Transaction
ID: aa53d297aa...ea6c
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.88 ERG
Tokens:
Loading assets...
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.87 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 153,498
Total coins transferred: 1.88 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000374 ERG
Raw Transaction Data
{
"id": "aa53d297aa349beaf65bba2a821cd285ff126e14c8a64d545c3d0ed128e4ea6c",
"blockId": "6be0a558a53000622e05e0ff8375102cb793ac094754052e49d4dcf9f4b8d2be",
"inclusionHeight": 1624219,
"timestamp": 1759272777532,
"index": 15,
"globalIndex": 9548107,
"numConfirmations": 153498,
"inputs": [
{
"boxId": "73d5932f8c4b32562a50f4ec69403f7e75b2f4b0a8efe91cfb936807c829da85",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "51f87208d404bbaa4ee90c5076d1036ad47749b1fd2b12370cdc7acd55b71e41",
"outputTransactionId": "de654d06df652874f3fbe8a5088a4bcb31e70c923bc5fe7ae93f186d9626813f",
"outputIndex": 0,
"outputGlobalIndex": 50555738,
"outputCreatedAt": 1624216,
"outputSettledAt": 1624217,
"ergoTree": "19f90a45040204000400040004020402010104040402040204040404050004020500040205000402040004020404040004000e20a9fadd0ac3aeb9ed6fe650fa675d4063e5600447328e98adb90d04f9a6741215040204000400040204fe010406040408cd037997278992e996c5af9c4085e339b4224749113d748d39f3fd5295c68aae3fbb050005000402010104020e20028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a040405000500040601000400040001000400040201000404040205c801040004000400040204fe0104060404010001000e2012f44e2cc16cedc1c94f91beca32d61a07e3c8118577041dd59afc6b1604a33705c0a38601050004020100040205000500d832d601db6308a7d602b17201d6039372027300d604b27201730100d6058c720401d606b2a5730200d607db63087206d608b27207730300d609e4c6a70404d60ae4c6a70505d60be4c6a70705d60c93c2a7c27206d60db17207d60e93720d7304d60fb27207730500d610edededededededed9372058c720801937209e4c67206040493720ae4c67206050593720be4c67206070593e4c6a7080ee4c67206080e93e4c6a7090ee4c67206090e720c97830301720e938c720f018300027306ec720e93720d7307d611e4c6a70611d612b27211730800d613e4c672060611d614b27213730900d6159372127214d616b27211730a00d617b27213730b00d6189372167217d6198c720f02d61a93957203730c8cb27201730d000295720e730e7219d61b8c720402d61c8c720802d61d99721b721cd61edad9011e63d802d620db6308721ed621e4c6721e06119a9a999593b17220730f73108cb2722073110002b27221731200b27221731300b2722173140001a7d61fc17206d620c1a7d621b27213731500d622b27211731600d6239972217222d6249372227221d62599721c721bd6269972147212d627997220721fd62893721b721cd629927222720ad62a7317d62bdb6501fed62cb2a5731800d62d937220721fd62e968306017210722472157218722d7228d62fd9012f4463d802d631c28c722f02d632d08c722f0195937eb2723173190004731a9372317232d801d633b1723193b47232731bb17232b4723195917233731c731d731e7233d630731fd6319995720e7320721995720373218cb2720173220002d632f07231d1eded9572037323938cb27201732400017325ec72039372027326978306019683040196830401721072157218721a90721d721e9399721f72209c721d720b9683020193721d722391722373279683040196830401721072247218721aed91a372098f7222720a96830201937225722691722673289372279c7225720b958fb1a57329732ad806d63395720c72277220d63491b1b5722bd901346393cbc27234722a732bd635957234d801d635c6b2b5722bd901356393cbc27235722a732c00050eede6723593e472357205732dd636957235d801d636c6b2b5722bd901366393cbc27236722a732e000804ede6723693e47236732f7330d637b2a5733100d6389d9c72337e7332057333ededededededededededededec7210ed937233722072037224721572187228721a7229723472357236957236d801d639c6b2b5722bd901396393cbc27239722a733400040795e67239d802d63ac2722cd63bd0cde4723995937eb2723a73350004733693723a723bd801d63cb1723a93b4723b7337b1723bb4723a9591723c73387339733a723c733b733ced93733dcbc2723793c17237723893c1722c999972337238733e96830401722eda722f0186027230722c8f7231733f907232721e9593b1a47340734196830301722eda722f0186027230b2a473420091723173439683040196830401ec7210ed722d720372247215722d722993722599721772169683020193722572329172257344",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: Coll(-87,-6,-35,10,-61,-82,-71,-19,111,-26,80,-6,103,93,64,99,-27,96,4,71,50,-114,-104,-83,-71,13,4,-7,-90,116,18,21)\n24: 1\n25: 0\n26: 0\n27: 1\n28: 127\n29: 3\n30: 2\n31: SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))\n32: 0\n33: 0\n34: 1\n35: true\n36: 1\n37: Coll(2,-114,-61,26,-54,-54,-90,-86,-74,-51,-119,-95,108,-85,95,-112,70,-49,-22,112,18,98,-8,-55,83,42,-50,67,48,117,53,58)\n38: 2\n39: 0\n40: 0\n41: 3\n42: false\n43: 0\n44: 0\n45: false\n46: 0\n47: 1\n48: false\n49: 2\n50: 1\n51: 100\n52: 0\n53: 0\n54: 0\n55: 1\n56: 127\n57: 3\n58: 2\n59: false\n60: false\n61: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n62: 1100000\n63: 0\n64: 1\n65: false\n66: 1\n67: 0\n68: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val coll5 = tuple4._1\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.tokens\n val tuple8 = coll7(placeholder[Int](3))\n val i9 = SELF.R4[Int].get\n val l10 = SELF.R5[Long].get\n val l11 = SELF.R7[Long].get\n val bool12 = SELF.propositionBytes == box6.propositionBytes\n val i13 = coll7.size\n val bool14 = i13 == placeholder[Int](4)\n val tuple15 = coll7(placeholder[Int](5))\n val bool16 = (\n (\n (\n (\n ((((coll5 == tuple8._1) && (i9 == box6.R4[Int].get)) && (l10 == box6.R5[Long].get)) && (l11 == box6.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box6.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box6.R9[Coll[Byte]].get)\n ) && bool12\n ) && anyOf(Coll[Boolean](bool14, tuple15._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool14 || (i13 == placeholder[Int](7)))\n val coll17 = SELF.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](8))\n val coll19 = box6.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](9))\n val bool21 = l18 == l20\n val l22 = coll17(placeholder[Int](10))\n val l23 = coll19(placeholder[Int](11))\n val bool24 = l22 == l23\n val l25 = tuple15._2\n val bool26 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool14) { placeholder[Long](14) } else { l25 }\n val l27 = tuple4._2\n val l28 = tuple8._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.tokens\n val coll33 = box30.R6[Coll[Long]].get\n if (coll32.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll32(placeholder[Int](17))._2 } - coll33(placeholder[Int](18)) + coll33(\n placeholder[Int](19)\n ) + coll33(placeholder[Int](20))\n }(SELF)\n val l31 = box6.value\n val l32 = SELF.value\n val l33 = coll19(placeholder[Int](21))\n val l34 = coll17(placeholder[Int](22))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l28 - l27\n val l38 = l20 - l18\n val l39 = l32 - l31\n val bool40 = l27 == l28\n val bool41 = l34 >= l10\n val coll42 = placeholder[Coll[Byte]](23)\n val coll43 = CONTEXT.dataInputs\n val box44 = OUTPUTS(placeholder[Int](24))\n val bool45 = l32 == l31\n val bool46 = allOf(Coll[Boolean](bool16, bool36, bool21, bool24, bool45, bool40))\n val func47 = {(tuple47: (SigmaProp, Box)) =>\n val coll49 = tuple47._2.propositionBytes\n val coll50 = tuple47._1.propBytes\n if (coll49(placeholder[Int](25)).toInt == placeholder[Int](26)) { coll49 == coll50 } else {(\n val i51 = coll49.size\n coll50.slice(placeholder[Int](27), coll50.size) == coll49.slice(\n if (i51 > placeholder[Int](28)) { placeholder[Int](29) } else { placeholder[Int](30) }, i51\n )\n )}\n }\n val prop48 = placeholder[SigmaProp](31)\n val l49 = if (bool14) { placeholder[Long](32) } else { l25 } - if (bool3) { placeholder[Long](33) } else { coll1(placeholder[Int](34))._2 }\n val l50 = !l49\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](35) } else { coll1(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37) } && (bool3 || (i2 == placeholder[Int](38)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool21, bool24, bool26)), l29 <= l30, l31 - l32 == l29 * l11, allOf(\n Coll[Boolean](l29 == l35, l35 > placeholder[Long](39))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool36, bool24, bool26)), (HEIGHT > i9) && (l34 < l10), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](40))\n ), l39 == l37 * l11\n )\n ), if (OUTPUTS.size < placeholder[Int](41)) { placeholder[Boolean](42) } else {(\n val l51 = if (bool12) { l39 } else { l32 }\n val bool52 = coll43.filter({(box52: Box) => blake2b256(box52.propositionBytes) == coll42 }).size > placeholder[Int](43)\n val bool53 = if (bool52) {(\n val opt53 = coll43.filter({(box53: Box) => blake2b256(box53.propositionBytes) == coll42 })(placeholder[Int](44)).R5[Coll[Byte]]\n opt53.isDefined && (opt53.get == coll5)\n )} else { placeholder[Boolean](45) }\n val bool54 = if (bool53) {(\n val opt54 = coll43.filter({(box54: Box) => blake2b256(box54.propositionBytes) == coll42 })(placeholder[Int](46)).R8[Int]\n opt54.isDefined && (opt54.get == placeholder[Int](47))\n )} else { placeholder[Boolean](48) }\n val box55 = OUTPUTS(placeholder[Int](49))\n val l56 = l51 * placeholder[Int](50).toLong / placeholder[Long](51)\n (\n (\n (\n (((((((((bool16 || ((l51 == l32) && bool3)) && bool36) && bool21) && bool24) && bool40) && bool26) && bool41) && bool52) && bool53) && bool54\n ) && if (bool54) {(\n val opt57 = coll43.filter({(box57: Box) => blake2b256(box57.propositionBytes) == coll42 })(placeholder[Int](52)).R4[GroupElement]\n if (opt57.isDefined) {(\n val coll58 = box44.propositionBytes\n val coll59 = proveDlog(opt57.get).propBytes\n if (coll58(placeholder[Int](53)).toInt == placeholder[Int](54)) { coll58 == coll59 } else {(\n val i60 = coll58.size\n coll59.slice(placeholder[Int](55), coll59.size) == coll58.slice(\n if (i60 > placeholder[Int](56)) { placeholder[Int](57) } else { placeholder[Int](58) }, i60\n )\n )}\n )} else { placeholder[Boolean](59) }\n )} else { placeholder[Boolean](60) }\n ) && ((placeholder[Coll[Byte]](61) == blake2b256(box55.propositionBytes)) && (box55.value == l56))\n ) && (box44.value == l51 - l56 - placeholder[Long](62))\n )}, allOf(Coll[Boolean](bool46, func47((prop48, box44)), l49 < placeholder[Long](63), l50 <= l30)), if (INPUTS.size == placeholder[Int](64)) {\n placeholder[Boolean](65)\n } else { allOf(Coll[Boolean](bool46, func47((prop48, INPUTS(placeholder[Int](66)))), l49 > placeholder[Long](67))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16 || (bool45 && bool3), bool36, bool21, bool45)), bool41, l37 == l23 - l22, allOf(\n Coll[Boolean](l37 == l50, l37 > placeholder[Long](68))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "4a21313aed371c5baba4c744d376ffd45159157fb8c462b6c589f4bf64a0e334",
"index": 0,
"amount": 10000000000001,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 1,
"amount": 20,
"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": {
"serializedValue": "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",
"sigmaType": "Coll[SByte]",
"renderedValue": "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"
},
"R7": {
"serializedValue": "0580897a",
"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R9": {
"serializedValue": "0e7e7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d",
"sigmaType": "Coll[SByte]",
"renderedValue": "7b227469746c65223a225465737420626f756e7479222c226465736372697074696f6e223a22222c22696d616765223a22222c226c696e6b223a22222c226a7564676573223a5b223968504d5a444d72476137675a6e5a3348744e77614c62796d6236646463476e3257744e376e6859485667343733796f6d6770225d7d"
},
"R4": {
"serializedValue": "04e892c701",
"sigmaType": "SInt",
"renderedValue": "1631412"
}
}
},
{
"boxId": "990d2b89a9b2b17c0aeb7c4a008f29413e0fafd7071c3ac00d24c79b55b81ce9",
"value": 1878022400,
"index": 1,
"spendingProof": "0dec6f8a02e540c0bad5993ce401c28031661828dc24798649ab21e220056fffd748b8778c4ec16ab06fa3787b5b5b4756cbc3d88b47647c",
"outputBlockId": "284cc08e309b0bb645670a16cd8abbeb9a2dc686f85c5aab09147b07b0166072",
"outputTransactionId": "7d82cfeebc959597d4c8e4d5a6ad400f350698a4810d8c73a0a3d873badb602b",
"outputIndex": 2,
"outputGlobalIndex": 50555628,
"outputCreatedAt": 1624212,
"outputSettledAt": 1624213,
"ergoTree": "0008cd037997278992e996c5af9c4085e339b4224749113d748d39f3fd5295c68aae3fbb",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))}",
"address": "9hPMZDMrGa7gZnZ3HtNwaLbymb6ddcGn2WtN7nhYHVg473yomgp",
"assets": [
{
"tokenId": "30974274078845f263b4f21787e33cc99e9ec19a17ad85a5bc6da2cca91c5a2e",
"index": 0,
"amount": 50000000000,
"name": "WT_ADA",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "ef802b475c06189fdbf844153cdc1d449a5ba87cce13d11bb47b5a539f27f12b",
"index": 1,
"amount": 25000000000,
"name": "WT_ERG",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "e91cbc48016eb390f8f872aa2962772863e2e840708517d1ab85e57451f91bed",
"index": 2,
"amount": 1200,
"name": "Ergold",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 3,
"amount": 1200,
"name": "kushti",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 260000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "6ef2ebbe2f6278c26e72f64465b68a73a495643171b25034ce513f1028fd0c8c",
"transactionId": "aa53d297aa349beaf65bba2a821cd285ff126e14c8a64d545c3d0ed128e4ea6c",
"blockId": "6be0a558a53000622e05e0ff8375102cb793ac094754052e49d4dcf9f4b8d2be",
"value": 11000000,
"index": 0,
"globalIndex": 50555800,
"creationHeight": 1624217,
"settlementHeight": 1624219,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: true\n7: 2\n8: 1\n9: 1\n10: 2\n11: 2\n12: 0\n13: 1\n14: 0\n15: 1\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: Coll(-87,-6,-35,10,-61,-82,-71,-19,111,-26,80,-6,103,93,64,99,-27,96,4,71,50,-114,-104,-83,-71,13,4,-7,-90,116,18,21)\n24: 1\n25: 0\n26: 0\n27: 1\n28: 127\n29: 3\n30: 2\n31: SigmaProp(ProveDlog(ECPoint(799727,a7f755,...)))\n32: 0\n33: 0\n34: 1\n35: true\n36: 1\n37: Coll(2,-114,-61,26,-54,-54,-90,-86,-74,-51,-119,-95,108,-85,95,-112,70,-49,-22,112,18,98,-8,-55,83,42,-50,67,48,117,53,58)\n38: 2\n39: 0\n40: 0\n41: 3\n42: false\n43: 0\n44: 0\n45: false\n46: 0\n47: 1\n48: false\n49: 2\n50: 1\n51: 100\n52: 0\n53: 0\n54: 0\n55: 1\n56: 127\n57: 3\n58: 2\n59: false\n60: false\n61: Coll(18,-12,78,44,-63,108,-19,-63,-55,79,-111,-66,-54,50,-42,26,7,-29,-56,17,-123,119,4,29,-43,-102,-4,107,22,4,-93,55)\n62: 1100000\n63: 0\n64: 1\n65: false\n66: 1\n67: 0\n68: 0",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 == placeholder[Int](0)\n val tuple4 = coll1(placeholder[Int](1))\n val coll5 = tuple4._1\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.tokens\n val tuple8 = coll7(placeholder[Int](3))\n val i9 = SELF.R4[Int].get\n val l10 = SELF.R5[Long].get\n val l11 = SELF.R7[Long].get\n val bool12 = SELF.propositionBytes == box6.propositionBytes\n val i13 = coll7.size\n val bool14 = i13 == placeholder[Int](4)\n val tuple15 = coll7(placeholder[Int](5))\n val bool16 = (\n (\n (\n (\n ((((coll5 == tuple8._1) && (i9 == box6.R4[Int].get)) && (l10 == box6.R5[Long].get)) && (l11 == box6.R7[Long].get)) && (\n SELF.R8[Coll[Byte]].get == box6.R8[Coll[Byte]].get\n )\n ) && (SELF.R9[Coll[Byte]].get == box6.R9[Coll[Byte]].get)\n ) && bool12\n ) && anyOf(Coll[Boolean](bool14, tuple15._1 == Coll[Byte](), placeholder[Boolean](6)))\n ) && (bool14 || (i13 == placeholder[Int](7)))\n val coll17 = SELF.R6[Coll[Long]].get\n val l18 = coll17(placeholder[Int](8))\n val coll19 = box6.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](9))\n val bool21 = l18 == l20\n val l22 = coll17(placeholder[Int](10))\n val l23 = coll19(placeholder[Int](11))\n val bool24 = l22 == l23\n val l25 = tuple15._2\n val bool26 = if (bool3) { placeholder[Long](12) } else { coll1(placeholder[Int](13))._2 } == if (bool14) { placeholder[Long](14) } else { l25 }\n val l27 = tuple4._2\n val l28 = tuple8._2\n val l29 = l27 - l28\n val l30 = {(box30: Box) =>\n val coll32 = box30.tokens\n val coll33 = box30.R6[Coll[Long]].get\n if (coll32.size == placeholder[Int](15)) { placeholder[Long](16) } else { coll32(placeholder[Int](17))._2 } - coll33(placeholder[Int](18)) + coll33(\n placeholder[Int](19)\n ) + coll33(placeholder[Int](20))\n }(SELF)\n val l31 = box6.value\n val l32 = SELF.value\n val l33 = coll19(placeholder[Int](21))\n val l34 = coll17(placeholder[Int](22))\n val l35 = l33 - l34\n val bool36 = l34 == l33\n val l37 = l28 - l27\n val l38 = l20 - l18\n val l39 = l32 - l31\n val bool40 = l27 == l28\n val bool41 = l34 >= l10\n val coll42 = placeholder[Coll[Byte]](23)\n val coll43 = CONTEXT.dataInputs\n val box44 = OUTPUTS(placeholder[Int](24))\n val bool45 = l32 == l31\n val bool46 = allOf(Coll[Boolean](bool16, bool36, bool21, bool24, bool45, bool40))\n val func47 = {(tuple47: (SigmaProp, Box)) =>\n val coll49 = tuple47._2.propositionBytes\n val coll50 = tuple47._1.propBytes\n if (coll49(placeholder[Int](25)).toInt == placeholder[Int](26)) { coll49 == coll50 } else {(\n val i51 = coll49.size\n coll50.slice(placeholder[Int](27), coll50.size) == coll49.slice(\n if (i51 > placeholder[Int](28)) { placeholder[Int](29) } else { placeholder[Int](30) }, i51\n )\n )}\n }\n val prop48 = placeholder[SigmaProp](31)\n val l49 = if (bool14) { placeholder[Long](32) } else { l25 } - if (bool3) { placeholder[Long](33) } else { coll1(placeholder[Int](34))._2 }\n val l50 = !l49\n sigmaProp(\n (\n if (bool3) { placeholder[Boolean](35) } else { coll1(placeholder[Int](36))._1 == placeholder[Coll[Byte]](37) } && (bool3 || (i2 == placeholder[Int](38)))\n ) && anyOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool21, bool24, bool26)), l29 <= l30, l31 - l32 == l29 * l11, allOf(\n Coll[Boolean](l29 == l35, l35 > placeholder[Long](39))\n )\n )\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16, bool36, bool24, bool26)), (HEIGHT > i9) && (l34 < l10), allOf(\n Coll[Boolean](l37 == l38, l38 > placeholder[Long](40))\n ), l39 == l37 * l11\n )\n ), if (OUTPUTS.size < placeholder[Int](41)) { placeholder[Boolean](42) } else {(\n val l51 = if (bool12) { l39 } else { l32 }\n val bool52 = coll43.filter({(box52: Box) => blake2b256(box52.propositionBytes) == coll42 }).size > placeholder[Int](43)\n val bool53 = if (bool52) {(\n val opt53 = coll43.filter({(box53: Box) => blake2b256(box53.propositionBytes) == coll42 })(placeholder[Int](44)).R5[Coll[Byte]]\n opt53.isDefined && (opt53.get == coll5)\n )} else { placeholder[Boolean](45) }\n val bool54 = if (bool53) {(\n val opt54 = coll43.filter({(box54: Box) => blake2b256(box54.propositionBytes) == coll42 })(placeholder[Int](46)).R8[Int]\n opt54.isDefined && (opt54.get == placeholder[Int](47))\n )} else { placeholder[Boolean](48) }\n val box55 = OUTPUTS(placeholder[Int](49))\n val l56 = l51 * placeholder[Int](50).toLong / placeholder[Long](51)\n (\n (\n (\n (((((((((bool16 || ((l51 == l32) && bool3)) && bool36) && bool21) && bool24) && bool40) && bool26) && bool41) && bool52) && bool53) && bool54\n ) && if (bool54) {(\n val opt57 = coll43.filter({(box57: Box) => blake2b256(box57.propositionBytes) == coll42 })(placeholder[Int](52)).R4[GroupElement]\n if (opt57.isDefined) {(\n val coll58 = box44.propositionBytes\n val coll59 = proveDlog(opt57.get).propBytes\n if (coll58(placeholder[Int](53)).toInt == placeholder[Int](54)) { coll58 == coll59 } else {(\n val i60 = coll58.size\n coll59.slice(placeholder[Int](55), coll59.size) == coll58.slice(\n if (i60 > placeholder[Int](56)) { placeholder[Int](57) } else { placeholder[Int](58) }, i60\n )\n )}\n )} else { placeholder[Boolean](59) }\n )} else { placeholder[Boolean](60) }\n ) && ((placeholder[Coll[Byte]](61) == blake2b256(box55.propositionBytes)) && (box55.value == l56))\n ) && (box44.value == l51 - l56 - placeholder[Long](62))\n )}, allOf(Coll[Boolean](bool46, func47((prop48, box44)), l49 < placeholder[Long](63), l50 <= l30)), if (INPUTS.size == placeholder[Int](64)) {\n placeholder[Boolean](65)\n } else { allOf(Coll[Boolean](bool46, func47((prop48, INPUTS(placeholder[Int](66)))), l49 > placeholder[Long](67))) }, allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](bool16 || (bool45 && bool3), bool36, bool21, bool45)), bool41, l37 == l23 - l22, allOf(\n Coll[Boolean](l37 == l50, l37 > placeholder[Long](68))\n )\n )\n )\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "4a21313aed371c5baba4c744d376ffd45159157fb8c462b6c589f4bf64a0e334",
"index": 0,
"amount": 9999999999991,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "028ec31acacaa6aab6cd89a16cab5f9046cfea701262f8c9532ace433075353a",
"index": 1,
"amount": 20,
"name": "ClaimRSN.tech",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0500",
"sigmaType": "SLong",
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