Transaction
ID: 74bcb14e6d...a791
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.55308548 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00192096 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.55106452 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 125,944
Total coins transferred: 0.55408548 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000285 ERG
Raw Transaction Data
{
"id": "74bcb14e6dab0dfc0be7942096cdfe931d66b1d05a3e084cd0e23693f736a791",
"blockId": "8ae65dbb10b72549ada32ae967b38b8f111366fb81c3e176b9407f25ae6a8ac7",
"inclusionHeight": 1637646,
"timestamp": 1760897479176,
"index": 1,
"globalIndex": 9652750,
"numConfirmations": 125944,
"inputs": [
{
"boxId": "7681f6878d0dcbe39092e0d870cf1d053992135ad86c3330b9bf89869ee77d45",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "73c8f0e9072db7c127545fe00384aa75876d340b7eb071bd30d1909c0caa2ce6",
"outputTransactionId": "86123b7a2dcb6be015e320103f7fac6abe8c0075dac0486bb9979aa93a8157e9",
"outputIndex": 0,
"outputGlobalIndex": 50974584,
"outputCreatedAt": 1637639,
"outputSettledAt": 1637641,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(11,-4,16,-112,109,73,86,11,-17,-112,-39,68,89,102,93,-3,54,91,102,81,-80,107,-62,-67,-107,36,82,121,121,42,67,83)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: true\n9: Coll(110,-120,62,34,92,-1,-115,-118,20,38,11,120,54,124,-30,-65,43,126,-55,71,42,44,-47,70,27,-82,97,88,-18,65,-44,29)\n10: 1\n11: 0\n12: false\n13: true\n14: 10\n15: false\n16: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n17: 0\n18: Coll(-126,-103,-39,-114,21,-21,-18,127,-93,-102,-41,22,-34,124,-117,-79,-111,121,10,27,-12,-73,-61,-7,26,-13,90,14,54,24,119,6)\n19: 0\n20: 0\n21: 1\n22: 1\n23: 0\n24: 1\n25: 2\n26: 3\n27: 3\n28: 4\n29: 30\n30: 1\n31: false\n32: false\n33: false\n34: 2\n35: 0\n36: 5\n37: 1000000\n38: 1000000\n39: Coll(114,105,45,-9,48,-89,-65,56,-77,-42,-39,73,-83,-46,50,-109,111,-59,-50,-71,47,125,-110,-15,44,1,-77,0,90,-56,-120,-47)\n40: 1\n41: 2\n42: 30\n43: 1\n44: 1000000\n45: false",
"ergoTreeScript": "{\n val l1 = HEIGHT.toLong\n val coll2 = SELF.R8[Coll[Long]].get\n val l3 = coll2(placeholder[Int](0))\n val coll4 = placeholder[Coll[Byte]](1)\n val coll5 = SELF.R6[Coll[Byte]].get\n val coll6 = SELF.tokens(placeholder[Int](2))._1\n val l7 = coll2(placeholder[Int](3))\n val l8 = coll2(placeholder[Int](4))\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = SELF.R9[Coll[Byte]].get\n sigmaProp((SELF.R4[Int].get == placeholder[Int](5)) && (if (l1 >= l3) {(\n val coll11 = OUTPUTS.filter({(box11: Box) => blake2b256(box11.propositionBytes) == coll4 })\n if (coll11.size == placeholder[Int](6)) {(\n val box12 = coll11(placeholder[Int](7))\n val tuple13 = box12.R5[(Coll[Byte], Coll[Byte])].get\n val coll14 = tuple13._1\n val coll15 = tuple13._2\n if (((blake2b256(coll14) == coll5) && (blake2b256(box12.propositionBytes) == coll4)) && if (coll15 == Coll[Byte]()) { placeholder[Boolean](8) } else {(\n val coll16 = CONTEXT.dataInputs.filter({(box16: Box) => ((blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](9)) && (box16.R6[Coll[Byte]].get == coll6)) && (box16.R5[Coll[Byte]].get == coll15) })\n if (coll16.size == placeholder[Int](10)) {(\n val box17 = coll16(placeholder[Int](11))\n val coll18 = box17.R9[Coll[Long]].get\n ((coll18.fold(placeholder[Boolean](12), {(tuple19: (Boolean, Long)) =>\n val bool21 = tuple19._1\n if (bool21) { bool21 } else { if (blake2b256(box17.R7[Coll[Byte]].get.append(longToByteArray(tuple19._2)).append(box17.R8[Coll[Byte]].get).append(box17.R4[Coll[Byte]].get).append(coll14)) == box17.R5[Coll[Byte]].get) { placeholder[Boolean](13) } else { bool21 } }\n }) && (box17.value >= l7)) && (box17.creationInfo._1.toLong < l3)) && (coll18.size <= placeholder[Int](14))\n )} else { placeholder[Boolean](15) }\n )}) {(\n val coll16 = SELF.R7[Coll[Coll[Byte]]].get\n val coll17 = CONTEXT.dataInputs.filter({(box17: Box) => ((((((blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](16)) && (box17.tokens.size > placeholder[Int](17))) && (box17.R4[Coll[Byte]].get == placeholder[Coll[Byte]](18))) && (box17.R5[Coll[Byte]].get == coll6)) && box17.R6[Boolean].get) && box17.R8[Boolean].get) && coll16.exists({(coll19: Coll[Byte]) => coll19 == box17.tokens(placeholder[Int](19))._1 }) })\n val coll18 = coll17.map({(box18: Box) => box18.tokens(placeholder[Int](20))._1 })\n (((((((((((box12.value >= l8) && (box12.tokens.filter({(tuple19: (Coll[Byte], Long)) => tuple19._1 == coll6 }).size == placeholder[Int](21))) && (box12.R4[Int].get == placeholder[Int](22))) && (box12.R6[Coll[Coll[Byte]]].get == coll16)) && (box12.R7[Coll[Long]].get(placeholder[Int](23)) == l3)) && (box12.R7[Coll[Long]].get(placeholder[Int](24)) == l8)) && (box12.R7[Coll[Long]].get(placeholder[Int](25)) == l7)) && (box12.R7[Coll[Long]].get(placeholder[Int](26)) == coll2(placeholder[Int](27)))) && (box12.R7[Coll[Long]].get(placeholder[Int](28)) >= l1 + placeholder[Long](29))) && (box12.R8[(Coll[Byte], Long)].get._2 == tuple9._2)) && (box12.R9[(Coll[Byte], Coll[Byte])].get == (tuple9._1, coll10))) && coll18.indices.forall({(i19: Int) => !coll18.slice(i19 + placeholder[Int](30), coll17.size).exists({(coll21: Coll[Byte]) => coll21 == coll18(i19) }) })\n )} else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) } || if ((l1 < l3) && (OUTPUTS.size >= placeholder[Int](34))) {(\n val box11 = OUTPUTS(placeholder[Int](35))\n val l12 = l8 / placeholder[Long](36)\n val l13 = l8 - l12\n val bool14 = l13 < placeholder[Long](37)\n val l15 = if (bool14) { placeholder[Long](38) } else { l13 }\n (((((((((blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](39)) && (box11.value >= l15)) && (box11.tokens.filter({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll6 }).size == placeholder[Int](40))) && (box11.R4[Int].get == placeholder[Int](41))) && (box11.R5[Long].get >= l1 + placeholder[Long](42))) && (blake2b256(box11.R6[Coll[Byte]].get) == coll5)) && (box11.R7[Long].get == l15)) && (box11.R8[Long].get == l3)) && (box11.R9[Coll[Byte]].get == coll10)) && (OUTPUTS(placeholder[Int](43)).value >= if (bool14) { l8 - placeholder[Long](44) } else { l12 })\n )} else { placeholder[Boolean](45) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "16288b26fee08ac011f9486177f91b9545434ed91e3d1ae29b413ecd9f71d45a",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b728",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7,20]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "110496f4c70180897a80897a28",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1637643,1000000,1000000,20]"
},
"R7": {
"serializedValue": "1a0120758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[758eb79665224492c8fb849a08751d41cd5974a7af1099e5558f5424a3821fc9]"
},
"R9": {
"serializedValue": "0e9c017b227469746c65223a22536e616b65222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a22536e616b65222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d7d"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "df2f38d160d0b1bc482943bc52c322b531ed66af702dce73d3f4bf4fc0f2fffa",
"value": 553085480,
"index": 1,
"spendingProof": "1633287149ce6e476a8dc67a9c87ccf24419d144cee214b627d799d012b644974957d3749ee6d811f7b128dce07d8da3b1791cac71839747",
"outputBlockId": "563602657cb27728d86f523d0ee2a29ff5dcdefdd0378c63ac3c5d1df419712e",
"outputTransactionId": "727d7bc4a7e54a832831d24ba4df684680b30a75bb5c8bb5d914f91b904e33e4",
"outputIndex": 2,
"outputGlobalIndex": 50974626,
"outputCreatedAt": 1637642,
"outputSettledAt": 1637644,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "e39a0caed9cb88e696d61057cdd54834e979e6adaa1f6537da162d05da6f7d0c",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
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"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
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"name": null,
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"type": null
},
{
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"type": null
},
{
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"name": null,
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"type": null
},
{
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"index": 5,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
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"index": 6,
"amount": 96951098,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 7,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 8,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
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"type": null
},
{
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"type": null
},
{
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"index": 11,
"amount": 61056,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
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"index": 12,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
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"index": 13,
"amount": 4103,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
},
{
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"index": 14,
"amount": 8000,
"name": "TEST DEV 50 PERCENT APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 15,
"amount": 10000,
"name": "TEST FULL WITHDRAW V3 APT",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 16,
"amount": 99981000,
"name": "TGD",
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"type": "EIP-004"
},
{
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"index": 17,
"amount": 7000,
"name": "Test project for 1.2 V1 APT",
"decimals": 2,
"type": "EIP-004"
},
{
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}
],
"outputs": [
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"settlementHeight": 1637646,
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"ergoTreeConstants": "0: 4\n1: Coll(110,-120,62,34,92,-1,-115,-118,20,38,11,120,54,124,-30,-65,43,126,-55,71,42,44,-47,70,27,-82,97,88,-18,65,-44,29)\n2: 0\n3: 0\n4: 2\n5: 1\n6: 3\n7: Coll(58,-108,98,24,98,-10,116,84,-53,-35,97,62,-45,-90,68,-126,-71,-33,-29,9,60,97,-126,53,107,-92,-12,-95,68,17,-9,-107)\n8: Coll(0,8,-51)\n9: 1\n10: 1\n11: 1\n12: 1\n13: 0\n14: 0\n15: 10\n16: -1\n17: false\n18: true\n19: -1\n20: 1\n21: 0\n22: true\n23: -1\n24: 1\n25: 0\n26: 0\n27: 1\n28: 2\n29: 3\n30: 4\n31: false\n32: false\n33: false\n34: false\n35: false\n36: 0\n37: 0\n38: Coll(-10,-127,-98,11,124,-7,-100,-116,120,114,-74,47,73,-123,-72,-39,0,-58,21,9,37,-48,30,-78,121,120,117,23,-88,72,-74,-40)\n39: 0\n40: 0\n41: 1\n42: 0\n43: 0\n44: 2\n45: 1\n46: 1\n47: 0\n48: true\n49: 1\n50: 0\n51: false\n52: true\n53: 10\n54: false\n55: 1\n56: 0\n57: 4\n58: 30\n59: 1\n60: false\n61: false\n62: false\n63: 0\n64: 0\n65: 100\n66: 1000000\n67: 0\n68: 0\n69: 5\n70: 100\n71: 1000000\n72: 0\n73: 0\n74: 0\n75: SigmaProp(ProveDlog(ECPoint(1bf847,c2be87,...)))\n76: true\n77: 0\n78: 0\n79: 0\n80: true\n81: 0\n82: 0\n83: 0\n84: 3\n85: 3\n86: false\n87: 0\n88: 3\n89: 3\n90: 1\n91: 0\n92: false\n93: true\n94: 10\n95: 100\n96: 1000000\n97: 1\n98: 0\n99: false\n100: false\n101: 1\n102: 0\n103: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R7[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val bool5 = l2 < l4\n val coll6 = placeholder[Coll[Byte]](1)\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R5[(Coll[Byte], Coll[Byte])].get\n val coll9 = tuple8._2\n val l10 = coll3(placeholder[Int](3))\n val l11 = coll3(placeholder[Int](4))\n val coll12 = tuple8._1\n val coll13 = SELF.R6[Coll[Coll[Byte]]].get\n val l14 = coll3(placeholder[Int](5))\n val l15 = coll3(placeholder[Int](6))\n val tuple16 = SELF.R8[(Coll[Byte], Long)].get\n val l17 = tuple16._2\n val coll18 = placeholder[Coll[Byte]](7)\n val coll19 = placeholder[Coll[Byte]](8)\n val coll20 = tuple16._1\n sigmaProp(i1 == placeholder[Int](9)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](10))) && (OUTPUTS.size > placeholder[Int](11))) {(\n val coll21 = CONTEXT.dataInputs\n val coll22 = coll21.filter({(box22: Box) => ((blake2b256(box22.propositionBytes) == coll6) && (box22.R6[Coll[Byte]].get == coll7)) && (box22.R5[Coll[Byte]].get != coll9) })\n if (coll22.size == placeholder[Int](12)) {(\n val box23 = coll22(placeholder[Int](13))\n val box24 = OUTPUTS(placeholder[Int](14))\n if (((((blake2b256(box23.propositionBytes) == coll6) && (box23.R6[Coll[Byte]].get == coll7)) && (box23.creationInfo._1.toLong < l10)) && (box23.value >= l11)) && (box23.R9[Coll[Long]].get.size <= placeholder[Int](15))) {(\n val tuple25 = (placeholder[Long](16), placeholder[Boolean](17))\n val l26 = box23.R9[Coll[Long]].get.fold(tuple25, {(tuple26: ((Long, Boolean), Long)) =>\n val tuple28 = tuple26._1\n val l29 = tuple26._2\n if (tuple28._2) { tuple28 } else { if (blake2b256(box23.R7[Coll[Byte]].get.append(longToByteArray(l29)).append(box23.R8[Coll[Byte]].get).append(box23.R4[Coll[Byte]].get).append(coll12)) == box23.R5[Coll[Byte]].get) { (l29, placeholder[Boolean](18)) } else { tuple28 } }\n })._1\n val bool27 = l26 != placeholder[Long](19)\n if (bool27) {(\n val coll28 = Coll[Byte]()\n val coll29 = if (coll9 == coll28) { box23.R5[Coll[Byte]].get } else {(\n val coll29 = coll21.filter({(box29: Box) => ((blake2b256(box29.propositionBytes) == coll6) && (box29.R5[Coll[Byte]].get == coll9)) && (box29.R6[Coll[Byte]].get == coll7) })\n if (coll29.size == placeholder[Int](20)) {(\n val box30 = coll29(placeholder[Int](21))\n val tuple31 = box30.R9[Coll[Long]].get.fold(tuple25, {(tuple31: ((Long, Boolean), Long)) =>\n val tuple33 = tuple31._1\n val l34 = tuple31._2\n if (tuple33._2) { tuple33 } else { if (blake2b256(box30.R7[Coll[Byte]].get.append(longToByteArray(l34)).append(box30.R8[Coll[Byte]].get).append(box30.R4[Coll[Byte]].get).append(coll12)) == box30.R5[Coll[Byte]].get) { (l34, placeholder[Boolean](22)) } else { tuple33 } }\n })\n val l32 = tuple31._1\n if (tuple31._2 && (l32 != placeholder[Long](23))) { if ((l26 > l32) || ((l26 == l32) && (box23.creationInfo._1 < box30.creationInfo._1))) { box23.R5[Coll[Byte]].get } else { coll28 } } else { coll28 }\n )} else { coll28 }\n )}\n if ((coll29 != coll28) && (coll29 != coll9)) { (((((((((((((box24.propositionBytes == SELF.propositionBytes) && (box24.R4[Int].get == i1)) && (box24.tokens.size == placeholder[Int](24))) && (box24.tokens(placeholder[Int](25))._1 == coll7)) && (box24.R5[(Coll[Byte], Coll[Byte])].get == (coll12, coll29))) && (box24.R6[Coll[Coll[Byte]]].get == coll13)) && (box24.R7[Coll[Long]].get(placeholder[Int](26)) == l10)) && (box24.R7[Coll[Long]].get(placeholder[Int](27)) == l14)) && (box24.R7[Coll[Long]].get(placeholder[Int](28)) == l11)) && (box24.R7[Coll[Long]].get(placeholder[Int](29)) == l15)) && (box24.R7[Coll[Long]].get(placeholder[Int](30)) == l4)) && (box24.R8[(Coll[Byte], Long)].get._2 == l17)) && (box24.R9[(Coll[Byte], Coll[Byte])].get == SELF.R9[(Coll[Byte], Coll[Byte])].get)) && bool27 } else { placeholder[Boolean](31) }\n )} else { placeholder[Boolean](32) }\n )} else { placeholder[Boolean](33) }\n )} else { placeholder[Boolean](34) }\n )} else { placeholder[Boolean](35) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](36))) {(\n val coll21 = CONTEXT.dataInputs\n val coll22 = coll21.filter({(box22: Box) => ((((((blake2b256(box22.propositionBytes) == coll18) && (box22.tokens.size > placeholder[Int](37))) && (box22.R4[Coll[Byte]].get == placeholder[Coll[Byte]](38))) && (box22.R5[Coll[Byte]].get == coll9)) && box22.R6[Boolean].get) && (!box22.R8[Boolean].get)) && coll13.exists({(coll24: Coll[Byte]) => coll24 == box22.tokens(placeholder[Int](39))._1 }) })\n val coll23 = coll22.map({(box23: Box) => box23.tokens(placeholder[Int](40))._1 })\n val i24 = coll22.size\n val i25 = coll13.size\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == SELF.propositionBytes })\n if ((coll23.indices.forall({(i27: Int) => !coll23.slice(i27 + placeholder[Int](41), i24).exists({(coll29: Coll[Byte]) => coll29 == coll23(i27) }) }) && (i24 >= if (i25 == placeholder[Int](42)) { placeholder[Int](43) } else { i25 / placeholder[Int](44) + placeholder[Int](45) })) && (coll26.size == placeholder[Int](46))) {(\n val box27 = coll26(placeholder[Int](47))\n val coll28 = box27.R5[(Coll[Byte], Coll[Byte])].get._2\n val coll29 = INPUTS.filter({(box29: Box) => (blake2b256(box29.propositionBytes) == coll6) && (box29.R5[Coll[Byte]].get == coll9) })\n if (if (coll28 == Coll[Byte]()) { placeholder[Boolean](48) } else {(\n val coll30 = coll21.filter({(box30: Box) => ((blake2b256(box30.propositionBytes) == coll6) && (box30.R6[Coll[Byte]].get == coll7)) && (box30.R5[Coll[Byte]].get == coll28) })\n if (coll30.size == placeholder[Int](49)) {(\n val box31 = coll30(placeholder[Int](50))\n val coll32 = box31.R9[Coll[Long]].get\n ((coll32.fold(placeholder[Boolean](51), {(tuple33: (Boolean, Long)) =>\n val bool35 = tuple33._1\n if (bool35) { bool35 } else { if (blake2b256(box31.R7[Coll[Byte]].get.append(longToByteArray(tuple33._2)).append(box31.R8[Coll[Byte]].get).append(coll12)) == box31.R5[Coll[Byte]].get) { placeholder[Boolean](52) } else { bool35 } }\n }) && (box31.value >= l11)) && (box31.creationInfo._1.toLong < l10)) && (coll32.size <= placeholder[Int](53))\n )} else { placeholder[Boolean](54) }\n )} && (coll29.size == placeholder[Int](55))) { ((box27.value >= SELF.value + coll29(placeholder[Int](56)).value) && (box27.R7[Coll[Long]].get(placeholder[Int](57)) >= l2 + placeholder[Long](58))) && ((box27.R4[Int].get == i1) && (i1 == placeholder[Int](59))) } else { placeholder[Boolean](60) }\n )} else { placeholder[Boolean](61) }\n )} else { placeholder[Boolean](62) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](63))) {(\n val bool21 = coll9 != Coll[Byte]()\n val coll22 = INPUTS.filter({(box22: Box) => (blake2b256(box22.propositionBytes) == coll6) && (box22.R6[Coll[Byte]].get == coll7) })\n val l23 = coll22.fold(placeholder[Long](64), {(tuple23: (Long, Box)) => tuple23._1 + tuple23._2.value }) + SELF.value - l14\n val l24 = l23 * l15 / placeholder[Long](65)\n val l25 = l24 * coll13.size.toLong\n val l26 = l25 - if ((l24 < placeholder[Long](66)) && (l24 > placeholder[Long](67))) { l25 } else { placeholder[Long](68) }\n val l27 = l23 * placeholder[Long](69) / placeholder[Long](70)\n val l28 = l27 - if ((l27 < placeholder[Long](71)) && (l27 > placeholder[Long](72))) { l27 } else { placeholder[Long](73) }\n val bool29 = if (l28 > placeholder[Long](74)) {\n OUTPUTS.exists({(box29: Box) => (box29.value >= l28) && (box29.propositionBytes == placeholder[SigmaProp](75).propBytes) })\n } else { placeholder[Boolean](76) }\n val bool30 = if (l26 > placeholder[Long](77)) {\n CONTEXT.dataInputs.filter(\n {(box30: Box) =>\n ((blake2b256(box30.propositionBytes) == coll18) && (box30.tokens.size > placeholder[Int](78))) && coll13.exists(\n {(coll32: Coll[Byte]) => coll32 == box30.tokens(placeholder[Int](79))._1 }\n )\n }\n ).map({(box30: Box) => box30.R7[Coll[Byte]].get }).forall(\n {(coll30: Coll[Byte]) => OUTPUTS.exists({(box32: Box) => (box32.propositionBytes == coll30) && (box32.value >= l24) }) }\n )\n } else { placeholder[Boolean](80) }\n val prop31 = if (bool21) {(\n val coll31 = INPUTS.filter({(box31: Box) => (blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9) })\n if (coll31.size > placeholder[Int](81)) {(\n val coll32 = coll31(placeholder[Int](82)).R4[Coll[Byte]].get\n if (coll32.slice(placeholder[Int](83), placeholder[Int](84)) == coll19) {\n proveDlog(decodePoint(coll32.slice(placeholder[Int](85), coll32.size)))\n } else { sigmaProp(INPUTS.exists({(box33: Box) => box33.propositionBytes == coll32 })) }\n )} else { sigmaProp(placeholder[Boolean](86)) }\n )} else {\n if (coll20.slice(placeholder[Int](87), placeholder[Int](88)) == coll19) { proveDlog(decodePoint(coll20.slice(placeholder[Int](89), coll20.size))) } else {\n sigmaProp(INPUTS.exists({(box31: Box) => box31.propositionBytes == coll20 }))\n }\n }\n if (bool21) {(\n val coll32 = coll22.filter({(box32: Box) => box32.R5[Coll[Byte]].get == coll9 })\n if (coll32.size == placeholder[Int](90)) {(\n val box33 = coll32(placeholder[Int](91))\n val coll34 = box33.R9[Coll[Long]].get\n val coll35 = box33.R4[Coll[Byte]].get\n if (((coll34.fold(placeholder[Boolean](92), {(tuple36: (Boolean, Long)) =>\n val bool38 = tuple36._1\n if (bool38) { bool38 } else { if (blake2b256(box33.R7[Coll[Byte]].get.append(longToByteArray(tuple36._2)).append(box33.R8[Coll[Byte]].get).append(coll35).append(coll12)) == box33.R5[Coll[Byte]].get) { placeholder[Boolean](93) } else { bool38 } }\n }) && (box33.value >= l11)) && (box33.creationInfo._1.toLong < l10)) && (coll34.size <= placeholder[Int](94))) {(\n val l36 = l23 * l17 / placeholder[Long](95)\n val l37 = l23 - l36 - l26 - l28\n if (l37 >= placeholder[Long](96)) {\n prop31 && sigmaProp(\n (\n (\n OUTPUTS.exists(\n {(box38: Box) =>\n (((box38.value >= l37) && (box38.propositionBytes == coll35)) && (box38.tokens.size == placeholder[Int](97))) && (\n box38.tokens(placeholder[Int](98))._1 == coll7\n )\n }\n ) && OUTPUTS.exists({(box38: Box) => (box38.value >= l14 + l36) && (box38.propositionBytes == coll20) })\n ) && bool29\n ) && bool30\n )\n } else {\n prop31 && sigmaProp((OUTPUTS.exists({(box38: Box) => (box38.value >= l14 + l36 + l37) && (box38.propositionBytes == coll20) }) && bool29) && bool30)\n }\n )} else { sigmaProp(placeholder[Boolean](99)) }\n )} else { sigmaProp(placeholder[Boolean](100)) }\n )} else {\n prop31 && sigmaProp(\n (\n OUTPUTS.exists(\n {(box32: Box) =>\n (((box32.value >= l23 + l14 - l28 - l26) && (box32.propositionBytes == coll20)) && (box32.tokens.size == placeholder[Int](101))) && (\n box32.tokens(placeholder[Int](102))._1 == coll7\n )\n }\n ) && bool29\n ) && bool30\n )\n }\n )} else { sigmaProp(placeholder[Boolean](103)) }\n}",
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