Transaction
ID: 237e47afce...59ff
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
16.37
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
4.64 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
4.64 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 400,527
Total coins transferred: 4.65 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000375 ERG
Raw Transaction Data
{
"id": "237e47afce713dc28db2b2ebe8d680fd5532d9fb2a015d51d89482ba81cc59ff",
"blockId": "85c4ac55c6f2e445fc6daba755fda49034e9b5b7dc8bdaff8404398a25dbb93f",
"inclusionHeight": 1356435,
"timestamp": 1726855885452,
"index": 2,
"globalIndex": 7814213,
"numConfirmations": 400527,
"inputs": [
{
"boxId": "63c6b13991af5483469cb33b0e1eb06dda36db07dd119292c3797943497112d2",
"value": 4000000,
"index": 0,
"spendingProof": "d3baac54d39e8e354e037e465e065e1d9389844e41a97ab187a4d4ee01830a5e69a7952754da889fe6c30a4a35ac3f81db9a072296005931",
"outputBlockId": "9d91c95eb752807b2749c062027fd1613d9298abb93232ad367a7c0e78bded63",
"outputTransactionId": "034e9a9f05c1f0ee2f3871fd889484186bb4e335e1e92530176ababe95ff6411",
"outputIndex": 0,
"outputGlobalIndex": 42700684,
"outputCreatedAt": 1351376,
"outputSettledAt": 1351379,
"ergoTree": "104204000400060101040204020400058084af5f058084af5f040404020400058084af5f058084af5f058084af5f0e2013badb3b0c304a6d5859f70ac341d5b2b4ceb0be4c640ae6d1ad3a8a1edf6285040004000e205255c5b1da74994236ee5d737516d02839f43cc6b61b206e1dc19ed39d9c11b80400040004000406040404d00f04040601640480a4e8030402040004020400040004020e207125e48e608d13d4654b0e2ccd197a40a6d206549968c376ce07c030f4b158f30580897a04000601020406040404d00f04040601640480a4e8030480897a0404040001000404040604020406040404d00f04040601640480a4e8030400058084af5f0580897a058092f4010580c2d72f0580897a058084af5f040a01000100d825d601b2a4730000d602e4c6a70807d603c2a7d604c1a7d605db6308a7d606b27205730100d607db6501fed608e4c6a70659d6098c720801d60a7302d60bb27205730300d60c8c720b02d60d7e720c06d60eb27207730400d60fe4c6720e0411d610b1720fd611e4c6a70558d6128c721101d613b27207730500d614e4c672130411d615b0b472148c721102b172147306d90115599d9c8c7215018c7215027307d616b27207730800d617e4c672160411d6187e9593721072127215d802d6189a72127309d619b0b47217730ab172177215d90119599d9c8c7219018c721902730b9593721072187219b0b4720f721872107219d9011a599d9c8c721a018c721a02730c06d619730dd61a9a720a9d9c720d72187e721906d61be4c6a7040ed61ce4c6a7070ed61de4c6a70959d61e8c721d01d61f8c721d02d620730ed621938cb2db63087213730f00017220d62293e4c6721306047212d623938cb2db6308720e731000017311d624ed938cb2db6308721673120001722093e4c6721606047210d6258c720b0195937201a7d80ad626b2a5731300d627db63087226d628b27227731400d629b27207731500d62a7e8c72280206d62b7ee4c67229040406d62cdb63087229d62d7e8cb2722c7316000206d62e7317d62fe4c672260959ea02cd7202d1edededededededededed93c27226720392c172267204938c7228018c72060191999d9c9c7ec1722906722a722b9a9c9a722d9d9c722d7e73180673197e722e069c722a722b7e731a069d9c721a7e7209067e722e0693b27227731b00720bedededededed93e4c67226040e721b93e4c672260558721193e4c672260659720893e4c67226070e721c93e4c6722608077202938c722f01721e938c722f02721f722172227223938cb2722c731c0001721c72249593b2a4731d00a7d80ed626b2a5731e00d627c27226d628db63087226d629b27228731f00d62a9372297206d62bb2a5732000d62c93cbc2722b7321d62dc1722bd62e7e722d06d62f7322d630b2db6308722b732300d631937230720bd632db63087201d633c17226d1ececedededededededed937227721b722a722c92722ea29a721a7e722f069c73247e722f06723172217222722372249592b172327325d808d6347e8c72060206d6357ee4c67201040406d6367e8cb272327326000206d6377327d638999d9c9c7ec1720106723472359a9c9a72369d9c72367e73280673297e7237069c723472357e732a06d639997238721ad63a7e8c72080206d63b9d9c7239997e723706723a7e723706ededededededededeced9072389d9c721a7e7209067e723706917ea305721f917ea305721e722c958f723b7e732b0692722e7238d801d63cb2a5732c00eded92722e9a721a9d9c7239723a7e723706927ec1723c06723b93c2723c721b7231938cb27232732d0001721c7221722272237224732e95ed92b17228732f8fb1db630872017330d811d634e4c672260959d6358c723402d6369372277203d637b27228733100d6388c723702d6397e723806d63aededededed93e4c67226040e721b93e4c672260558721193e4c672260659720893e4c67226070e721c93e4c6722608077202938c723401721ed63bb27207733200d63c7e8c72290206d63d7ee4c6723b040406d63edb6308723bd63f7e8cb2723e7333000206d6407334d641999d9c9c7ec1723b06723c723d9a9c9a723f9d9c723f7e73350673367e7240069c723c723d7e733706d6429a720a9d9c723972187e721906d6439d9c72427e7209067e724006d644938cb2723e73380001721c959372357339edededededededededededededededed72369272337204722a938c723701722592723999720d9d9c7e99722d733a067e7219067218723a93721f7235722c92722d733bed938c72300299720c7238938c72300172257221722272237224927241724372449272427e733c06ededededededededededed8f724172437236927233997204733d937228720593721f733e723a72217222722372247244ed9172357ea3058f72357e9aa3733f057340d17341",
"ergoTreeConstants": "0: 0\n1: 0\n2: CBigInt(1)\n3: 1\n4: 1\n5: 0\n6: 100000000\n7: 100000000\n8: 2\n9: 1\n10: 0\n11: 100000000\n12: 100000000\n13: 100000000\n14: Coll(19,-70,-37,59,12,48,74,109,88,89,-9,10,-61,65,-43,-78,-76,-50,-80,-66,76,100,10,-26,-47,-83,58,-118,30,-33,98,-123)\n15: 0\n16: 0\n17: Coll(82,85,-59,-79,-38,116,-103,66,54,-18,93,115,117,22,-48,40,57,-12,60,-58,-74,27,32,110,29,-63,-98,-45,-99,-100,17,-72)\n18: 0\n19: 0\n20: 0\n21: 3\n22: 2\n23: 1000\n24: 2\n25: CBigInt(100)\n26: 4000000\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 1\n33: Coll(113,37,-28,-114,96,-115,19,-44,101,75,14,44,-51,25,122,64,-90,-46,6,84,-103,104,-61,118,-50,7,-64,48,-12,-79,88,-13)\n34: 1000000\n35: 0\n36: CBigInt(2)\n37: 3\n38: 2\n39: 1000\n40: 2\n41: CBigInt(100)\n42: 4000000\n43: 1000000\n44: 2\n45: 0\n46: false\n47: 2\n48: 3\n49: 1\n50: 3\n51: 2\n52: 1000\n53: 2\n54: CBigInt(100)\n55: 4000000\n56: 0\n57: 100000000\n58: 1000000\n59: 2000000\n60: 50000000\n61: 1000000\n62: 100000000\n63: 5\n64: false\n65: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val ge2 = SELF.R8[GroupElement].get\n val coll3 = SELF.propositionBytes\n val l4 = SELF.value\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val tuple8 = SELF.R6[(Long, Long)].get\n val l9 = tuple8._1\n val bi10 = placeholder[BigInt](2)\n val tuple11 = coll5(placeholder[Int](3))\n val l12 = tuple11._2\n val bi13 = l12.toBigInt\n val box14 = coll7(placeholder[Int](4))\n val coll15 = box14.R4[Coll[Long]].get\n val i16 = coll15.size\n val tuple17 = SELF.R5[(Int, Int)].get\n val i18 = tuple17._1\n val box19 = coll7(placeholder[Int](5))\n val coll20 = box19.R4[Coll[Long]].get\n val l21 = coll20.slice(tuple17._2, coll20.size).fold(placeholder[Long](6), {(tuple21: (Long, Long)) => tuple21._1 * tuple21._2 / placeholder[Long](7) })\n val box22 = coll7(placeholder[Int](8))\n val coll23 = box22.R4[Coll[Long]].get\n val bi24 = if (i16 == i18) { l21 } else {(\n val i24 = i18 + placeholder[Int](9)\n val l25 = coll23.slice(placeholder[Int](10), coll23.size).fold(l21, {(tuple25: (Long, Long)) => tuple25._1 * tuple25._2 / placeholder[Long](11) })\n if (i16 == i24) { l25 } else { coll15.slice(i24, i16).fold(l25, {(tuple26: (Long, Long)) => tuple26._1 * tuple26._2 / placeholder[Long](12) }) }\n )}.toBigInt\n val l25 = placeholder[Long](13)\n val bi26 = bi10 + bi13 * bi24 / l25.toBigInt\n val coll27 = SELF.R4[Coll[Byte]].get\n val coll28 = SELF.R7[Coll[Byte]].get\n val tuple29 = SELF.R9[(Long, Long)].get\n val l30 = tuple29._1\n val l31 = tuple29._2\n val coll32 = placeholder[Coll[Byte]](14)\n val bool33 = box19.tokens(placeholder[Int](15))._1 == coll32\n val bool34 = box19.R6[Int].get == i18\n val bool35 = box14.tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17)\n val bool36 = (box22.tokens(placeholder[Int](18))._1 == coll32) && (box22.R6[Int].get == i16)\n val coll37 = tuple11._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val coll39 = box38.tokens\n val tuple40 = coll39(placeholder[Int](20))\n val box41 = coll7(placeholder[Int](21))\n val bi42 = tuple40._2.toBigInt\n val bi43 = box41.R4[Int].get.toBigInt\n val coll44 = box41.tokens\n val bi45 = coll44(placeholder[Int](22))._2.toBigInt\n val i46 = placeholder[Int](23)\n val tuple47 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((box38.propositionBytes == coll3) && (box38.value >= l4)) && (tuple40._1 == tuple6._1)) && (\n box41.value.toBigInt * bi42 * bi43 / bi45 + bi45 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i46.toBigInt + bi42 * bi43 - placeholder[Int](26).toBigInt > bi26 * l9.toBigInt / i46.toBigInt\n )\n ) && (coll39(placeholder[Int](27)) == tuple11)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (\n box38.R7[Coll[Byte]].get == coll28\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple47._1 == l30)\n ) && (tuple47._2 == l31)\n )\n ) && bool33\n ) && bool34\n ) && bool35\n ) && (coll44(placeholder[Int](28))._1 == coll28)\n ) && bool36\n )\n )} else { if (INPUTS(placeholder[Int](29)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](30))\n val coll39 = box38.propositionBytes\n val coll40 = box38.tokens\n val tuple41 = coll40(placeholder[Int](31))\n val bool42 = tuple41 == tuple6\n val box43 = OUTPUTS(placeholder[Int](32))\n val bool44 = blake2b256(box43.propositionBytes) == placeholder[Coll[Byte]](33)\n val l45 = box43.value\n val bi46 = l45.toBigInt\n val l47 = placeholder[Long](34)\n val tuple48 = box43.tokens(placeholder[Int](35))\n val bool49 = tuple48 == tuple11\n val coll50 = box1.tokens\n val l51 = box38.value\n sigmaProp(((((((((((coll39 == coll27) && bool42) && bool44) && (bi46 >= max(bi26 + l47.toBigInt, placeholder[BigInt](36) * l47.toBigInt))) && bool49) && bool33) && bool34) && bool35) && bool36) || if (coll50.size >= placeholder[Int](37)) {(\n val bi52 = tuple6._2.toBigInt\n val bi53 = box1.R4[Int].get.toBigInt\n val bi54 = coll50(placeholder[Int](38))._2.toBigInt\n val i55 = placeholder[Int](39)\n val bi56 = box1.value.toBigInt * bi52 * bi53 / bi54 + bi54 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i55.toBigInt + bi52 * bi53 - placeholder[Int](42).toBigInt\n val bi57 = bi56 - bi26\n val bi58 = tuple8._2.toBigInt\n val bi59 = bi57 * i55.toBigInt - bi58 / i55.toBigInt\n ((((((((((bi56 <= bi26 * l9.toBigInt / i55.toBigInt) && (HEIGHT.toLong > l31)) || (HEIGHT.toLong > l30)) && bool44) && if (bi59 < placeholder[Int](43).toBigInt) { bi46 >= bi56 } else {(\n val box60 = OUTPUTS(placeholder[Int](44))\n ((bi46 >= bi26 + bi57 * bi58 / i55.toBigInt) && (box60.value.toBigInt >= bi59)) && (box60.propositionBytes == coll27)\n )}) && bool49) && (coll50(placeholder[Int](45))._1 == coll28)) && bool33) && bool34) && bool35) && bool36\n )} else { placeholder[Boolean](46) }) || if ((coll40.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple52 = box38.R9[(Long, Long)].get\n val l53 = tuple52._2\n val bool54 = coll39 == coll3\n val tuple55 = coll40(placeholder[Int](49))\n val l56 = tuple55._2\n val bi57 = l56.toBigInt\n val bool58 = (((((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (box38.R7[Coll[Byte]].get == coll28)) && (box38.R8[GroupElement].get == ge2)) && (tuple52._1 == l30)\n val box59 = coll7(placeholder[Int](50))\n val bi60 = tuple41._2.toBigInt\n val bi61 = box59.R4[Int].get.toBigInt\n val coll62 = box59.tokens\n val bi63 = coll62(placeholder[Int](51))._2.toBigInt\n val i64 = placeholder[Int](52)\n val bi65 = box59.value.toBigInt * bi60 * bi61 / bi63 + bi63 * placeholder[Int](53).toBigInt / placeholder[BigInt](54) * i64.toBigInt + bi60 * bi61 - placeholder[Int](55).toBigInt\n val bi66 = bi10 + bi57 * bi24 / l25.toBigInt\n val bi67 = bi66 * l9.toBigInt / i64.toBigInt\n val bool68 = coll62(placeholder[Int](56))._1 == coll28\n if (l53 == placeholder[Long](57)) { (((((((((((((((bool54 && (l51 >= l4)) && bool42) && (tuple55._1 == coll37)) && (bi57 >= bi13 - l45 - placeholder[Long](58).toBigInt * l25.toBigInt / bi24)) && bool58) && (l31 == l53)) && bool44) && (l45 >= placeholder[Long](59))) && ((tuple48._2 == l12 - l56) && (tuple48._1 == coll37))) && bool33) && bool34) && bool35) && bool36) && (bi65 >= bi67)) && bool68) && (bi66 >= placeholder[Long](60).toBigInt) } else { (((((((((((bi65 < bi67) && bool54) && (l51 >= l4 - placeholder[Long](61))) && (coll40 == coll5)) && (l31 == placeholder[Long](62))) && bool58) && bool33) && bool34) && bool35) && bool36) && bool68) && ((l53 > HEIGHT.toLong) && (l53 < HEIGHT + placeholder[Int](63).toLong)) }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 0,
"amount": 5000000,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "d90d4000ed4b826856b93fc3d1e2c10ecb8a08dc0172fe72f58c43d28e681b49",
"index": 1,
"amount": 800000000000,
"name": "Borrow Token ERG-0e",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "580abe02",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[5,159]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
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"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "11068084af5fdebdbf6088d18460ace3e15f86b19460d0c5b360",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,101183343,100701252,100415702,100830275,101085544]"
}
}
},
{
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"index": 2,
"outputBlockId": "e9a08f7c4cf1c693e9ab347272642c602d9bc4794b9fa502ec5d046c817f2a34",
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"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0584caa501",
"sigmaType": "SLong",
"renderedValue": "1356418"
},
"R6": {
"serializedValue": "040c",
"sigmaType": "SInt",
"renderedValue": "6"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "110b8084af5fa8b4af5fa8b4af5fa8b4af5fa8b4af5fa8b4af5fa8b4af5feca5af5feca5af5feca5af5f9e9eaf5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,100003092,100003092,100003092,100003092,100003092,100003092,100002166,100002166,100002166,100001679]"
}
}
},
{
"boxId": "f7cff54a76feb2c91343258bb1cf82da197f094eb406aa7846bfeff6c9dc2860",
"value": 34153637263572,
"index": 3,
"outputBlockId": "bb5da0275fd5dc19ad769682bb93b9febe0471fe0b3788ea818383547f2d88a0",
"outputTransactionId": "bec3e5595539d62a167eed3a4a7c2f8af652706cd59a298cda44ddd73fe70992",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
}
],
"outputs": [
{
"boxId": "89af82ceca661940b9646d62c04051500e35f2be6527bb5c21ca06cec595baed",
"transactionId": "237e47afce713dc28db2b2ebe8d680fd5532d9fb2a015d51d89482ba81cc59ff",
"blockId": "85c4ac55c6f2e445fc6daba755fda49034e9b5b7dc8bdaff8404398a25dbb93f",
"value": 4000000,
"index": 0,
"globalIndex": 42818498,
"creationHeight": 1356433,
"settlementHeight": 1356435,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: CBigInt(1)\n3: 1\n4: 1\n5: 0\n6: 100000000\n7: 100000000\n8: 2\n9: 1\n10: 0\n11: 100000000\n12: 100000000\n13: 100000000\n14: Coll(19,-70,-37,59,12,48,74,109,88,89,-9,10,-61,65,-43,-78,-76,-50,-80,-66,76,100,10,-26,-47,-83,58,-118,30,-33,98,-123)\n15: 0\n16: 0\n17: Coll(82,85,-59,-79,-38,116,-103,66,54,-18,93,115,117,22,-48,40,57,-12,60,-58,-74,27,32,110,29,-63,-98,-45,-99,-100,17,-72)\n18: 0\n19: 0\n20: 0\n21: 3\n22: 2\n23: 1000\n24: 2\n25: CBigInt(100)\n26: 4000000\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 1\n33: Coll(113,37,-28,-114,96,-115,19,-44,101,75,14,44,-51,25,122,64,-90,-46,6,84,-103,104,-61,118,-50,7,-64,48,-12,-79,88,-13)\n34: 1000000\n35: 0\n36: CBigInt(2)\n37: 3\n38: 2\n39: 1000\n40: 2\n41: CBigInt(100)\n42: 4000000\n43: 1000000\n44: 2\n45: 0\n46: false\n47: 2\n48: 3\n49: 1\n50: 3\n51: 2\n52: 1000\n53: 2\n54: CBigInt(100)\n55: 4000000\n56: 0\n57: 100000000\n58: 1000000\n59: 2000000\n60: 50000000\n61: 1000000\n62: 100000000\n63: 5\n64: false\n65: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val ge2 = SELF.R8[GroupElement].get\n val coll3 = SELF.propositionBytes\n val l4 = SELF.value\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val tuple8 = SELF.R6[(Long, Long)].get\n val l9 = tuple8._1\n val bi10 = placeholder[BigInt](2)\n val tuple11 = coll5(placeholder[Int](3))\n val l12 = tuple11._2\n val bi13 = l12.toBigInt\n val box14 = coll7(placeholder[Int](4))\n val coll15 = box14.R4[Coll[Long]].get\n val i16 = coll15.size\n val tuple17 = SELF.R5[(Int, Int)].get\n val i18 = tuple17._1\n val box19 = coll7(placeholder[Int](5))\n val coll20 = box19.R4[Coll[Long]].get\n val l21 = coll20.slice(tuple17._2, coll20.size).fold(placeholder[Long](6), {(tuple21: (Long, Long)) => tuple21._1 * tuple21._2 / placeholder[Long](7) })\n val box22 = coll7(placeholder[Int](8))\n val coll23 = box22.R4[Coll[Long]].get\n val bi24 = if (i16 == i18) { l21 } else {(\n val i24 = i18 + placeholder[Int](9)\n val l25 = coll23.slice(placeholder[Int](10), coll23.size).fold(l21, {(tuple25: (Long, Long)) => tuple25._1 * tuple25._2 / placeholder[Long](11) })\n if (i16 == i24) { l25 } else { coll15.slice(i24, i16).fold(l25, {(tuple26: (Long, Long)) => tuple26._1 * tuple26._2 / placeholder[Long](12) }) }\n )}.toBigInt\n val l25 = placeholder[Long](13)\n val bi26 = bi10 + bi13 * bi24 / l25.toBigInt\n val coll27 = SELF.R4[Coll[Byte]].get\n val coll28 = SELF.R7[Coll[Byte]].get\n val tuple29 = SELF.R9[(Long, Long)].get\n val l30 = tuple29._1\n val l31 = tuple29._2\n val coll32 = placeholder[Coll[Byte]](14)\n val bool33 = box19.tokens(placeholder[Int](15))._1 == coll32\n val bool34 = box19.R6[Int].get == i18\n val bool35 = box14.tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17)\n val bool36 = (box22.tokens(placeholder[Int](18))._1 == coll32) && (box22.R6[Int].get == i16)\n val coll37 = tuple11._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val coll39 = box38.tokens\n val tuple40 = coll39(placeholder[Int](20))\n val box41 = coll7(placeholder[Int](21))\n val bi42 = tuple40._2.toBigInt\n val bi43 = box41.R4[Int].get.toBigInt\n val coll44 = box41.tokens\n val bi45 = coll44(placeholder[Int](22))._2.toBigInt\n val i46 = placeholder[Int](23)\n val tuple47 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((box38.propositionBytes == coll3) && (box38.value >= l4)) && (tuple40._1 == tuple6._1)) && (\n box41.value.toBigInt * bi42 * bi43 / bi45 + bi45 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i46.toBigInt + bi42 * bi43 - placeholder[Int](26).toBigInt > bi26 * l9.toBigInt / i46.toBigInt\n )\n ) && (coll39(placeholder[Int](27)) == tuple11)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (\n box38.R7[Coll[Byte]].get == coll28\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple47._1 == l30)\n ) && (tuple47._2 == l31)\n )\n ) && bool33\n ) && bool34\n ) && bool35\n ) && (coll44(placeholder[Int](28))._1 == coll28)\n ) && bool36\n )\n )} else { if (INPUTS(placeholder[Int](29)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](30))\n val coll39 = box38.propositionBytes\n val coll40 = box38.tokens\n val tuple41 = coll40(placeholder[Int](31))\n val bool42 = tuple41 == tuple6\n val box43 = OUTPUTS(placeholder[Int](32))\n val bool44 = blake2b256(box43.propositionBytes) == placeholder[Coll[Byte]](33)\n val l45 = box43.value\n val bi46 = l45.toBigInt\n val l47 = placeholder[Long](34)\n val tuple48 = box43.tokens(placeholder[Int](35))\n val bool49 = tuple48 == tuple11\n val coll50 = box1.tokens\n val l51 = box38.value\n sigmaProp(((((((((((coll39 == coll27) && bool42) && bool44) && (bi46 >= max(bi26 + l47.toBigInt, placeholder[BigInt](36) * l47.toBigInt))) && bool49) && bool33) && bool34) && bool35) && bool36) || if (coll50.size >= placeholder[Int](37)) {(\n val bi52 = tuple6._2.toBigInt\n val bi53 = box1.R4[Int].get.toBigInt\n val bi54 = coll50(placeholder[Int](38))._2.toBigInt\n val i55 = placeholder[Int](39)\n val bi56 = box1.value.toBigInt * bi52 * bi53 / bi54 + bi54 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i55.toBigInt + bi52 * bi53 - placeholder[Int](42).toBigInt\n val bi57 = bi56 - bi26\n val bi58 = tuple8._2.toBigInt\n val bi59 = bi57 * i55.toBigInt - bi58 / i55.toBigInt\n ((((((((((bi56 <= bi26 * l9.toBigInt / i55.toBigInt) && (HEIGHT.toLong > l31)) || (HEIGHT.toLong > l30)) && bool44) && if (bi59 < placeholder[Int](43).toBigInt) { bi46 >= bi56 } else {(\n val box60 = OUTPUTS(placeholder[Int](44))\n ((bi46 >= bi26 + bi57 * bi58 / i55.toBigInt) && (box60.value.toBigInt >= bi59)) && (box60.propositionBytes == coll27)\n )}) && bool49) && (coll50(placeholder[Int](45))._1 == coll28)) && bool33) && bool34) && bool35) && bool36\n )} else { placeholder[Boolean](46) }) || if ((coll40.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple52 = box38.R9[(Long, Long)].get\n val l53 = tuple52._2\n val bool54 = coll39 == coll3\n val tuple55 = coll40(placeholder[Int](49))\n val l56 = tuple55._2\n val bi57 = l56.toBigInt\n val bool58 = (((((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (box38.R7[Coll[Byte]].get == coll28)) && (box38.R8[GroupElement].get == ge2)) && (tuple52._1 == l30)\n val box59 = coll7(placeholder[Int](50))\n val bi60 = tuple41._2.toBigInt\n val bi61 = box59.R4[Int].get.toBigInt\n val coll62 = box59.tokens\n val bi63 = coll62(placeholder[Int](51))._2.toBigInt\n val i64 = placeholder[Int](52)\n val bi65 = box59.value.toBigInt * bi60 * bi61 / bi63 + bi63 * placeholder[Int](53).toBigInt / placeholder[BigInt](54) * i64.toBigInt + bi60 * bi61 - placeholder[Int](55).toBigInt\n val bi66 = bi10 + bi57 * bi24 / l25.toBigInt\n val bi67 = bi66 * l9.toBigInt / i64.toBigInt\n val bool68 = coll62(placeholder[Int](56))._1 == coll28\n if (l53 == placeholder[Long](57)) { (((((((((((((((bool54 && (l51 >= l4)) && bool42) && (tuple55._1 == coll37)) && (bi57 >= bi13 - l45 - placeholder[Long](58).toBigInt * l25.toBigInt / bi24)) && bool58) && (l31 == l53)) && bool44) && (l45 >= placeholder[Long](59))) && ((tuple48._2 == l12 - l56) && (tuple48._1 == coll37))) && bool33) && bool34) && bool35) && bool36) && (bi65 >= bi67)) && bool68) && (bi66 >= placeholder[Long](60).toBigInt) } else { (((((((((((bi65 < bi67) && bool54) && (l51 >= l4 - placeholder[Long](61))) && (coll40 == coll5)) && (l31 == placeholder[Long](62))) && bool58) && bool33) && bool34) && bool35) && bool36) && bool68) && ((l53 > HEIGHT.toLong) && (l53 < HEIGHT + placeholder[Int](63).toLong)) }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
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