Transaction
ID: f54e0acde1...9f39
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.41411812 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.002187 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.41183112 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 119,789
Total coins transferred: 0.41511812 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000261 ERG
Raw Transaction Data
{
"id": "f54e0acde1a8e84bfb4800cd15adea683274b5ee7374cb4ed3403041ef1d9f39",
"blockId": "78aaea5d690f9e4ac92b522c7b84c1fa820d0bb9bfb3ca6f1ba4bb30ed6f0482",
"inclusionHeight": 1648361,
"timestamp": 1762198311720,
"index": 15,
"globalIndex": 9737260,
"numConfirmations": 119789,
"inputs": [
{
"boxId": "e9c30bba6a9aff968110a4e4f116ba742dd421c866f85e6ea72142d7e88b90cf",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "aa008ab86846ee68062c9b8b1b23c33464ed62dc25162988f15bc9f984f545e7",
"outputTransactionId": "74f198be92f488800815f0864784a76a49ef339c5140f856052b65532c4006c2",
"outputIndex": 0,
"outputGlobalIndex": 51322038,
"outputCreatedAt": 1648353,
"outputSettledAt": 1648354,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(20,120,11,48,-87,7,120,49,-117,120,-37,-106,124,-69,125,-21,-89,78,-66,-51,24,93,49,-8,68,104,-5,7,98,-126,38,14)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: true\n9: Coll(-24,-112,-15,71,-45,-38,-118,27,79,-88,-115,76,106,103,-115,47,36,-118,-112,-9,-91,-69,37,74,-89,100,103,-101,-96,8,-57,-71)\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: 4\n30: 5\n31: 30\n32: 0\n33: 2\n34: 1\n35: false\n36: false\n37: false\n38: 2\n39: 0\n40: 5\n41: 1000000\n42: 1000000\n43: 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)\n44: 1\n45: 2\n46: 30\n47: 1\n48: 1000000\n49: false\n50: 0\n51: 0\n52: 0\n53: 1000000\n54: 0\n55: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[Coll[Long]].get\n val l4 = coll3(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n val coll6 = SELF.R6[Coll[Byte]].get\n val coll7 = SELF.tokens(placeholder[Int](2))._1\n val tuple8 = SELF.R5[(Coll[Byte], Long)].get\n val coll9 = tuple8._1\n val l10 = coll3(placeholder[Int](3))\n val l11 = coll3(placeholder[Int](4))\n val coll12 = SELF.R7[Coll[Coll[Byte]]].get\n val coll13 = SELF.R9[Coll[Byte]].get\n val l14 = tuple8._2\n sigmaProp((i1 == placeholder[Int](5)) && ((if (l2 >= l4) {(\n val coll15 = OUTPUTS.filter({(box15: Box) => blake2b256(box15.propositionBytes) == coll5 })\n if (coll15.size == placeholder[Int](6)) {(\n val box16 = coll15(placeholder[Int](7))\n val tuple17 = box16.R6[(Coll[Byte], Coll[Byte])].get\n val coll18 = tuple17._1\n val coll19 = tuple17._2\n if (((blake2b256(coll18) == coll6) && (blake2b256(box16.propositionBytes) == coll5)) && if (coll19 == Coll[Byte]()) { placeholder[Boolean](8) } else {(\n val coll20 = CONTEXT.dataInputs.filter({(box20: Box) => ((blake2b256(box20.propositionBytes) == placeholder[Coll[Byte]](9)) && (box20.R6[Coll[Byte]].get == coll7)) && (box20.R5[Coll[Byte]].get == coll19) })\n if (coll20.size == placeholder[Int](10)) {(\n val box21 = coll20(placeholder[Int](11))\n val coll22 = box21.R9[Coll[Long]].get\n ((coll22.fold(placeholder[Boolean](12), {(tuple23: (Boolean, Long)) =>\n val bool25 = tuple23._1\n if (bool25) { bool25 } else { if (blake2b256(box21.R7[Coll[Byte]].get.append(coll9).append(longToByteArray(tuple23._2)).append(box21.R8[Coll[Byte]].get).append(box21.R4[Coll[Byte]].get).append(coll18)) == box21.R5[Coll[Byte]].get) { placeholder[Boolean](13) } else { bool25 } }\n }) && (box21.value >= l10)) && (box21.creationInfo._1.toLong < l4)) && (coll22.size.toLong <= placeholder[Long](14))\n )} else { placeholder[Boolean](15) }\n )}) {(\n val coll20 = CONTEXT.dataInputs.filter({(box20: Box) => ((((((blake2b256(box20.propositionBytes) == placeholder[Coll[Byte]](16)) && (box20.tokens.size > placeholder[Int](17))) && (box20.R4[Coll[Byte]].get == placeholder[Coll[Byte]](18))) && (box20.R5[Coll[Byte]].get == coll7)) && box20.R6[Boolean].get) && box20.R8[Boolean].get) && coll12.exists({(coll22: Coll[Byte]) => coll22 == box20.tokens(placeholder[Int](19))._1 }) })\n val coll21 = coll20.map({(box21: Box) => box21.tokens(placeholder[Int](20))._1 })\n (((((((((((((box16.value >= l11) && (box16.tokens.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll7 }).size == placeholder[Int](21))) && (box16.R4[Int].get == placeholder[Int](22))) && (box16.R5[Coll[Byte]].get == coll9)) && (box16.R7[Coll[Coll[Byte]]].get == coll12)) && (box16.R8[Coll[Long]].get(placeholder[Int](23)) == l4)) && (box16.R8[Coll[Long]].get(placeholder[Int](24)) == l11)) && (box16.R8[Coll[Long]].get(placeholder[Int](25)) == l10)) && (box16.R8[Coll[Long]].get(placeholder[Int](26)) == coll3(placeholder[Int](27)))) && (box16.R8[Coll[Long]].get(placeholder[Int](28)) >= coll3(placeholder[Int](29)))) && (box16.R8[Coll[Long]].get(placeholder[Int](30)) >= l2 + placeholder[Long](31))) && (box16.R9[Coll[Coll[Byte]]].get(placeholder[Int](32)) == coll13)) && (box16.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](33))) && coll21.indices.forall({(i22: Int) => !coll21.slice(i22 + placeholder[Int](34), coll20.size).exists({(coll24: Coll[Byte]) => coll24 == coll21(i22) }) })\n )} else { placeholder[Boolean](35) }\n )} else { placeholder[Boolean](36) }\n )} else { placeholder[Boolean](37) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](38))) {(\n val box15 = OUTPUTS(placeholder[Int](39))\n val l16 = l11 / placeholder[Long](40)\n val l17 = l11 - l16\n val bool18 = l17 < placeholder[Long](41)\n val l19 = if (bool18) { placeholder[Long](42) } else { l17 }\n (((((((((blake2b256(box15.propositionBytes) == placeholder[Coll[Byte]](43)) && (box15.value >= l19)) && (box15.tokens.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll7 }).size == placeholder[Int](44))) && (box15.R4[Int].get == placeholder[Int](45))) && (box15.R5[Long].get >= l2 + placeholder[Long](46))) && (blake2b256(box15.R6[Coll[Byte]].get) == coll6)) && (box15.R7[Long].get == l19)) && (box15.R8[Long].get == l4)) && (box15.R9[Coll[Byte]].get == coll13)) && (OUTPUTS(placeholder[Int](47)).value >= if (bool18) { l11 - placeholder[Long](48) } else { l16 })\n )} else { placeholder[Boolean](49) }) || if ((l2 < l14) && (OUTPUTS.size > placeholder[Int](50))) {(\n val box15 = OUTPUTS.filter({(box15: Box) => blake2b256(box15.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](51))\n val l16 = box15.value\n val tuple17 = box15.R5[(Coll[Byte], Long)].get\n ((((((((box15.tokens(placeholder[Int](52))._1 == coll7) && ((l16 >= placeholder[Long](53)) && (l16 == SELF.value))) && (tuple17._1 == blake2b256(coll9.append(INPUTS(placeholder[Int](54)).id)))) && (tuple17._2 == l14)) && (box15.R4[Int].get == i1)) && (box15.R6[Coll[Byte]].get == coll6)) && (box15.R7[Coll[Coll[Byte]]].get == coll12)) && (box15.R8[Coll[Long]].get == coll3)) && (box15.R9[Coll[Byte]].get == coll13)\n )} else { placeholder[Boolean](55) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "a41eb983435fd01e19c4a88efefa6b7f5193e96aab6ac34c900ad9dc9fca72fd",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e0815dbe22c3300a907cc9bc901",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[15dbe22c3300a907,1648358]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105cc9bc90180897a80897a0028",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1648358,1000000,1000000,0,20]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "0eb3017b227469746c65223a2254657374205632222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a2254657374205632222c226465736372697074696f6e223a22222c22696d61676555524c223a22222c227765624c696e6b223a22222c22736572766963654964223a2264313961336461376435613230326631316133306463353537633237636130666161313735656435396565356661636564373265366362323638353862373264222c226d6972726f7255726c73223a5b5d2c22696e64657465726d69736d496e646578223a317d"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "6884443abb3b7450244eb053130b7235f0cd2b1f62466ea8053a5c04fea056dd",
"value": 414118120,
"index": 1,
"spendingProof": "533632bfd3651b4e2058134b8500f2934bb18b418f3a75619f157c11c81eaf760127008c8cf0b24320932275ecdfd46e706cc6e2ace82640",
"outputBlockId": "c6067847332ccc9b0873ed251657be0a5983eec5bfba529dc0a51133ac4ca0c7",
"outputTransactionId": "204dc4fe32b6c360069ac6fb500014a56d814537e05f8e29b713a1fe9590931e",
"outputIndex": 2,
"outputGlobalIndex": 51322067,
"outputCreatedAt": 1648354,
"outputSettledAt": 1648355,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "961d9f245de3af73a3a8a700bf72566f1f8904e6c5d8e21598dfad35a324e389",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "e39a0caed9cb88e696d61057cdd54834e979e6adaa1f6537da162d05da6f7d0c",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "a0dda03db7197b89365b75b33c7488a5ee7908c8a28a36fa1b5c676a2b50d905",
"index": 2,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "ac0bcdb8129f912eb367d28c419a219d29a7159d22e8f2dbb6176e05a7316342",
"index": 3,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "1445e0c5a021293aa4a1aeff00782302ee281979c372ce508b7f584a6ffba61f",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "cdca7d850f29ccf7bc66409ce9139229a29f8d2cdd8374263fa57dff97502216",
"index": 5,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "8821752e5972bcf3cb98f1a19f13e7fe440cccbe4facf3a234b6b838cc70be84",
"index": 6,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 7,
"amount": 96951098,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "74b523d60361e82c42128283957aec7e01fe5fe6e29b6546645d3f7e16b3b92a",
"index": 8,
"amount": 999899774500,
"name": "GOLD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2c5d596d617aaafe16f3f58b2c562d046eda658f0243dc1119614160d92a4717",
"index": 9,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "70d0e8e56699ca4c61488f421d9eda77e77e180b7ec94115a2b325f36d5984d7",
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{
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{
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{
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{
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{
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{
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{
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{
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},
{
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"index": 19,
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},
{
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{
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "b8ea14188f6c5a120bef75e3d1159fae1cda28e84fa0cc5373191296ba630292",
"value": 1000000,
"index": 0,
"outputBlockId": "c6067847332ccc9b0873ed251657be0a5983eec5bfba529dc0a51133ac4ca0c7",
"outputTransactionId": "204dc4fe32b6c360069ac6fb500014a56d814537e05f8e29b713a1fe9590931e",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e202f474a7db6f483212f29bbab3efcdad84a3c86c01a805fc5e5013242fa358c4e",
"sigmaType": "Coll[SByte]",
"renderedValue": "2f474a7db6f483212f29bbab3efcdad84a3c86c01a805fc5e5013242fa358c4e"
},
"R6": {
"serializedValue": "0e20a41eb983435fd01e19c4a88efefa6b7f5193e96aab6ac34c900ad9dc9fca72fd",
"sigmaType": "Coll[SByte]",
"renderedValue": "a41eb983435fd01e19c4a88efefa6b7f5193e96aab6ac34c900ad9dc9fca72fd"
},
"R8": {
"serializedValue": "0e202a0b4a4778ad546e86d19dc3f567cf98cb9bec82f2befd36762f4f119d319dd4",
"sigmaType": "Coll[SByte]",
"renderedValue": "2a0b4a4778ad546e86d19dc3f567cf98cb9bec82f2befd36762f4f119d319dd4"
},
"R7": {
"serializedValue": "0e20f43cea182384058b4d061e538c1c99fd37acbc338d25d17b405c30fd6102c885",
"sigmaType": "Coll[SByte]",
"renderedValue": "f43cea182384058b4d061e538c1c99fd37acbc338d25d17b405c30fd6102c885"
},
"R9": {
"serializedValue": "1103c8014414",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100,34,10]"
},
"R4": {
"serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
}
}
}
],
"outputs": [
{
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"transactionId": "f54e0acde1a8e84bfb4800cd15adea683274b5ee7374cb4ed3403041ef1d9f39",
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"value": 2187000,
"index": 0,
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"creationHeight": 1648360,
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",
"ergoTreeConstants": "0: 5\n1: Coll(-24,-112,-15,71,-45,-38,-118,27,79,-88,-115,76,106,103,-115,47,36,-118,-112,-9,-91,-69,37,74,-89,100,103,-101,-96,8,-57,-71)\n2: 0\n3: 0\n4: 2\n5: 1\n6: 3\n7: 4\n8: 1\n9: 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)\n10: Coll(0,8,-51)\n11: Coll(0,8,-51,2,90,-56,-85,24,63,-3,-29,96,104,96,49,32,-80,10,-51,-15,65,-71,31,-28,-32,-64,-58,-43,98,-75,-14,78,30,44,-62,-47)\n12: 1\n13: 1\n14: 1\n15: 1\n16: 0\n17: 0\n18: 10\n19: -1\n20: false\n21: true\n22: -1\n23: 1\n24: 0\n25: true\n26: -1\n27: 0\n28: 1\n29: 0\n30: 1\n31: 2\n32: 3\n33: 4\n34: 5\n35: 1\n36: 30\n37: 5\n38: 0\n39: 0\n40: 2\n41: false\n42: false\n43: false\n44: false\n45: false\n46: 0\n47: 0\n48: 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)\n49: 0\n50: 0\n51: 1\n52: 0\n53: 0\n54: 2\n55: 1\n56: 1\n57: 0\n58: true\n59: 1\n60: 0\n61: false\n62: true\n63: 10\n64: false\n65: 1\n66: 0\n67: 5\n68: 30\n69: 0\n70: 1\n71: 0\n72: 1\n73: 2\n74: 3\n75: 4\n76: 0\n77: 0\n78: 1\n79: 2\n80: false\n81: false\n82: false\n83: 0\n84: 0\n85: 100\n86: 1000000\n87: 0\n88: 0\n89: 5\n90: 100\n91: 1000000\n92: 0\n93: 0\n94: 0\n95: 0\n96: 0\n97: 3\n98: 3\n99: false\n100: 0\n101: 3\n102: 3\n103: 1\n104: 0\n105: false\n106: true\n107: 10\n108: 100\n109: 0\n110: 1\n111: 0\n112: 0\n113: 0\n114: true\n115: 0\n116: 0\n117: 0\n118: 0\n119: 0\n120: true\n121: false\n122: false\n123: 1\n124: 0\n125: 0\n126: true\n127: 0\n128: 0\n129: 0\n130: true\n131: false",
"ergoTreeScript": "{\n val i1 = SELF.R4[Int].get\n val l2 = HEIGHT.toLong\n val coll3 = SELF.R8[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.R6[(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 = SELF.R5[Coll[Byte]].get\n val coll13 = tuple8._1\n val coll14 = SELF.R7[Coll[Coll[Byte]]].get\n val l15 = coll3(placeholder[Int](5))\n val l16 = coll3(placeholder[Int](6))\n val l17 = coll3(placeholder[Int](7))\n val coll18 = SELF.R9[Coll[Coll[Byte]]].get\n val coll19 = coll18(placeholder[Int](8))\n val coll20 = placeholder[Coll[Byte]](9)\n val coll21 = placeholder[Coll[Byte]](10)\n val coll22 = placeholder[Coll[Byte]](11)\n sigmaProp(i1 == placeholder[Int](12)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](13))) && (OUTPUTS.size > placeholder[Int](14))) {(\n val coll23 = CONTEXT.dataInputs\n val coll24 = coll23.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == coll6) && (box24.R6[Coll[Byte]].get == coll7)) && (box24.R5[Coll[Byte]].get != coll9) })\n if (coll24.size == placeholder[Int](15)) {(\n val box25 = coll24(placeholder[Int](16))\n val box26 = OUTPUTS(placeholder[Int](17))\n if (((((blake2b256(box25.propositionBytes) == coll6) && (box25.R6[Coll[Byte]].get == coll7)) && (box25.creationInfo._1.toLong < l10)) && (box25.value >= l11)) && (box25.R9[Coll[Long]].get.size.toLong <= placeholder[Long](18))) {(\n val tuple27 = (placeholder[Long](19), placeholder[Boolean](20))\n val l28 = box25.R9[Coll[Long]].get.fold(tuple27, {(tuple28: ((Long, Boolean), Long)) =>\n val tuple30 = tuple28._1\n val l31 = tuple28._2\n if (tuple30._2) { tuple30 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll12).append(longToByteArray(l31)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll13)) == box25.R5[Coll[Byte]].get) { (l31, placeholder[Boolean](21)) } else { tuple30 } }\n })._1\n val bool29 = l28 != placeholder[Long](22)\n if (bool29) {(\n val coll30 = Coll[Byte]()\n val coll31 = if (coll9 == coll30) { box25.R5[Coll[Byte]].get } else {(\n val coll31 = coll23.filter({(box31: Box) => ((blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9)) && (box31.R6[Coll[Byte]].get == coll7) })\n if (coll31.size == placeholder[Int](23)) {(\n val box32 = coll31(placeholder[Int](24))\n val tuple33 = box32.R9[Coll[Long]].get.fold(tuple27, {(tuple33: ((Long, Boolean), Long)) =>\n val tuple35 = tuple33._1\n val l36 = tuple33._2\n if (tuple35._2) { tuple35 } else { if (blake2b256(box32.R7[Coll[Byte]].get.append(coll12).append(longToByteArray(l36)).append(box32.R8[Coll[Byte]].get).append(box32.R4[Coll[Byte]].get).append(coll13)) == box32.R5[Coll[Byte]].get) { (l36, placeholder[Boolean](25)) } else { tuple35 } }\n })\n val l34 = tuple33._1\n if (tuple33._2 && (l34 != placeholder[Long](26))) { if ((l28 > l34) || ((l28 == l34) && (box25.creationInfo._1 < box32.creationInfo._1))) { box25.R5[Coll[Byte]].get } else { coll30 } } else { coll30 }\n )} else { coll30 }\n )}\n if ((coll31 != coll30) && (coll31 != coll9)) { (((((((((((((((((box26.value >= SELF.value) && (box26.tokens(placeholder[Int](27))._1 == coll7)) && (box26.R4[Int].get == i1)) && (i1 == placeholder[Int](28))) && (box26.R5[Coll[Byte]].get == coll12)) && (box26.R6[(Coll[Byte], Coll[Byte])].get._1 == coll13)) && (box26.R6[(Coll[Byte], Coll[Byte])].get._2 == coll31)) && (box26.R7[Coll[Coll[Byte]]].get == coll14)) && (box26.R8[Coll[Long]].get(placeholder[Int](29)) == l10)) && (box26.R8[Coll[Long]].get(placeholder[Int](30)) == l15)) && (box26.R8[Coll[Long]].get(placeholder[Int](31)) == l11)) && (box26.R8[Coll[Long]].get(placeholder[Int](32)) == l16)) && (box26.R8[Coll[Long]].get(placeholder[Int](33)) == l17)) && (box26.R8[Coll[Long]].get(placeholder[Int](34)) == l4)) && ((box26.R9[Coll[Coll[Byte]]].get(placeholder[Int](35)) == coll19) || (l4 - placeholder[Long](36) + placeholder[Long](37) < l2))) && (box26.R9[Coll[Coll[Byte]]].get(placeholder[Int](38)) == coll18(placeholder[Int](39)))) && (box26.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](40))) && bool29 } else { placeholder[Boolean](41) }\n )} else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n )} else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](46))) {(\n val coll23 = CONTEXT.dataInputs\n val coll24 = coll23.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == coll20) && (box24.tokens.size > placeholder[Int](47))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](48))) && (box24.R5[Coll[Byte]].get == coll9)) && box24.R6[Boolean].get) && (!box24.R8[Boolean].get)) && coll14.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](49))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](50))._1 })\n val i26 = coll24.size\n val i27 = coll14.size\n val coll28 = OUTPUTS.filter({(box28: Box) => box28.propositionBytes == SELF.propositionBytes })\n if ((coll25.indices.forall({(i29: Int) => !coll25.slice(i29 + placeholder[Int](51), i26).exists({(coll31: Coll[Byte]) => coll31 == coll25(i29) }) }) && (i26 >= if (i27 == placeholder[Int](52)) { placeholder[Int](53) } else { i27 / placeholder[Int](54) + placeholder[Int](55) })) && (coll28.size == placeholder[Int](56))) {(\n val box29 = coll28(placeholder[Int](57))\n val coll30 = box29.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll31 = INPUTS.filter({(box31: Box) => (blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9) })\n if (if (coll30 == Coll[Byte]()) { placeholder[Boolean](58) } else {(\n val coll32 = coll23.filter({(box32: Box) => ((blake2b256(box32.propositionBytes) == coll6) && (box32.R6[Coll[Byte]].get == coll7)) && (box32.R5[Coll[Byte]].get == coll30) })\n if (coll32.size == placeholder[Int](59)) {(\n val box33 = coll32(placeholder[Int](60))\n val coll34 = box33.R9[Coll[Long]].get\n ((coll34.fold(placeholder[Boolean](61), {(tuple35: (Boolean, Long)) =>\n val bool37 = tuple35._1\n if (bool37) { bool37 } else { if (blake2b256(box33.R7[Coll[Byte]].get.append(coll12).append(longToByteArray(tuple35._2)).append(box33.R8[Coll[Byte]].get).append(box33.R4[Coll[Byte]].get).append(coll13)) == box33.R5[Coll[Byte]].get) { placeholder[Boolean](62) } else { bool37 } }\n }) && (box33.value >= l11)) && (box33.creationInfo._1.toLong < l10)) && (coll34.size.toLong <= placeholder[Long](63))\n )} else { placeholder[Boolean](64) }\n )} && (coll31.size == placeholder[Int](65))) {(\n val coll32 = box29.R8[Coll[Long]].get\n ((box29.value >= SELF.value + coll31(placeholder[Int](66)).value) && (coll32(placeholder[Int](67)) >= l2 + placeholder[Long](68))) && (((((((((((((box29.tokens(placeholder[Int](69))._1 == coll7) && (box29.R4[Int].get == i1)) && (i1 == placeholder[Int](70))) && (box29.R5[Coll[Byte]].get == coll12)) && (box29.R7[Coll[Coll[Byte]]].get == coll14)) && (coll32(placeholder[Int](71)) == l10)) && (coll32(placeholder[Int](72)) == l15)) && (coll32(placeholder[Int](73)) == l11)) && (coll32(placeholder[Int](74)) == l16)) && (coll32(placeholder[Int](75)) == l17)) && (box29.R9[Coll[Coll[Byte]]].get(placeholder[Int](76)) == coll18(placeholder[Int](77)))) && (box29.R9[Coll[Coll[Byte]]].get(placeholder[Int](78)) == coll19)) && (box29.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](79)))\n )} else { placeholder[Boolean](80) }\n )} else { placeholder[Boolean](81) }\n )} else { placeholder[Boolean](82) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](83))) {(\n val bool23 = coll9 != Coll[Byte]()\n val coll24 = INPUTS.filter({(box24: Box) => (blake2b256(box24.propositionBytes) == coll6) && (box24.R6[Coll[Byte]].get == coll7) })\n val l25 = coll24.fold(placeholder[Long](84), {(tuple25: (Long, Box)) => tuple25._1 + tuple25._2.value }) + SELF.value - l15\n val l26 = l25 * l16 / placeholder[Long](85)\n val l27 = l26 * coll14.size.toLong\n val l28 = l27 - if ((l26 < placeholder[Long](86)) && (l26 > placeholder[Long](87))) { l27 } else { placeholder[Long](88) }\n val l29 = l25 * placeholder[Long](89) / placeholder[Long](90)\n val l30 = l29 - if ((l29 < placeholder[Long](91)) && (l29 > placeholder[Long](92))) { l29 } else { placeholder[Long](93) }\n val prop31 = if (bool23) {(\n val coll31 = INPUTS.filter({(box31: Box) => (blake2b256(box31.propositionBytes) == coll6) && (box31.R5[Coll[Byte]].get == coll9) })\n if (coll31.size > placeholder[Int](94)) {(\n val coll32 = coll31(placeholder[Int](95)).R4[Coll[Byte]].get\n if (coll32.slice(placeholder[Int](96), placeholder[Int](97)) == coll21) {\n proveDlog(decodePoint(coll32.slice(placeholder[Int](98), coll32.size)))\n } else { sigmaProp(INPUTS.exists({(box33: Box) => box33.propositionBytes == coll32 })) }\n )} else { sigmaProp(placeholder[Boolean](99)) }\n )} else {\n if (coll19.slice(placeholder[Int](100), placeholder[Int](101)) == coll21) {\n proveDlog(decodePoint(coll19.slice(placeholder[Int](102), coll19.size)))\n } else { sigmaProp(INPUTS.exists({(box31: Box) => box31.propositionBytes == coll19 })) }\n }\n if (bool23) {(\n val coll32 = coll24.filter({(box32: Box) => box32.R5[Coll[Byte]].get == coll9 })\n if (coll32.size == placeholder[Int](103)) {(\n val box33 = coll32(placeholder[Int](104))\n val coll34 = box33.R9[Coll[Long]].get\n val coll35 = box33.R4[Coll[Byte]].get\n if (((coll34.fold(placeholder[Boolean](105), {(tuple36: (Boolean, Long)) =>\n val bool38 = tuple36._1\n if (bool38) { bool38 } else { if (blake2b256(box33.R7[Coll[Byte]].get.append(coll12).append(longToByteArray(tuple36._2)).append(box33.R8[Coll[Byte]].get).append(coll35).append(coll13)) == box33.R5[Coll[Byte]].get) { placeholder[Boolean](106) } else { bool38 } }\n }) && (box33.value >= l11)) && (box33.creationInfo._1.toLong < l10)) && (coll34.size.toLong <= placeholder[Long](107))) {(\n val l36 = l25 * l17 / placeholder[Long](108)\n val l37 = l25 - l36 - l28 - l30\n val bool38 = l37 < l11\n val l39 = if (bool38) { placeholder[Long](109) } else { l30 }\n prop31 && sigmaProp(\n (\n (\n OUTPUTS.exists(\n {(box40: Box) =>\n (\n ((box40.value >= if (bool38) { l25 } else { l37 }) && (box40.propositionBytes == coll35)) && (box40.tokens.size == placeholder[Int](110))\n ) && (box40.tokens(placeholder[Int](111))._1 == coll7)\n }\n ) && OUTPUTS.exists(\n {(box40: Box) => (box40.value >= l15 + if (bool38) { placeholder[Long](112) } else { l36 }) && (box40.propositionBytes == coll19) }\n )\n ) && if (l39 > placeholder[Long](113)) { OUTPUTS.exists({(box40: Box) => (box40.value >= l39) && (box40.propositionBytes == coll22) }) } else {\n placeholder[Boolean](114)\n }\n ) && if (if (bool38) { placeholder[Long](115) } else { l28 } > placeholder[Long](116)) {\n CONTEXT.dataInputs.filter(\n {(box40: Box) =>\n ((blake2b256(box40.propositionBytes) == coll20) && (box40.tokens.size > placeholder[Int](117))) && coll14.exists(\n {(coll42: Coll[Byte]) => coll42 == box40.tokens(placeholder[Int](118))._1 }\n )\n }\n ).map({(box40: Box) => box40.R7[Coll[Byte]].get }).forall(\n {(coll40: Coll[Byte]) =>\n OUTPUTS.exists({(box42: Box) => (box42.propositionBytes == coll40) && (box42.value >= if (bool38) { placeholder[Long](119) } else { l26 }) })\n }\n )\n } else { placeholder[Boolean](120) }\n )\n )} else { sigmaProp(placeholder[Boolean](121)) }\n )} else { sigmaProp(placeholder[Boolean](122)) }\n )} else {\n prop31 && sigmaProp(\n (\n OUTPUTS.exists(\n {(box32: Box) =>\n (((box32.value >= l25 + l15 - l30 - l28) && (box32.propositionBytes == coll19)) && (box32.tokens.size == placeholder[Int](123))) && (\n box32.tokens(placeholder[Int](124))._1 == coll7\n )\n }\n ) && if (l30 > placeholder[Long](125)) { OUTPUTS.exists({(box32: Box) => (box32.value >= l30) && (box32.propositionBytes == coll22) }) } else {\n placeholder[Boolean](126)\n }\n ) && if (l28 > placeholder[Long](127)) {\n CONTEXT.dataInputs.filter(\n {(box32: Box) =>\n ((blake2b256(box32.propositionBytes) == coll20) && (box32.tokens.size > placeholder[Int](128))) && coll14.exists(\n {(coll34: Coll[Byte]) => coll34 == box32.tokens(placeholder[Int](129))._1 }\n )\n }\n ).map({(box32: Box) => box32.R7[Coll[Byte]].get }).forall(\n {(coll32: Coll[Byte]) => OUTPUTS.exists({(box34: Box) => (box34.propositionBytes == coll32) && (box34.value >= l26) }) }\n )\n } else { placeholder[Boolean](130) }\n )\n }\n )} else { sigmaProp(placeholder[Boolean](131)) }\n}",
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