Transaction
ID: 8e6349fc7c...1dc2
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01325 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:
0.01325 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:
0.00196004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00003996 ERG
Tokens:
0
Transaction Details
Confirmations: 620,101
Total coins transferred: 0.02125 ERG
Fees: 0.00196004 ERG
Fees per byte: 0.000000217 ERG
Raw Transaction Data
{
"id": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"inclusionHeight": 1138992,
"timestamp": 1700520786226,
"index": 6,
"globalIndex": 6149091,
"numConfirmations": 620101,
"inputs": [
{
"boxId": "7034780a70e03283c2bab8c897b97a43cfe20c4a36dc831bd3b5210875a37567",
"value": 13250000,
"index": 0,
"spendingProof": null,
"outputBlockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"outputTransactionId": "6f098986258e590ddfb243fad8a7f6bf97c2c5ac8e3f278c803cd7620a3da609",
"outputIndex": 0,
"outputGlobalIndex": 34440983,
"outputCreatedAt": 1138990,
"outputSettledAt": 1138992,
"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(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)\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": "00ad20adc989005bb7c79afa64bad214da89c7e627dcb3d5d43580500f08ac28",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 107680302028,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780a49495fe62a4e8faa8d2012e06eaeae0c4391218",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1700560800000,28228672018,23,3,7722506933,9,12]"
},
"R6": {
"serializedValue": "1d0502808b94d5cc01c0f4b8dace01020000020000021414021414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[27469710016,27743690016],[0,0],[0,0],[10,10],[10,10]]"
},
"R8": {
"serializedValue": "1102c698a58502a4c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273983011,250002]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720001b2abbadc412453553274889bb8632e826c4db9eda650f832fc72ec11e5a9dfa050720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402527fff15d1142a3ed9a8db89ee9616367ca6fac9e2dee41403bae93a6302170a050720002912a4b94d4ca5aff95f8ee1cb7f0bad18943f2d40ed9b7dc7ac2254f9dcdee202072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "10406dca8c6e74dd27ce446555d629c4e039f296735f32f548f88d6d8fdd1c8a",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"outputTransactionId": "6f098986258e590ddfb243fad8a7f6bf97c2c5ac8e3f278c803cd7620a3da609",
"outputIndex": 1,
"outputGlobalIndex": 34440984,
"outputCreatedAt": 1138990,
"outputSettledAt": 1138992,
"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(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)",
"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[Long]].get == box8.R8[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": "c9d3efa146691ae249967b09b263d182bf7fc32d3abdcdc1c03d67dea71a92fe",
"value": 4000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "77140941c113ced81526601866de7fdf9413ece0233e13f6168710d9bd52a145",
"outputTransactionId": "f617832ea141eddeb9ad69831208c126d0def9e1b97b834f31d23182548434a2",
"outputIndex": 2,
"outputGlobalIndex": 34440007,
"outputCreatedAt": 1138957,
"outputSettledAt": 1138959,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n3: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n4: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n5: 2\n6: 6\n7: 38\n8: 2\n9: 1\n10: 0\n11: 0\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3000000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 9\n36: 1000\n37: 1\n38: 1\n39: 9\n40: 1000\n41: -2\n42: 1\n43: 1\n44: 33\n45: 1000000\n46: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n47: 1\n48: 0\n49: 1\n50: 9\n51: 0\n52: 3\n53: 0\n54: 0\n55: 8\n56: 8\n57: 1\n58: 8\n59: 0\n60: 2\n61: 1\n62: 2\n63: 0\n64: 8\n65: 16\n66: 0\n67: 0\n68: 8\n69: 8\n70: 1\n71: 8\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll6 = coll5(placeholder[Int](5)).get.slice(placeholder[Int](6), placeholder[Int](7))\n val coll7 = SELF.R5[Coll[Long]].get\n val coll8 = coll7.slice(placeholder[Int](8), coll7.size)\n val opt9 = getVar[(Int, Long)](4.toByte)\n val tuple10 = opt9.get\n val i11 = tuple10._1\n val l12 = tuple10._2\n val avlTree13 = SELF.R6[AvlTree].get\n val l14 = coll7(placeholder[Int](9))\n val l15 = coll7(placeholder[Int](10))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](11))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll4(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box16 = coll1(placeholder[Int](16))\n val box17 = coll1(placeholder[Int](17))\n val box18 = OUTPUTS(placeholder[Int](18))\n val coll19 = SELF.tokens\n val coll20 = box18.R4[Coll[Int]].get\n val opt21 = opt9\n val tuple22 = tuple10\n val box23 = OUTPUTS(placeholder[Int](19))\n val coll24 = box17.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple25 = box23.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box16.tokens(placeholder[Int](23))._1 == coll6, box17.tokens(placeholder[Int](24))._1 == coll3, (\n coll8.indices.forall({(i26: Int) => if (i26 == i11) { coll8(i26) == l12 } else { coll8(i26) <= l12 } }) && (coll8.size > i11)\n ) && (i11 >= placeholder[Int](25)), allOf(\n Coll[Boolean](\n box18.propositionBytes == SELF.propositionBytes, box18.value >= SELF.value - placeholder[Long](26), box18.tokens(\n placeholder[Int](27)\n ) == coll19(placeholder[Int](28)), coll20(placeholder[Int](29)) == coll4(placeholder[Int](30)), box18.R5[Coll[Long]].get == coll7, box18.R6[\n AvlTree\n ].get == avlTree13, coll20(placeholder[Int](31)) == if ((\n l14 > box16.R5[Coll[Long]].get(placeholder[Int](32)) * byteArrayToLong(\n coll5(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n ) / placeholder[Long](36)\n ) && \n val l26 = l12\n l26 > l14 * byteArrayToLong(coll5(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))) / placeholder[Long](40)\n ) { i11 } else { placeholder[Int](41) }\n )\n ), CONTEXT.preHeader.timestamp > l15, allOf(\n Coll[Boolean](\n blake2b256(box23.propositionBytes) == coll24(placeholder[Int](42)).get.slice(\n placeholder[Int](43), placeholder[Int](44)\n ), box23.value >= placeholder[Long](45), tuple25._1 == placeholder[Coll[Byte]](46), tuple25._2 >= min(\n coll19(placeholder[Int](47))._2, byteArrayToLong(coll24(placeholder[Int](48)).get.slice(placeholder[Int](49), placeholder[Int](50)))\n )\n )\n )\n )\n )\n )} else {(\n val box16 = INPUTS(placeholder[Int](51))\n val box17 = INPUTS(placeholder[Int](52))\n val coll18 = box17.tokens(placeholder[Int](53))._1\n val coll19 = box17.R5[Coll[Byte]].get\n val coll20 = coll19.indices.slice(placeholder[Int](54), coll19.size / placeholder[Int](55)).map(\n {(i20: Int) => byteArrayToLong(coll19.slice(i20 * placeholder[Int](56), i20 + placeholder[Int](57) * placeholder[Int](58))) }\n )\n val l21 = coll20.fold(placeholder[Long](59), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 })\n val box22 = OUTPUTS(placeholder[Int](60))\n val coll23 = box22.R5[Coll[Long]].get\n val opt24 = avlTree13.get(coll18, getVar[Coll[Byte]](1.toByte).get)\n val bool25 = opt24.isDefined\n val l26 = coll23(placeholder[Int](61))\n val coll27 = coll23.slice(placeholder[Int](62), coll23.size)\n val coll28 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box16.R4[Coll[AvlTree]].get(placeholder[Int](63)).get(coll18, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](64), placeholder[Int](65)\n )\n ) >= l21, box22.propositionBytes == SELF.propositionBytes, box22.value >= SELF.value, box22.tokens == SELF.tokens, box22.R4[\n Coll[Int]\n ].get == coll4, coll23(placeholder[Int](66)) == l15, if (bool25) {(\n val coll29 = opt24.get\n val coll30 = coll29.indices.slice(placeholder[Int](67), coll29.size / placeholder[Int](68)).map(\n {(i30: Int) => byteArrayToLong(coll29.slice(i30 * placeholder[Int](69), i30 + placeholder[Int](70) * placeholder[Int](71))) }\n )\n allOf(\n Coll[Boolean](\n l26 == l14 - coll30.fold(placeholder[Long](72), {(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 }) + l21, coll27 == coll8.zip(\n coll30.zip(coll20).map({(tuple31: (Long, Long)) => tuple31._2 - tuple31._1 })\n ).map({(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l26 == l14 + l21, coll27 == coll8.zip(coll20).map({(tuple29: (Long, Long)) => tuple29._1 + tuple29._2 })))\n }, box22.R6[AvlTree].get.digest == if (bool25) { avlTree13.update(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get } else {\n avlTree13.insert(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get\n }.digest, box16.tokens(placeholder[Int](73))._1 == coll6, coll23 != coll7\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00a4d9412d43e490695f6f937d685ee56769aadbab982f400129abec5227c324",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10022a01",
"sigmaType": "Coll[SInt]",
"renderedValue": "[21,-1]"
},
"R5": {
"serializedValue": "1104e2ad8dfd8063eae1e6c33900eae1e6c339",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1700938230641,7721506933,0,7721506933]"
},
"R6": {
"serializedValue": "640cf3a77b5426dd61d1825bf42f3a33982ed76ff87b8d8a301ac902ab4231886d02072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e1857656c636f6d6520746f2050616964656961204265746121",
"sigmaType": "Coll[SByte]",
"renderedValue": "57656c636f6d6520746f2050616964656961204265746121"
}
}
},
{
"boxId": "394636c2de79021d8d5ea34f6c79d509d771002df7119267828cec4624402489",
"value": 3000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"outputTransactionId": "b7177b0cc2a586122ae1a13713a1d0fb0d20bf1970b0abbc18f26d4724ecaf06",
"outputIndex": 0,
"outputGlobalIndex": 34440989,
"outputCreatedAt": 1138990,
"outputSettledAt": 1138992,
"ergoTree": "100b040004000580897a043c0406040404000400040004000e2000a4d9412d43e490695f6f937d685ee56769aadbab982f400129abec5227c324d19593c5b2a4730000c5a7d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d802d601b2a5730400d602b2a4730500968302019683020193b2db63087201730600b2db6308a773070093c27201e4c6a7060e9683020193b2e4c672020410730800e4c6a70404938cb2db6308720273090001730a",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 3\n5: 2\n6: 0\n7: 0\n8: 0\n9: 0\n10: Coll(0,-92,-39,65,45,67,-28,-112,105,95,111,-109,125,104,94,-27,103,105,-86,-37,-85,-104,47,64,1,41,-85,-20,82,39,-61,36)",
"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": "9Uw9EcVR9bTZiBnKeqMaR3kRuEpe18BPe7a3WrT9Ht9ugLJzKweht4zSZTgeoXehqrUpjRgHj2vELNGruCbwniWHhgj3FpJzf8ReMD9czG8rpezXFw6ZD5xv269N4z2AS4uGhEW2JVgCFPPfAn3CfoR9fHVHM7pTewwRHtkQTexXk7uPc7eH7QsV4vVYrrPxRdBGyLPuVZf26qJQGgi5Fe3NpvJPRbue1tXUzSQGUT4YvHVvd8iSZmP7PmSrAG1tuUuVVeDZdpFgnxS8id7PWsfXipphs4hhL6aJ1",
"assets": [
{
"tokenId": "759942e0d2a2f3e1eed24f06b0ef142b2a214b0aa6e6fcc57e10d1656cf9e5b8",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "042a",
"sigmaType": "SInt",
"renderedValue": "21"
},
"R5": {
"serializedValue": "0e1000000000000000000000000000989680",
"sigmaType": "Coll[SByte]",
"renderedValue": "00000000000000000000000000989680"
},
"R6": {
"serializedValue": "0e240008cd02cc096f2479bc3a7e65298bbca8aea45dc8e1a9ad33f4329fee05ce2e46273db0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02cc096f2479bc3a7e65298bbca8aea45dc8e1a9ad33f4329fee05ce2e46273db0"
}
}
}
],
"dataInputs": [
{
"boxId": "8bc89854360edb452240d4ab38853f3ffaebc323b7d2070f021bbdcf45752c66",
"value": 1000000,
"index": 0,
"outputBlockId": "b0105a39412e78bb35838fb5b17683f3762fb49689c67425cd2d57393a4094ba",
"outputTransactionId": "6a4f87672bda701ef1a6a0fe0881a456fa1c4b7d344227f12c78b7a91fe6d3ed",
"outputIndex": 0,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20008a3b597bd494557adf7d0d0a3b6ba32f935cf52f83f46a6b1233333a487a510100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCuknDpV3PzizoM2efhYNFH3o7uHxSjqDTXCRdcV2F4vMAbtG8fxGWK9ZxWniTZ6GFE5mT7DEpU6W6piUfh32UkeqxrkxS1Gb6KitQDAbSnrTwCceBFbSkmGRLmPxi26PrzREXVVz4UnXjm1xmFrng6vu6NtPvPfEzz1a4asj856HV8Pq1mMx3UgNfeA",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "64fd2ba70089c48fc922319185d1bd7fc24258572e3820792ef2d5013dbfc2cac908072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "1cd14db0cf61c0a351a6fa8a6a9d72a5c0a509c270a475fc5843b6b024a8a86e",
"transactionId": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"value": 13250000,
"index": 0,
"globalIndex": 34441007,
"creationHeight": 1138990,
"settlementHeight": 1138992,
"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(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)\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": "00ad20adc989005bb7c79afa64bad214da89c7e627dcb3d5d43580500f08ac28",
"index": 0,
"amount": 1,
"name": "Paideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 107680302028,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780a49495fe62a4e8faa8d2012e08eac4a5ce391218",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1700560800000,28228672018,23,4,7732506933,9,12]"
},
"R6": {
"serializedValue": "1d0502808b94d5cc01c0f4b8dace01020000020000021414021414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[27469710016,27743690016],[0,0],[0,0],[10,10],[10,10]]"
},
"R8": {
"serializedValue": "1102c698a58502a4c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273983011,250002]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720001b2abbadc412453553274889bb8632e826c4db9eda650f832fc72ec11e5a9dfa050720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402292ac535c9bf9c7fea288b1a752f04487367f14ab300fb79d07f39a4ff671a90050720006da4ae1a763cb91ba13ee67b68b600e2b4b68e613471b0178e44a2629e45ca8603072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "9017a8f381e6fef29dcae891694021fbe2e37c3be854e5620a135afe367f251e",
"mainChain": true
},
{
"boxId": "17607910d97da3792685f077a3335b589bc5253139e127f13cf75b8b66f35faf",
"transactionId": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"value": 1000000,
"index": 1,
"globalIndex": 34441008,
"creationHeight": 1138990,
"settlementHeight": 1138992,
"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(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)",
"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[Long]].get == box8.R8[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": "3bf939d541377e58bf510ace697b49449cbfcc94717f1609735b9f089b09cba0",
"mainChain": true
},
{
"boxId": "7aa6281f09eb503f37a6f567b9ad58e61f2e865a115551248489e9b25506d86a",
"transactionId": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"value": 4000000,
"index": 2,
"globalIndex": 34441009,
"creationHeight": 1138990,
"settlementHeight": 1138992,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 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)\n2: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n3: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n4: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n5: 2\n6: 6\n7: 38\n8: 2\n9: 1\n10: 0\n11: 0\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3000000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 9\n36: 1000\n37: 1\n38: 1\n39: 9\n40: 1000\n41: -2\n42: 1\n43: 1\n44: 33\n45: 1000000\n46: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n47: 1\n48: 0\n49: 1\n50: 9\n51: 0\n52: 3\n53: 0\n54: 0\n55: 8\n56: 8\n57: 1\n58: 8\n59: 0\n60: 2\n61: 1\n62: 2\n63: 0\n64: 8\n65: 16\n66: 0\n67: 0\n68: 8\n69: 8\n70: 1\n71: 8\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll6 = coll5(placeholder[Int](5)).get.slice(placeholder[Int](6), placeholder[Int](7))\n val coll7 = SELF.R5[Coll[Long]].get\n val coll8 = coll7.slice(placeholder[Int](8), coll7.size)\n val opt9 = getVar[(Int, Long)](4.toByte)\n val tuple10 = opt9.get\n val i11 = tuple10._1\n val l12 = tuple10._2\n val avlTree13 = SELF.R6[AvlTree].get\n val l14 = coll7(placeholder[Int](9))\n val l15 = coll7(placeholder[Int](10))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](11))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll4(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box16 = coll1(placeholder[Int](16))\n val box17 = coll1(placeholder[Int](17))\n val box18 = OUTPUTS(placeholder[Int](18))\n val coll19 = SELF.tokens\n val coll20 = box18.R4[Coll[Int]].get\n val opt21 = opt9\n val tuple22 = tuple10\n val box23 = OUTPUTS(placeholder[Int](19))\n val coll24 = box17.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple25 = box23.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box16.tokens(placeholder[Int](23))._1 == coll6, box17.tokens(placeholder[Int](24))._1 == coll3, (\n coll8.indices.forall({(i26: Int) => if (i26 == i11) { coll8(i26) == l12 } else { coll8(i26) <= l12 } }) && (coll8.size > i11)\n ) && (i11 >= placeholder[Int](25)), allOf(\n Coll[Boolean](\n box18.propositionBytes == SELF.propositionBytes, box18.value >= SELF.value - placeholder[Long](26), box18.tokens(\n placeholder[Int](27)\n ) == coll19(placeholder[Int](28)), coll20(placeholder[Int](29)) == coll4(placeholder[Int](30)), box18.R5[Coll[Long]].get == coll7, box18.R6[\n AvlTree\n ].get == avlTree13, coll20(placeholder[Int](31)) == if ((\n l14 > box16.R5[Coll[Long]].get(placeholder[Int](32)) * byteArrayToLong(\n coll5(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n ) / placeholder[Long](36)\n ) && \n val l26 = l12\n l26 > l14 * byteArrayToLong(coll5(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))) / placeholder[Long](40)\n ) { i11 } else { placeholder[Int](41) }\n )\n ), CONTEXT.preHeader.timestamp > l15, allOf(\n Coll[Boolean](\n blake2b256(box23.propositionBytes) == coll24(placeholder[Int](42)).get.slice(\n placeholder[Int](43), placeholder[Int](44)\n ), box23.value >= placeholder[Long](45), tuple25._1 == placeholder[Coll[Byte]](46), tuple25._2 >= min(\n coll19(placeholder[Int](47))._2, byteArrayToLong(coll24(placeholder[Int](48)).get.slice(placeholder[Int](49), placeholder[Int](50)))\n )\n )\n )\n )\n )\n )} else {(\n val box16 = INPUTS(placeholder[Int](51))\n val box17 = INPUTS(placeholder[Int](52))\n val coll18 = box17.tokens(placeholder[Int](53))._1\n val coll19 = box17.R5[Coll[Byte]].get\n val coll20 = coll19.indices.slice(placeholder[Int](54), coll19.size / placeholder[Int](55)).map(\n {(i20: Int) => byteArrayToLong(coll19.slice(i20 * placeholder[Int](56), i20 + placeholder[Int](57) * placeholder[Int](58))) }\n )\n val l21 = coll20.fold(placeholder[Long](59), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 })\n val box22 = OUTPUTS(placeholder[Int](60))\n val coll23 = box22.R5[Coll[Long]].get\n val opt24 = avlTree13.get(coll18, getVar[Coll[Byte]](1.toByte).get)\n val bool25 = opt24.isDefined\n val l26 = coll23(placeholder[Int](61))\n val coll27 = coll23.slice(placeholder[Int](62), coll23.size)\n val coll28 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box16.R4[Coll[AvlTree]].get(placeholder[Int](63)).get(coll18, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](64), placeholder[Int](65)\n )\n ) >= l21, box22.propositionBytes == SELF.propositionBytes, box22.value >= SELF.value, box22.tokens == SELF.tokens, box22.R4[\n Coll[Int]\n ].get == coll4, coll23(placeholder[Int](66)) == l15, if (bool25) {(\n val coll29 = opt24.get\n val coll30 = coll29.indices.slice(placeholder[Int](67), coll29.size / placeholder[Int](68)).map(\n {(i30: Int) => byteArrayToLong(coll29.slice(i30 * placeholder[Int](69), i30 + placeholder[Int](70) * placeholder[Int](71))) }\n )\n allOf(\n Coll[Boolean](\n l26 == l14 - coll30.fold(placeholder[Long](72), {(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 }) + l21, coll27 == coll8.zip(\n coll30.zip(coll20).map({(tuple31: (Long, Long)) => tuple31._2 - tuple31._1 })\n ).map({(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l26 == l14 + l21, coll27 == coll8.zip(coll20).map({(tuple29: (Long, Long)) => tuple29._1 + tuple29._2 })))\n }, box22.R6[AvlTree].get.digest == if (bool25) { avlTree13.update(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get } else {\n avlTree13.insert(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get\n }.digest, box16.tokens(placeholder[Int](73))._1 == coll6, coll23 != coll7\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00a4d9412d43e490695f6f937d685ee56769aadbab982f400129abec5227c324",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10022a01",
"sigmaType": "Coll[SInt]",
"renderedValue": "[21,-1]"
},
"R5": {
"serializedValue": "1104e2ad8dfd8063eabbabcd3900eabbabcd39",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1700938230641,7731506933,0,7731506933]"
},
"R6": {
"serializedValue": "649574f2699afb783619f74f4e063d864e8107d6ee6ab13bfbc943427a82f2d8a902072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e1857656c636f6d6520746f2050616964656961204265746121",
"sigmaType": "Coll[SByte]",
"renderedValue": "57656c636f6d6520746f2050616964656961204265746121"
}
},
"spentTransactionId": "0dcabfc6164de3d4483ad0cd4d58be2a35ae7501dfdbfa58432e0b7d77b83f99",
"mainChain": true
},
{
"boxId": "75e31866d8a9ce5f2a5e9e06c2867ce68f4bb45c5bb459bf4212548c1b326fbb",
"transactionId": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"value": 1000000,
"index": 3,
"globalIndex": 34441010,
"creationHeight": 1138990,
"settlementHeight": 1138992,
"ergoTree": "0008cd02cc096f2479bc3a7e65298bbca8aea45dc8e1a9ad33f4329fee05ce2e46273db0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cc096f,b444b3,...)))}",
"address": "9g4vMyvodSZruKn5UbkmuEpVe4UTyqwZr7XhrWv848SHftLiesp",
"assets": [
{
"tokenId": "759942e0d2a2f3e1eed24f06b0ef142b2a214b0aa6e6fcc57e10d1656cf9e5b8",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "aaaffbe2c27ef49f9e14088cc2546076724d5c969940e423efc74b3c38571730",
"mainChain": true
},
{
"boxId": "20903c0f6cfdce99be3f754b5f84560d3f114d7004897f9ab94ee276cb95db55",
"transactionId": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"value": 1960040,
"index": 4,
"globalIndex": 34441011,
"creationHeight": 1138990,
"settlementHeight": 1138992,
"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": "5c7a2b646ff8cfc802c9b51cdb52564282138adf40ec1dfa9fdfd86cf471fe7d",
"mainChain": true
},
{
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"transactionId": "8e6349fc7c4e3073910e09dac04c23e76d32cdcd1e39324e52f9ba5b09b61dc2",
"blockId": "287831ba7a7987b8fce4e80d305f356f7addf2eb3d459b8104b4c2ce97586f7e",
"value": 39960,
"index": 5,
"globalIndex": 34441012,
"creationHeight": 1138990,
"settlementHeight": 1138992,
"ergoTree": "0008cd023812ba777e72f8e606cda4d4faa2288d439a16cd7c462dc12d3e10a317b019e7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3812ba,bc1fbe,...)))}",
"address": "9ewkq1bvnTdmEc7zwmVBxN8rKri8cYNQbgJtMLUxLsFu5AcDCWE",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "f36a8b9ce94ef82f372cb280c2326552dea9b21ae70e89391384ebf8c96f53f3",
"mainChain": true
}
],
"size": 9045,
"isUnconfirmed": false
}