Transaction
ID: f934d4cacd...a531
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.45 ERG
Tokens:
Loading assets...
Outputs (13)
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...
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.44 ERG
Tokens:
99,899,999.90
Transaction Details
Confirmations: 761,346
Total coins transferred: 1.45 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000087 ERG
Raw Transaction Data
{
"id": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"inclusionHeight": 1006456,
"timestamp": 1684421003611,
"index": 1,
"globalIndex": 5224318,
"numConfirmations": 761346,
"inputs": [
{
"boxId": "13acd8d78d40d7c8edf711b625fffe92863a202399c8703944f9a131f4c94df1",
"value": 1449443922,
"index": 0,
"spendingProof": "5b4ddddc57e1e0f45baf3fe145f83b0cec54986f7dcd22db6da47ce49058aa7157bc6106caf9de84c6337fda79a01efa679ffef8e8aa1fe2",
"outputBlockId": "530b889968ef45d5e48706e6223a069886f208c02bd7a549495b2045ce06a36e",
"outputTransactionId": "c6c356cadf09af388b85c70cfd91f1b865e27b0191beb8d7a694556e369df809",
"outputIndex": 2,
"outputGlobalIndex": 29224588,
"outputCreatedAt": 1006451,
"outputSettledAt": 1006453,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "311b238d2160ee034fb03685ccb3a35b129459974af4b405db169519556f039c",
"index": 0,
"amount": 9223372036854776000,
"name": "bPaideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "315f8770c6cee7a1a7360f49256f7ea7d98bc6f8e1246f2b137d81e4a8784285",
"index": 1,
"amount": 1,
"name": "bPaideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "30e2778d1e593c5d8093af0972c7a12967abec33a68649b89d2078bf70f28bd3",
"index": 2,
"amount": 9223372036854776000,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3071ea6139c7a76dcd7bcdde075b820b978e36b5c3c759f315d644d466544305",
"index": 3,
"amount": 9223372036854776000,
"name": "bPaideia Action",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3150f0f28939a532468870430736a92c123113dafba3fb02def757af7b87f18e",
"index": 4,
"amount": 1,
"name": "bPaideia DAO Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "30fb30ef8f8cedda7ded3cb0943c2885b4c2d1e3f421a14ee5b09f21a688ce06",
"index": 5,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 6,
"amount": 1998999999000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "275261a62f1b41b0b4dce7e0211e23816367a31f85fd7f6d4ca9c2522e5da3a5",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 0,
"globalIndex": 29224618,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 1\n4: 0\n5: Coll(114,41,-3,-81,-69,-106,17,111,60,-120,94,-67,115,25,-93,41,-124,66,-54,-124,0,56,-18,12,94,109,50,-22,115,94,74,22)\n6: Coll(70,-77,100,10,49,115,-124,-67,-86,80,-73,-92,32,-49,-113,54,-93,-72,121,-2,78,-52,18,-74,-110,74,-50,69,-25,53,33,35)\n7: Coll(91,-28,71,-57,19,-110,-60,48,-80,18,96,72,38,-97,-102,120,-118,-13,85,39,117,95,-84,-23,-46,41,-3,-122,83,14,52,-11)\n8: Coll(29,-20,-78,79,8,-7,-1,21,34,-74,83,-91,86,-114,114,-35,66,77,-118,-104,86,31,62,-49,46,-20,-95,-126,50,37,-57,105)\n9: 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)\n10: 0\n11: 2\n12: 0\n13: 0\n14: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n15: 0\n16: 0\n17: 1\n18: 2\n19: 2\n20: 1\n21: 33\n22: 1\n23: 4\n24: 1\n25: 33\n26: 0\n27: 1\n28: 9\n29: 1000000\n30: Coll(44,-67,27,10,-103,-1,-93,73,-38,115,91,117,-30,-41,126,-60,31,76,106,-104,25,58,-116,121,-111,-128,54,-66,-97,-126,66,-96)\n31: 1\n32: 1\n33: 9\n34: 0\n35: 3\n36: 1\n37: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = OUTPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = SELF.tokens\n val tuple5 = coll3(placeholder[Int](2))\n val tuple6 = coll4(placeholder[Int](3))\n val coll7 = tuple6._1\n val box8 = OUTPUTS(placeholder[Int](4))\n val coll9 = box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](\n placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[Coll[Byte]](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n ), getVar[Coll[Byte]](0.toByte).get\n )\n val tuple10 = box8.tokens(placeholder[Int](10))\n val box11 = OUTPUTS(placeholder[Int](11))\n val tuple12 = box11.tokens(placeholder[Int](12))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](13))._1 == placeholder[Coll[Byte]](14), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](15)) == coll4(placeholder[Int](16)), tuple5._1 == coll7, tuple5._2 == tuple6._2 - placeholder[Long](\n 17\n ), coll3.size == placeholder[Int](18), box2.propositionBytes == SELF.propositionBytes, box2.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box8.propositionBytes) == coll9(placeholder[Int](19)).get.slice(\n placeholder[Int](20), placeholder[Int](21)\n ), tuple10._1 == coll7, tuple10._2 == placeholder[Long](22)\n )\n ), allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == coll9(placeholder[Int](23)).get.slice(\n placeholder[Int](24), placeholder[Int](25)\n ), box11.value == byteArrayToLong(coll9(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28))) + placeholder[Long](\n 29\n ), tuple12._1 == placeholder[Coll[Byte]](30), tuple12._2 == byteArrayToLong(\n coll9(placeholder[Int](31)).get.slice(placeholder[Int](32), placeholder[Int](33))\n )\n )\n ), blake2b256(INPUTS(placeholder[Int](34)).propositionBytes) == coll9(placeholder[Int](35)).get.slice(placeholder[Int](36), placeholder[Int](37))\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "315f8770c6cee7a1a7360f49256f7ea7d98bc6f8e1246f2b137d81e4a8784285",
"index": 0,
"amount": 1,
"name": "bPaideia Origin",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "311b238d2160ee034fb03685ccb3a35b129459974af4b405db169519556f039c",
"index": 1,
"amount": 9223372036854776000,
"name": "bPaideia DAO",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "146d54e5619622dca896c72ba073e491e33ba97d760e08ea5794cd4896d7a4aa",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 1,
"globalIndex": 29224619,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: Coll(3,-99,42,10,33,-115,124,72,-56,-3,70,-88,-46,-108,49,-67,5,108,-124,-120,42,33,106,86,115,38,-61,-57,-104,78,-56,53)\n4: 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)\n5: 1\n6: 1\n7: 2\n8: 2\n9: 1\n10: 1\n11: 1\n12: 0\n13: 9223372036854775807\n14: 0\n15: 1\n16: Coll(105,109,46,112,97,105,100,101,105,97,46,99,111,110,116,114,97,99,116,115,46,112,114,111,112,111,115,97,108,46)\n17: Coll(105,109,46,112,97,105,100,101,105,97,46,99,111,110,116,114,97,99,116,115,46,97,99,116,105,111,110,46)\n18: 2\n19: 2\n20: 0\n21: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n22: 0\n23: 0\n24: 1\n25: 33\n26: 0\n27: 0\n28: 1\n29: 3\n30: 0\n31: 1\n32: Coll(44,-67,27,10,-103,-1,-93,73,-38,115,91,117,-30,-41,126,-60,31,76,106,-104,25,58,-116,121,-111,-128,54,-66,-97,-126,66,-96)\n33: 1\n34: 1\n35: 9\n36: 0\n37: 1\n38: 33\n39: 0\n40: 1\n41: 0\n42: 1\n43: 0\n44: 1\n45: 1\n46: 33",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val box3 = coll1(placeholder[Int](1))\n val coll4 = SELF.R4[Coll[Byte]].get\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get)\n val coll7 = box5.tokens\n val coll8 = SELF.tokens\n val tuple9 = coll7(placeholder[Int](5))\n val tuple10 = coll8(placeholder[Int](6))\n val coll11 = tuple10._1\n val l12 = tuple10._2\n val tuple13 = coll7(placeholder[Int](7))\n val tuple14 = coll8(placeholder[Int](8))\n val coll15 = tuple14._1\n val coll16 = INPUTS(placeholder[Int](9)).R5[Coll[Box]].get\n val coll17 = coll16.slice(placeholder[Int](10), coll16.size)\n val i18 = coll17.size\n val box19 = OUTPUTS(placeholder[Int](11))\n val box20 = coll16(placeholder[Int](12))\n val l21 = placeholder[Long](13) - l12\n val coll22 = box19.tokens\n val tuple23 = coll22(placeholder[Int](14))\n val tuple24 = coll22(placeholder[Int](15))\n val coll25 = box19.propositionBytes\n val coll26 = box20.propositionBytes\n val coll27 = box3.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](blake2b256(placeholder[Coll[Byte]](16).append(coll26))).append(\n coll17.map({(box27: Box) => blake2b256(placeholder[Coll[Byte]](17).append(box27.propositionBytes)) })\n ), getVar[Coll[Byte]](1.toByte).get\n )\n val coll28 = OUTPUTS.slice(placeholder[Int](18), i18 + placeholder[Int](19))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21), box3.tokens(placeholder[Int](22))._1 == coll4, allOf(\n Coll[Boolean](\n blake2b256(box5.propositionBytes) == coll6(placeholder[Int](23)).get.slice(\n placeholder[Int](24), placeholder[Int](25)\n ), box5.value >= SELF.value, coll7(placeholder[Int](26)) == coll8(placeholder[Int](27)), tuple9._1 == coll11, tuple9._2 == l12 - placeholder[Long](\n 28\n ), tuple13._1 == coll15, tuple13._2 == tuple14._2 - i18.toLong, coll7.size == placeholder[Int](29), box5.R4[Coll[Byte]].get == coll4\n )\n ), allOf(\n Coll[Boolean](\n box19.value >= box20.value, box19.R4[Coll[Int]].get(placeholder[Int](30)).toLong == l21, tuple23._1 == coll11, tuple23._2 == placeholder[Long](\n 31\n ), tuple24._1 == placeholder[Coll[Byte]](32), tuple24._2 == byteArrayToLong(\n coll6(placeholder[Int](33)).get.slice(placeholder[Int](34), placeholder[Int](35))\n ), coll25 == coll26, blake2b256(coll25) == coll27(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n )\n ), coll28.indices.forall({(i29: Int) =>\n val box31 = coll28(i29)\n val tuple32 = box31.tokens(placeholder[Int](39))\n val coll33 = box31.R4[Coll[Long]].get\n allOf(Coll[Boolean](box31.value >= coll17(i29).value, tuple32._1 == coll15, tuple32._2 == placeholder[Long](40), coll33(placeholder[Int](41)) == l21, coll33(placeholder[Int](42)) >= placeholder[Long](43), blake2b256(box31.propositionBytes) == coll27.slice(placeholder[Int](44), coll27.size).map({(opt34: Option[Coll[Byte]]) => opt34.get.slice(placeholder[Int](45), placeholder[Int](46)) })(i29)))\n })\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "311b238d2160ee034fb03685ccb3a35b129459974af4b405db169519556f039c",
"index": 0,
"amount": 1,
"name": "bPaideia DAO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "30e2778d1e593c5d8093af0972c7a12967abec33a68649b89d2078bf70f28bd3",
"index": 1,
"amount": 9223372036854776000,
"name": "bPaideia Proposal",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3071ea6139c7a76dcd7bcdde075b820b978e36b5c3c759f315d644d466544305",
"index": 2,
"amount": 9223372036854776000,
"name": "bPaideia Action",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203150f0f28939a532468870430736a92c123113dafba3fb02def757af7b87f18e",
"sigmaType": "Coll[SByte]",
"renderedValue": "3150f0f28939a532468870430736a92c123113dafba3fb02def757af7b87f18e"
}
},
"spentTransactionId": "e5e6360dfc5709c992a113052575f287c19138efa3fa19dedf00f1a9b797d963",
"mainChain": true
},
{
"boxId": "44230de89d5b333d36b2ed960fcbfbd4d5b8b47b0a0f7c529b2270235f0ee4e1",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 2,
"globalIndex": 29224620,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e203071ea6139c7a76dcd7bcdde075b820b978e36b5c3c759f315d644d4665443050100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
"ergoTreeConstants": "0: 0\n1: Coll(-87,85,-114,65,-122,-53,-43,-86,87,35,-88,82,-44,-63,-36,101,125,-98,-127,67,-126,-1,-120,-115,90,-118,-20,82,21,49,48,29)\n2: 0\n3: 1\n4: 33\n5: 0\n6: 0\n7: Coll(48,113,-22,97,57,-57,-89,109,-51,123,-51,-34,7,91,-126,11,-105,-114,54,-75,-61,-57,89,-13,21,-42,68,-44,102,84,67,5)\n8: false",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.tokens == box1.tokens, SELF.value <= box1.value, blake2b256(box1.propositionBytes) == box1.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](1)), getVar[Coll[Byte]](0.toByte).get\n )(placeholder[Int](2)).get.slice(placeholder[Int](3), placeholder[Int](4)), INPUTS.exists({(box2: Box) =>\n val coll4 = box2.tokens\n if (coll4.size > placeholder[Int](5)) { coll4(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7) } else { placeholder[Boolean](8) }\n })\n )\n )\n )\n}",
"address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfUtEnzZVfYMoFo8REtotZo5A93TgULLHjkvSC7oEAELzqkU61A5HrFVhvT96bTET9cNcZ925f4ewrLdEycp1SULEpRDKdEFZcTsTuUHhvHYggg2R2GWNZE2wTb7FG7Gp6jzNrNrhAZKhEHqr42WN5Aw6Xq9JtvigcVAgJKZ5E2d5FuYLfzKdK5cUzn2p",
"assets": [
{
"tokenId": "3150f0f28939a532468870430736a92c123113dafba3fb02def757af7b87f18e",
"index": 0,
"amount": 1,
"name": "bPaideia DAO Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "642e25ffa44ec9e804fb6b78ca6530dd504939f4c8e6b794c85c3935f164fd598407072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "b7af962d28fe54dda1685ec59b5ffa40977000ab664814885686db6f9ec33520",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 3,
"globalIndex": 29224621,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\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(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)\n5: 0\n6: 2\n7: 0\n8: 6\n9: 37\n10: 6\n11: 37\n12: 5\n13: 6\n14: 37\n15: 1\n16: 5\n17: 4\n18: 0\n19: 8\n20: 8\n21: 8\n22: 0\n23: 8\n24: 8\n25: 8\n26: 0\n27: 0\n28: 0\n29: 1\n30: 0\n31: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n32: 0\n33: 1\n34: 6\n35: 38\n36: 2\n37: 0\n38: 1\n39: 1\n40: 1\n41: 1\n42: 1\n43: 0\n44: 1\n45: 0\n46: 1\n47: 1\n48: 2\n49: -3\n50: 2\n51: 0\n52: 0\n53: 1\n54: 33\n55: 1\n56: 1\n57: 5\n58: 0\n59: 0\n60: 2\n61: 2\n62: 3\n63: 3\n64: 4\n65: 4",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.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 coll5 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple6 = coll5(placeholder[Int](5))\n val coll7 = tuple6._1\n val coll8 = box2.R5[Coll[Long]].get\n val i9 = coll8.size\n val coll10 = coll4(placeholder[Int](6)).get\n val coll11 = coll10.slice(placeholder[Int](7), coll10.size - placeholder[Int](8) / placeholder[Int](9)).indices\n val coll12 = coll11.map(\n {(i12: Int) =>\n coll10.slice(\n placeholder[Int](10) + placeholder[Int](11) * i12 + placeholder[Int](12), placeholder[Int](13) + placeholder[Int](14) * i12 + placeholder[Int](15)\n )\n }\n )\n val coll13 = coll8.slice(placeholder[Int](16), i9).append(\n coll12.slice(i9 - placeholder[Int](17), coll11.size).map({(coll13: Coll[Byte]) => placeholder[Long](18) })\n )\n val coll14 = coll13.indices\n val coll15 = coll14.map({(i15: Int) =>\n val i17 = i15 * placeholder[Int](19) + placeholder[Int](20)\n byteArrayToLong(tuple6._2.slice(i17, i17 + placeholder[Int](21)))\n })\n val coll16 = box2.R4[Coll[AvlTree]].get\n val avlTree17 = coll16(placeholder[Int](22))\n val coll18 = getVar[Coll[Byte]](2.toByte).get\n val coll19 = coll14.map({(i19: Int) =>\n val i21 = i19 * placeholder[Int](23) + placeholder[Int](24)\n byteArrayToLong(avlTree17.get(coll7, coll18).get.slice(i21, i21 + placeholder[Int](25)))\n })\n val l20 = coll15(placeholder[Int](26)) - coll19(placeholder[Int](27))\n val box21 = OUTPUTS(placeholder[Int](28))\n val coll22 = box21.tokens\n val coll23 = box21.R5[Coll[Long]].get\n val coll24 = box21.R4[Coll[AvlTree]].get\n val coll25 = coll19.zip(coll15)\n val box26 = OUTPUTS(placeholder[Int](29))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](30))._1 == placeholder[Coll[Byte]](31), coll3(placeholder[Int](32))._1 == coll4(placeholder[Int](33)).get.slice(\n placeholder[Int](34), placeholder[Int](35)\n ), OUTPUTS(placeholder[Int](36)).tokens(placeholder[Int](37))._1 == coll7, (\n l20 == coll22(placeholder[Int](38))._2 - coll3(placeholder[Int](39))._2\n ) && (l20 == coll23(placeholder[Int](40)) - coll8(placeholder[Int](41))), coll5.size == placeholder[Int](42), avlTree17.update(\n coll5, coll18\n ).get.digest == coll24(placeholder[Int](43)).digest, coll25.slice(placeholder[Int](44), coll25.size).forall({(tuple27: (Long, Long)) =>\n val l29 = tuple27._2\n (tuple27._1 >= l29) && (l29 >= placeholder[Long](45))\n }), coll19(placeholder[Int](46)) - coll15(placeholder[Int](47)) == box2.value - box21.value, coll3.slice(placeholder[Int](48), coll3.size).forall(\n {(tuple27: (Coll[Byte], Long)) =>\n val coll29 = tuple27._1\n val i30 = coll12.indexOf(coll29, placeholder[Int](49)) + placeholder[Int](50)\n tuple27._2 - coll22.fold(placeholder[Long](51), {(tuple31: (Long, (Coll[Byte], Long))) =>\n val tuple33 = tuple31._2\n val l34 = tuple31._1\n if (tuple33._1 == coll29) { l34 + tuple33._2 } else { l34 }\n }) == coll19(i30) - coll15(i30)\n }\n ), allOf(\n Coll[Boolean](\n blake2b256(box26.propositionBytes) == coll4(placeholder[Int](52)).get.slice(placeholder[Int](53), placeholder[Int](54)), box26.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll24(placeholder[Int](55)) == coll16(placeholder[Int](56)), coll23.slice(placeholder[Int](57), coll23.size) == coll13, coll23(\n placeholder[Int](58)\n ) == coll8(placeholder[Int](59)), coll23(placeholder[Int](60)) == coll8(placeholder[Int](61)), coll23(placeholder[Int](62)) == coll8(\n placeholder[Int](63)\n ), coll23(placeholder[Int](64)) == coll8(placeholder[Int](65)), box21.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box21.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box2.R7[Coll[(AvlTree, AvlTree)]].get, box21.R8[Coll[Coll[Long]]].get == box2.R8[Coll[Coll[Long]]].get\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "b9f92d7f853d859d172ad8cd9df1784fbef8abdbd5efdbcd03d1372586c09795",
"mainChain": true
},
{
"boxId": "8a7f2aa280f6191a6d65669d463cd9dddf1d654e196e5609e4f6747af787bbc6",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 4,
"globalIndex": 29224622,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\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(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)\n5: 0\n6: 2\n7: 0\n8: 0\n9: 2\n10: 0\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 5\n17: 6\n18: 37\n19: 1\n20: 4\n21: 0\n22: 8\n23: 8\n24: 8\n25: 0\n26: 1\n27: 0\n28: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n29: 0\n30: 1\n31: 6\n32: 38\n33: 2\n34: 2\n35: 1\n36: 1\n37: 0\n38: 0\n39: 3\n40: 3\n41: 0\n42: 0\n43: 1\n44: 1\n45: 1\n46: 1\n47: 1\n48: 1\n49: 0\n50: 0\n51: 1\n52: 0\n53: 0\n54: 1\n55: 33\n56: 2\n57: 1\n58: 2",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.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 box5 = OUTPUTS(placeholder[Int](5))\n val coll6 = box5.tokens\n val coll7 = box5.R4[Coll[AvlTree]].get\n val coll8 = box2.R4[Coll[AvlTree]].get\n val coll9 = box5.R5[Coll[Long]].get\n val coll10 = box2.R5[Coll[Long]].get\n val i11 = coll10.size\n val coll12 = box2.id\n val coll13 = OUTPUTS(placeholder[Int](6)).tokens(placeholder[Int](7))._1\n val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val tuple15 = coll14(placeholder[Int](8))\n val coll16 = coll4(placeholder[Int](9)).get\n val coll17 = coll16.slice(placeholder[Int](10), coll16.size - placeholder[Int](11) / placeholder[Int](12)).indices\n val coll18 = coll10.slice(placeholder[Int](13), i11).append(\n coll17.map(\n {(i18: Int) =>\n coll16.slice(\n placeholder[Int](14) + placeholder[Int](15) * i18 + placeholder[Int](16), placeholder[Int](17) + placeholder[Int](18) * i18 + placeholder[Int](19)\n )\n }\n ).slice(i11 - placeholder[Int](20), coll17.size).map({(coll18: Coll[Byte]) => placeholder[Long](21) })\n ).indices\n val coll19 = coll18.map({(i19: Int) =>\n val i21 = i19 * placeholder[Int](22) + placeholder[Int](23)\n byteArrayToLong(tuple15._2.slice(i21, i21 + placeholder[Int](24)))\n })\n val l20 = coll19(placeholder[Int](25))\n val box21 = OUTPUTS(placeholder[Int](26))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](27))._1 == placeholder[Coll[Byte]](28), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](29))._1 == coll4(placeholder[Int](30)).get.slice(\n placeholder[Int](31), placeholder[Int](32)\n ), box5.value >= box2.value, coll6.slice(placeholder[Int](33), coll6.size) == coll3.slice(placeholder[Int](34), coll3.size), coll7(\n placeholder[Int](35)\n ) == coll8(placeholder[Int](36)), coll9(placeholder[Int](37)) == coll10(placeholder[Int](38)), coll9.slice(\n placeholder[Int](39), coll9.size\n ) == coll10.slice(placeholder[Int](40), i11), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box2.R7[Coll[(AvlTree, AvlTree)]].get, box5.R8[Coll[Coll[Long]]].get == box2.R8[Coll[Coll[Long]]].get\n )\n ), (coll12 == coll13) && (coll12 == tuple15._1), OUTPUTS.flatMap({(box22: Box) => box22.tokens }).fold(\n placeholder[Long](41), {(tuple22: (Long, (Coll[Byte], Long))) =>\n val tuple24 = tuple22._2\n tuple22._1 + if (tuple24._1 == coll13) { tuple24._2 } else { placeholder[Long](42) }\n }\n ) == placeholder[Long](43), (l20 == coll6(placeholder[Int](44))._2 - coll3(placeholder[Int](45))._2) && (\n l20 == coll9(placeholder[Int](46)) - coll10(placeholder[Int](47))\n ), coll14.size == placeholder[Int](48), coll8(placeholder[Int](49)).insert(coll14, getVar[Coll[Byte]](2.toByte).get).get.digest == coll7(\n placeholder[Int](50)\n ).digest, coll19.slice(placeholder[Int](51), coll18.size).forall({(l22: Long) => l22 == placeholder[Long](52) }), allOf(\n Coll[Boolean](\n blake2b256(box21.propositionBytes) == coll4(placeholder[Int](53)).get.slice(placeholder[Int](54), placeholder[Int](55)), box21.value >= SELF.value\n )\n ), coll10(placeholder[Int](56)) + placeholder[Long](57) == coll9(placeholder[Int](58))\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e52115c0e0ae71bbbadb186688080c3b0b2de91e23638243ba75aaba1a5adba2",
"mainChain": true
},
{
"boxId": "08ff3ff5aea58d8318cd5c34aafaef6143a63211083fad01fb18f150bcf52f0e",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 5,
"globalIndex": 29224623,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 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)\n4: 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)\n5: 0\n6: 0\n7: 2\n8: 0\n9: 6\n10: 37\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 1\n17: 0\n18: 5\n19: 4\n20: 0\n21: 8\n22: 8\n23: 8\n24: 0\n25: 1\n26: 0\n27: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n28: 0\n29: 0\n30: 6\n31: 38\n32: 1\n33: 1\n34: 0\n35: 0\n36: 3\n37: 3\n38: 2\n39: 0\n40: 1\n41: 1\n42: 1\n43: 1\n44: 1\n45: 2\n46: 0\n47: -3\n48: 2\n49: 1\n50: 0\n51: 1\n52: 1\n53: 33\n54: 2\n55: 1\n56: 2",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.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 box5 = OUTPUTS(placeholder[Int](5))\n val coll6 = box5.R4[Coll[AvlTree]].get\n val coll7 = box2.R4[Coll[AvlTree]].get\n val coll8 = box5.R5[Coll[Long]].get\n val coll9 = box2.R5[Coll[Long]].get\n val i10 = coll9.size\n val coll11 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val coll12 = coll11.map({(tuple12: (Coll[Byte], Coll[Byte])) => tuple12._1 })\n val coll13 = coll12(placeholder[Int](6))\n val coll14 = coll4(placeholder[Int](7)).get\n val coll15 = coll14.slice(placeholder[Int](8), coll14.size - placeholder[Int](9) / placeholder[Int](10)).indices\n val coll16 = coll15.map(\n {(i16: Int) =>\n coll14.slice(\n placeholder[Int](11) + placeholder[Int](12) * i16 + placeholder[Int](13), placeholder[Int](14) + placeholder[Int](15) * i16 + placeholder[Int](16)\n )\n }\n )\n val avlTree17 = coll7(placeholder[Int](17))\n val coll18 = coll9.slice(placeholder[Int](18), i10).append(\n coll16.slice(i10 - placeholder[Int](19), coll15.size).map({(coll18: Coll[Byte]) => placeholder[Long](20) })\n ).indices.map({(i18: Int) =>\n val i20 = i18 * placeholder[Int](21) + placeholder[Int](22)\n byteArrayToLong(avlTree17.get(coll13, getVar[Coll[Byte]](2.toByte).get).get.slice(i20, i20 + placeholder[Int](23)))\n })\n val l19 = coll18(placeholder[Int](24))\n val coll20 = box5.tokens\n val box21 = OUTPUTS(placeholder[Int](25))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](28))._1 == coll4(placeholder[Int](29)).get.slice(placeholder[Int](30), placeholder[Int](31)), coll6(\n placeholder[Int](32)\n ) == coll7(placeholder[Int](33)), coll8(placeholder[Int](34)) == coll9(placeholder[Int](35)), coll8.slice(\n placeholder[Int](36), coll8.size\n ) == coll9.slice(placeholder[Int](37), i10), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box2.R7[Coll[(AvlTree, AvlTree)]].get, box5.R8[Coll[Coll[Long]]].get == box2.R8[Coll[Coll[Long]]].get\n )\n ), INPUTS(placeholder[Int](38)).tokens(placeholder[Int](39))._1 == coll13, allOf(\n Coll[Boolean](\n l19 == coll3(placeholder[Int](40))._2 - coll20(placeholder[Int](41))._2, l19 == coll9(placeholder[Int](42)) - coll8(placeholder[Int](43))\n )\n ), coll18(placeholder[Int](44)) == box2.value - box5.value, coll3.slice(placeholder[Int](45), coll3.size).forall({(tuple22: (Coll[Byte], Long)) =>\n val coll24 = tuple22._1\n tuple22._2 - coll20.fold(placeholder[Long](46), {(tuple25: (Long, (Coll[Byte], Long))) =>\n val tuple27 = tuple25._2\n val l28 = tuple25._1\n if (tuple27._1 == coll24) { l28 + tuple27._2 } else { l28 }\n }) == coll18(coll16.indexOf(coll24, placeholder[Int](47)) + placeholder[Int](48))\n }), coll11.size == placeholder[Int](49), avlTree17.remove(coll12, getVar[Coll[Byte]](3.toByte).get).get.digest == coll6(\n placeholder[Int](50)\n ).digest, allOf(\n Coll[Boolean](\n blake2b256(box21.propositionBytes) == coll4(placeholder[Int](51)).get.slice(placeholder[Int](52), placeholder[Int](53)), box21.value >= SELF.value\n )\n ), coll9(placeholder[Int](54)) - placeholder[Long](55) == coll8(placeholder[Int](56))\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "fd0653ae5b91a389e74531432f4695b5c0d18e4b1b909c600ae6e200fff87024",
"mainChain": true
},
{
"boxId": "f4ddb2c50e555677176c240228278cbb600ab8836bd6788ba07c22ee9abbd193",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 6,
"globalIndex": 29224624,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 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)\n3: 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)\n4: Coll(-80,-71,7,-85,-81,-83,-115,-1,-50,47,-97,29,-6,21,53,-64,34,-35,-96,83,102,-12,-5,-46,127,88,29,19,47,75,35,-10)\n5: Coll(-101,22,-79,-128,-127,39,77,-62,47,24,-24,89,25,-106,-94,102,-45,-71,33,-73,113,-127,12,-54,12,-72,-25,18,74,-40,8,-66)\n6: Coll(65,-13,-104,-128,101,82,-124,94,82,0,-112,50,16,95,89,-27,-53,44,-79,65,-34,99,-52,115,123,109,-103,87,83,-61,110,-127)\n7: 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)\n8: Coll(40,-58,-124,89,62,17,78,122,82,44,-90,-26,-112,-104,119,-83,10,121,-82,-103,-37,109,108,-44,56,25,-93,77,80,91,55,-24)\n9: Coll(59,8,57,-57,-9,126,-4,-122,-37,-96,-92,95,-86,-51,100,-90,56,-74,-114,10,-62,106,-88,10,21,-116,-114,-66,87,-82,21,-125)\n10: 0\n11: 0\n12: 1\n13: 0\n14: 78\n15: -58\n16: 31\n17: 72\n18: 91\n19: -104\n20: -21\n21: -121\n22: 21\n23: 63\n24: 124\n25: 87\n26: -37\n27: 79\n28: 94\n29: -51\n30: 117\n31: 85\n32: 111\n33: -35\n34: -68\n35: 64\n36: 59\n37: 65\n38: -84\n39: -8\n40: 68\n41: 31\n42: -34\n43: -114\n44: 22\n45: 9\n46: 0\n47: 0\n48: 1\n49: 1\n50: 2\n51: 3\n52: 6\n53: 0\n54: 100\n55: 1\n56: 0\n57: 4\n58: 7\n59: 1\n60: 5\n61: 0\n62: 6\n63: 37\n64: 3\n65: 1\n66: 9\n67: 1\n68: 0\n69: 1\n70: 1\n71: 33\n72: 0\n73: 0\n74: 6\n75: 38\n76: 1\n77: 2\n78: 2\n79: 3\n80: 0\n81: 4\n82: 0\n83: 0\n84: 1\n85: 3\n86: 4\n87: 1\n88: 0\n89: 100\n90: 1\n91: 0\n92: 1\n93: 1\n94: 0\n95: 2\n96: 1\n97: 9\n98: 1\n99: 4\n100: 6\n101: 37\n102: 5\n103: 6\n104: 37\n105: 1\n106: 3\n107: 0\n108: 0\n109: 1\n110: 0\n111: 0\n112: 1\n113: 0\n114: 1\n115: 1\n116: 0\n117: 2\n118: 1\n119: 0\n120: 3\n121: 1\n122: 0\n123: 4\n124: 1\n125: 0\n126: 0\n127: 1\n128: 4\n129: 0\n130: 0\n131: 4\n132: 1\n133: 9\n134: 0\n135: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.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 box4 = INPUTS(placeholder[Int](10))\n val coll5 = box4.tokens\n val box6 = OUTPUTS(placeholder[Int](11))\n val coll7 = box6.R5[Coll[Long]].get\n val coll8 = box4.R5[Coll[Long]].get\n val l9 = coll8(placeholder[Int](12))\n val coll10 = box6.R4[Coll[AvlTree]].get\n val coll11 = box4.R4[Coll[AvlTree]].get\n val coll12 = coll11(placeholder[Int](13)).digest\n val coll13 = Coll[Int](\n placeholder[Int](14), placeholder[Int](15), placeholder[Int](16), placeholder[Int](17), placeholder[Int](18), placeholder[Int](19), placeholder[Int](\n 20\n ), placeholder[Int](21), placeholder[Int](22), placeholder[Int](23), placeholder[Int](24), placeholder[Int](25), placeholder[Int](26), placeholder[Int](\n 27\n ), placeholder[Int](28), placeholder[Int](29), placeholder[Int](30), placeholder[Int](31), placeholder[Int](32), placeholder[Int](33), placeholder[Int](\n 34\n ), placeholder[Int](35), placeholder[Int](36), placeholder[Int](37), placeholder[Int](38), placeholder[Int](39), placeholder[Int](40), placeholder[Int](\n 41\n ), placeholder[Int](42), placeholder[Int](43), placeholder[Int](44), placeholder[Int](45), placeholder[Int](46)\n ).map({(i13: Int) => i13.toByte })\n val coll14 = box6.R6[Coll[Coll[Long]]].get\n val coll15 = coll14(placeholder[Int](47))\n val i16 = coll15.size\n val i17 = i16 - placeholder[Int](48)\n val coll18 = coll14(placeholder[Int](49))\n val coll19 = coll14(placeholder[Int](50))\n val coll20 = coll14(placeholder[Int](51))\n val opt21 = coll3(placeholder[Int](52))\n val b22 = max(placeholder[Byte](53), min(placeholder[Byte](54), if (opt21.isDefined) { opt21.get(placeholder[Int](55)) } else { placeholder[Byte](56) }))\n val coll23 = coll14(placeholder[Int](57))\n val i24 = coll23.size\n val opt25 = coll3(placeholder[Int](58))\n val coll26 = box6.R7[Coll[(AvlTree, AvlTree)]].get\n val i27 = coll26.size\n val tuple28 = coll26(i27 - placeholder[Int](59))\n val coll29 = box6.R8[Coll[Coll[Long]]].get\n val i30 = coll29.size\n val i31 = coll8.size\n val coll32 = coll3(placeholder[Int](60)).get\n val coll33 = coll32.slice(placeholder[Int](61), coll32.size - placeholder[Int](62) / placeholder[Int](63)).indices\n val coll34 = box4.R7[Coll[(AvlTree, AvlTree)]].get\n val i35 = byteArrayToLong(coll3(placeholder[Int](64)).get.slice(placeholder[Int](65), placeholder[Int](66))).toInt\n val i36 = i35 - placeholder[Int](67)\n val coll37 = box4.R6[Coll[Coll[Long]]].get\n val l38 = coll8(placeholder[Int](68))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n blake2b256(box1.propositionBytes) == coll3(placeholder[Int](69)).get.slice(placeholder[Int](70), placeholder[Int](71)), box1.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n coll5(placeholder[Int](72))._1 == coll3(placeholder[Int](73)).get.slice(placeholder[Int](74), placeholder[Int](75)), box6.tokens == coll5, coll7(\n placeholder[Int](76)\n ) == l9, coll7(placeholder[Int](77)) == coll8(placeholder[Int](78)), coll7(placeholder[Int](79)) == placeholder[Long](80), coll7(\n placeholder[Int](81)\n ) == placeholder[Long](82), coll10(placeholder[Int](83)).digest == coll12, coll10(placeholder[Int](84)).digest == coll13\n )\n ), allOf(\n Coll[Boolean](\n coll15(i17) == l9, coll18(i17) == coll8(placeholder[Int](85)), coll19(i17) == coll8(placeholder[Int](86)), coll20(i17) == b22.toLong, coll23(\n i24 - placeholder[Int](87)\n ) == max(\n placeholder[Byte](88), min(placeholder[Byte](89) - b22, if (opt25.isDefined) { opt25.get(placeholder[Int](90)) } else { placeholder[Byte](91) })\n ).toLong, tuple28._1.digest == coll12, tuple28._2.digest == coll11(placeholder[Int](92)).digest, coll29(i30 - placeholder[Int](93))(\n placeholder[Int](94)\n ) == min(\n byteArrayToLong(coll3(placeholder[Int](95)).get.slice(placeholder[Int](96), placeholder[Int](97))), coll5(\n placeholder[Int](98)\n )._2 - l9 - coll8.slice(placeholder[Int](99), i31).append(\n coll33.map(\n {(i39: Int) =>\n coll32.slice(\n placeholder[Int](100) + placeholder[Int](101) * i39 + placeholder[Int](102), placeholder[Int](103) + placeholder[Int](\n 104\n ) * i39 + placeholder[Int](105)\n )\n }\n ).slice(i31 - placeholder[Int](106), coll33.size).map({(coll39: Coll[Byte]) => placeholder[Long](107) })\n )(placeholder[Int](108)) - placeholder[Long](109)\n )\n )\n ), allOf(\n Coll[Boolean](\n coll34(placeholder[Int](110))._1.digest == coll13, coll26.slice(placeholder[Int](111), i36) == coll34.slice(\n placeholder[Int](112), i35\n ), coll18.slice(placeholder[Int](113), i36) == coll37(placeholder[Int](114)).slice(placeholder[Int](115), i35), coll19.slice(\n placeholder[Int](116), i36\n ) == coll37(placeholder[Int](117)).slice(placeholder[Int](118), i35), coll20.slice(placeholder[Int](119), i36) == coll37(\n placeholder[Int](120)\n ).slice(placeholder[Int](121), i35), coll23.slice(placeholder[Int](122), i36) == coll37(placeholder[Int](123)).slice(\n placeholder[Int](124), i35\n ), coll15.slice(placeholder[Int](125), i36) == coll37(placeholder[Int](126)).slice(placeholder[Int](127), i35)\n )\n ), allOf(Coll[Boolean](i27 == i35, i16 == i35, i30 == i35, coll20.size == i35, i24 == i35, coll18.size == i35, coll19.size == i35)), coll7.slice(\n placeholder[Int](128), coll7.size\n ).forall({(l39: Long) => l39 == placeholder[Long](129) }), coll7(placeholder[Int](130)) == l38 + byteArrayToLong(\n coll3(placeholder[Int](131)).get.slice(placeholder[Int](132), placeholder[Int](133))\n ), l38 <= CONTEXT.preHeader.timestamp, box2.tokens(placeholder[Int](134))._1 == placeholder[Coll[Byte]](135)\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "342e5c7c70d519fc75cec35ab7d62b3dbd2e028503fad3aa9662f265a7d175f8",
"mainChain": true
},
{
"boxId": "0c6d35e9bd0966222860955d48b997684c178b9eda76a0899c631c0cc3ad2ccb",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 7,
"globalIndex": 29224625,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "1062040004000e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0e20892e6f47a10d5c90b87ad4863355cead00c3e2983217ee15533253cd9a6025c20e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a2040004040400040c044a040a040c044a040a040c044a0402040805000410041004100501040004100420040004000402040004060500040002000404040004080500040002000400026402000264060100060100040004100410042005000500040004100410041006010001010400040004020402040204000e203150f0f28939a532468870430736a92c123113dafba3fb02def757af7b87f18e04000400040c044c0400050004000400040004000402040005000400040004000400060100040004020410042005000400040204020442040204020400040004040404d830d601b2db6501fe730000d602b2a4730100d603db63087202d604dc640be4c6720104640283030e730273037304e4e3000ed605e4e3010c3c0e0ed606ad7205d901063c0e0e8c720601d607db0c0e7206d608e4c67202040c64d609b27208730500d60ae4e3020ed60be4c672020511d60cb1720bd60de4b27204730600d60edb0c0eb4720d73079d99b1720d73087309d60fb3b4720b730a720cadb4ad720ed9010f04b4720d9a9a730b9c730c720f730d9a730e9c730f9a720f731099720c7311b1720ed9010f0e7312d610db0c0e720fd611addc640b7209027206720ad901113295e67211ad7210d9011304d801d6159a9c7213731373147cb4e4721172159a72157315ad720fd90113057316d612e4c67202070c3c6464d613b27212731700d6148c721301d615addc640b7214027206e4e3030ed90115327cb4e4721573187319d616e4c67202061dd617b2b27216731a00731b00d618b2b27216731c00731d00d619b27216731e00d61a95917218731f7db27219732000027321d61bb2b27216732200732300d61cb27216732400d61d9591721b73257db2721c732600027327d61e9a721a721dd61f95917e721e047328a2997329721e732a732bd620732cd621732dd6229a721e721fd6238c721302d624addc640b7223027206e4e3050ed901243295e67224d801d626e4722486027cb47226732e732f7cb4722673307331860273327333d625e4c67202081dd626b27225733400d627ad7205d901273c0e0ead7210d9012904d801d62b9a9c7229733573367cb48c722702722b9a722b7337d6288602ad7226d901280573387339d629b2a5733a00d62ae4c672290511d62be4c67229070c3c6464d62cb2722b733b00d62de4c67229040c64d62eb2a5733c00d62f938c722c027223d63093b4722b733db1722bb47212733eb17212d196830801938cb2db63087201733f00017340938cb2720373410001b4e4b272047342007343734496ad7207d9013104d801d633b272117231008c9592b272337345007346d801d634ad7226d9013405d801d6367e7234069d9a9a9c9d9c7eb272157231000672367e7217067e721f0695917e721a0473479c9d9c7e8cb27224723100010672367e7218067eb2721973480006722095917e721d0473499c9d9c7e8cb27224723100020672367e721b067eb2721c734a000672217e7222068602723493addc0c1d7233017234d9013541069a7e8c723501068c723502adb27227723100d90135057e723506722802939a7eb2720b734b0006b0ad7207d9013104d801d633b272117231009592b27233734c00734dd801d634ad7226d9013405d801d6367e7234069d9a9a9c9d9c7eb272157231000672367e7217067e721f0695917e721a04734e9c9d9c7e8cb27224723100010672367e7218067eb27219734f0006722095917e721d0473509c9d9c7e8cb27224723100020672367e721b067eb2721c7351000672217e7222068602723493addc0c1d7233017234d9013541069a7e8c723501068c723502adb27227723100d90135057e72350672287352d901314249129a8c723101b28c8c723102017353007eb2722a7354000693db6401e4dc640e7214027206e4e3040edb64018c722c0193db6401e4dc640d720902b57205d901313c0e0e917cb48c723102735573567357720adb6401b2722d7358009683020193cbc2722eb4e4b27204735900735a735b92c1722ec1a796830b0193c17229c1720293db63087229720393db6401b2722d735c00db6401b27208735d00722f723093b2722a735e00b2720b735f0093b4722a7360b1722ab4720b7361720c93e4c67229061d72167230722f93e4c67229081d7225",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 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)\n4: 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)\n5: 0\n6: 2\n7: 0\n8: 6\n9: 37\n10: 5\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 1\n17: 4\n18: 0\n19: 8\n20: 8\n21: 8\n22: -1\n23: 0\n24: 8\n25: 16\n26: 0\n27: 0\n28: 1\n29: 0\n30: 3\n31: 0\n32: 0\n33: 0\n34: 2\n35: 0\n36: 4\n37: 0\n38: 0\n39: 0\n40: 0\n41: 100\n42: 0\n43: 100\n44: CBigInt(0)\n45: CBigInt(0)\n46: 0\n47: 8\n48: 8\n49: 16\n50: 0\n51: 0\n52: 0\n53: 8\n54: 8\n55: 8\n56: CBigInt(0)\n57: true\n58: 0\n59: 0\n60: 1\n61: 1\n62: 1\n63: 0\n64: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n65: 0\n66: 0\n67: 6\n68: 38\n69: 0\n70: 0\n71: 0\n72: 0\n73: 0\n74: 0\n75: 1\n76: 0\n77: 0\n78: 0\n79: 0\n80: 0\n81: 0\n82: CBigInt(0)\n83: 0\n84: 1\n85: 8\n86: 16\n87: 0\n88: 0\n89: 1\n90: 1\n91: 33\n92: 1\n93: 1\n94: 0\n95: 0\n96: 2\n97: 2",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.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 coll5 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n val coll6 = coll5.map({(tuple6: (Coll[Byte], Coll[Byte])) => tuple6._1 })\n val coll7 = coll6.indices\n val coll8 = box2.R4[Coll[AvlTree]].get\n val avlTree9 = coll8(placeholder[Int](5))\n val coll10 = getVar[Coll[Byte]](2.toByte).get\n val coll11 = box2.R5[Coll[Long]].get\n val i12 = coll11.size\n val coll13 = coll4(placeholder[Int](6)).get\n val coll14 = coll13.slice(placeholder[Int](7), coll13.size - placeholder[Int](8) / placeholder[Int](9)).indices\n val coll15 = coll11.slice(placeholder[Int](10), i12).append(\n coll14.map(\n {(i15: Int) =>\n coll13.slice(\n placeholder[Int](11) + placeholder[Int](12) * i15 + placeholder[Int](13), placeholder[Int](14) + placeholder[Int](15) * i15 + placeholder[Int](16)\n )\n }\n ).slice(i12 - placeholder[Int](17), coll14.size).map({(coll15: Coll[Byte]) => placeholder[Long](18) })\n )\n val coll16 = coll15.indices\n val coll17 = avlTree9.getMany(coll6, coll10).map({(opt17: Option[Coll[Byte]]) => if (opt17.isDefined) { coll16.map({(i19: Int) =>\n val i21 = i19 * placeholder[Int](19) + placeholder[Int](20)\n byteArrayToLong(opt17.get.slice(i21, i21 + placeholder[Int](21)))\n }) } else { coll15.map({(l19: Long) => placeholder[Long](22) }) } })\n val coll18 = box2.R7[Coll[(AvlTree, AvlTree)]].get\n val tuple19 = coll18(placeholder[Int](23))\n val avlTree20 = tuple19._1\n val coll21 = avlTree20.getMany(coll6, getVar[Coll[Byte]](3.toByte).get).map(\n {(opt21: Option[Coll[Byte]]) => byteArrayToLong(opt21.get.slice(placeholder[Int](24), placeholder[Int](25))) }\n )\n val coll22 = box2.R6[Coll[Coll[Long]]].get\n val l23 = coll22(placeholder[Int](26))(placeholder[Int](27))\n val l24 = coll22(placeholder[Int](28))(placeholder[Int](29))\n val coll25 = coll22(placeholder[Int](30))\n val b26 = if (l24 > placeholder[Long](31)) { coll25(placeholder[Int](32)).toByte } else { placeholder[Byte](33) }\n val l27 = coll22(placeholder[Int](34))(placeholder[Int](35))\n val coll28 = coll22(placeholder[Int](36))\n val b29 = if (l27 > placeholder[Long](37)) { coll28(placeholder[Int](38)).toByte } else { placeholder[Byte](39) }\n val b30 = b26 + b29\n val b31 = if (b30.toInt > placeholder[Int](40)) { max(placeholder[Byte](41) - b30, placeholder[Byte](42)) } else { placeholder[Byte](43) }\n val bi32 = placeholder[BigInt](44)\n val bi33 = placeholder[BigInt](45)\n val b34 = b30 + b31\n val avlTree35 = tuple19._2\n val coll36 = avlTree35.getMany(coll6, getVar[Coll[Byte]](5.toByte).get).map({(opt36: Option[Coll[Byte]]) => if (opt36.isDefined) {(\n val coll38 = opt36.get\n (byteArrayToLong(coll38.slice(placeholder[Int](46), placeholder[Int](47))), byteArrayToLong(coll38.slice(placeholder[Int](48), placeholder[Int](49))))\n )} else { (placeholder[Long](50), placeholder[Long](51)) } })\n val coll37 = box2.R8[Coll[Coll[Long]]].get\n val coll38 = coll37(placeholder[Int](52))\n val coll39 = coll5.map({(tuple39: (Coll[Byte], Coll[Byte])) => coll16.map({(i41: Int) =>\n val i43 = i41 * placeholder[Int](53) + placeholder[Int](54)\n byteArrayToLong(tuple39._2.slice(i43, i43 + placeholder[Int](55)))\n }) })\n val tuple40 = (coll38.map({(l40: Long) => placeholder[BigInt](56) }), placeholder[Boolean](57))\n val box41 = OUTPUTS(placeholder[Int](58))\n val coll42 = box41.R5[Coll[Long]].get\n val coll43 = box41.R7[Coll[(AvlTree, AvlTree)]].get\n val tuple44 = coll43(placeholder[Int](59))\n val coll45 = box41.R4[Coll[AvlTree]].get\n val box46 = OUTPUTS(placeholder[Int](60))\n val bool47 = tuple44._2 == avlTree35\n val bool48 = coll43.slice(placeholder[Int](61), coll43.size) == coll18.slice(placeholder[Int](62), coll18.size)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](63))._1 == placeholder[Coll[Byte]](64), coll3(placeholder[Int](65))._1 == coll4(placeholder[Int](66)).get.slice(\n placeholder[Int](67), placeholder[Int](68)\n ), allOf(coll7.map({(i49: Int) =>\n val coll51 = coll17(i49)\n if (coll51(placeholder[Int](69)) >= placeholder[Long](70)) {(\n val coll52 = coll38.map({(l52: Long) =>\n val bi54 = l52.toBigInt\n coll21(i49).toBigInt * bi54 / l23.toBigInt * b31.toBigInt + if (b26.toInt > placeholder[Int](71)) { coll36(i49)._1.toBigInt * bi54 / l24.toBigInt * coll25(placeholder[Int](72)).toBigInt } else { bi32 } + if (b29.toInt > placeholder[Int](73)) { coll36(i49)._2.toBigInt * bi54 / l27.toBigInt * coll28(placeholder[Int](74)).toBigInt } else { bi33 } / b34.toBigInt\n })\n (coll52, coll51.zip(coll52).map({(tuple53: (Long, BigInt)) => tuple53._1.toBigInt + tuple53._2 }) == coll39(i49).map({(l53: Long) => l53.toBigInt }))\n )} else { tuple40 }._2\n })), coll11(placeholder[Int](75)).toBigInt + coll7.map({(i49: Int) =>\n val coll51 = coll17(i49)\n if (coll51(placeholder[Int](76)) >= placeholder[Long](77)) {(\n val coll52 = coll38.map({(l52: Long) =>\n val bi54 = l52.toBigInt\n coll21(i49).toBigInt * bi54 / l23.toBigInt * b31.toBigInt + if (b26.toInt > placeholder[Int](78)) { coll36(i49)._1.toBigInt * bi54 / l24.toBigInt * coll25(placeholder[Int](79)).toBigInt } else { bi32 } + if (b29.toInt > placeholder[Int](80)) { coll36(i49)._2.toBigInt * bi54 / l27.toBigInt * coll28(placeholder[Int](81)).toBigInt } else { bi33 } / b34.toBigInt\n })\n (coll52, coll51.zip(coll52).map({(tuple53: (Long, BigInt)) => tuple53._1.toBigInt + tuple53._2 }) == coll39(i49).map({(l53: Long) => l53.toBigInt }))\n )} else { tuple40 }\n }).fold(placeholder[BigInt](82), {(tuple49: (BigInt, (Coll[BigInt], Boolean))) => tuple49._1 + tuple49._2._1(placeholder[Int](83)) }) == coll42(\n placeholder[Int](84)\n ).toBigInt, avlTree20.remove(coll6, getVar[Coll[Byte]](4.toByte).get).get.digest == tuple44._1.digest, avlTree9.update(\n coll5.filter(\n {(tuple49: (Coll[Byte], Coll[Byte])) => byteArrayToLong(tuple49._2.slice(placeholder[Int](85), placeholder[Int](86))) > placeholder[Long](87) }\n ), coll10\n ).get.digest == coll45(placeholder[Int](88)).digest, allOf(\n Coll[Boolean](\n blake2b256(box46.propositionBytes) == coll4(placeholder[Int](89)).get.slice(placeholder[Int](90), placeholder[Int](91)), box46.value >= SELF.value\n )\n ), allOf(\n Coll[Boolean](\n box41.value == box2.value, box41.tokens == coll3, coll45(placeholder[Int](92)).digest == coll8(placeholder[Int](93)).digest, bool47, bool48, coll42(\n placeholder[Int](94)\n ) == coll11(placeholder[Int](95)), coll42.slice(placeholder[Int](96), coll42.size) == coll11.slice(placeholder[Int](97), i12), box41.R6[\n Coll[Coll[Long]]\n ].get == coll22, bool48, bool47, box41.R8[Coll[Coll[Long]]].get == coll37\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "e17accc2c6c7bc7f3b5d6ac530c0805a24edd03bc71477e1780f69e9cefb82b5",
"mainChain": true
},
{
"boxId": "0c38dce4f6e70d61a382d78a477032368039dbfd49c9499e620c3c1e61dca2c5",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 8,
"globalIndex": 29224626,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val box2 = CONTEXT.dataInputs(placeholder[Int](1))\n val coll3 = box2.R4[AvlTree].get.getMany(\n Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n )\n val box4 = OUTPUTS(placeholder[Int](5))\n val box5 = INPUTS(placeholder[Int](6))\n val coll6 = box5.tokens(placeholder[Int](7))._1\n val box7 = OUTPUTS(placeholder[Int](8))\n val box8 = INPUTS(placeholder[Int](9))\n val coll9 = box8.tokens\n val coll10 = box7.R4[Coll[AvlTree]].get\n val coll11 = box8.R4[Coll[AvlTree]].get\n val avlTree12 = coll11(placeholder[Int](10))\n val coll13 = avlTree12.get(coll6, getVar[Coll[Byte]](2.toByte).get).get\n val coll14 = longToByteArray(\n max(box1.R5[Coll[Long]].get(placeholder[Int](11)), byteArrayToLong(coll13.slice(placeholder[Int](12), placeholder[Int](13))))\n ).append(coll13.slice(placeholder[Int](14), coll13.size))\n val avlTree15 = coll11(placeholder[Int](15))\n val opt16 = avlTree15.get(coll6, getVar[Coll[Byte]](4.toByte).get)\n val bool17 = opt16.isDefined\n val opt18 = box1.R6[AvlTree].get.get(coll6, getVar[Coll[Byte]](1.toByte).get)\n val bool19 = opt18.isDefined\n val l20 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](16), placeholder[Int](17))) } else { placeholder[Long](18) }\n val l21 = if (bool19) { l20 } else { l20 + placeholder[Long](19) }\n val l22 = if (bool17) { byteArrayToLong(opt16.get.slice(placeholder[Int](20), placeholder[Int](21))) } else { placeholder[Long](22) }\n val coll23 = box5.R5[Coll[Byte]].get\n val l24 = coll23.indices.slice(placeholder[Int](23), coll23.size / placeholder[Int](24)).map(\n {(i24: Int) => byteArrayToLong(coll23.slice(i24 * placeholder[Int](25), i24 + placeholder[Int](26) * placeholder[Int](27))) }\n ).fold(placeholder[Long](28), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 })\n val l25 = if (bool19) {(\n val coll25 = opt18.get\n l22 - coll25.indices.slice(placeholder[Int](29), coll25.size / placeholder[Int](30)).map(\n {(i26: Int) => byteArrayToLong(coll25.slice(i26 * placeholder[Int](31), i26 + placeholder[Int](32) * placeholder[Int](33))) }\n ).fold(placeholder[Long](34), {(tuple26: (Long, Long)) => tuple26._1 + tuple26._2 }) + l24\n )} else { l22 + l24 }\n val coll26 = longToByteArray(l21).append(longToByteArray(l25))\n val coll27 = getVar[Coll[Byte]](5.toByte).get\n val coll28 = box7.R5[Coll[Long]].get\n val coll29 = box8.R5[Coll[Long]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](35))._1 == coll3(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38)), allOf(\n Coll[Boolean](\n blake2b256(box4.propositionBytes) == coll3(placeholder[Int](39)).get.slice(placeholder[Int](40), placeholder[Int](41)), box4.value >= SELF.value\n )\n ), OUTPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll6, allOf(\n Coll[Boolean](\n box7.value == box8.value, box7.tokens == coll9, coll10(placeholder[Int](44)).digest == avlTree12.update(\n Coll[(Coll[Byte], Coll[Byte])]((coll6, coll14)), getVar[Coll[Byte]](3.toByte).get\n ).get.digest, coll10(placeholder[Int](45)).digest == if (bool17) {\n avlTree15.update(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get\n } else { avlTree15.insert(Coll[(Coll[Byte], Coll[Byte])]((coll6, coll26)), coll27).get }.digest, coll28(placeholder[Int](46)) == coll29(\n placeholder[Int](47)\n ), coll28(placeholder[Int](48)) == coll29(placeholder[Int](49)), coll28(placeholder[Int](50)) == coll29(placeholder[Int](51)), coll28(\n placeholder[Int](52)\n ) == coll29(placeholder[Int](53)) + l21 - l20, coll28(placeholder[Int](54)) == coll29(placeholder[Int](55)) + l25 - l22, coll28.slice(\n placeholder[Int](56), coll28.size\n ) == coll29.slice(placeholder[Int](57), coll29.size), box7.R6[Coll[Coll[Long]]].get == box8.R6[Coll[Coll[Long]]].get, box7.R7[\n Coll[(AvlTree, AvlTree)]\n ].get == box8.R7[Coll[(AvlTree, AvlTree)]].get, box7.R8[Coll[Coll[Long]]].get == box8.R8[Coll[Coll[Long]]].get\n )\n ), coll9(placeholder[Int](58))._1 == coll3(placeholder[Int](59)).get.slice(placeholder[Int](60), placeholder[Int](61)), box2.tokens(\n placeholder[Int](62)\n )._1 == placeholder[Coll[Byte]](63), getVar[Coll[Byte]](6.toByte).get == coll14, getVar[Coll[Byte]](7.toByte).get == coll26\n )\n )\n )\n}",
"address": "8rvGef3C7PFd9pL1N1uANKfymaHjn3nhePqmdVz8bGnQAVn23TQY9EDqYzYtv8aLSftVJXNgxAEVNc8dDBZX488tozAqBZQ7frYhXMsSwnFjZdWcZrp8FfPYbWXNfkX1usCQfg7LhNkuYKBv6fXFL8V93VmY6kJA6NzxgTBo2BDw6wQMnCCSJbRMqJEQ7W6dirF3gAryTrgPUYnqNcKY593MkYUNM9xHtS5Zpmi3LiQ2PDyyrDaPAmjLhYqwBB6fub5EChZ649ZpKoK4HCxapEeTVsxa1CibnnhW2xZ5VBA5GuUALVE3z2fSNMCGtjEHJ9G8VN8nm37bDpwkk76BqS61FUeC7fMfy7cubZouPzTZxSbacQ2NBT8c5ghx9HrteZdSv8McPDzYw4hMh1EJZkFnPLTm6w9VryRoxnfbsfe7pMzM3xDcUpnhKumkiCEfNA1PKnfPfZS2AdpMLs8QQZhEX8siADt2EBAFwfKp4KQHGpK5wk6VSCfheKmGpjg3LtEcrsx5BRKpMUE3sqQePJKT1inr5Qbv3ZN4EfmpbiQ4scMwNvz8MuPfqKwP8rERcdngcdM4BqioKFTkKtrM9R1ZKFmZUPn335qXtmL5mhJZuimkPEG7tVHJrn15if9bSVoMg42pwLAFghxiBV6D84nP2qnkQfHNuYrW2secKb9d9upw77UpAXwhxk3tpjsJPCt2P1xDHqtvwZSvMD1fYvmZSH21QA8wtwbFDpxmWB1uW1grHujv9emosPihqQ7LdkEJbCqpbY3ufsAhnAS2Hy2vvgRTG5hbjpdXZp3cUn4UCEGR1jMq7fRAPpB37q78RcLDUrDfDwkEzgPim5A5fCNpS9qTo4DvrUaQLyu8jrhdTpq2vjstKu8NBcPZmjpirw2AN41FRzXQo9X2q6Pkhs7sg3fWZsSk1sCdaXeh9CrFvrKg3V88woYufnDoVqQmpFkBePQKQM2w93soWQ3HCrhC9M9fGhMHh28ZuNSd1jDfnP1MqwM2znpxdu2XC1e6txRuSjYLa84VxHz1T2dmhuq6MYFWZ1zwUGek6RM3fd8GMx985Rjo1XhqHDmFofjap7u3Z1GMzujQjhZtZa18GgEbiABauwpU5AFSoX2NXNJbgg9nZAizyfx4JEVJ3A72EoXqBiqRtkzaQW4GWaCqcKESXJkzqYzYgrdabGrXDwVmuCsfbmWkH3bjRy29AdvKPC7468bgyAbS3K1hpBTezFMckAMA1f5W16bPNwzq2iDCLJfjgzaRyLR6K5Yp8DXWFL8tv8T4t6i2VteJYyg3a5EyaUvgY5V9WP1YpcgUE3vfNqJzHpUxFjyUGxK6SeUZoCJ4Yy5pc5aiCBP4KChepoPpUiT7cA6KyfVVjaB2KnehjnQH6FnDr1sZk4mnsmyMoTz6Q9k4aByC843vicDeNoVax7irhpoSYgTp38P",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "4af576e0bf2327bafd17a5a595e7d5b1c36a9ce68e5a582f614a73771ba921aa",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 9,
"globalIndex": 29224627,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 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)\n3: 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)\n4: 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)\n5: 0\n6: 5\n7: 2\n8: 0\n9: 6\n10: 37\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 1\n17: 5\n18: 4\n19: 0\n20: 1\n21: 1\n22: 1\n23: 0\n24: Coll(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\n25: 0\n26: 0\n27: 6\n28: 38\n29: 0\n30: 5\n31: 0\n32: 5\n33: 0\n34: 1\n35: 1\n36: 0\n37: 0\n38: 0\n39: 2\n40: 2\n41: -1\n42: 2\n43: 0\n44: 0\n45: -3\n46: 0\n47: 2\n48: 0\n49: 1\n50: 1\n51: 33",
"ergoTreeScript": "{\n val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = box2.tokens\n val coll4 = box1.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 box5 = OUTPUTS(placeholder[Int](5))\n val coll6 = box5.R5[Coll[Long]].get\n val coll7 = box2.R5[Coll[Long]].get\n val l8 = box5.value - box2.value\n val coll9 = coll6.slice(placeholder[Int](6), coll6.size)\n val i10 = coll7.size\n val coll11 = coll4(placeholder[Int](7)).get\n val coll12 = coll11.slice(placeholder[Int](8), coll11.size - placeholder[Int](9) / placeholder[Int](10)).indices\n val coll13 = coll12.map(\n {(i13: Int) =>\n coll11.slice(\n placeholder[Int](11) + placeholder[Int](12) * i13 + placeholder[Int](13), placeholder[Int](14) + placeholder[Int](15) * i13 + placeholder[Int](16)\n )\n }\n )\n val coll14 = coll7.slice(placeholder[Int](17), i10).append(\n coll13.slice(i10 - placeholder[Int](18), coll12.size).map({(coll14: Coll[Byte]) => placeholder[Long](19) })\n )\n val coll15 = box5.tokens\n val l16 = coll15(placeholder[Int](20))._2 - coll3(placeholder[Int](21))._2\n val i17 = coll3.size\n val i18 = coll15.size\n val box19 = OUTPUTS(placeholder[Int](22))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24), allOf(\n Coll[Boolean](\n coll3(placeholder[Int](25))._1 == coll4(placeholder[Int](26)).get.slice(placeholder[Int](27), placeholder[Int](28)), box5.R4[\n Coll[AvlTree]\n ].get == box2.R4[Coll[AvlTree]].get, coll6.slice(placeholder[Int](29), placeholder[Int](30)) == coll7.slice(\n placeholder[Int](31), placeholder[Int](32)\n ), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[Coll[(AvlTree, AvlTree)]].get == box2.R7[\n Coll[(AvlTree, AvlTree)]\n ].get, box5.R8[Coll[Coll[Long]]].get == box2.R8[Coll[Coll[Long]]].get\n )\n ), (l8 >= placeholder[Long](33)) && (coll9(placeholder[Int](34)) - coll14(placeholder[Int](35)) == l8), (l16 >= placeholder[Long](36)) && (\n coll9(placeholder[Int](37)) - coll14(placeholder[Int](38)) == l16\n ), coll3.slice(placeholder[Int](39), i17).zip(coll15.slice(placeholder[Int](40), i17)).forall({(tuple20: ((Coll[Byte], Long), (Coll[Byte], Long))) =>\n val tuple22 = tuple20._1\n val coll23 = tuple22._1\n val tuple24 = tuple20._2\n val i25 = coll13.indexOf(coll23, placeholder[Int](41))\n val l26 = tuple24._2 - tuple22._2\n val i27 = i25 + placeholder[Int](42)\n allOf(Coll[Boolean](coll23 == tuple24._1, i25 >= placeholder[Int](43), l26 == coll9(i27) - coll14(i27), l26 >= placeholder[Long](44)))\n }), coll15.slice(i17, i18).forall({(tuple20: (Coll[Byte], Long)) =>\n val i22 = coll13.indexOf(tuple20._1, placeholder[Int](45))\n val l23 = tuple20._2\n allOf(Coll[Boolean](i22 >= placeholder[Int](46), l23 == coll9(i22 + placeholder[Int](47)), l23 >= placeholder[Long](48)))\n }), i18 >= i17, allOf(\n Coll[Boolean](\n blake2b256(box19.propositionBytes) == coll4(placeholder[Int](49)).get.slice(placeholder[Int](50), placeholder[Int](51)), box19.value >= SELF.value\n )\n )\n )\n )\n )\n}",
"address": "2Hu3wyQjaUcko5HWwRFMTvH2fyycEPvdTqHzXfSQ9BFBfXs4H2sBFRw1Ji96RnodTVcJAv66ykkmyg9Gkdov28zduLnRiNHj8idgDXo6gMGfad1K43KppUqZ7g3J2kavLCq5jN8ZF4LbPW46uGQ5b7Dqkio8AL6sgyFyPsfztqR6XXVGW8mVKbR3txbsnFwvcqM6ULve78vpmW259MMcwKaXrTUQAnFt9YE1Z73MJxmMJCxikqLJyV6nVjcqdCg398ij6sP9whPb8QgwuJXYe92e1uDmyCuWv5K9twhetmnZXkT83wycsprHggkcdaYwV8WM13wGoe8a4uf5MSgonR5Q3azXtxeauVEX8eVZcsdKoy6fSQBuzeji7tXHkWXHdfnBq3HdoQRHEbDiMvyTKw2b3ztyLxFiW5hddSbshBtwoBw2eccFRdMyRUp8fd9j6FEGhVNTJfWw6u8i1qsu1xuXuB5EWzwxy47HDWLm9XmJg2YszajZFtEDBUgecpe1NYjC1qY9Z7F5aWx1vUJ8hYPGYhR4293TwqTotbKSi8YeuuqtmY9VibP1Q57aX4K1J1FM4ZJRCvFwkmrgGqc9CJtUGmNVtoi4AJFiwRsV9sRHcz6zUiR6jjyFpJUWuDv9rDjF3Npc5H3govyCLPZbA1Pfo7VkNan9LLk8DKmcNsMdB9ik8ccc1DVKJyaKTQUg4PmHK2AX5iccdLYRahBmo9paPXSc1k5U7TrN8NaNxnBrBjhqT8dntcroVcJJpd7Btx3XDLJsVxe2i179VqwmLhRR22vKMtPgiXnJGXa9GBumCS6tdGnJPAzzokDMSqg8tepeZnLfxnDAEihj5m46QgQtpNPS8zEncnkZzAERvQjA8ULFpUTxdbHVyRfswubNaU8uCvvPXyZoPogUQbpMfCzveMco7wA6rx7hr7EoAsqmfizEHmfM612Y62ddz5md5bVZbvWKraVLGnyvmjvNzMouqHVpKXU1RtQNZXT7PKw9VrzWRgugbM2CiF3zupmsZrKr2i3Rrx26JsXrqtaKpGQCqBprx1vmhpcUYd5Lf2pG6DjsQFNNaCrg3kxmhTtLUTNKmM3uZ1Z9ZtLJjrfvjkELL6jZDpXhbeMyCHRM1UJbkgbNM3LXBLtmLtx",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7f79b938866e1f31ca2b125734ad2474af4b58bbad2102352b97f9820a2bcc2c",
"mainChain": true
},
{
"boxId": "d5b61f509cfee0e7eca3282f31adeae9368604b1b5ec72dd895377dc4d96bde5",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 2000000,
"index": 10,
"globalIndex": 29224628,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"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(49,80,-16,-14,-119,57,-91,50,70,-120,112,67,7,54,-87,44,18,49,19,-38,-5,-93,-5,2,-34,-9,87,-81,123,-121,-15,-114)\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": "30fb30ef8f8cedda7ded3cb0943c2885b4c2d1e3f421a14ee5b09f21a688ce06",
"index": 0,
"amount": 1,
"name": "bPaideia Stake State",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 1,
"amount": 1000000000001,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1107d0c4f1f38562000000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1684419785000,0,0,0,0,0,0]"
},
"R6": {
"serializedValue": "1d0504000000000400000000040000000004141414140414141414",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0,0,0],[0,0,0,0],[0,0,0,0],[10,10,10,10],[10,10,10,10]]"
},
"R8": {
"serializedValue": "1d04020000020000020000020000",
"sigmaType": "Coll[Coll[SLong]]",
"renderedValue": "[[0,0],[0,0],[0,0],[0,0]]"
},
"R7": {
"serializedValue": "0c3c6464044ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
},
"R4": {
"serializedValue": "0c64024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": "e52115c0e0ae71bbbadb186688080c3b0b2de91e23638243ba75aaba1a5adba2",
"mainChain": true
},
{
"boxId": "3cb5c8541974af22f8bee9789e01f52a87bf0ffbec211292bf4cbdce6766de97",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1000000,
"index": 11,
"globalIndex": 29224629,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"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": "5d6b09894007132e5e73f61ac94bab12a2ed00192b4ffa9f5fcebea0d46e02ef",
"mainChain": true
},
{
"boxId": "38cc626d674c042a8171863d8e3a5801a19d88d60e4f9e7ff7f08e2a3b149092",
"transactionId": "f934d4cacd20406210afa579692ab450313bdc19f9789791627a5e0918d7a531",
"blockId": "46a55d64366a87aee1573ea0f9eb8cc3e9bb1cbe375d75842a381c44d8b0f2f0",
"value": 1436443922,
"index": 12,
"globalIndex": 29224630,
"creationHeight": 1006454,
"settlementHeight": 1006456,
"ergoTree": "0008cd02e4cb952261186ec0fd2dc4c2baa8dbfd9c8f6012c5efa9f702f9450a58fe221e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e4cb95,7c781d,...)))}",
"address": "9gFpnLUGwRyohhoh5CXQS8eNdranNyNVGreCmc4xFYHPg5JUGWL",
"assets": [
{
"tokenId": "2cbd1b0a99ffa349da735b75e2d77ec41f4c6a98193a8c79918036be9f8242a0",
"index": 0,
"amount": 998999998999,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "43152a55e452d15b3de42f0a7ac42e4e3f7dc3fed181cf78733974a809f48fb7",
"mainChain": true
}
],
"size": 11486,
"isUnconfirmed": false
}