Transaction
ID: cbf2cb4a01...353b
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
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 757,344
Total coins transferred: 0.004 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000268 ERG
Raw Transaction Data
{
"id": "cbf2cb4a0185921dbe256a93b1308a4679498b93594587eafb3462412ae5353b",
"blockId": "83f31bff95b87347351ffcfbbaa66670d6ae911b5f5c14aac925f6cf1a46760e",
"inclusionHeight": 1011323,
"timestamp": 1685015769889,
"index": 7,
"globalIndex": 5263696,
"numConfirmations": 757344,
"inputs": [
{
"boxId": "494d8c548bd03187ea779e4f2db28f9d02acc424433bafed55bdf4b0bbcec616",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "de24b788296aef962377343fb34ca1fb8324b7d1e423dc315a715a4986fbf7c7",
"outputTransactionId": "0a2f380e6261b21d5a46b42041f21a0a75e5f93a0da6460b4ed52de2cefa153c",
"outputIndex": 2,
"outputGlobalIndex": 29429610,
"outputCreatedAt": 1011278,
"outputSettledAt": 1011280,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)\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(64,-47,-23,2,-118,83,-63,101,-1,-33,-3,10,8,11,5,-1,12,-115,-10,-39,90,-91,-108,86,-95,126,-23,-42,-103,51,46,-111)\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": "5ca27a928c70e31b191fd1aee999703f47d0dbf77dd0f52e26bdf837baeb3486",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 1,
"amount": 10000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020001",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,-1]"
},
"R5": {
"serializedValue": "1104c0dad4ab8a6280a8d6b9070080a8d6b907",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685015140000,1000000000,0,1000000000]"
},
"R6": {
"serializedValue": "647047d6edefd1b68c339dc08cd3fa0717cea58d937fb4d73cd80c4f408ea4f95401072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"dataInputs": [
{
"boxId": "3809c3722a4170052e5f95ca905aa4461c99f5958509d3f010e84e6d61ce4889",
"value": 1000000,
"index": 0,
"outputBlockId": "9939496017621d1b5c534dc561edf66fe6056fc69bfdcae22daccce394b5899b",
"outputTransactionId": "3df0d8b77acf869c3eab6fb9956d16f5bd3c1f8aa44a999d67959d76c056aed2",
"outputIndex": 2,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e20893c0624108bbf19fdeb7735b283434775040fbfb264f9154509b2674a7e81300100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfzVRjhLbzhNJkNjcCyiJdRBkRhXf9a9bAL4Q2tuEqk3fB3Y1d3g4VZGpFsXJCZC3tDePdrtYwRwL3aLdmoSPAFeKKq5BqdvutQeZTxZJhNWqYUdz2pJciKgZua1nw3qz8emhBxDsJrRZ1zPe3qnrCYPE3W4h8ddg9FipqcxxwaHSFAcmiZipvJqUyTDt",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "648fa10e15162ba719c2e9ce801f6549a0429ffa57e6b5be0ec15a6410e8f3715107072000",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "661023832941e0cf3dc9c776a0923674fd6b51b55033de815ff4823d8e8d2d51",
"value": 2000000,
"index": 1,
"outputBlockId": "de24b788296aef962377343fb34ca1fb8324b7d1e423dc315a715a4986fbf7c7",
"outputTransactionId": "0a2f380e6261b21d5a46b42041f21a0a75e5f93a0da6460b4ed52de2cefa153c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1107c0baa9af8a62a0f5f9be09020280a8d6b9070000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685018980000,1273970000,1,1,1000000000,0,0]"
},
"R6": {
"serializedValue": "1d050180a8d6b9070100010001140114",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[1000000000],[0],[0],[10],[10]]"
},
"R8": {
"serializedValue": "1d0102a0cda3850200",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[273970000,0]]"
},
"R7": {
"serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c6402d7781d162605be5a694c361de286a7cc82ddade1aeeb7cf75e0d495ce64be7ac010720004e8b69018ea0f2a4e1e5f0490d87b4d85e8cc7d20cdf9c10ebfa28316f693dc601072000",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"outputs": [
{
"boxId": "d4499a4ae77a5eb58ed1679d4b113d6aea23adf807109c0eee0f251974daa93c",
"transactionId": "cbf2cb4a0185921dbe256a93b1308a4679498b93594587eafb3462412ae5353b",
"blockId": "83f31bff95b87347351ffcfbbaa66670d6ae911b5f5c14aac925f6cf1a46760e",
"value": 1000000,
"index": 0,
"globalIndex": 29430437,
"creationHeight": 1011321,
"settlementHeight": 1011323,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)\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(64,-47,-23,2,-118,83,-63,101,-1,-33,-3,10,8,11,5,-1,12,-115,-10,-39,90,-91,-108,86,-95,126,-23,-42,-103,51,46,-111)\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": "5ca27a928c70e31b191fd1aee999703f47d0dbf77dd0f52e26bdf837baeb3486",
"index": 0,
"amount": 1,
"name": "Paideia Proposal",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "10020002",
"sigmaType": "Coll[SInt]",
"renderedValue": "[0,1]"
},
"R5": {
"serializedValue": "1104c0dad4ab8a6280a8d6b9070080a8d6b907",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1685015140000,1000000000,0,1000000000]"
},
"R6": {
"serializedValue": "647047d6edefd1b68c339dc08cd3fa0717cea58d937fb4d73cd80c4f408ea4f95401072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "950e7bf336280e4814d6f743162a82bbfe6bb3404bc3004011824a5770ab072b",
"transactionId": "cbf2cb4a0185921dbe256a93b1308a4679498b93594587eafb3462412ae5353b",
"blockId": "83f31bff95b87347351ffcfbbaa66670d6ae911b5f5c14aac925f6cf1a46760e",
"value": 1000000,
"index": 1,
"globalIndex": 29430438,
"creationHeight": 1011321,
"settlementHeight": 1011323,
"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(21,13,82,112,90,-56,7,-94,121,-25,1,-21,-120,-32,-60,-119,-10,8,16,-47,90,63,65,27,73,125,69,-6,54,-122,-86,-49)\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": "40d1e9028a53c165ffdffd0a080b05ff0c8df6d95aa59456a17ee9d699332e91",
"index": 0,
"amount": 10000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4f9200f535cb9dffaf3862b17b25ce99f9422076b00a1b1d4f6afa69ea8bb3a8",
"mainChain": true
},
{
"boxId": "99aa19d3401c011ce829c773e540963508c2c4abccc40373543acd21f398ea8b",
"transactionId": "cbf2cb4a0185921dbe256a93b1308a4679498b93594587eafb3462412ae5353b",
"blockId": "83f31bff95b87347351ffcfbbaa66670d6ae911b5f5c14aac925f6cf1a46760e",
"value": 1000000,
"index": 2,
"globalIndex": 29430439,
"creationHeight": 1011321,
"settlementHeight": 1011323,
"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": "1cceb185f3715f32a5745d3227b9cf2d28953b5142c4baeaf0ad15f1d52456bc",
"mainChain": true
},
{
"boxId": "1b729259e5dd1bd93e8be95fddce3962f64e699270fdd645d210a1caedac63b3",
"transactionId": "cbf2cb4a0185921dbe256a93b1308a4679498b93594587eafb3462412ae5353b",
"blockId": "83f31bff95b87347351ffcfbbaa66670d6ae911b5f5c14aac925f6cf1a46760e",
"value": 1000000,
"index": 3,
"globalIndex": 29430440,
"creationHeight": 1011321,
"settlementHeight": 1011323,
"ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
"address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "219ba156d7014a1a08c0522eaa0e71a69533ffce4ba8c2315539a58d512aab59",
"mainChain": true
}
],
"size": 3727,
"isUnconfirmed": false
}