Transaction
ID: a39659ff1f...63b3
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00225 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 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:
0.00225 ERG
Tokens:
Loading assets...
Unspent
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00102099 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00097901 ERG
Tokens:
0
Transaction Details
Confirmations: 682,455
Total coins transferred: 0.00725 ERG
Fees: 0.00102099 ERG
Fees per byte: 0.000000117 ERG
Raw Transaction Data
{
"id": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"inclusionHeight": 1079551,
"timestamp": 1693316281263,
"index": 3,
"globalIndex": 5743886,
"numConfirmations": 682455,
"inputs": [
{
"boxId": "29c18e246d1e4637873d6030a4a1ad85a7158e08da96eab0bcf35c5feb6b153f",
"value": 2250000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e2ed4e9759249793272f33410d6c1be58bf7e79b4e4f19b7ab21c4625298f849",
"outputTransactionId": "57fc0e20b437068e2799d0d80894c4ade28bf604c919be35670901219ea91596",
"outputIndex": 0,
"outputGlobalIndex": 32170102,
"outputCreatedAt": 1079503,
"outputSettledAt": 1079505,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\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": "00371ebfea98f3a9497404892ac43cd7ad45c6258d637af504b4cd6dd43d8afd",
"index": 0,
"amount": 1,
"name": "Paideia Staking State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1018521000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780dcdfa0bd6280c7bbf589010608808cd3a49101a0a7e88e02a0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1691848800000,18511000000,3,4,19500000000,283970000,250000]"
},
"R6": {
"serializedValue": "1d05020000020000020000021414021414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[10,10],[10,10]]"
},
"R8": {
"serializedValue": "1102a0cda3850200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273970000,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402b20fe895c66f83b3497e1ffd825554b3da1d7edbc21c493100647b5ce35b3f90020720004ec43f6b2169bfdbdc7fe22478ffaccc4a47e7e309a0512bb25e99297b4bd3a402072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "2de03153b8097cc9650b5beaed7163b6103dfb9ca3fe5af529fd61ec20ca6fd0",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "66e494c07affd6e22e5ea97ff995e0ce5531cbd5d8b5e8669601a34ab7de843b",
"outputTransactionId": "3b80f113a47bec6f18bff9a95f40ac38a83bf44450ccc373a87ec931143a5b42",
"outputIndex": 1,
"outputGlobalIndex": 32125339,
"outputCreatedAt": 1078233,
"outputSettledAt": 1078235,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)",
"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": "c88d7337cea0230dfaa168271e35466bcb75c52bbabafa6ad5ac07dec01448b5",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "1b55a0f44cad29fb7c700705592b1652b18e3001f37369788679335ff7b27d2d",
"outputTransactionId": "49d367cdf9c8dc6375e57584ba84044a4af0aae913020093c3325cae644bf43f",
"outputIndex": 0,
"outputGlobalIndex": 32172316,
"outputCreatedAt": 1079541,
"outputSettledAt": 1079543,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\n2: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n3: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n4: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n5: 2\n6: 6\n7: 38\n8: 2\n9: 1\n10: 0\n11: 0\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3000000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 9\n36: 1000\n37: 1\n38: 1\n39: 9\n40: 1000\n41: -2\n42: 1\n43: 1\n44: 33\n45: 1000000\n46: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n47: 1\n48: 0\n49: 1\n50: 9\n51: 0\n52: 3\n53: 0\n54: 0\n55: 8\n56: 8\n57: 1\n58: 8\n59: 0\n60: 2\n61: 1\n62: 2\n63: 0\n64: 8\n65: 16\n66: 0\n67: 0\n68: 8\n69: 8\n70: 1\n71: 8\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll6 = coll5(placeholder[Int](5)).get.slice(placeholder[Int](6), placeholder[Int](7))\n val coll7 = SELF.R5[Coll[Long]].get\n val coll8 = coll7.slice(placeholder[Int](8), coll7.size)\n val opt9 = getVar[(Int, Long)](4.toByte)\n val tuple10 = opt9.get\n val i11 = tuple10._1\n val l12 = tuple10._2\n val avlTree13 = SELF.R6[AvlTree].get\n val l14 = coll7(placeholder[Int](9))\n val l15 = coll7(placeholder[Int](10))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](11))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll4(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box16 = coll1(placeholder[Int](16))\n val box17 = coll1(placeholder[Int](17))\n val box18 = OUTPUTS(placeholder[Int](18))\n val coll19 = SELF.tokens\n val coll20 = box18.R4[Coll[Int]].get\n val opt21 = opt9\n val tuple22 = tuple10\n val box23 = OUTPUTS(placeholder[Int](19))\n val coll24 = box17.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple25 = box23.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box16.tokens(placeholder[Int](23))._1 == coll6, box17.tokens(placeholder[Int](24))._1 == coll3, (\n coll8.indices.forall({(i26: Int) => if (i26 == i11) { coll8(i26) == l12 } else { coll8(i26) <= l12 } }) && (coll8.size > i11)\n ) && (i11 >= placeholder[Int](25)), allOf(\n Coll[Boolean](\n box18.propositionBytes == SELF.propositionBytes, box18.value >= SELF.value - placeholder[Long](26), box18.tokens(\n placeholder[Int](27)\n ) == coll19(placeholder[Int](28)), coll20(placeholder[Int](29)) == coll4(placeholder[Int](30)), box18.R5[Coll[Long]].get == coll7, box18.R6[\n AvlTree\n ].get == avlTree13, coll20(placeholder[Int](31)) == if ((\n l14 > box16.R5[Coll[Long]].get(placeholder[Int](32)) * byteArrayToLong(\n coll5(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n ) / placeholder[Long](36)\n ) && \n val l26 = l12\n l26 > l14 * byteArrayToLong(coll5(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))) / placeholder[Long](40)\n ) { i11 } else { placeholder[Int](41) }\n )\n ), CONTEXT.preHeader.timestamp > l15, allOf(\n Coll[Boolean](\n blake2b256(box23.propositionBytes) == coll24(placeholder[Int](42)).get.slice(\n placeholder[Int](43), placeholder[Int](44)\n ), box23.value >= placeholder[Long](45), tuple25._1 == placeholder[Coll[Byte]](46), tuple25._2 >= min(\n coll19(placeholder[Int](47))._2, byteArrayToLong(coll24(placeholder[Int](48)).get.slice(placeholder[Int](49), placeholder[Int](50)))\n )\n )\n )\n )\n )\n )} else {(\n val box16 = INPUTS(placeholder[Int](51))\n val box17 = INPUTS(placeholder[Int](52))\n val coll18 = box17.tokens(placeholder[Int](53))._1\n val coll19 = box17.R5[Coll[Byte]].get\n val coll20 = coll19.indices.slice(placeholder[Int](54), coll19.size / placeholder[Int](55)).map(\n {(i20: Int) => byteArrayToLong(coll19.slice(i20 * placeholder[Int](56), i20 + placeholder[Int](57) * placeholder[Int](58))) }\n )\n val l21 = coll20.fold(placeholder[Long](59), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 })\n val box22 = OUTPUTS(placeholder[Int](60))\n val coll23 = box22.R5[Coll[Long]].get\n val opt24 = avlTree13.get(coll18, getVar[Coll[Byte]](1.toByte).get)\n val bool25 = opt24.isDefined\n val l26 = coll23(placeholder[Int](61))\n val coll27 = coll23.slice(placeholder[Int](62), coll23.size)\n val coll28 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box16.R4[Coll[AvlTree]].get(placeholder[Int](63)).get(coll18, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](64), placeholder[Int](65)\n )\n ) >= l21, box22.propositionBytes == SELF.propositionBytes, box22.value >= SELF.value, box22.tokens == SELF.tokens, box22.R4[\n Coll[Int]\n ].get == coll4, coll23(placeholder[Int](66)) == l15, if (bool25) {(\n val coll29 = opt24.get\n val coll30 = coll29.indices.slice(placeholder[Int](67), coll29.size / placeholder[Int](68)).map(\n {(i30: Int) => byteArrayToLong(coll29.slice(i30 * placeholder[Int](69), i30 + placeholder[Int](70) * placeholder[Int](71))) }\n )\n allOf(\n Coll[Boolean](\n l26 == l14 - coll30.fold(placeholder[Long](72), {(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 }) + l21, coll27 == coll8.zip(\n coll30.zip(coll20).map({(tuple31: (Long, Long)) => tuple31._2 - tuple31._1 })\n ).map({(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l26 == l14 + l21, coll27 == coll8.zip(coll20).map({(tuple29: (Long, Long)) => tuple29._1 + tuple29._2 })))\n }, box22.R6[AvlTree].get.digest == if (bool25) { avlTree13.update(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get } else {\n avlTree13.insert(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get\n }.digest, box16.tokens(placeholder[Int](73))._1 == coll6, coll23 != coll7\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00167889a067298df32fb5223b28d44ccca4f13a1b2415639bf99e9896c5a4b8",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020600",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,0]"
},
"R5": {
"serializedValue": "110496dfe996c86280acc7f03780acc7f03700",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1693314791371,7500000000,7500000000,0]"
},
"R6": {
"serializedValue": "64517d6dfd285fe4d338d177e8bd4b87498efb6b5218f6ce41d88a26d76de8a60801072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e154e6f74696669636174696f6e732054657374696e67",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e6f74696669636174696f6e732054657374696e67"
}
}
},
{
"boxId": "54b2483b3c4cfcf01bbf5c58fe54498db917a56b232a568e6eea9331ddae7bbb",
"value": 3000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "40dc008da5885b74a6d50ada2ebbd1898495854af26c37afa970cc6b9035cb69",
"outputTransactionId": "620a8ae3c2658e226471fc4b46abe1d7d29c059a7f8f134332441757d7802d0c",
"outputIndex": 0,
"outputGlobalIndex": 32172352,
"outputCreatedAt": 1079542,
"outputSettledAt": 1079544,
"ergoTree": "100b040004000580897a043c0406040404000400040004000e2000167889a067298df32fb5223b28d44ccca4f13a1b2415639bf99e9896c5a4b8d19593c5b2a4730000c5a7d801d601b2a57301009683040192c1720199c1a7730293db63087201db6308a793c27201e4c6a7060e92db6905db6503fe9a8cc7a7017303d802d601b2a5730400d602b2a4730500968302019683020193b2db63087201730600b2db6308a773070093c27201e4c6a7060e9683020193b2e4c672020410730800e4c6a70404938cb2db6308720273090001730a",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 3\n5: 2\n6: 0\n7: 0\n8: 0\n9: 0\n10: Coll(0,22,120,-119,-96,103,41,-115,-13,47,-75,34,59,40,-44,76,-52,-92,-15,58,27,36,21,99,-101,-7,-98,-104,-106,-59,-92,-72)",
"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": "9Uw9EcVR9bTZiBnKeqMaR3kRuEpe18BPe7a3WosPpUAv56wm36w62yNf1ap1GTFKbYjncuf1rApjVvTDnh1rJ6FQWp1mtXdC8v8fbVfkbiqcvndvSN5pSbYHc69pufWJA6FJ4EzrDPWHqNgj49mGmUmSefqpPtRYkCiW9Yh4CoptCNiqiVFfZA9gBX85pdqCN5x2hpnbykbcP9dddGmHa9RnUzfbLy7uNHhh8wArjCLHmVjFNU3ZtznV5YPTevSdZtk4AGQe1C8d4qemTDEAa4jedV4Ayvkiib5TQ",
"assets": [
{
"tokenId": "6d78668fd0ac94c0142a3d6422a27e37023495a8414e4cd48cdb1fbdd2c33a7a",
"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": "0406",
"sigmaType": "SInt",
"renderedValue": "3"
},
"R5": {
"serializedValue": "0e100000000000000000000000003c42a2c0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0000000000000000000000003c42a2c0"
},
"R6": {
"serializedValue": "0e240008cd020ab3ffff5fb07d43af3b80e8c1362fe374f016397f6e59bf73c6afce41a6dedf",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd020ab3ffff5fb07d43af3b80e8c1362fe374f016397f6e59bf73c6afce41a6dedf"
}
}
}
],
"dataInputs": [
{
"boxId": "d99c812d465b4e4b1532e76dc873cc511cca28d053cb88f00f5274d18318ac5e",
"value": 1000000,
"index": 0,
"outputBlockId": "94641fe4a9fb8707e1259c953fd2c36ae8821162fe691e6de335c777f6b90146",
"outputTransactionId": "8817ac52414e8a85c008e8383fe845827768648c3aebf6b32b71baba87451a37",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e200007acd39e28e8ec2d7bb76aca8fb93d92b978efc6905c2f759eb5e5a5f36eac0100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfCjtiaJRngtsxP8jbdtnF4uLx2bERVR5EJNpBBsTw1HwfvvfPkxScVxAbPg3aaVVFk9LJLh2arNZTChHRz2NfFLXtPVHLwSLDsN35xcqGqqNZtNhpiyBp3enb6JWGrHMJ9nPat3KqQsoCSN6Wd7RECpcM8snddUXwPfbpYtEFM2tz1whkqMN465TsdJb",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "6464772b6e7d0aa005cfb899476683f04e01d67c836bc03a41b3e44497a1ca7a8708072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "6969c5c2a09faebecd691760c141776c6bb7faf9e2446d8a1370030cb8f75446",
"transactionId": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"value": 2250000,
"index": 0,
"globalIndex": 32172621,
"creationHeight": 1079546,
"settlementHeight": 1079551,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\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": "00371ebfea98f3a9497404892ac43cd7ad45c6258d637af504b4cd6dd43d8afd",
"index": 0,
"amount": 1,
"name": "Paideia Staking State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1018521000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "110780dcdfa0bd6280c7bbf58901060a8097e8e89801a0a7e88e02a0c21e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1691848800000,18511000000,3,5,20511000000,283970000,250000]"
},
"R6": {
"serializedValue": "1d05020000020000020000021414021414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[10,10],[10,10]]"
},
"R8": {
"serializedValue": "1102a0cda3850200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[273970000,0]"
},
"R7": {
"serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402319eef46df1afb10e88fb2adc5c215a34d564d638495c95d0553efe16b44e285020720001cbf18402767857718049fc40308d958bfb5686cc0c01758c8e82ffa90b0a35402072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "092e2e4526c025e79c972ac8e91791349dc673c2ae4a7be678efb4c2f52b8b8f",
"mainChain": true
},
{
"boxId": "14e9417c55608a14d9414ebc1daa5d8af71e3d0d12cad4a470b91ca55234f068",
"transactionId": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"value": 1000000,
"index": 1,
"globalIndex": 32172622,
"creationHeight": 1079546,
"settlementHeight": 1079551,
"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(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)",
"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": null,
"mainChain": true
},
{
"boxId": "516ee80a783c93d2b8a20ea345ac9a7e364aec0fabf041acf82bd700293bb113",
"transactionId": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"value": 1000000,
"index": 2,
"globalIndex": 32172623,
"creationHeight": 1079546,
"settlementHeight": 1079551,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(0,109,11,84,102,-97,-75,-63,99,9,-65,34,105,-14,-14,-60,-4,4,124,27,97,66,12,-21,-26,71,39,-104,66,-17,103,-13)\n2: Coll(-10,-1,-117,114,16,1,85,69,-44,-77,-84,95,-58,12,-112,-128,-110,-48,53,-95,-95,97,85,-64,41,-24,-43,17,98,124,122,44)\n3: Coll(-81,120,91,10,-35,-128,92,92,49,-15,-52,58,62,-106,-56,-112,8,-3,113,39,50,1,7,-93,120,75,127,73,-23,86,72,66)\n4: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n5: 2\n6: 6\n7: 38\n8: 2\n9: 1\n10: 0\n11: 0\n12: -1\n13: 0\n14: 1\n15: -1\n16: 1\n17: 2\n18: 0\n19: 1\n20: Coll(-11,-111,-114,-76,-80,40,60,102,-101,-35,-118,25,86,64,118,108,25,-28,10,105,58,102,-105,-73,117,-80,-114,9,5,37,35,-44)\n21: Coll(118,124,-86,-128,-71,-114,73,106,-40,-87,-10,-119,-60,65,10,-28,83,50,127,15,-107,-23,80,-124,-64,-82,32,99,80,121,59,119)\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3000000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 1\n33: 0\n34: 1\n35: 9\n36: 1000\n37: 1\n38: 1\n39: 9\n40: 1000\n41: -2\n42: 1\n43: 1\n44: 33\n45: 1000000\n46: Coll(0,64,-82,101,12,78,-41,123,-51,32,57,20,-109,-85,-24,76,26,-101,-75,-114,-24,-114,-121,-15,86,112,-56,1,-30,-4,89,-125)\n47: 1\n48: 0\n49: 1\n50: 9\n51: 0\n52: 3\n53: 0\n54: 0\n55: 8\n56: 8\n57: 1\n58: 8\n59: 0\n60: 2\n61: 1\n62: 2\n63: 0\n64: 8\n65: 16\n66: 0\n67: 0\n68: 8\n69: 8\n70: 1\n71: 8\n72: 0\n73: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = placeholder[Coll[Byte]](1)\n val coll4 = SELF.R4[Coll[Int]].get\n val coll5 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val coll6 = coll5(placeholder[Int](5)).get.slice(placeholder[Int](6), placeholder[Int](7))\n val coll7 = SELF.R5[Coll[Long]].get\n val coll8 = coll7.slice(placeholder[Int](8), coll7.size)\n val opt9 = getVar[(Int, Long)](4.toByte)\n val tuple10 = opt9.get\n val i11 = tuple10._1\n val l12 = tuple10._2\n val avlTree13 = SELF.R6[AvlTree].get\n val l14 = coll7(placeholder[Int](9))\n val l15 = coll7(placeholder[Int](10))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](11))._1 == coll3, if ((INPUTS.indexOf(SELF, placeholder[Int](12)) == placeholder[Int](13)) && (\n coll4(placeholder[Int](14)) == placeholder[Int](15)\n )) {(\n val box16 = coll1(placeholder[Int](16))\n val box17 = coll1(placeholder[Int](17))\n val box18 = OUTPUTS(placeholder[Int](18))\n val coll19 = SELF.tokens\n val coll20 = box18.R4[Coll[Int]].get\n val opt21 = opt9\n val tuple22 = tuple10\n val box23 = OUTPUTS(placeholder[Int](19))\n val coll24 = box17.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](20), placeholder[Coll[Byte]](21)), getVar[Coll[Byte]](1.toByte).get\n )\n val tuple25 = box23.tokens(placeholder[Int](22))\n allOf(\n Coll[Boolean](\n box16.tokens(placeholder[Int](23))._1 == coll6, box17.tokens(placeholder[Int](24))._1 == coll3, (\n coll8.indices.forall({(i26: Int) => if (i26 == i11) { coll8(i26) == l12 } else { coll8(i26) <= l12 } }) && (coll8.size > i11)\n ) && (i11 >= placeholder[Int](25)), allOf(\n Coll[Boolean](\n box18.propositionBytes == SELF.propositionBytes, box18.value >= SELF.value - placeholder[Long](26), box18.tokens(\n placeholder[Int](27)\n ) == coll19(placeholder[Int](28)), coll20(placeholder[Int](29)) == coll4(placeholder[Int](30)), box18.R5[Coll[Long]].get == coll7, box18.R6[\n AvlTree\n ].get == avlTree13, coll20(placeholder[Int](31)) == if ((\n l14 > box16.R5[Coll[Long]].get(placeholder[Int](32)) * byteArrayToLong(\n coll5(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n ) / placeholder[Long](36)\n ) && \n val l26 = l12\n l26 > l14 * byteArrayToLong(coll5(placeholder[Int](37)).get.slice(placeholder[Int](38), placeholder[Int](39))) / placeholder[Long](40)\n ) { i11 } else { placeholder[Int](41) }\n )\n ), CONTEXT.preHeader.timestamp > l15, allOf(\n Coll[Boolean](\n blake2b256(box23.propositionBytes) == coll24(placeholder[Int](42)).get.slice(\n placeholder[Int](43), placeholder[Int](44)\n ), box23.value >= placeholder[Long](45), tuple25._1 == placeholder[Coll[Byte]](46), tuple25._2 >= min(\n coll19(placeholder[Int](47))._2, byteArrayToLong(coll24(placeholder[Int](48)).get.slice(placeholder[Int](49), placeholder[Int](50)))\n )\n )\n )\n )\n )\n )} else {(\n val box16 = INPUTS(placeholder[Int](51))\n val box17 = INPUTS(placeholder[Int](52))\n val coll18 = box17.tokens(placeholder[Int](53))._1\n val coll19 = box17.R5[Coll[Byte]].get\n val coll20 = coll19.indices.slice(placeholder[Int](54), coll19.size / placeholder[Int](55)).map(\n {(i20: Int) => byteArrayToLong(coll19.slice(i20 * placeholder[Int](56), i20 + placeholder[Int](57) * placeholder[Int](58))) }\n )\n val l21 = coll20.fold(placeholder[Long](59), {(tuple21: (Long, Long)) => tuple21._1 + tuple21._2 })\n val box22 = OUTPUTS(placeholder[Int](60))\n val coll23 = box22.R5[Coll[Long]].get\n val opt24 = avlTree13.get(coll18, getVar[Coll[Byte]](1.toByte).get)\n val bool25 = opt24.isDefined\n val l26 = coll23(placeholder[Int](61))\n val coll27 = coll23.slice(placeholder[Int](62), coll23.size)\n val coll28 = getVar[Coll[Byte]](2.toByte).get\n allOf(\n Coll[Boolean](\n byteArrayToLong(\n box16.R4[Coll[AvlTree]].get(placeholder[Int](63)).get(coll18, getVar[Coll[Byte]](3.toByte).get).get.slice(\n placeholder[Int](64), placeholder[Int](65)\n )\n ) >= l21, box22.propositionBytes == SELF.propositionBytes, box22.value >= SELF.value, box22.tokens == SELF.tokens, box22.R4[\n Coll[Int]\n ].get == coll4, coll23(placeholder[Int](66)) == l15, if (bool25) {(\n val coll29 = opt24.get\n val coll30 = coll29.indices.slice(placeholder[Int](67), coll29.size / placeholder[Int](68)).map(\n {(i30: Int) => byteArrayToLong(coll29.slice(i30 * placeholder[Int](69), i30 + placeholder[Int](70) * placeholder[Int](71))) }\n )\n allOf(\n Coll[Boolean](\n l26 == l14 - coll30.fold(placeholder[Long](72), {(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 }) + l21, coll27 == coll8.zip(\n coll30.zip(coll20).map({(tuple31: (Long, Long)) => tuple31._2 - tuple31._1 })\n ).map({(tuple31: (Long, Long)) => tuple31._1 + tuple31._2 })\n )\n )\n )} else {\n allOf(Coll[Boolean](l26 == l14 + l21, coll27 == coll8.zip(coll20).map({(tuple29: (Long, Long)) => tuple29._1 + tuple29._2 })))\n }, box22.R6[AvlTree].get.digest == if (bool25) { avlTree13.update(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get } else {\n avlTree13.insert(Coll[(Coll[Byte], Coll[Byte])]((coll18, coll19)), coll28).get\n }.digest, box16.tokens(placeholder[Int](73))._1 == coll6, coll23 != coll7\n )\n )\n )}\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "00167889a067298df32fb5223b28d44ccca4f13a1b2415639bf99e9896c5a4b8",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020600",
"sigmaType": "Coll[SInt]",
"renderedValue": "[3,0]"
},
"R5": {
"serializedValue": "110496dfe996c86280b7dcb43f80acc7f037808b95c407",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1693314791371,8511000000,7500000000,1011000000]"
},
"R6": {
"serializedValue": "64bafd8f624ac41f519f440bcf6394bf8523b5ee0d0e0b993a3ae342274251ab5002072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e154e6f74696669636174696f6e732054657374696e67",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e6f74696669636174696f6e732054657374696e67"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "4bd1c1b931d14f3b217184cccd575d6613079d2a6a91fe2966f77f57ffe4c5d2",
"transactionId": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"value": 1000000,
"index": 3,
"globalIndex": 32172624,
"creationHeight": 1079546,
"settlementHeight": 1079551,
"ergoTree": "0008cd020ab3ffff5fb07d43af3b80e8c1362fe374f016397f6e59bf73c6afce41a6dedf",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab3fff,2200c8,...)))}",
"address": "9ebmurBJQWeWQghA85AdXzAqdHLCfMoc6nEr7P2tvnJ4afAy67x",
"assets": [
{
"tokenId": "6d78668fd0ac94c0142a3d6422a27e37023495a8414e4cd48cdb1fbdd2c33a7a",
"index": 0,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "95be44d43cf912993ca6a02411a47db2ae94eb9a03b32812ee51d70791e57c6a",
"mainChain": true
},
{
"boxId": "31c423639f59ea76543d2dba7e53e6faab45f65f7081ee1c0d023ee3729da3a4",
"transactionId": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"value": 1020990,
"index": 4,
"globalIndex": 32172625,
"creationHeight": 1079546,
"settlementHeight": 1079551,
"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": "f849ca8b33d66876c30c65174acc50da65b76961204d2d97d29aaacbce8f35ca",
"mainChain": true
},
{
"boxId": "0bac2e3be80d0c83c678c4688b3f0a6d0a94b4b143c3125059bc36ed12261116",
"transactionId": "a39659ff1f9e67383dfc7e00a5e77ce9201db2cd379b1c3c257c119db54d63b3",
"blockId": "ae3f9511270721e291a22ddc6650394b6fa350f700a97fee4324ab97eda52b3b",
"value": 979010,
"index": 5,
"globalIndex": 32172626,
"creationHeight": 1079546,
"settlementHeight": 1079551,
"ergoTree": "0008cd039a7f2eebab84960d86f4ea4e7e0023022a8eae973b2e363ed06b1537b53e4230",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9a7f2e,bf1fe5,...)))}",
"address": "9hdr73koGHqYMBwa3Q18mhgzr69F47omriv2Hhozz71Qg62uVZn",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "8a47351181514fb7b8e8934b0bd9f7ba3f71ef10f8c448efecdcf59154727e06",
"mainChain": true
}
],
"size": 8729,
"isUnconfirmed": false
}