Transaction
ID: 5eaedbbcfe...5ef0
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (6)
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:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Transaction Details
Confirmations: 757,023
Total coins transferred: 0.01 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000122 ERG
Raw Transaction Data
{
"id": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"inclusionHeight": 1009889,
"timestamp": 1684842873424,
"index": 19,
"globalIndex": 5252380,
"numConfirmations": 757023,
"inputs": [
{
"boxId": "1d08e5d5279d1ad3cb47faa34aac19e98c46844a0898d8c0b1402f42d6bb3d4e",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "657100177963ec2955d8dd7beea9da1d6e9a84e0f7a67c925fb395f1c9e72675",
"outputTransactionId": "c48a91c953aaabd9838262c4b7a9451c4b97910b4464691669f01c9835f3f64d",
"outputIndex": 0,
"outputGlobalIndex": 29368762,
"outputCreatedAt": 1009873,
"outputSettledAt": 1009875,
"ergoTree": "1032040004020e20deaecf5b64bad6f5570bad0a610c4e484957cf4782308400bc90404c1d1410da0e20039208bc4eef9a03e8d78b8663a301bb5faddca78be19d7fe535b3c64cbefe420e208830612c52355f6f280d1297f19f67b078c9daa7d7b04b459c91cc644957c2800e208bc78f1c6aaec91e628e15cf668c16cc1e9bd8e4b9b7e16d6318b5f523a5e9bd0e204fd8b0d6d98242726f57b3dfa686126792b8e5056e1d51b6e90d6880cf2dcdc50e20892e6f47a10d5c90b87ad4863355cead00c3e2983217ee15533253cd9a6025c20e203a11955c4719e588bce6a7611d27bd1fdfdb57385caee266d8040c894f1c2e1d0e2009820fcb8871fb450c3e06b7cb5e27b0455087a366621a9dde7582a019111e3e040004000e2077fa09f7e5b5291eb0a37567bb868d69f89bca99cf67f3c2139a6ec1334c690c0400040c02000402040204420201040404020442020204060402044202030408040204420204040a040204420205040c040204420206040e040204420400040204420400040004020402d808d601b2db6501fe730000d602e4e30102d6037e720204d604b2a4730100d605dc640be4c6720104640283080e73027303730473057306730773087309e4e3000ed606b2a5730a00d607db63087206d608db6308a7d196830401938cb2db63087201730b0001730ced927203730d907203730e97830701ed937202730f93cbc27204b4e4b2720573100073117312ed937202731393cbc27204b4e4b2720573140073157316ed937202731793cbc27204b4e4b272057318007319731aed937202731b93cbc27204b4e4b27205731c00731d731eed937202731f93cbc27204b4e4b2720573200073217322ed937202732393cbc27204b4e4b2720573240073257326ed937202732793cbc27204b4e4b272057328007329732a9683030193cbc27206b4e4b27205732b00732c732d93b27207732e00b27208732f00938cb27207733000018cb2720873310001",
"ergoTreeConstants": "0: 0\n1: 1\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(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"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 = INPUTS(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), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "4e7b50a5a36e9dd0bf734a1b64299d47d6c58016cb47c17dc2329ee3d82dcf95",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 1001000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107f089ac8b896280a8d6b9070200000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684847035000,1000000000,1,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0504000080a8d6b90780a8d6b9070400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0,1000000000,1000000000],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d0402000002000002a0cda385020002a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[273970000,0],[273970000,0]]"
},
"R7": {
"serializedValue": "0c3c6464044ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000f4aa7ff9261a850064409045caaff006e90ba941635f86fe947ff0b37be66e86010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000f4aa7ff9261a850064409045caaff006e90ba941635f86fe947ff0b37be66e86010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402f4aa7ff9261a850064409045caaff006e90ba941635f86fe947ff0b37be66e86010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "12737b0e99ff5b929aea88797ea473c854ae0efbf77e176f722016178b2f3839",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b009344a33a7aa2dc322bdf94ffb84d81989b9ff900271993415f85ef20af03e",
"outputTransactionId": "c9391df60db0a4d853aa8eabb82a987962008631db8be94baf15c6ea58855b02",
"outputIndex": 8,
"outputGlobalIndex": 29366585,
"outputCreatedAt": 1009794,
"outputSettledAt": 1009798,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n3: 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)\n4: 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)\n5: 1\n6: 3\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 1\n16: 0\n17: 8\n18: 0\n19: 1\n20: 8\n21: 16\n22: 0\n23: 0\n24: 8\n25: 8\n26: 1\n27: 8\n28: 0\n29: 0\n30: 8\n31: 8\n32: 1\n33: 8\n34: 0\n35: 0\n36: 2\n37: 6\n38: 38\n39: 0\n40: 1\n41: 33\n42: 3\n43: 0\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 2\n52: 3\n53: 3\n54: 4\n55: 4\n56: 5\n57: 5\n58: 0\n59: 1\n60: 6\n61: 38\n62: 0\n63: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = 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 box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Coll[Long]]].get == box8.R8[Coll[Coll[Long]]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "ec7afbf71af0036c6689436aa46789914b73842a5739f932921e56c75f36716e",
"value": 4000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "2d913bc45e33629dbffa0d180ed75a10ec2e8c15de190501cb1cdc5eda667105",
"outputTransactionId": "e07585ab67e03c71f456314295fa6626cd4560615b5137432fed56c55b9161da",
"outputIndex": 1,
"outputGlobalIndex": 29368412,
"outputCreatedAt": 1009860,
"outputSettledAt": 1009862,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n2: 2\n3: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n4: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n5: 1\n6: 0\n7: 0\n8: -1\n9: 0\n10: 1\n11: -1\n12: 2\n13: 0\n14: 0\n15: 1\n16: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n17: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n18: 0\n19: 0\n20: 3000000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 1\n27: 2\n28: 0\n29: 1\n30: 9\n31: 1000\n32: -2\n33: 1\n34: 1\n35: 33\n36: 1000000\n37: Coll(83,4,-93,-83,21,100,-79,8,-97,-25,26,-41,-123,60,-93,-9,-45,8,-104,-29,-40,-120,-71,96,45,-56,124,57,39,-96,89,9)\n38: 1\n39: 0\n40: 1\n41: 9\n42: 0\n43: 3\n44: 0\n45: 0\n46: 8\n47: 8\n48: 1\n49: 8\n50: 0\n51: 2\n52: 1\n53: 2\n54: 0\n55: 8\n56: 16\n57: 0\n58: 0\n59: 8\n60: 8\n61: 1\n62: 8\n63: 0\n64: 0\n65: 1\n66: 6\n67: 38",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = SELF.R5[Coll[Long]].get\n val coll6 = coll5.slice(placeholder[Int](2), coll5.size)\n val opt7 = getVar[(Int, Long)](4.toByte)\n val tuple8 = opt7.get\n val i9 = tuple8._1\n val l10 = tuple8._2\n val avlTree11 = SELF.R6[AvlTree].get\n val coll12 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get)\n val l13 = coll5(placeholder[Int](5))\n val l14 = coll5(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](7))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](8)) == placeholder[Int](9)) && (\n coll4(placeholder[Int](10)) == placeholder[Int](11)\n )) {(\n val box15 = coll1(placeholder[Int](12))\n val bool16 = (coll6.indices.forall({(i16: Int) => if (i16 == i9) { coll6(i16) == l10 } else { coll6(i16) <= l10 } }) && (coll6.size > i9)) && (\n i9 >= placeholder[Int](13)\n )\n val box17 = OUTPUTS(placeholder[Int](14))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt7\n val tuple21 = tuple8\n val box22 = OUTPUTS(placeholder[Int](15))\n val coll23 = box15.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](16), placeholder[Coll[Byte]](17)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](19))._1 == coll3, bool16, allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](20), box17.tokens(\n placeholder[Int](21)\n ) == coll18(placeholder[Int](22)), coll19(placeholder[Int](23)) == coll4(placeholder[Int](24)), box17.R5[Coll[Long]].get == coll5, box17.R6[\n AvlTree\n ].get == avlTree11, coll19(placeholder[Int](25)) == if (l13 > coll1(placeholder[Int](26)).R5[Coll[Long]].get(\n placeholder[Int](27)\n ) * byteArrayToLong(coll12(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))) / placeholder[Long](31)) { i9 } else {\n placeholder[Int](32)\n }, bool16\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](33)).get.slice(\n placeholder[Int](34), placeholder[Int](35)\n ), box22.value >= placeholder[Long](36), tuple24._1 == placeholder[Coll[Byte]](37), tuple24._2 >= min(\n coll18(placeholder[Int](38))._2, byteArrayToLong(coll23(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](42))\n val box16 = INPUTS(placeholder[Int](43))\n val coll17 = box16.tokens(placeholder[Int](44))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](45), coll18.size / placeholder[Int](46)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](47), i19 + placeholder[Int](48) * placeholder[Int](49))) }\n )\n val l20 = coll19.fold(placeholder[Long](50), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](51))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree11.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](52))\n val coll26 = coll22.slice(placeholder[Int](53), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](54)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](55), placeholder[Int](56)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll4, coll22(placeholder[Int](57)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](58), coll28.size / placeholder[Int](59)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](60), i29 + placeholder[Int](61) * placeholder[Int](62))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](63), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll6.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll6.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree11.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree11.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](64))._1 == coll12(placeholder[Int](65)).get.slice(placeholder[Int](66), placeholder[Int](67))\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0c918fc299d1e201d2157ffc8a994d33eb0663324782458c10a88f0678914547",
"index": 0,
"amount": 1,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 10000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "110480d98e878962000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684842600000,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "6a1d96fa6502014ceb76a09ef6091b9a9c84f4ed21fcad51e2a572ae98d41086",
"value": 3000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"outputTransactionId": "f7b19b2d6a258b865a41652caf7f4330a1a3cbd7e7d3a61fc98eab2f7b4e223d",
"outputIndex": 0,
"outputGlobalIndex": 29369194,
"outputCreatedAt": 1009887,
"outputSettledAt": 1009889,
"ergoTree": "100b040004000580897a043c0406040404000400040004000e200c918fc299d1e201d2157ffc8a994d33eb0663324782458c10a88f0678914547d19593c5b2a4730000c5a7d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d802d601b2a5730400d602b2a4730500968302019683020193b2db63087201730600b2db6308a773070093c27201e4c6a7060e9683020193b2e4c672020410730800e4c6a70404938cb2db6308720273090001730a",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 3\n5: 2\n6: 0\n7: 0\n8: 0\n9: 0\n10: Coll(12,-111,-113,-62,-103,-47,-30,1,-46,21,127,-4,-118,-103,77,51,-21,6,99,50,71,-126,69,-116,16,-88,-113,6,120,-111,69,71)",
"ergoTreeScript": "{sigmaProp(if (INPUTS(placeholder[Int](0)).id == SELF.id) {(\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 = OUTPUTS(placeholder[Int](4))\n val box2 = INPUTS(placeholder[Int](5))\n allOf(Coll[Boolean](allOf(Coll[Boolean](box1.tokens(placeholder[Int](6)) == SELF.tokens(placeholder[Int](7)), box1.propositionBytes == SELF.R6[Coll[Byte]].get)), allOf(Coll[Boolean](box2.R4[Coll[Int]].get(placeholder[Int](8)) == SELF.R4[Int].get, box2.tokens(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10)))))\n )})}",
"address": "9Uw9EcVR9bTZiBnKeqMaR3kRuEpe18BPe7a3Xoouvvamc6xcA2hxkHNxWdvffWqJVseRW1E7bQGEEhKyu5z46xuPhKZEH4rt1ydqgdzf4hnkATA7FqB1Yqkt1YoxjC5yjSohMDurw2W3YSR8Qd8ELyFHuUXdJxUPHsiJiyMCgCdUqS7DxYNNas5MT6oQKCWYQwnYHDVwQ3AyUPndxTJdxQv6YWWL9oQSzPfkuG4KSMZqSZP8MJS6jB1QpUnQnuwyuUwhpFqEDP9knAvZJoJNCcyNKxRS98CPN4zFn",
"assets": [
{
"tokenId": "e6fe14036723adcdbf1d86e70100cef4584eab70fa230dd3e1441e803402dc0d",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
},
"R5": {
"serializedValue": "0e1000000000000000640000000000000000",
"sigmaType": "Coll[SByte]",
"renderedValue": "00000000000000640000000000000000"
},
"R6": {
"serializedValue": "0e240008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e"
}
}
}
],
"dataInputs": [
{
"boxId": "04f4d3082da51118ac3ec8a0c53adb4bf6aa6ae285f132d2652178eb00006e88",
"value": 1000000,
"index": 0,
"outputBlockId": "b009344a33a7aa2dc322bdf94ffb84d81989b9ff900271993415f85ef20af03e",
"outputTransactionId": "c9391df60db0a4d853aa8eabb82a987962008631db8be94baf15c6ea58855b02",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20be73cefb89c4f9f4e182fe80391039a2b9048c972be155812f57cfc1b79c79220100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbgJEfL4ygmupX3SBCkck48naRFWM9kHwgyft5vw7doPecLmXEycpyaqPtKevKmLtdfZYJsoaBuhPRRQWvcfdDZpKLKYgSMCJxrRicWgYnViLAj4NWSAuYdEkmQp4YsDafgDEjwn2rbFUa8p7wduk6kim3d7Y9E52Xq8PtRWH7Td8fMsDDp9eHx9GvjvDG",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64c5ef1ecc3d66332e072cdcc588e6bd22db8fb0483aa8bc389547cb3b4efa55d408072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "bde574abf43273c16a17dcde1a2fefe9d43a877d2c5cb0a2e2c1ecabafc74605",
"transactionId": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"value": 2000000,
"index": 0,
"globalIndex": 29369211,
"creationHeight": 1009887,
"settlementHeight": 1009889,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\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(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
"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 = INPUTS(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), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val box6 = OUTPUTS(placeholder[Int](10))\n val coll7 = box6.tokens\n val coll8 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n Coll[Boolean](\n (b2 == placeholder[Byte](15)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n ), (b2 == placeholder[Byte](19)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n ), (b2 == placeholder[Byte](23)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n ), (b2 == placeholder[Byte](27)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n ), (b2 == placeholder[Byte](31)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n ), (b2 == placeholder[Byte](35)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n ), (b2 == placeholder[Byte](39)) && (\n blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n )\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n placeholder[Int](46)\n ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "4e7b50a5a36e9dd0bf734a1b64299d47d6c58016cb47c17dc2329ee3d82dcf95",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 1001000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107f089ac8b896280a8d6b9070202c8010000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684847035000,1000000000,1,1,100,0,0]"
},
"R6": {
"serializedValue": "1d0504000080a8d6b90780a8d6b9070400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0,1000000000,1000000000],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d0402000002000002a0cda385020002a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[273970000,0],[273970000,0]]"
},
"R7": {
"serializedValue": "0c3c6464044ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000f4aa7ff9261a850064409045caaff006e90ba941635f86fe947ff0b37be66e86010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000f4aa7ff9261a850064409045caaff006e90ba941635f86fe947ff0b37be66e86010720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64023200f31fb170b549e7f2e5821fa30b1afc579df2648e2f6c31bc4c95af9bb13f01072000bcf6ccf21c97a650beceaefd4019f35b3cab2a5d7c8453da673726c32ef0c03301072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "8493c3aa370bebd4fb125ec47a7bd55203311a9fa9915b2166be86ff024b67dd",
"mainChain": true
},
{
"boxId": "ddb62a0b02b689b24cad0eac3e1045e2a26e344960b46fb0c1d46e87a59dca36",
"transactionId": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"value": 1000000,
"index": 1,
"globalIndex": 29369212,
"creationHeight": 1009887,
"settlementHeight": 1009889,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n3: 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)\n4: 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)\n5: 1\n6: 3\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 1\n16: 0\n17: 8\n18: 0\n19: 1\n20: 8\n21: 16\n22: 0\n23: 0\n24: 8\n25: 8\n26: 1\n27: 8\n28: 0\n29: 0\n30: 8\n31: 8\n32: 1\n33: 8\n34: 0\n35: 0\n36: 2\n37: 6\n38: 38\n39: 0\n40: 1\n41: 33\n42: 3\n43: 0\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 2\n52: 3\n53: 3\n54: 4\n55: 4\n56: 5\n57: 5\n58: 0\n59: 1\n60: 6\n61: 38\n62: 0\n63: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = 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 box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Coll[Long]]].get == box8.R8[Coll[Coll[Long]]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "85a72ec19f1874fb68cd98d937a86c641557a61169ea1f5e026437edf33d7d4d",
"mainChain": true
},
{
"boxId": "dab2c6ef94b0015af31fe2c205e0711c1ddc35851bab8a26e59e6dfb67acd810",
"transactionId": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"value": 4000000,
"index": 2,
"globalIndex": 29369213,
"creationHeight": 1009887,
"settlementHeight": 1009889,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(119,-6,9,-9,-27,-75,41,30,-80,-93,117,103,-69,-122,-115,105,-8,-101,-54,-103,-49,103,-13,-62,19,-102,110,-63,51,76,105,12)\n2: 2\n3: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n4: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n5: 1\n6: 0\n7: 0\n8: -1\n9: 0\n10: 1\n11: -1\n12: 2\n13: 0\n14: 0\n15: 1\n16: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n17: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n18: 0\n19: 0\n20: 3000000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 1\n27: 2\n28: 0\n29: 1\n30: 9\n31: 1000\n32: -2\n33: 1\n34: 1\n35: 33\n36: 1000000\n37: Coll(83,4,-93,-83,21,100,-79,8,-97,-25,26,-41,-123,60,-93,-9,-45,8,-104,-29,-40,-120,-71,96,45,-56,124,57,39,-96,89,9)\n38: 1\n39: 0\n40: 1\n41: 9\n42: 0\n43: 3\n44: 0\n45: 0\n46: 8\n47: 8\n48: 1\n49: 8\n50: 0\n51: 2\n52: 1\n53: 2\n54: 0\n55: 8\n56: 16\n57: 0\n58: 0\n59: 8\n60: 8\n61: 1\n62: 8\n63: 0\n64: 0\n65: 1\n66: 6\n67: 38",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = SELF.R5[Coll[Long]].get\n val coll6 = coll5.slice(placeholder[Int](2), coll5.size)\n val opt7 = getVar[(Int, Long)](4.toByte)\n val tuple8 = opt7.get\n val i9 = tuple8._1\n val l10 = tuple8._2\n val avlTree11 = SELF.R6[AvlTree].get\n val coll12 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get)\n val l13 = coll5(placeholder[Int](5))\n val l14 = coll5(placeholder[Int](6))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](7))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](8)) == placeholder[Int](9)) && (\n coll4(placeholder[Int](10)) == placeholder[Int](11)\n )) {(\n val box15 = coll1(placeholder[Int](12))\n val bool16 = (coll6.indices.forall({(i16: Int) => if (i16 == i9) { coll6(i16) == l10 } else { coll6(i16) <= l10 } }) && (coll6.size > i9)) && (\n i9 >= placeholder[Int](13)\n )\n val box17 = OUTPUTS(placeholder[Int](14))\n val coll18 = SELF.tokens\n val coll19 = box17.R4[Coll[Int]].get\n val opt20 = opt7\n val tuple21 = tuple8\n val box22 = OUTPUTS(placeholder[Int](15))\n val coll23 = box15.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](16), placeholder[Coll[Byte]](17)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple24 = box22.tokens(placeholder[Int](18))\n allOf(\n Coll[Boolean](\n box15.tokens(placeholder[Int](19))._1 == coll3, bool16, allOf(\n Coll[Boolean](\n box17.propositionBytes == SELF.propositionBytes, box17.value >= SELF.value - placeholder[Long](20), box17.tokens(\n placeholder[Int](21)\n ) == coll18(placeholder[Int](22)), coll19(placeholder[Int](23)) == coll4(placeholder[Int](24)), box17.R5[Coll[Long]].get == coll5, box17.R6[\n AvlTree\n ].get == avlTree11, coll19(placeholder[Int](25)) == if (l13 > coll1(placeholder[Int](26)).R5[Coll[Long]].get(\n placeholder[Int](27)\n ) * byteArrayToLong(coll12(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))) / placeholder[Long](31)) { i9 } else {\n placeholder[Int](32)\n }, bool16\n )\n ), CONTEXT.preHeader.timestamp > l14, allOf(\n Coll[Boolean](\n blake2b256(box22.propositionBytes) == coll23(placeholder[Int](33)).get.slice(\n placeholder[Int](34), placeholder[Int](35)\n ), box22.value >= placeholder[Long](36), tuple24._1 == placeholder[Coll[Byte]](37), tuple24._2 >= min(\n coll18(placeholder[Int](38))._2, byteArrayToLong(coll23(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)))\n )\n )\n )\n )\n )\n )} else {(\n val box15 = INPUTS(placeholder[Int](42))\n val box16 = INPUTS(placeholder[Int](43))\n val coll17 = box16.tokens(placeholder[Int](44))._1\n val coll18 = box16.R5[Coll[Byte]].get\n val coll19 = coll18.indices.slice(placeholder[Int](45), coll18.size / placeholder[Int](46)).map(\n {(i19: Int) => byteArrayToLong(coll18.slice(i19 * placeholder[Int](47), i19 + placeholder[Int](48) * placeholder[Int](49))) }\n )\n val l20 = coll19.fold(placeholder[Long](50), {(tuple20: (Long, Long)) => tuple20._1 + tuple20._2 })\n val box21 = OUTPUTS(placeholder[Int](51))\n val coll22 = box21.R5[Coll[Long]].get\n val opt23 = avlTree11.get(coll17, getVar[Coll[Byte]](1.toByte).get)\n val bool24 = opt23.isDefined\n val l25 = coll22(placeholder[Int](52))\n val coll26 = coll22.slice(placeholder[Int](53), coll22.size)\n val coll27 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box15.R4[Coll[AvlTree]].get(placeholder[Int](54)).get(coll17, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](55), placeholder[Int](56)\n )\n ) >= l20, box21.propositionBytes == SELF.propositionBytes, box21.value >= SELF.value, box21.tokens == SELF.tokens, box21.R4[\n Coll[Int]\n ].get == coll4, coll22(placeholder[Int](57)) == l14, if (bool24) {(\n val coll28 = opt23.get\n val coll29 = coll28.indices.slice(placeholder[Int](58), coll28.size / placeholder[Int](59)).map(\n {(i29: Int) => byteArrayToLong(coll28.slice(i29 * placeholder[Int](60), i29 + placeholder[Int](61) * placeholder[Int](62))) }\n )\n allOf(\n Coll[Boolean](\n l25 == l13 - coll29.fold(placeholder[Long](63), {(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 }) + l20, coll26 == coll6.zip(\n coll29.zip(coll19).map({(tuple30: (Long, Long)) => tuple30._2 - tuple30._1 })\n ).map({(tuple30: (Long, Long)) => tuple30._1 + tuple30._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l25 == l13 + l20, coll26 == coll6.zip(coll19).map({(tuple28: (Long, Long)) => tuple28._1 + tuple28._2 })))\n }, box21.R6[AvlTree].get.digest == if (bool24) { avlTree11.update(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get } else {\n avlTree11.insert(Coll[(Coll[Byte], Coll[Byte])]((coll17, coll18)), coll27).get\n }.digest, box15.tokens(placeholder[Int](64))._1 == coll12(placeholder[Int](65)).get.slice(placeholder[Int](66), placeholder[Int](67))\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0c918fc299d1e201d2157ffc8a994d33eb0663324782458c10a88f0678914547",
"index": 0,
"amount": 1,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 1,
"amount": 10000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "110480d98e878962c801c80100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684842600000,100,100,0]"
},
"R6": {
"serializedValue": "6411190d67f49b05401ee26bf3fdb5810d4dde7ddc86a5eca1e5c4d57f7f0390d001072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "74fcc1a9275596ca544f094b87170b7921c990effd03569793fc08cb80a3ccec",
"mainChain": true
},
{
"boxId": "1a2dabc44d1ef53ecb0329ba1bc25170e082449fd0b7f63b9985ab2a57ab2769",
"transactionId": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"value": 1000000,
"index": 3,
"globalIndex": 29369214,
"creationHeight": 1009887,
"settlementHeight": 1009889,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "e6fe14036723adcdbf1d86e70100cef4584eab70fa230dd3e1441e803402dc0d",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "c726b512889526baf4ab9bf014988126a8c72d652df71f93a9e9dda88c0d16e4",
"mainChain": true
},
{
"boxId": "361d0bdaf57405d5014c3300e81dda8e2922cff3e5e4a11d779445c0e8100b7f",
"transactionId": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"value": 1000000,
"index": 4,
"globalIndex": 29369215,
"creationHeight": 1009887,
"settlementHeight": 1009889,
"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": "669567582dfb12e0da92611810163cf05bf1bbf1b9c01d202dc24cefd31bc103",
"mainChain": true
},
{
"boxId": "4e87f7da29d1a816fbfd860e9a3de9e0ed2e95df03ad078aebdf244fa4fe6831",
"transactionId": "5eaedbbcfe425f1be2f37750cfb294c57298bbe8c565f8f84ac617b890f15ef0",
"blockId": "eba5b2fe14d1383ba86d721fb03bbd3d296e6463e586a5e70dd2fc090e95e411",
"value": 1000000,
"index": 5,
"globalIndex": 29369216,
"creationHeight": 1009887,
"settlementHeight": 1009889,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [
{
"tokenId": "5304a3ad1564b1089fe71ad7853ca3f7d30898e3d888b9602dc87c3927a05909",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e3cb89011738127f98fbe72ce0751d2dcd35f039b4a8a35c4952a6cfbe70067f",
"mainChain": true
}
],
"size": 8206,
"isUnconfirmed": false
}