\n 29\n ), tuple12._1 == placeholder[Coll[Byte]](30), tuple12._2 == byteArrayToLong(\n coll9(placeholder[Int](31)).get.slice(placeholder[Int](32), placeholder[Int](33))\n )\n )\n ), blake2b256(INPUTS(placeholder[Int](34)).propositionBytes) == coll9(placeholder[Int](35)).get.slice(placeholder[Int](36), placeholder[Int](37))\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "01151483d91cf80719104b6c1df665c798a328f784d36a86dacbf1bccacaf158",
"index": 0,
"amount": 1,
"name": "Paideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00c3fd71f6ef5a03d125d11bd5fa5b738ef12dd3104491c243698a4486f139a6",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "95cd097e60d904935753e543b0e94dbfdf30113d6fc307986eff8c8c13dd22ed",
"value": 1000000,
"index": 0,
"outputBlockId": "02ddc00780dcbfd4f03e6dc672cfa945c317ee0de4ee33fe6a3ef6e34bee23a5",
"outputTransactionId": "c49884790443fec62663a50f227df363684dc09050a66975d81fe0de29b189ab",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a510100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCuknDpV3PzizoM2efhYNFH3o7uHxSjqDTXCRdcV2F4vMAbtG8fxGWK9ZxWniTZ6GFE5mT7DEpU6W6piUfh32UkeqxrkxS1Gb6KitQDAbSnrTwCceBFbSkmGRLmPxi26PrzREXVVz4UnXjm1xmFrng6vu6NtPvPfEzz1a4asj856HV8Pq1mMx3UgNfeA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "640ab255c10b60d083289da3ca3feeee09bca202d434e9524487fe3ff4b74c3e4d08072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "294d99bd3fcf5118e06bd930a29e661e74f3224cca8c37b2272ce057a736050c",
"transactionId": "1a3d1572ea60720fc6fcdcd9a39a2b5196e4022f50e1a726d03c02bc95db91c3",
"blockId": "2084f3ae6469909110bc49253bafe06ec1ef7e285c36932bd0855509c884283b",
"value": 13000000,
"index": 0,
"globalIndex": 35770517,
"creationHeight": 1170745,
"settlementHeight": 1170748,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n3: 0\n4: 1\n5: 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)\n6: Coll(-123,-126,49,25,-14,96,-57,-69,-17,91,10,69,78,-79,-26,67,-22,98,-63,27,-91,75,108,40,114,-14,68,-44,66,-3,57,127)\n7: 0\n8: Coll(37,-75,-102,116,0,-35,-76,-39,37,58,20,83,113,-73,-52,-114,-40,97,99,-40,-2,-87,44,-43,112,-116,-122,18,-13,-42,-109,-81)\n9: 0\n10: 5\n11: Coll(61,-86,102,-128,-114,105,-62,90,-23,50,-35,102,97,28,95,11,60,-70,-54,-47,18,82,3,-24,125,-115,-60,-111,-122,28,113,-26)\n12: Coll(32,80,114,111,112,111,115,97,108)\n13: 9223372036854775807\n14: Coll(-70,-86,-101,22,76,-76,-72,13,115,94,16,66,78,38,-92,113,-71,98,28,2,-17,-54,23,70,19,90,-61,-10,-37,16,20,16)\n15: Coll(32,65,99,116,105,111,110)\n16: 9223372036854775807\n17: 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)\n18: Coll(32,83,116,97,107,101,32,83,116,97,116,101)\n19: 1\n20: -1\n21: 0\n22: 1\n23: 1\n24: 33\n25: 48\n26: 0\n27: 1\n28: 33\n29: 10\n30: 0\n31: 0\n32: 0\n33: 0\n34: 32\n35: 2000000\n36: 1\n37: Coll(-46,74,-49,66,15,5,-112,35,-23,116,33,0,-123,30,-74,-83,-115,-104,118,19,-110,-75,-39,118,20,59,96,8,-109,23,106,7)\n38: 0\n39: 1\n40: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val avlTree2 = box1.R4[AvlTree].get\n val coll3 = getVar[Coll[Byte]](1.toByte).get\n val avlTree4 = SELF.R4[AvlTree].get\n sigmaProp(allOf(Coll[Boolean](box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2), if (getVar[Byte](0.toByte).get == placeholder[Byte](3)) {(\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = avlTree2.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), coll3)\n val tuple7 = box5.tokens(placeholder[Int](7))\n val coll8 = SELF.id\n val coll9 = getVar[Coll[Byte]](3.toByte).get\n val coll10 = avlTree4.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](8)), getVar[Coll[Byte]](2.toByte).get)(placeholder[Int](9)).get\n val coll11 = coll10.slice(placeholder[Int](10), coll10.size)\n val tuple12 = if (coll9 == placeholder[Coll[Byte]](11)) { (coll11.append(placeholder[Coll[Byte]](12)), placeholder[Long](13)) } else { if (coll9 == placeholder[Coll[Byte]](14)) { (coll11.append(placeholder[Coll[Byte]](15)), placeholder[Long](16)) } else { if (coll9 == placeholder[Coll[Byte]](17)) { (coll11.append(placeholder[Coll[Byte]](18)), placeholder[Long](19)) } else { (coll11, placeholder[Long](20)) } } }\n val coll13 = box5.R4[Coll[Byte]].get\n val box14 = OUTPUTS(placeholder[Int](21))\n allOf(Coll[Boolean](allOf(Coll[Boolean](blake2b256(box5.propositionBytes) == coll6(placeholder[Int](22)).get.slice(placeholder[Int](23), placeholder[Int](24)), tuple7._1 == coll8, tuple7._2 == tuple12._2, coll13 == tuple12._1, box5.R5[Coll[Byte]].get == coll13, box5.R6[Coll[Byte]].get == Coll[Byte](placeholder[Byte](25)))), allOf(Coll[Boolean](blake2b256(box14.propositionBytes) == coll6(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)), box14.tokens == SELF.tokens, box14.R4[AvlTree].get.digest == avlTree4.insert(Coll[(Coll[Byte], Coll[Byte])]((coll9, Coll[Byte](placeholder[Byte](29), placeholder[Byte](30), placeholder[Byte](31), placeholder[Byte](32), placeholder[Byte](33), placeholder[Byte](34)).append(coll8))), getVar[Coll[Byte]](4.toByte).get).get.digest, box14.value >= SELF.value - placeholder[Long](35), box14.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get))))\n )} else { blake2b256(INPUTS(placeholder[Int](36)).propositionBytes) == avlTree2.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](37)), coll3)(placeholder[Int](38)).get.slice(placeholder[Int](39), placeholder[Int](40)) })))\n}",
"address": "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",
"assets": [
{
"tokenId": "00c3fd71f6ef5a03d125d11bd5fa5b738ef12dd3104491c243698a4486f139a6",
"index": 0,
"amount": 1,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00de06c61282578684b377ffd6314c38ce596f2c054107fe2314810677859269",
"index": 1,
"amount": 100000000001,
"name": "MyFirstDAOToken",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "649e5ce52a4eddd72cc945830db6bd57d1918d79f8ce05d9879d88071c9e10543d05072000",
"sigmaType": null,
"renderedValue": null
},
"R5": {
"serializedValue": "0e20af186fef470175989b9c921d0f8cd18629e62e9539908165c2ef841c8242e9b5",
"sigmaType": "Coll[SByte]",
"renderedValue": "af186fef470175989b9c921d0f8cd18629e62e9539908165c2ef841c8242e9b5"
}
},
"spentTransactionId": "2cd6fba789f25e0ed0ae695874ea5c1779cfe829e55bf5bbc0d2ad18321668d6",
"mainChain": true
},
{
"boxId": "df82b9dc9258310c57a8e638d6bf32b0dd4a3bc2f4144106b4a88532023929a1",
"transactionId": "1a3d1572ea60720fc6fcdcd9a39a2b5196e4022f50e1a726d03c02bc95db91c3",
"blockId": "2084f3ae6469909110bc49253bafe06ec1ef7e285c36932bd0855509c884283b",
"value": 1000000,
"index": 1,
"globalIndex": 35770518,
"creationHeight": 1170745,
"settlementHeight": 1170748,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 1\n4: 0\n5: 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)\n6: 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)\n7: 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)\n8: 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)\n9: 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)\n10: 0\n11: 2\n12: 0\n13: 0\n14: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 33\n22: 1\n23: 4\n24: 1\n25: 33\n26: 0\n27: 1\n28: 9\n29: 1000000\n30: 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)\n31: 1\n32: 1\n33: 9\n34: 0\n35: 3\n36: 1\n37: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll4(placeholder[Int](3))\n val coll7 = tuple6._1\n val box8 = OUTPUTS(placeholder[Int](4))\n val coll9 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[Coll[Byte]](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val tuple10 = box8.tokens(placeholder[Int](10))\n val box11 = OUTPUTS(placeholder[Int](11))\n val tuple12 = box11.tokens(placeholder[Int](12))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](15)) == coll4(placeholder[Int](16)), tuple5._1 == coll7, tuple5._2 == tuple6._2 - placeholder[Long](\n 17\n ), coll3.size == placeholder[Int](18), box2.propositionBytes == SELF.propositionBytes, box2.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box8.propositionBytes) == coll9(placeholder[Int](19)).get.slice(\n placeholder[Int](20), placeholder[Int](21)\n ), tuple10._1 == coll7, tuple10._2 == placeholder[Long](22)\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == coll9(placeholder[Int](23)).get.slice(\n placeholder[Int](24), placeholder[Int](25)\n ), box11.value == byteArrayToLong(coll9(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28))) + placeholder[Long](\n 29\n ), tuple12._1 == placeholder[Coll[Byte]](30), tuple12._2 == byteArrayToLong(\n coll9(placeholder[Int](31)).get.slice(placeholder[Int](32), placeholder[Int](33))\n )\n )\n ), blake2b256(INPUTS(placeholder[Int](34)).propositionBytes) == coll9(placeholder[Int](35)).get.slice(placeholder[Int](36), placeholder[Int](37))\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "01151483d91cf80719104b6c1df665c798a328f784d36a86dacbf1bccacaf158",
"index": 0,
"amount": 1,
"name": "Paideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "00c3fd71f6ef5a03d125d11bd5fa5b738ef12dd3104491c243698a4486f139a6",
"index": 1,
"amount": 9223372036854776000,
"name": "Paideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "9666dde02616de0a43368b395e2e4a081ec97305fb5445a2490d4218aa7a9aaa",
"mainChain": true
},
{
"boxId": "76f6089d8b39b03b20a6da49972f04c42ba8f3264751505a1b5b7eef24c32f62",
"transactionId": "1a3d1572ea60720fc6fcdcd9a39a2b5196e4022f50e1a726d03c02bc95db91c3",
"blockId": "2084f3ae6469909110bc49253bafe06ec1ef7e285c36932bd0855509c884283b",
"value": 101000000,
"index": 2,
"globalIndex": 35770519,
"creationHeight": 1170745,
"settlementHeight": 1170748,
"ergoTree": "102c04000e20c7c537e6c635930ecb4ace95a54926b3ab77698d9f4922f0b1c58ea87156483b0e20deaecf5b64bad6f5570bad0a610c4e484957cf4782308400bc90404c1d1410da0e20fe21b973ccb4d91f288b1c5b3a4f6d9e0c52f6b163c387a2370eb4f9b4001a3e0e20b8c32c0b9e42cc86d030b2618e5a06c0d2eb2ba0641f090685b985edab10956f0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a204040402040004000400040204420400040804000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f90400040404080402040204420580897a05c8010406040c044c0400040c044a040c044a040a040c044a040205000500050005000500050005c801d807d601b2db6501fe730000d602dc640be4c6720104640283050e73017302730373047305e4e3000ed603b2e4b27202730600730700d604b2a5730800d605b2a4730900d606b2b5a5d901066393cbc27206b4e4b27202730a00730b730c730d00d607e4b27202730e00d1ed938cb2db63087201730f0001731095907e720304731193b1a57312d802d60899c17204c17205d6097e7203059683040193b1a5731393cbc27204b4e4b2720273140073157316939d9c9a720899c172067317720973187208afb383010eb4e4b27202731900731a731baddb0c0eb47207731c9d99b17207731d731ed9010a04b472079a9a731f9c7320720a73219a73229c73239a720a7324d9010a0ed801d60c99b0db630872047325d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027326b0db630872057327d9010c414d0ed801d60e8c720c029a8c720c0195938c720e01720a8c720e027328939d9c9a720cb0db630872067329d9010d414d0ed801d60f8c720d029a8c720d0195938c720f01720a8c720f02732a7209732b720c",
"ergoTreeConstants": "0: 0\n1: 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)\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n4: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\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: 2\n7: 1\n8: 0\n9: 0\n10: 0\n11: 1\n12: 33\n13: 0\n14: 4\n15: 0\n16: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n17: 0\n18: 2\n19: 4\n20: 1\n21: 1\n22: 33\n23: 1000000\n24: 100\n25: 3\n26: 6\n27: 38\n28: 0\n29: 6\n30: 37\n31: 6\n32: 37\n33: 5\n34: 6\n35: 37\n36: 1\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 100",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val coll2 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val b3 = coll2(placeholder[Int](6)).get(placeholder[Int](7))\n val box4 = OUTPUTS(placeholder[Int](8))\n val box5 = INPUTS(placeholder[Int](9))\n val box6 = OUTPUTS.filter(\n {(box6: Box) => blake2b256(box6.propositionBytes) == coll2(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12)) }\n )(placeholder[Int](13))\n val coll7 = coll2(placeholder[Int](14)).get\n sigmaProp(\n (box1.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)) && if (b3.toInt <= placeholder[Int](17)) {\n OUTPUTS.size == placeholder[Int](18)\n } else {(\n val l8 = box4.value - box5.value\n val l9 = b3.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == placeholder[Int](19), blake2b256(box4.propositionBytes) == coll2(placeholder[Int](20)).get.slice(\n placeholder[Int](21), placeholder[Int](22)\n ), l8 + box6.value - placeholder[Long](23) * l9 / placeholder[Long](24) == l8, Coll[Coll[Byte]](\n coll2(placeholder[Int](25)).get.slice(placeholder[Int](26), placeholder[Int](27))\n ).append(\n coll7.slice(placeholder[Int](28), coll7.size - placeholder[Int](29) / placeholder[Int](30)).indices.map(\n {(i10: Int) =>\n coll7.slice(\n placeholder[Int](31) + placeholder[Int](32) * i10 + placeholder[Int](33), placeholder[Int](34) + placeholder[Int](35) * i10 + placeholder[\n Int\n ](36)\n )\n }\n )\n ).forall({(coll10: Coll[Byte]) =>\n val l12 = box4.tokens.fold(placeholder[Long](37), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](38) }\n }) - box5.tokens.fold(placeholder[Long](39), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](40) }\n })\n l12 + box6.tokens.fold(placeholder[Long](41), {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == coll10) { tuple15._2 } else { placeholder[Long](42) }\n }) * l9 / placeholder[Long](43) == l12\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 100000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "7cc89e0b56695ddaeb388287776273aa49104ffddef18b1e2453dfd2125271ab",
"mainChain": true
},
{
"boxId": "275889dd48ae9235b6f6ef45f6cb71d99800bfdc50fb2c73e7637a3d7adc228f",
"transactionId": "1a3d1572ea60720fc6fcdcd9a39a2b5196e4022f50e1a726d03c02bc95db91c3",
"blockId": "2084f3ae6469909110bc49253bafe06ec1ef7e285c36932bd0855509c884283b",
"value": 1000000,
"index": 3,
"globalIndex": 35770520,
"creationHeight": 1170745,
"settlementHeight": 1170748,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\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: 0\n5: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n6: 0\n7: 1\n8: 33\n9: 0\n10: 0\n11: 6\n12: 38\n13: 0\n14: 1\n15: 1\n16: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box1.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3)), getVar[Coll[Byte]](0.toByte).get)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), blake2b256(box2.propositionBytes) == coll3(placeholder[Int](6)).get.slice(\n placeholder[Int](7), placeholder[Int](8)\n ), SELF.tokens(placeholder[Int](9))._1 == box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](getVar[Coll[Byte]](2.toByte).get), getVar[Coll[Byte]](1.toByte).get\n )(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12)), blake2b256(OUTPUTS(placeholder[Int](13)).propositionBytes) == coll3(\n placeholder[Int](14)\n ).get.slice(placeholder[Int](15), placeholder[Int](16))\n )\n )\n )\n}",
"address": "3EFHCKeRPVHgyayoQ4uZbb7hxTkzDNWdHxcNDEodajfiCiX3bKNBWy3VooVSsrhPG8rM7DHyLtq2eEufJNxnVKbibiYSxAyBorZtkVsmKdX9BCcdLno8X2E2GfK4TTkM5xW5Nw2GkNLCxP3HMzn1YZo5PfbbMKC8TnhkFjP3iSK9ETUZcoDaDfpjBBQci5v9MKfbinskuV3PuJjk8aEUUup8RBoWcfbbtPmFuWZeoBELh1nFyepjUrvd4ERhuL4KM79GdLmjPynKcK2YzJJjUeokGbV9dzmZCPVQcAoU8LKCQE7MrwJiwRe34pi16zQgHwCp2B4JBvZo4xf8wNYxV5iHBHgoPYTN7SmQAJNLSzUQDY8TJiqbRgAoJJ",
"assets": [
{
"tokenId": "af186fef470175989b9c921d0f8cd18629e62e9539908165c2ef841c8242e9b5",
"index": 0,
"amount": 1,
"name": "MyFirstDAO DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e124d79466972737444414f2044414f204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d79466972737444414f2044414f204b6579"
},
"R5": {
"serializedValue": "0e124d79466972737444414f2044414f204b6579",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d79466972737444414f2044414f204b6579"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
}
},
"spentTransactionId": "3f83fe02023560e531dec404e610f53878f62355b66c7bb5b7c5dbb4447aadeb",
"mainChain": true
},
{
"boxId": "9755082ab63ad56fcf1fa5866c473be1e548212d4b4449e469e7a28155a3412d",
"transactionId": "1a3d1572ea60720fc6fcdcd9a39a2b5196e4022f50e1a726d03c02bc95db91c3",
"blockId": "2084f3ae6469909110bc49253bafe06ec1ef7e285c36932bd0855509c884283b",
"value": 1000000,
"index": 4,
"globalIndex": 35770521,
"creationHeight": 1170745,
"settlementHeight": 1170748,
"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": "83b8efa150bb04dd63cfe4965b8af3f873d899fa50b231a4f6db813ac85c9990",
"mainChain": true
}
],
"size": 4696,
"isUnconfirmed": false
}