Transaction
ID: fcc5bd3fc0...f369
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00204444 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00971248 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00204444 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00861248 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 99,732
Total coins transferred: 0.01175692 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000264 ERG
Raw Transaction Data
{
"id": "fcc5bd3fc0222dbf3e6a252e625325c65748618552c8608b2ee8a090b207f369",
"blockId": "e5548dbbe1190d0aef97db3f1b0e3c8dba8a3c331ff14b591e48d819860b2af8",
"inclusionHeight": 1662047,
"timestamp": 1763854217914,
"index": 2,
"globalIndex": 9844135,
"numConfirmations": 99732,
"inputs": [
{
"boxId": "0b9baf6343bda3a5f3cbcc6862cf8c985ce0ce17609e3fa53c70bb9324c2e9e4",
"value": 2044440,
"index": 0,
"spendingProof": null,
"outputBlockId": "b8a565ca2a214ef9b0f5339e16c0029309a3baf2b02c14c62e8d90e90f9244c8",
"outputTransactionId": "4388be2512752ae99fa839890a6d0c11f96fc6351b54444785c4dca258e2ea91",
"outputIndex": 0,
"outputGlobalIndex": 51756833,
"outputCreatedAt": 1662025,
"outputSettledAt": 1662028,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: true\n6: 1\n7: 2\n8: 1\n9: 2\n10: 3\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 2\n17: Coll(49,-84,15,114,-80,54,80,42,23,-30,127,-13,-68,-98,-79,-77,-82,78,-17,-102,-92,-93,-61,-67,-127,-124,117,-42,50,108,-67,-97)\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 1\n30: 2\n31: 0\n32: 0\n33: Coll()\n34: true\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: Coll(0,8,-51,3,-122,-106,-16,-65,-96,30,-49,18,68,-82,8,87,-100,-66,72,108,-9,85,-40,-110,-34,117,76,-74,116,23,-101,-77,41,59,121,-64)\n42: Coll(22,-58,101,-89,92,-128,47,26,119,96,50,1,-100,56,-42,-49,-69,117,5,78,63,52,69,106,-52,-87,-109,106,-7,-23,-8,118)\n43: true\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 5\n50: 100\n51: 0\n52: true\n53: true\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: true\n63: 0\n64: 3\n65: Coll(0,8,-51)\n66: false\n67: 3\n68: 36\n69: false\n70: 0\n71: 0\n72: 0\n73: 0\n74: false\n75: 0\n76: 0\n77: 1\n78: 0\n79: false\n80: 0\n81: 0\n82: 0\n83: 0\n84: true\n85: true\n86: 0\n87: 0\n88: 0\n89: true\n90: 0\n91: 0\n92: 0\n93: false\n94: 0\n95: 0\n96: false\n97: 0\n98: 0\n99: 2\n100: 0\n101: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = (OUTPUTS.size > placeholder[Int](0)) && (OUTPUTS(placeholder[Int](1)).propositionBytes == coll1)\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](2))\n val i5 = SELF.R4[Int].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R7[Long].get\n val bool8 = bool2 && \n val box8 = OUTPUTS(placeholder[Int](3))\n val coll9 = box8.tokens\n (\n (\n (\n ((((tuple4._1 == coll9(placeholder[Int](4))._1) && (i5 == box8.R4[Int].get)) && (l6 == box8.R5[Long].get)) && (l7 == box8.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box8.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box8.R9[Coll[Byte]].get)\n ) && (coll1 == box8.propositionBytes)\n ) && if (placeholder[Boolean](5)) {(\n val i10 = coll9.size\n (i10 == placeholder[Int](6)) || (i10 == placeholder[Int](7))\n )} else {(\n val i10 = coll9.size\n ((i10 == placeholder[Int](8)) || (i10 == placeholder[Int](9))) || (i10 == placeholder[Int](10))\n )}\n \n val bool9 = !bool2\n val coll10 = SELF.R6[Coll[Long]].get\n val l11 = coll10(placeholder[Int](11))\n val bool12 = bool9 || (l11 == OUTPUTS(placeholder[Int](12)).R6[Coll[Long]].get(placeholder[Int](13)))\n val l13 = coll10(placeholder[Int](14))\n val bool14 = bool9 || (l13 == OUTPUTS(placeholder[Int](15)).R6[Coll[Long]].get(placeholder[Int](16)))\n val coll15 = placeholder[Coll[Byte]](17)\n val bool16 = bool9 || \n val coll16 = coll3.filter({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll15 })\n val coll17 = OUTPUTS(placeholder[Int](18)).tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll15 })\n if (coll16.size > placeholder[Int](19)) { coll16(placeholder[Int](20))._2 } else { placeholder[Long](21) } == if (coll17.size > placeholder[Int](22)) {\n coll17(placeholder[Int](23))._2\n } else { placeholder[Long](24) }\n \n val l17 = tuple4._2\n val func18 = {(box18: Box) =>\n val coll20 = box18.tokens.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll15 })\n val coll21 = box18.R6[Coll[Long]].get\n val l22 = if (coll20.size > placeholder[Int](25)) { coll20(placeholder[Int](26))._2 } else { placeholder[Long](27) } - coll21(\n placeholder[Int](28)\n ) + coll21(placeholder[Int](29)) + coll21(placeholder[Int](30))\n if (l22 < placeholder[Long](31)) { placeholder[Long](32) } else { l22 }\n }\n val coll19 = placeholder[Coll[Byte]](33)\n val func20 = {(box20: Box) => if (placeholder[Boolean](34)) { box20.value } else {(\n val coll22 = box20.tokens.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll19 })\n if (coll22.size > placeholder[Int](35)) { coll22(placeholder[Int](36))._2 } else { placeholder[Long](37) }\n )} }\n val l21 = coll10(placeholder[Int](38))\n val bool22 = bool9 || (l21 == OUTPUTS(placeholder[Int](39)).R6[Coll[Long]].get(placeholder[Int](40)))\n val coll23 = placeholder[Coll[Byte]](41)\n val coll24 = OUTPUTS.filter({(box24: Box) => box24.propositionBytes == coll23 })\n val coll25 = OUTPUTS.filter({(box25: Box) => blake2b256(box25.propositionBytes) == placeholder[Coll[Byte]](42) })\n val l26 = SELF.value\n val l27 = if (placeholder[Boolean](43)) { if (bool2) { l26 - OUTPUTS(placeholder[Int](44)).value } else { l26 } } else {\n func20(SELF) - if (bool2) { func20(OUTPUTS(placeholder[Int](45))) } else { placeholder[Long](46) }\n }\n val bool28 = bool9 || (l17 == OUTPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2)\n val l29 = l27 * placeholder[Int](49).toLong / placeholder[Long](50)\n val l30 = l27 - l29\n val bool31 = l21 >= l6\n val bool32 = bool9 || \n val box32 = OUTPUTS(placeholder[Int](51))\n (l26 == box32.value) && if (placeholder[Boolean](52)) { placeholder[Boolean](53) } else { func20(SELF) == func20(box32) }\n \n val coll33 = coll3.filter({(tuple33: (Coll[Byte], Long)) => tuple33._1 == coll15 })\n val l34 = if (bool2) {(\n val coll34 = OUTPUTS(placeholder[Int](54)).tokens.filter({(tuple34: (Coll[Byte], Long)) => tuple34._1 == coll15 })\n if (coll34.size > placeholder[Int](55)) { coll34(placeholder[Int](56))._2 } else { placeholder[Long](57) }\n )} else { placeholder[Long](58) } - if (coll33.size > placeholder[Int](59)) { coll33(placeholder[Int](60))._2 } else { placeholder[Long](61) }\n val l35 = !l34\n val prop36 = sigmaProp(INPUTS.exists({(box36: Box) => box36.propositionBytes == coll23 })) || if (if (placeholder[Boolean](62)) {\n coll23.slice(placeholder[Int](63), placeholder[Int](64)) == placeholder[Coll[Byte]](65)\n } else { placeholder[Boolean](66) }) { proveDlog(decodePoint(coll23.slice(placeholder[Int](67), placeholder[Int](68)))) } else {\n sigmaProp(placeholder[Boolean](69))\n }\n if (bool8) {(\n val box37 = OUTPUTS(placeholder[Int](70))\n val l38 = l17 - box37.tokens(placeholder[Int](71))._2\n val l39 = box37.R6[Coll[Long]].get(placeholder[Int](72)) - l21\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool8, bool12, bool14, bool16)), l38 <= func18(SELF), func20(box37) - func20(SELF) == l38 * l7, allOf(\n Coll[Boolean](l38 == l39, l39 > placeholder[Long](73))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](74)) } || if (bool8) {(\n val box37 = OUTPUTS(placeholder[Int](75))\n val l38 = box37.tokens(placeholder[Int](76))._2 - l17\n val l39 = box37.R6[Coll[Long]].get(placeholder[Int](77)) - l11\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool8, bool22, bool14, bool16)), (HEIGHT > i5) && (l21 < l6), allOf(\n Coll[Boolean](l38 == l39, l39 > placeholder[Long](78))\n ), func20(SELF) - func20(box37) == l38 * l7\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](79)) } || if ((coll24.size > placeholder[Int](80)) && (coll25.size > placeholder[Int](81))) {(\n val box37 = coll25(placeholder[Int](82))\n val box38 = coll24(placeholder[Int](83))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool8 || (\n if (placeholder[Boolean](84)) { l27 == l26 } else { l27 == func20(SELF) } && (\n !coll3.exists({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll15 })\n )\n ), bool22, bool12, bool14, bool28, bool16\n )\n ), bool31, if (placeholder[Boolean](85)) { box37.value == l29 } else {(\n val coll39 = box37.tokens.filter({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll19 })\n if (coll39.size > placeholder[Int](86)) { coll39(placeholder[Int](87))._2 } else { placeholder[Long](88) } == l29\n )}, if (placeholder[Boolean](89)) { box38.value == l30 } else {(\n val coll39 = box38.tokens.filter({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll19 })\n if (coll39.size > placeholder[Int](90)) { coll39(placeholder[Int](91))._2 } else { placeholder[Long](92) } == l30\n )}\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](93)) } || sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool8 || (!OUTPUTS.exists({(box37: Box) => box37.propositionBytes == coll1 })), bool22, bool12, bool14, bool32, bool28)\n ), l34 < placeholder[Long](94), l35 <= func18(SELF)\n )\n )\n ) && prop36 || if (bool2) {\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](bool8, bool22, bool12, bool14, bool32, bool28)), l34 > placeholder[Long](95)))) && prop36\n } else { sigmaProp(placeholder[Boolean](96)) } || if (bool2) {(\n val box37 = OUTPUTS(placeholder[Int](97))\n val l38 = box37.tokens(placeholder[Int](98))._2 - l17\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool8, bool22, bool12, bool32)), bool31, l38 == box37.R6[Coll[Long]].get(placeholder[Int](99)) - l13, allOf(\n Coll[Boolean](l38 == l35, l38 > placeholder[Long](100))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](101)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "e91df6b52ba1969b9bc6135ce8394cd3a64e8dfb228c578434c0895d69ffe8a2",
"index": 0,
"amount": 1000000000002,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 1,
"amount": 100,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
},
"R8": {
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"sigmaType": "SInt",
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},
{
"boxId": "660c82dbf3c385f35c72a5a8e0f0a0bb1c18c087e2e40127c3aede3448dfe74d",
"value": 9712480,
"index": 1,
"spendingProof": "73ded32aa1d62af5099d6ba71d7f3885f15235c96da36b7ad0c8f6151e59b7b6636a8da496652ad7651cb577d73031c259c3a3bb2ee5507d",
"outputBlockId": "24b4103885a3f20b71bef5ddd04eb2a110ed8cd09a023d09cfdb0e2b7e41706d",
"outputTransactionId": "c7bc310ca7a1c06ba3fcac0c537063dabc5b173413e3f4baac3242adb1fc6a9b",
"outputIndex": 3,
"outputGlobalIndex": 51757768,
"outputCreatedAt": 1662043,
"outputSettledAt": 1662045,
"ergoTree": "0008cd038696f0bfa01ecf1244ae08579cbe486cf755d892de754cb674179bb3293b79c0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8696f0,515cda,...)))}",
"address": "9hV5btmWVVr8sAfp3im1A8Zf8Akd2HsJtRkUiVCvEwrEUuo38V7",
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{
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"index": 0,
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},
{
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},
{
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"name": "ClaimRSN.tech",
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},
{
"tokenId": "ed2197ebb2b958670cb568aeed54693617a3f3718d16d1a298b8c8d337193da0",
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"name": "ClaimRSN.tech",
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},
{
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "fcc5bd3fc0222dbf3e6a252e625325c65748618552c8608b2ee8a090b207f369",
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"value": 2044440,
"index": 0,
"globalIndex": 51757918,
"creationHeight": 1662045,
"settlementHeight": 1662047,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: true\n6: 1\n7: 2\n8: 1\n9: 2\n10: 3\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 2\n17: Coll(49,-84,15,114,-80,54,80,42,23,-30,127,-13,-68,-98,-79,-77,-82,78,-17,-102,-92,-93,-61,-67,-127,-124,117,-42,50,108,-67,-97)\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 1\n30: 2\n31: 0\n32: 0\n33: Coll()\n34: true\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: Coll(0,8,-51,3,-122,-106,-16,-65,-96,30,-49,18,68,-82,8,87,-100,-66,72,108,-9,85,-40,-110,-34,117,76,-74,116,23,-101,-77,41,59,121,-64)\n42: Coll(22,-58,101,-89,92,-128,47,26,119,96,50,1,-100,56,-42,-49,-69,117,5,78,63,52,69,106,-52,-87,-109,106,-7,-23,-8,118)\n43: true\n44: 0\n45: 0\n46: 0\n47: 0\n48: 0\n49: 5\n50: 100\n51: 0\n52: true\n53: true\n54: 0\n55: 0\n56: 0\n57: 0\n58: 0\n59: 0\n60: 0\n61: 0\n62: true\n63: 0\n64: 3\n65: Coll(0,8,-51)\n66: false\n67: 3\n68: 36\n69: false\n70: 0\n71: 0\n72: 0\n73: 0\n74: false\n75: 0\n76: 0\n77: 1\n78: 0\n79: false\n80: 0\n81: 0\n82: 0\n83: 0\n84: true\n85: true\n86: 0\n87: 0\n88: 0\n89: true\n90: 0\n91: 0\n92: 0\n93: false\n94: 0\n95: 0\n96: false\n97: 0\n98: 0\n99: 2\n100: 0\n101: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = (OUTPUTS.size > placeholder[Int](0)) && (OUTPUTS(placeholder[Int](1)).propositionBytes == coll1)\n val coll3 = SELF.tokens\n val tuple4 = coll3(placeholder[Int](2))\n val i5 = SELF.R4[Int].get\n val l6 = SELF.R5[Long].get\n val l7 = SELF.R7[Long].get\n val bool8 = bool2 && \n val box8 = OUTPUTS(placeholder[Int](3))\n val coll9 = box8.tokens\n (\n (\n (\n ((((tuple4._1 == coll9(placeholder[Int](4))._1) && (i5 == box8.R4[Int].get)) && (l6 == box8.R5[Long].get)) && (l7 == box8.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box8.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box8.R9[Coll[Byte]].get)\n ) && (coll1 == box8.propositionBytes)\n ) && if (placeholder[Boolean](5)) {(\n val i10 = coll9.size\n (i10 == placeholder[Int](6)) || (i10 == placeholder[Int](7))\n )} else {(\n val i10 = coll9.size\n ((i10 == placeholder[Int](8)) || (i10 == placeholder[Int](9))) || (i10 == placeholder[Int](10))\n )}\n \n val bool9 = !bool2\n val coll10 = SELF.R6[Coll[Long]].get\n val l11 = coll10(placeholder[Int](11))\n val bool12 = bool9 || (l11 == OUTPUTS(placeholder[Int](12)).R6[Coll[Long]].get(placeholder[Int](13)))\n val l13 = coll10(placeholder[Int](14))\n val bool14 = bool9 || (l13 == OUTPUTS(placeholder[Int](15)).R6[Coll[Long]].get(placeholder[Int](16)))\n val coll15 = placeholder[Coll[Byte]](17)\n val bool16 = bool9 || \n val coll16 = coll3.filter({(tuple16: (Coll[Byte], Long)) => tuple16._1 == coll15 })\n val coll17 = OUTPUTS(placeholder[Int](18)).tokens.filter({(tuple17: (Coll[Byte], Long)) => tuple17._1 == coll15 })\n if (coll16.size > placeholder[Int](19)) { coll16(placeholder[Int](20))._2 } else { placeholder[Long](21) } == if (coll17.size > placeholder[Int](22)) {\n coll17(placeholder[Int](23))._2\n } else { placeholder[Long](24) }\n \n val l17 = tuple4._2\n val func18 = {(box18: Box) =>\n val coll20 = box18.tokens.filter({(tuple20: (Coll[Byte], Long)) => tuple20._1 == coll15 })\n val coll21 = box18.R6[Coll[Long]].get\n val l22 = if (coll20.size > placeholder[Int](25)) { coll20(placeholder[Int](26))._2 } else { placeholder[Long](27) } - coll21(\n placeholder[Int](28)\n ) + coll21(placeholder[Int](29)) + coll21(placeholder[Int](30))\n if (l22 < placeholder[Long](31)) { placeholder[Long](32) } else { l22 }\n }\n val coll19 = placeholder[Coll[Byte]](33)\n val func20 = {(box20: Box) => if (placeholder[Boolean](34)) { box20.value } else {(\n val coll22 = box20.tokens.filter({(tuple22: (Coll[Byte], Long)) => tuple22._1 == coll19 })\n if (coll22.size > placeholder[Int](35)) { coll22(placeholder[Int](36))._2 } else { placeholder[Long](37) }\n )} }\n val l21 = coll10(placeholder[Int](38))\n val bool22 = bool9 || (l21 == OUTPUTS(placeholder[Int](39)).R6[Coll[Long]].get(placeholder[Int](40)))\n val coll23 = placeholder[Coll[Byte]](41)\n val coll24 = OUTPUTS.filter({(box24: Box) => box24.propositionBytes == coll23 })\n val coll25 = OUTPUTS.filter({(box25: Box) => blake2b256(box25.propositionBytes) == placeholder[Coll[Byte]](42) })\n val l26 = SELF.value\n val l27 = if (placeholder[Boolean](43)) { if (bool2) { l26 - OUTPUTS(placeholder[Int](44)).value } else { l26 } } else {\n func20(SELF) - if (bool2) { func20(OUTPUTS(placeholder[Int](45))) } else { placeholder[Long](46) }\n }\n val bool28 = bool9 || (l17 == OUTPUTS(placeholder[Int](47)).tokens(placeholder[Int](48))._2)\n val l29 = l27 * placeholder[Int](49).toLong / placeholder[Long](50)\n val l30 = l27 - l29\n val bool31 = l21 >= l6\n val bool32 = bool9 || \n val box32 = OUTPUTS(placeholder[Int](51))\n (l26 == box32.value) && if (placeholder[Boolean](52)) { placeholder[Boolean](53) } else { func20(SELF) == func20(box32) }\n \n val coll33 = coll3.filter({(tuple33: (Coll[Byte], Long)) => tuple33._1 == coll15 })\n val l34 = if (bool2) {(\n val coll34 = OUTPUTS(placeholder[Int](54)).tokens.filter({(tuple34: (Coll[Byte], Long)) => tuple34._1 == coll15 })\n if (coll34.size > placeholder[Int](55)) { coll34(placeholder[Int](56))._2 } else { placeholder[Long](57) }\n )} else { placeholder[Long](58) } - if (coll33.size > placeholder[Int](59)) { coll33(placeholder[Int](60))._2 } else { placeholder[Long](61) }\n val l35 = !l34\n val prop36 = sigmaProp(INPUTS.exists({(box36: Box) => box36.propositionBytes == coll23 })) || if (if (placeholder[Boolean](62)) {\n coll23.slice(placeholder[Int](63), placeholder[Int](64)) == placeholder[Coll[Byte]](65)\n } else { placeholder[Boolean](66) }) { proveDlog(decodePoint(coll23.slice(placeholder[Int](67), placeholder[Int](68)))) } else {\n sigmaProp(placeholder[Boolean](69))\n }\n if (bool8) {(\n val box37 = OUTPUTS(placeholder[Int](70))\n val l38 = l17 - box37.tokens(placeholder[Int](71))._2\n val l39 = box37.R6[Coll[Long]].get(placeholder[Int](72)) - l21\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool8, bool12, bool14, bool16)), l38 <= func18(SELF), func20(box37) - func20(SELF) == l38 * l7, allOf(\n Coll[Boolean](l38 == l39, l39 > placeholder[Long](73))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](74)) } || if (bool8) {(\n val box37 = OUTPUTS(placeholder[Int](75))\n val l38 = box37.tokens(placeholder[Int](76))._2 - l17\n val l39 = box37.R6[Coll[Long]].get(placeholder[Int](77)) - l11\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool8, bool22, bool14, bool16)), (HEIGHT > i5) && (l21 < l6), allOf(\n Coll[Boolean](l38 == l39, l39 > placeholder[Long](78))\n ), func20(SELF) - func20(box37) == l38 * l7\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](79)) } || if ((coll24.size > placeholder[Int](80)) && (coll25.size > placeholder[Int](81))) {(\n val box37 = coll25(placeholder[Int](82))\n val box38 = coll24(placeholder[Int](83))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n bool8 || (\n if (placeholder[Boolean](84)) { l27 == l26 } else { l27 == func20(SELF) } && (\n !coll3.exists({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll15 })\n )\n ), bool22, bool12, bool14, bool28, bool16\n )\n ), bool31, if (placeholder[Boolean](85)) { box37.value == l29 } else {(\n val coll39 = box37.tokens.filter({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll19 })\n if (coll39.size > placeholder[Int](86)) { coll39(placeholder[Int](87))._2 } else { placeholder[Long](88) } == l29\n )}, if (placeholder[Boolean](89)) { box38.value == l30 } else {(\n val coll39 = box38.tokens.filter({(tuple39: (Coll[Byte], Long)) => tuple39._1 == coll19 })\n if (coll39.size > placeholder[Int](90)) { coll39(placeholder[Int](91))._2 } else { placeholder[Long](92) } == l30\n )}\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](93)) } || sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](bool8 || (!OUTPUTS.exists({(box37: Box) => box37.propositionBytes == coll1 })), bool22, bool12, bool14, bool32, bool28)\n ), l34 < placeholder[Long](94), l35 <= func18(SELF)\n )\n )\n ) && prop36 || if (bool2) {\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](bool8, bool22, bool12, bool14, bool32, bool28)), l34 > placeholder[Long](95)))) && prop36\n } else { sigmaProp(placeholder[Boolean](96)) } || if (bool2) {(\n val box37 = OUTPUTS(placeholder[Int](97))\n val l38 = box37.tokens(placeholder[Int](98))._2 - l17\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool8, bool22, bool12, bool32)), bool31, l38 == box37.R6[Coll[Long]].get(placeholder[Int](99)) - l13, allOf(\n Coll[Boolean](l38 == l35, l38 > placeholder[Long](100))\n )\n )\n )\n )\n )} else { sigmaProp(placeholder[Boolean](101)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "e91df6b52ba1969b9bc6135ce8394cd3a64e8dfb228c578434c0895d69ffe8a2",
"index": 0,
"amount": 1000000000002,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "31ac0f72b036502a17e27ff3bc9eb1b3ae4eef9aa4a3c3bd818475d6326cbd9f",
"index": 1,
"amount": 200,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
},
"R6": {
"serializedValue": "1103000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0]"
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