Transaction
ID: 928ff7f92e...6ee7
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.000998 ERG
Transaction Details
Confirmations: 680,589
Total coins transferred: 0.004 ERG
Fees: 0.001002 ERG
Fees per byte: 0.000000268 ERG
Raw Transaction Data
{
"id": "928ff7f92e24f50cab7fa36c35d867ad829cd06038c4cd6e897ff2d81dff6ee7",
"blockId": "d4a586400ec002b0a3143766b995c1b4cc93b66fa305f886527a7f3454762415",
"inclusionHeight": 1079473,
"timestamp": 1693306872618,
"index": 1,
"globalIndex": 5743248,
"numConfirmations": 680589,
"inputs": [
{
"boxId": "4570a82053ec98ee455c26ce55fdc78590246138a65da173bf96055afa4da36f",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7e791b381fdb9937d81d86055e9aa19d8d8350e48750ef85fa593afd4dbd1b26",
"outputTransactionId": "4b0e2b2890e7fd7e0f0bb317ba2f80f5425e2fa828a7816f9db4ad3ed12dc173",
"outputIndex": 1,
"outputGlobalIndex": 32119320,
"outputCreatedAt": 1078079,
"outputSettledAt": 1078082,
"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"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020401",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,-1]"
},
"R5": {
"serializedValue": "1104eea9f58ec862000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1693306497655,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0d4e6f74696669636174696f6e73",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e6f74696669636174696f6e73"
}
}
}
],
"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
}
}
},
{
"boxId": "135a5c98641dc445f6dd32c79cd958d09392615ea8c2701041c4573ea49a8abe",
"value": 2000000,
"index": 1,
"outputBlockId": "cfe025954d7abbfe3581aa8c996424b36b09a44c9e27d8111a9209839ed23146",
"outputTransactionId": "4d6c155489c63849587fe97d7a07fef667b9b20c13eb0489436a9bb45e4e67dd",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110780dcdfa0bd6280c7bbf589010608808cd3a49101a0cda3850200",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1691848800000,18511000000,3,4,19500000000,273970000,0]"
},
"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
}
}
}
],
"outputs": [
{
"boxId": "e3977b3b7706cc68687be90e3399af6882e3db7bbaa2401a58d83fee9c2fc731",
"transactionId": "928ff7f92e24f50cab7fa36c35d867ad829cd06038c4cd6e897ff2d81dff6ee7",
"blockId": "d4a586400ec002b0a3143766b995c1b4cc93b66fa305f886527a7f3454762415",
"value": 1000000,
"index": 0,
"globalIndex": 32169132,
"creationHeight": 1079471,
"settlementHeight": 1079473,
"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": "10020403",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,-2]"
},
"R5": {
"serializedValue": "1104eea9f58ec862000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1693306497655,0,0,0]"
},
"R6": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R7": {
"serializedValue": "0e0d4e6f74696669636174696f6e73",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e6f74696669636174696f6e73"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "e219e70ede3aa40ec090fb176f73c2c18146f2ef446d748634bd307e10be63e2",
"transactionId": "928ff7f92e24f50cab7fa36c35d867ad829cd06038c4cd6e897ff2d81dff6ee7",
"blockId": "d4a586400ec002b0a3143766b995c1b4cc93b66fa305f886527a7f3454762415",
"value": 1000000,
"index": 1,
"globalIndex": 32169133,
"creationHeight": 1079471,
"settlementHeight": 1079473,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-57,-59,55,-26,-58,53,-109,14,-53,74,-50,-107,-91,73,38,-77,-85,119,105,-115,-97,73,34,-16,-79,-59,-114,-88,113,86,72,59)\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(-2,33,-71,115,-52,-76,-39,31,40,-117,28,91,58,79,109,-98,12,82,-10,-79,99,-61,-121,-94,55,14,-76,-7,-76,0,26,62)\n4: Coll(-72,-61,44,11,-98,66,-52,-122,-48,48,-78,97,-114,90,6,-64,-46,-21,43,-96,100,31,9,6,-123,-71,-123,-19,-85,16,-107,111)\n5: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n6: 2\n7: 1\n8: 0\n9: 0\n10: 0\n11: 1\n12: 33\n13: 0\n14: 4\n15: 0\n16: Coll(0,109,11,84,102,-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)\n17: 0\n18: 2\n19: 4\n20: 1\n21: 1\n22: 33\n23: 1000000\n24: 100\n25: 3\n26: 6\n27: 38\n28: 0\n29: 6\n30: 37\n31: 6\n32: 37\n33: 5\n34: 6\n35: 37\n36: 1\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 100",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val coll2 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](1), placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val b3 = coll2(placeholder[Int](6)).get(placeholder[Int](7))\n val box4 = OUTPUTS(placeholder[Int](8))\n val box5 = INPUTS(placeholder[Int](9))\n val box6 = OUTPUTS.filter(\n {(box6: Box) => blake2b256(box6.propositionBytes) == coll2(placeholder[Int](10)).get.slice(placeholder[Int](11), placeholder[Int](12)) }\n )(placeholder[Int](13))\n val coll7 = coll2(placeholder[Int](14)).get\n sigmaProp(\n (box1.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)) && if (b3.toInt <= placeholder[Int](17)) {\n OUTPUTS.size == placeholder[Int](18)\n } else {(\n val l8 = box4.value - box5.value\n val l9 = b3.toLong\n allOf(\n Coll[Boolean](\n OUTPUTS.size == placeholder[Int](19), blake2b256(box4.propositionBytes) == coll2(placeholder[Int](20)).get.slice(\n placeholder[Int](21), placeholder[Int](22)\n ), l8 + box6.value - placeholder[Long](23) * l9 / placeholder[Long](24) == l8, Coll[Coll[Byte]](\n coll2(placeholder[Int](25)).get.slice(placeholder[Int](26), placeholder[Int](27))\n ).append(\n coll7.slice(placeholder[Int](28), coll7.size - placeholder[Int](29) / placeholder[Int](30)).indices.map(\n {(i10: Int) =>\n coll7.slice(\n placeholder[Int](31) + placeholder[Int](32) * i10 + placeholder[Int](33), placeholder[Int](34) + placeholder[Int](35) * i10 + placeholder[\n Int\n ](36)\n )\n }\n )\n ).forall({(coll10: Coll[Byte]) =>\n val l12 = box4.tokens.fold(placeholder[Long](37), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](38) }\n }) - box5.tokens.fold(placeholder[Long](39), {(tuple12: (Long, (Coll[Byte], Long))) =>\n val tuple14 = tuple12._2\n tuple12._1 + if (tuple14._1 == coll10) { tuple14._2 } else { placeholder[Long](40) }\n })\n l12 + box6.tokens.fold(placeholder[Long](41), {(tuple13: (Long, (Coll[Byte], Long))) =>\n val tuple15 = tuple13._2\n tuple13._1 + if (tuple15._1 == coll10) { tuple15._2 } else { placeholder[Long](42) }\n }) * l9 / placeholder[Long](43) == l12\n })\n )\n )\n )}\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 0,
"amount": 10000000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "57fc0e20b437068e2799d0d80894c4ade28bf604c919be35670901219ea91596",
"mainChain": true
},
{
"boxId": "4af7ef6f63a0488f7de7897a6f94d7c15781066288ae55961ad32277a9b23c1d",
"transactionId": "928ff7f92e24f50cab7fa36c35d867ad829cd06038c4cd6e897ff2d81dff6ee7",
"blockId": "d4a586400ec002b0a3143766b995c1b4cc93b66fa305f886527a7f3454762415",
"value": 1002000,
"index": 2,
"globalIndex": 32169134,
"creationHeight": 1079471,
"settlementHeight": 1079473,
"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": "8bced4c12399fe637df1df03ff90caa86d26280355df299a2ea7c237b45ea7d6",
"mainChain": true
},
{
"boxId": "5f84f4a3b3403012df3a4e5c4799339a9ae27523e10a9587be0a6977a3c62166",
"transactionId": "928ff7f92e24f50cab7fa36c35d867ad829cd06038c4cd6e897ff2d81dff6ee7",
"blockId": "d4a586400ec002b0a3143766b995c1b4cc93b66fa305f886527a7f3454762415",
"value": 998000,
"index": 3,
"globalIndex": 32169135,
"creationHeight": 1079471,
"settlementHeight": 1079473,
"ergoTree": "0008cd038ab10c7cc70d48045d2ff05b2f711f38f2e5cf9df6f57674e2d84af683cc4ba9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8ab10c,1abc8e,...)))}",
"address": "9hWtP7kQC7QTC3o5qo7WtGB4CxeCGHftoRjPLZ56UeHHBWBudvK",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "ba3f5c6803d59d9482e3e15e09c17cf4f00afd4002a4b8808f239331a90c136a",
"mainChain": true
}
],
"size": 3732,
"isUnconfirmed": false
}