Transaction
ID: 83352cba43...9c03
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0014202 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.04359372 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Address:
Settlement height:
Value:
0.0014202 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.04249372 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 70,080
Total coins transferred: 0.04501392 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000197 ERG
Raw Transaction Data
{
"id": "83352cba439d1caa4c12d9fb76abb033ac79bfe890689fe6307e9dbb4fba9c03",
"blockId": "8089f93fe12a19eb24f4cb124cc9c409776cb72948628405fe305d065415cf3a",
"inclusionHeight": 1689267,
"timestamp": 1767142123823,
"index": 18,
"globalIndex": 10061525,
"numConfirmations": 70080,
"inputs": [
{
"boxId": "239cbeb1b3570760db6ae39c4fbc601087bdde9d57117b631096db586495befe",
"value": 1420200,
"index": 0,
"spendingProof": null,
"outputBlockId": "80c98610b73b87b76bffc7cdf757ab60023efb00b7520ab8b1e3b44a3ea2177e",
"outputTransactionId": "95b5c9d61854986bdb521ee189ccf05a5384c92d85bbaebc275d929d28a4c82d",
"outputIndex": 0,
"outputGlobalIndex": 52637970,
"outputCreatedAt": 1689261,
"outputSettledAt": 1689262,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(4,-45,107,-71,-49,-24,-84,-37,-19,6,-47,42,13,118,-105,16,-1,-94,-95,77,-87,26,-105,-112,119,124,-112,104,-128,-92,-36,-18)\n2: 0\n3: 2\n4: 1\n5: 0\n6: 1\n7: 0\n8: 1\n9: 0\n10: true\n11: Coll(62,-20,75,88,66,-75,57,-101,-57,96,-12,-123,2,-97,91,66,82,39,115,78,-84,-45,125,11,-127,27,-66,41,72,67,9,-109)\n12: 1\n13: 0\n14: false\n15: true\n16: 10\n17: false\n18: 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)\n19: 0\n20: 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)\n21: 0\n22: 0\n23: 1\n24: 1\n25: 0\n26: 1\n27: 2\n28: 3\n29: 3\n30: 4\n31: 4\n32: 5\n33: 5\n34: 0\n35: 0\n36: 1\n37: 3\n38: 1\n39: false\n40: false\n41: false\n42: 2\n43: 0\n44: 5\n45: 1000000\n46: 1000000\n47: Coll(-30,2,-17,8,63,13,87,-9,42,-104,-14,113,37,38,-126,-84,-91,-88,-102,-22,-96,-30,104,41,-102,-96,-20,-23,1,9,-127,-63)\n48: 1\n49: 1\n50: 2\n51: 30\n52: false\n53: 0\n54: 0\n55: 0\n56: 1000000\n57: 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 = Coll[Byte]()\n val coll8 = SELF.tokens(placeholder[Int](2))._1\n val tuple9 = SELF.R5[(Coll[Byte], Long)].get\n val coll10 = tuple9._1\n val l11 = coll3(placeholder[Int](3))\n val coll12 = SELF.R9[Coll[Coll[Byte]]].get\n val coll13 = coll12(placeholder[Int](4))\n val bool14 = coll13 == coll7\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll13 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R7[Coll[Coll[Byte]]].get\n val l18 = tuple9._2\n sigmaProp((i1 == placeholder[Int](7)) && ((if (l2 >= l4) {(\n val coll19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == coll5 })\n if (coll19.size == placeholder[Int](8)) {(\n val box20 = coll19(placeholder[Int](9))\n val tuple21 = box20.R6[(Coll[Byte], Coll[Byte])].get\n val coll22 = tuple21._1\n val coll23 = tuple21._2\n if (((blake2b256(coll22) == coll6) && (blake2b256(box20.propositionBytes) == coll5)) && if (coll23 == coll7) { placeholder[Boolean](10) } else {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](11)) && (box24.R6[Coll[Byte]].get == coll8)) && (box24.R5[Coll[Byte]].get == coll23) })\n if (coll24.size == placeholder[Int](12)) {(\n val box25 = coll24(placeholder[Int](13))\n val coll26 = box25.R9[Coll[Long]].get\n ((coll26.fold(placeholder[Boolean](14), {(tuple27: (Boolean, Long)) =>\n val bool29 = tuple27._1\n if (bool29) { bool29 } else { if (blake2b256(box25.R7[Coll[Byte]].get.append(coll10).append(longToByteArray(tuple27._2)).append(box25.R8[Coll[Byte]].get).append(box25.R4[Coll[Byte]].get).append(coll22)) == box25.R5[Coll[Byte]].get) { placeholder[Boolean](15) } else { bool29 } }\n }) && if (bool14) { box25.value >= l11 } else { box25.tokens.exists({(tuple27: (Coll[Byte], Long)) => (tuple27._1 == coll13) && (tuple27._2 >= l11) }) }) && (box25.creationInfo._1.toLong < l4)) && (coll26.size.toLong <= placeholder[Long](16))\n )} else { placeholder[Boolean](17) }\n )}) {(\n val coll24 = CONTEXT.dataInputs.filter({(box24: Box) => ((((((blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18)) && (box24.tokens.size > placeholder[Int](19))) && (box24.R4[Coll[Byte]].get == placeholder[Coll[Byte]](20))) && (box24.R5[Coll[Byte]].get == coll8)) && box24.R6[Boolean].get) && box24.R8[Boolean].get) && coll17.exists({(coll26: Coll[Byte]) => coll26 == box24.tokens(placeholder[Int](21))._1 }) })\n val coll25 = coll24.map({(box25: Box) => box25.tokens(placeholder[Int](22))._1 })\n ((((((((((((((func15(box20) >= l16) && (box20.tokens.filter({(tuple26: (Coll[Byte], Long)) => tuple26._1 == coll8 }).size == placeholder[Int](23))) && (box20.R4[Int].get == placeholder[Int](24))) && (box20.R5[Coll[Byte]].get == coll10)) && (box20.R7[Coll[Coll[Byte]]].get == coll17)) && (box20.R8[Coll[Long]].get(placeholder[Int](25)) == l4)) && (box20.R8[Coll[Long]].get(placeholder[Int](26)) == l16)) && (box20.R8[Coll[Long]].get(placeholder[Int](27)) == l11)) && (box20.R8[Coll[Long]].get(placeholder[Int](28)) == coll3(placeholder[Int](29)))) && (box20.R8[Coll[Long]].get(placeholder[Int](30)) >= coll3(placeholder[Int](31)))) && (box20.R8[Coll[Long]].get(placeholder[Int](32)) >= l2 + placeholder[Long](33))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](34)) == coll12(placeholder[Int](35)))) && (box20.R9[Coll[Coll[Byte]]].get(placeholder[Int](36)) == coll13)) && (box20.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](37))) && coll25.indices.forall({(i26: Int) => !coll25.slice(i26 + placeholder[Int](38), coll24.size).exists({(coll28: Coll[Byte]) => coll28 == coll25(i26) }) })\n )} else { placeholder[Boolean](39) }\n )} else { placeholder[Boolean](40) }\n )} else { placeholder[Boolean](41) } || if ((l2 < l4) && (OUTPUTS.size >= placeholder[Int](42))) {(\n val box19 = OUTPUTS(placeholder[Int](43))\n val l20 = l16 - l16 / placeholder[Long](44)\n val l21 = if (bool14) { if (l20 < placeholder[Long](45)) { placeholder[Long](46) } else { l20 } } else { l20 }\n ((((((((blake2b256(box19.propositionBytes) == placeholder[Coll[Byte]](47)) && (func15(box19) >= l21)) && (box19.tokens.filter({(tuple22: (Coll[Byte], Long)) => (tuple22._1 == coll8) && (tuple22._2 == placeholder[Long](48)) }).size == placeholder[Int](49))) && (box19.R4[Int].get == placeholder[Int](50))) && (box19.R5[Long].get >= l2 + placeholder[Long](51))) && (blake2b256(box19.R6[Coll[Byte]].get) == coll6)) && (box19.R7[Long].get == l21)) && (box19.R8[Long].get == l4)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](52) }) || if ((l2 < l18) && (OUTPUTS.size > placeholder[Int](53))) {(\n val box19 = OUTPUTS.filter({(box19: Box) => blake2b256(box19.propositionBytes) == blake2b256(SELF.propositionBytes) })(placeholder[Int](54))\n val l20 = box19.value\n val tuple21 = box19.R5[(Coll[Byte], Long)].get\n ((((((((box19.tokens(placeholder[Int](55))._1 == coll8) && ((l20 >= placeholder[Long](56)) && (l20 == SELF.value))) && (tuple21._1 == blake2b256(coll10.append(SELF.id)))) && (tuple21._2 == l18)) && (box19.R4[Int].get == i1)) && (box19.R6[Coll[Byte]].get == coll6)) && (box19.R7[Coll[Coll[Byte]]].get == coll17)) && (box19.R8[Coll[Long]].get == coll3)) && (box19.R9[Coll[Coll[Byte]]].get == coll12)\n )} else { placeholder[Boolean](57) }))\n}",
"address": "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",
"assets": [
{
"tokenId": "b27631180ab21a6cb65a556d763a12c989504f62832f462d590af12b79f78b5f",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 500,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e086229d20039331a58dc9ace01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[6229d20039331a58,1689262]"
},
"R6": {
"serializedValue": "0e20b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a",
"sigmaType": "Coll[SByte]",
"renderedValue": "b4b3b5bb7d059e48b3acb460389c2ce69e90b426fe53d719da72873d846eaf2a"
},
"R8": {
"serializedValue": "1105e49ace01e807c8010028",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1689266,500,100,0,20]"
},
"R7": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[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,aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71]"
},
"R4": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
},
{
"boxId": "a50520ba6cf6bb84146591b47334e24140994976b353121e2a0e35ded30db33b",
"value": 43593720,
"index": 1,
"spendingProof": "0e10cec2d12b1c58f2de477c73af31bb870eb18cd6f12da97f46f24cc3e64a98e0534a9dd369f175e0d169b962d9893dd949c2605655c033",
"outputBlockId": "891b11dd5195764972c85a99bf4f2e669a04a39af7a7b0194ef8f2107c6f8ec8",
"outputTransactionId": "ab1294f8fa027f49e8dfd3e9a14d1abf7c55ceafe1ad2d21c81dd22dfd8d6aa1",
"outputIndex": 2,
"outputGlobalIndex": 52638014,
"outputCreatedAt": 1689262,
"outputSettledAt": 1689264,
"ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
"address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
"assets": [
{
"tokenId": "36d42afd15d00207ef4d9af9b3d720b5e09c74d2efabff6ad4b3fe7335b67961",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "aa59253a0a9d75d658eec7aeda90f350675b2e1eccfeeed17e5380f619603c71",
"index": 1,
"amount": 95832178,
"name": "CAT",
"decimals": 2,
"type": "EIP-004"
},
{
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"ergoTreeConstants": "0: 5\n1: Coll(62,-20,75,88,66,-75,57,-101,-57,96,-12,-123,2,-97,91,66,82,39,115,78,-84,-45,125,11,-127,27,-66,41,72,67,9,-109)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 2\n7: -1\n8: false\n9: true\n10: 1\n11: 3\n12: 4\n13: 2\n14: 1000000\n15: 0\n16: 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)\n17: Coll(0,8,-51)\n18: 1\n19: 1\n20: 1\n21: 1\n22: 0\n23: 0\n24: 10\n25: -1\n26: 1\n27: 0\n28: -1\n29: 0\n30: 1\n31: 0\n32: 1\n33: 2\n34: 3\n35: 4\n36: 5\n37: 0\n38: 0\n39: 1\n40: 2\n41: 5\n42: 5\n43: 3\n44: false\n45: false\n46: false\n47: false\n48: false\n49: 0\n50: 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)\n51: 0\n52: 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)\n53: 0\n54: 0\n55: 1\n56: 0\n57: 0\n58: 2\n59: 1\n60: 1\n61: 0\n62: true\n63: 1\n64: 0\n65: 10\n66: false\n67: 1\n68: 0\n69: 5\n70: 5\n71: 0\n72: 1\n73: 0\n74: 1\n75: 2\n76: 3\n77: 4\n78: 0\n79: false\n80: false\n81: false\n82: 0\n83: 0\n84: 100\n85: 0\n86: 0\n87: 5\n88: 100\n89: 0\n90: 0\n91: 0\n92: 0\n93: 0\n94: true\n95: 0\n96: Coll(25,-58,3,14,5,0,5,0,4,0,14,32,58,-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,-107,4,0,4,0,4,0,4,2,1,0,5,0,5,0,4,0,4,2,1,1,-40,5,-42,1,-28,-58,-89,5,14,-42,2,-39,1,2,99,-107,-109,114,1,-125,0,2,-63,114,2,-80,-75,-37,99,8,114,2,-39,1,4,77)\n97: 1\n98: 0\n99: false\n100: true\n101: 0\n102: 3\n103: 3\n104: 5\n105: 0\n106: 0\n107: 0\n108: 3\n109: 3\n110: false\n111: 1\n112: 0\n113: 10\n114: 100\n115: 0\n116: 0\n117: 10000000\n118: 0\n119: 0\n120: 0\n121: 0\n122: 0\n123: 0\n124: 0\n125: 0\n126: true\n127: 0\n128: 0\n129: true\n130: false\n131: false\n132: 0\n133: 0\n134: 10000000\n135: 0\n136: 0\n137: 0\n138: 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 coll11 = SELF.R9[Coll[Coll[Byte]]].get\n val coll12 = coll11(placeholder[Int](4))\n val coll13 = Coll[Byte]()\n val bool14 = coll12 == coll13\n val func15 = {(box15: Box) =>\n if (bool14) { box15.value } else {\n box15.tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll12 }).fold(\n placeholder[Long](5), {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 + tuple17._2._2 }\n )\n }\n }\n val l16 = coll3(placeholder[Int](6))\n val coll17 = SELF.R5[Coll[Byte]].get\n val coll18 = tuple8._1\n val func19 = {(box19: Box) => box19.R9[Coll[Long]].get.fold((placeholder[Long](7), placeholder[Boolean](8)), {(tuple21: ((Long, Boolean), Long)) =>\n val tuple23 = tuple21._1\n val l24 = tuple21._2\n if (tuple23._2) { tuple23 } else { if (blake2b256(box19.R7[Coll[Byte]].get.append(coll17).append(longToByteArray(l24)).append(box19.R8[Coll[Byte]].get).append(box19.R4[Coll[Byte]].get).append(coll18)) == box19.R5[Coll[Byte]].get) { (l24, placeholder[Boolean](9)) } else { tuple23 } }\n }) }\n val coll20 = SELF.R7[Coll[Coll[Byte]]].get\n val l21 = coll3(placeholder[Int](10))\n val l22 = coll3(placeholder[Int](11))\n val l23 = coll3(placeholder[Int](12))\n val coll24 = coll11(placeholder[Int](13))\n val l25 = if (bool14) { placeholder[Long](14) } else { placeholder[Long](15) }\n val coll26 = placeholder[Coll[Byte]](16)\n val coll27 = placeholder[Coll[Byte]](17)\n sigmaProp(i1 == placeholder[Int](18)) && sigmaProp(if ((bool5 && (INPUTS.size > placeholder[Int](19))) && (OUTPUTS.size > placeholder[Int](20))) {(\n val coll28 = CONTEXT.dataInputs\n val coll29 = coll28.filter({(box29: Box) => ((blake2b256(box29.propositionBytes) == coll6) && (box29.R6[Coll[Byte]].get == coll7)) && (box29.R5[Coll[Byte]].get != coll9) })\n if (coll29.size == placeholder[Int](21)) {(\n val box30 = coll29(placeholder[Int](22))\n val box31 = OUTPUTS(placeholder[Int](23))\n if (((((blake2b256(box30.propositionBytes) == coll6) && (box30.R6[Coll[Byte]].get == coll7)) && (box30.creationInfo._1.toLong < l10)) && (func15(box30) >= l16)) && (box30.R9[Coll[Long]].get.size.toLong <= placeholder[Long](24))) {(\n val l32 = func19(box30)._1\n val bool33 = l32 != placeholder[Long](25)\n if (bool33) {(\n val coll34 = if (coll9 == coll13) { box30.R5[Coll[Byte]].get } else {(\n val coll34 = coll28.filter({(box34: Box) => ((blake2b256(box34.propositionBytes) == coll6) && (box34.R5[Coll[Byte]].get == coll9)) && (box34.R6[Coll[Byte]].get == coll7) })\n if (coll34.size == placeholder[Int](26)) {(\n val box35 = coll34(placeholder[Int](27))\n val tuple36 = func19(box35)\n val l37 = tuple36._1\n if (tuple36._2 && (l37 != placeholder[Long](28))) {(\n val i38 = box30.creationInfo._1\n val l39 = l32 * l10 - i38.toLong\n val i40 = box35.creationInfo._1\n val l41 = l37 * l10 - i40.toLong\n if ((l39 > l41) || ((l39 == l41) && (i38 < i40))) { box30.R5[Coll[Byte]].get } else { coll13 }\n )} else { coll13 }\n )} else { coll13 }\n )}\n if ((coll34 != coll13) && (coll34 != coll9)) { ((((((((((((((((((func15(box31) >= func15(SELF)) && (box31.tokens(placeholder[Int](29))._1 == coll7)) && (box31.R4[Int].get == i1)) && (i1 == placeholder[Int](30))) && (box31.R5[Coll[Byte]].get == coll17)) && (box31.R6[(Coll[Byte], Coll[Byte])].get._1 == coll18)) && (box31.R6[(Coll[Byte], Coll[Byte])].get._2 == coll34)) && (box31.R7[Coll[Coll[Byte]]].get == coll20)) && (box31.R8[Coll[Long]].get(placeholder[Int](31)) == l10)) && (box31.R8[Coll[Long]].get(placeholder[Int](32)) == l21)) && (box31.R8[Coll[Long]].get(placeholder[Int](33)) == l16)) && (box31.R8[Coll[Long]].get(placeholder[Int](34)) == l22)) && (box31.R8[Coll[Long]].get(placeholder[Int](35)) == l23)) && (box31.R8[Coll[Long]].get(placeholder[Int](36)) == l4)) && (box31.R9[Coll[Coll[Byte]]].get(placeholder[Int](37)) == coll11(placeholder[Int](38)))) && (box31.R9[Coll[Coll[Byte]]].get(placeholder[Int](39)) == coll12)) && ((box31.R9[Coll[Coll[Byte]]].get(placeholder[Int](40)) == coll24) || (l4 - placeholder[Long](41) + placeholder[Long](42) < l2))) && (box31.R9[Coll[Coll[Byte]]].get.size == placeholder[Int](43))) && bool33 } else { placeholder[Boolean](44) }\n )} else { placeholder[Boolean](45) }\n )} else { placeholder[Boolean](46) }\n )} else { placeholder[Boolean](47) }\n )} else { placeholder[Boolean](48) }) || sigmaProp(if (bool5 && (CONTEXT.dataInputs.size > placeholder[Int](49))) {(\n val coll28 = CONTEXT.dataInputs\n val coll29 = coll28.filter({(box29: Box) => ((((((blake2b256(box29.propositionBytes) == placeholder[Coll[Byte]](50)) && (box29.tokens.size > placeholder[Int](51))) && (box29.R4[Coll[Byte]].get == placeholder[Coll[Byte]](52))) && (box29.R5[Coll[Byte]].get == coll9)) && box29.R6[Boolean].get) && (!box29.R8[Boolean].get)) && coll20.exists({(coll31: Coll[Byte]) => coll31 == box29.tokens(placeholder[Int](53))._1 }) })\n val coll30 = coll29.map({(box30: Box) => box30.tokens(placeholder[Int](54))._1 })\n val i31 = coll29.size\n val i32 = coll20.size\n val coll33 = OUTPUTS.filter({(box33: Box) => box33.propositionBytes == SELF.propositionBytes })\n if ((coll30.indices.forall({(i34: Int) => !coll30.slice(i34 + placeholder[Int](55), i31).exists({(coll36: Coll[Byte]) => coll36 == coll30(i34) }) }) && (i31 >= if (i32 == placeholder[Int](56)) { placeholder[Int](57) } else { i32 / placeholder[Int](58) + placeholder[Int](59) })) && (coll33.size == placeholder[Int](60))) {(\n val box34 = coll33(placeholder[Int](61))\n val coll35 = box34.R6[(Coll[Byte], Coll[Byte])].get._2\n val coll36 = INPUTS.filter({(box36: Box) => (blake2b256(box36.propositionBytes) == coll6) && (box36.R5[Coll[Byte]].get == coll9) })\n if (if (coll35 == coll13) { placeholder[Boolean](62) } else {(\n val coll37 = coll28.filter({(box37: Box) => ((blake2b256(box37.propositionBytes) == coll6) && (box37.R6[Coll[Byte]].get == coll7)) && (box37.R5[Coll[Byte]].get == coll35) })\n if (coll37.size == placeholder[Int](63)) {(\n val box38 = coll37(placeholder[Int](64))\n ((func19(box38)._2 && (func15(box38) >= l16)) && (box38.creationInfo._1.toLong < l10)) && (box38.R9[Coll[Long]].get.size.toLong <= placeholder[Long](65))\n )} else { placeholder[Boolean](66) }\n )} && (coll36.size == placeholder[Int](67))) {(\n val coll37 = box34.R8[Coll[Long]].get\n ((func15(box34) >= func15(SELF) + func15(coll36(placeholder[Int](68)))) && (coll37(placeholder[Int](69)) >= l2 + placeholder[Long](70))) && (((((((((((box34.tokens(placeholder[Int](71))._1 == coll7) && (box34.R4[Int].get == i1)) && (i1 == placeholder[Int](72))) && (box34.R5[Coll[Byte]].get == coll17)) && (box34.R7[Coll[Coll[Byte]]].get == coll20)) && (coll37(placeholder[Int](73)) == l10)) && (coll37(placeholder[Int](74)) == l21)) && (coll37(placeholder[Int](75)) == l16)) && (coll37(placeholder[Int](76)) == l22 + l23)) && (coll37(placeholder[Int](77)) == placeholder[Long](78))) && (box34.R9[Coll[Coll[Byte]]].get == coll11))\n )} else { placeholder[Boolean](79) }\n )} else { placeholder[Boolean](80) }\n )} else { placeholder[Boolean](81) }) || if ((l2 >= l4) && (OUTPUTS.size > placeholder[Int](82))) {(\n val bool28 = coll9 != coll13\n val coll29 = INPUTS.filter({(box29: Box) => (blake2b256(box29.propositionBytes) == coll6) && (box29.R6[Coll[Byte]].get == coll7) })\n val l30 = coll29.fold(placeholder[Long](83), {(tuple30: (Long, Box)) => tuple30._1 + func15(tuple30._2) }) + func15(SELF) - l21\n val l31 = l30 * l22 / placeholder[Long](84)\n val l32 = l31 * coll20.size.toLong\n val l33 = l32 - if ((l31 < l25) && (l31 > placeholder[Long](85))) { l32 } else { placeholder[Long](86) }\n val l34 = l30 * placeholder[Long](87) / placeholder[Long](88)\n val l35 = l34 - if ((l34 < l25) && (l34 > placeholder[Long](89))) { l34 } else { placeholder[Long](90) }\n val bool36 = if (l35 > placeholder[Long](91)) {\n OUTPUTS.filter({(box36: Box) => box36.propositionBytes == coll26 }).fold(\n placeholder[Long](92), {(tuple36: (Long, Box)) => tuple36._1 + func15(tuple36._2) }\n ) - INPUTS.filter({(box36: Box) => box36.propositionBytes == coll26 }).fold(\n placeholder[Long](93), {(tuple36: (Long, Box)) => tuple36._1 + func15(tuple36._2) }\n ) >= l35\n } else { placeholder[Boolean](94) }\n val bool37 = if (l33 > placeholder[Long](95)) {(\n val coll37 = OUTPUTS.filter({(box37: Box) => box37.propositionBytes == placeholder[Coll[Byte]](96) })\n if (coll37.size == placeholder[Int](97)) {(\n val box38 = coll37(placeholder[Int](98))\n ((func15(box38) >= l33) && (box38.R4[Coll[Coll[Byte]]].get == coll20)) && (box38.R5[Coll[Byte]].get == coll12)\n )} else { placeholder[Boolean](99) }\n )} else { placeholder[Boolean](100) }\n val prop38 = if (coll24.slice(placeholder[Int](101), placeholder[Int](102)) == coll27) {\n proveDlog(decodePoint(coll24.slice(placeholder[Int](103), coll24.size)))\n } else { sigmaProp(INPUTS.exists({(box38: Box) => box38.propositionBytes == coll24 })) }\n val coll39 = INPUTS.filter({(box39: Box) => (blake2b256(box39.propositionBytes) == coll6) && (box39.R5[Coll[Byte]].get == coll9) })\n val prop40 = if (bool28) { if (l2 >= l4 + placeholder[Long](104)) { prop38 } else { if (coll39.size > placeholder[Int](105)) {(\n val coll40 = coll39(placeholder[Int](106)).R4[Coll[Byte]].get\n if (coll40.slice(placeholder[Int](107), placeholder[Int](108)) == coll27) { proveDlog(decodePoint(coll40.slice(placeholder[Int](109), coll40.size))) } else { sigmaProp(INPUTS.exists({(box41: Box) => box41.propositionBytes == coll40 })) }\n )} else { sigmaProp(placeholder[Boolean](110)) } } } else { prop38 }\n if (bool28) {(\n val coll41 = coll29.filter({(box41: Box) => box41.R5[Coll[Byte]].get == coll9 })\n if (coll41.size == placeholder[Int](111)) {(\n val box42 = coll41(placeholder[Int](112))\n if (((func19(box42)._2 && (func15(box42) >= l16)) && (box42.creationInfo._1.toLong < l10)) && (\n box42.R9[Coll[Long]].get.size.toLong <= placeholder[Long](113)\n )) {(\n val coll43 = box42.R4[Coll[Byte]].get\n val l44 = l30 * l23 / placeholder[Long](114)\n val l45 = l30 - l44 - l33 - l35\n val bool46 = l45 < l16\n prop40 && sigmaProp(\n (\n (\n (\n (\n OUTPUTS.filter({(box47: Box) => box47.propositionBytes == coll43 }).fold(\n placeholder[Long](115), {(tuple47: (Long, Box)) => tuple47._1 + func15(tuple47._2) }\n ) - INPUTS.filter({(box47: Box) => box47.propositionBytes == coll43 }).fold(\n placeholder[Long](116), {(tuple47: (Long, Box)) => tuple47._1 + func15(tuple47._2) }\n ) >= if (bool46) { l30 } else { l45 } - if (bool14) { placeholder[Long](117) } else { placeholder[Long](118) }\n ) && OUTPUTS.exists(\n {(box47: Box) =>\n ((box47.propositionBytes == coll43) && (box47.tokens.size > placeholder[Int](119))) && (box47.tokens(placeholder[Int](120))._1 == coll7)\n }\n )\n ) && (\n OUTPUTS.filter({(box47: Box) => box47.propositionBytes == coll24 }).fold(\n placeholder[Long](121), {(tuple47: (Long, Box)) => tuple47._1 + func15(tuple47._2) }\n ) - INPUTS.filter({(box47: Box) => box47.propositionBytes == coll24 }).fold(\n placeholder[Long](122), {(tuple47: (Long, Box)) => tuple47._1 + func15(tuple47._2) }\n ) >= l21 + if (bool46) { placeholder[Long](123) } else { l44 }\n )\n ) && if (if (bool46) { placeholder[Long](124) } else { l35 } == placeholder[Long](125)) { placeholder[Boolean](126) } else { bool36 }\n ) && if (if (bool46) { placeholder[Long](127) } else { l33 } == placeholder[Long](128)) { placeholder[Boolean](129) } else { bool37 }\n )\n )} else { sigmaProp(placeholder[Boolean](130)) }\n )} else { sigmaProp(placeholder[Boolean](131)) }\n )} else {\n prop40 && sigmaProp(\n (\n (\n (\n OUTPUTS.filter({(box41: Box) => box41.propositionBytes == coll24 }).fold(\n placeholder[Long](132), {(tuple41: (Long, Box)) => tuple41._1 + func15(tuple41._2) }\n ) - INPUTS.filter({(box41: Box) => box41.propositionBytes == coll24 }).fold(\n placeholder[Long](133), {(tuple41: (Long, Box)) => tuple41._1 + func15(tuple41._2) }\n ) >= l30 + l21 - l35 - l33 - if (bool14) { placeholder[Long](134) } else { placeholder[Long](135) }\n ) && OUTPUTS.exists(\n {(box41: Box) =>\n ((box41.propositionBytes == coll24) && (box41.tokens.size > placeholder[Int](136))) && (box41.tokens(placeholder[Int](137))._1 == coll7)\n }\n )\n ) && bool36\n ) && bool37\n )\n }\n )} else { sigmaProp(placeholder[Boolean](138)) }\n}",
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"additionalRegisters": {
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