Transaction
ID: f173b0d8d8...1836
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1756 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.023 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.028 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1676 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:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 88,757
Total coins transferred: 0.1996 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000258 ERG
Raw Transaction Data
{
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"timestamp": 1765623487079,
"index": 8,
"globalIndex": 9958317,
"numConfirmations": 88757,
"inputs": [
{
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"outputGlobalIndex": 52220721,
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{
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{
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],
"additionalRegisters": {}
},
{
"boxId": "de4a4971be9e3f72341fffba20708b0e966c4347fab40e240240b49cff739cea",
"value": 23000000,
"index": 1,
"spendingProof": "a901cf9790580d54d7a5bf6d1f888c955adb195d4fd153a4552e2b236b240f710909bb69dbb543657c39235daf5422d3f3bae71e6e29a8a9",
"outputBlockId": "6b0ec7e2ece854d6e3aa445247ff831f3bc1deaadcb16e54a5cd25cd7c3d051d",
"outputTransactionId": "0bcdd4bad219521a81b9e27b8b24c3104dc67fc8f448071b380acc1037dac2c8",
"outputIndex": 1,
"outputGlobalIndex": 52220873,
"outputCreatedAt": 1676665,
"outputSettledAt": 1676666,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(60,126,-57,76,-34,0,-115,-34,-76,30,-32,55,55,-104,8,30,92,53,-61,49,-15,-125,-27,21,64,54,-45,-95,-1,11,117,90)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(-97,25,75,95,8,-128,125,-112,-81,65,64,112,95,124,82,78,32,57,-114,-76,13,-36,96,-40,-19,-7,105,-121,127,31,-58,-42)\n11: 0\n12: 1\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 6\n22: 1000\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 1\n30: 2\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0\n36: 1\n37: 10000000\n38: 1\n39: 1000000\n40: 1000\n41: 1000\n42: 1000000\n43: 10000000\n44: 5\n45: 1000000\n46: 10000000\n47: 100000000\n48: 100000000\n49: 0\n50: 0\n51: 0\n52: 100000000\n53: 0\n54: 1\n55: 3\n56: 2\n57: 3\n58: 5\n59: 6\n60: 7\n61: 1000\n62: 1\n63: 1\n64: 980000\n65: 1000000\n66: CBigInt(1)\n67: 0\n68: 0\n69: 0\n70: 0\n71: -1\n72: 1\n73: 1\n74: 2000000\n75: 0\n76: 0\n77: 0\n78: true\n79: 0\n80: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val coll5 = SELF.R9[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3))\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val coll12 = SELF.R8[Coll[Byte]].get\n val l13 = SELF.R6[Long].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](6))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](7)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n val coll26 = placeholder[Coll[Byte]](13)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](15))\n val l32 = coll5(placeholder[Int](16))\n val bool33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size == placeholder[Int](17)\n val l34 = HEIGHT.toLong\n val l35 = coll5(placeholder[Int](18))\n val l36 = coll5(placeholder[Int](19))\n val l37 = l35 + l36\n val l38 = coll5(placeholder[Int](20))\n val l39 = coll5(placeholder[Int](21))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l34 < l37) {(\n val i41 = placeholder[Int](22)\n bi40 * l39.toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](23), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](24))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](25), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](26))\n if (coll2.size > placeholder[Int](27)) {(\n val func50 = func15\n val coll51 = coll16\n val func52 = func27\n val coll53 = coll28\n val box54 = coll2.getOrElse(placeholder[Int](28), SELF)\n val coll55 = box54.R4[Coll[Long]].get\n val l56 = coll55(placeholder[Int](29))\n val l57 = coll55(placeholder[Int](30))\n if (coll51.size > placeholder[Int](31)) {(\n val box58 = box17\n val l59 = box58.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box58.R8[Coll[Byte]].get\n val bool63 = (\n (\n ((((l59 >= l6) && (tuple61._1 == coll9)) && (box58.R4[Coll[Byte]].get == coll10)) && (box58.R5[GroupElement].get == ge11)) && (\n box58.R7[Coll[Byte]].get == coll1\n )\n ) && (coll12 == coll62)\n ) && (\n OUTPUTS.map({(box63: Box) => box63.id }).indexOf(box58.id, placeholder[Int](32)) == box54.R9[Coll[Int]].get(placeholder[Int](33)) - placeholder[Int](34)\n )\n val l64 = box58.R6[Long].get\n val coll65 = box58.R9[Coll[Long]].get\n val bool66 = coll65 == coll5\n if (coll53.size > placeholder[Int](35)) {(\n val bi67 = l20.toBigInt\n val box68 = box29\n val coll69 = coll30\n val tuple70 = coll69(placeholder[Int](36))\n val tuple71 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((bool63 && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](37))) && (bi67 >= bi24 - tuple70._2.toBigInt * bi21 / bi22)) && (\n coll60.slice(placeholder[Int](38), coll60.size) == coll25\n )\n ) && (l64 == l13)\n ) && bool66\n ) && (((box68.value >= placeholder[Long](39)) && (tuple71._1 == coll9)) && (tuple70._1 == coll26))\n ) && (tuple71._2 == l23 - l20)\n ) && (l56.toBigInt >= bi67 * bi22 / bi21 * l32.toBigInt / placeholder[Int](40).toBigInt)\n ) && bool33\n ) && (l34 >= l37)\n )\n )} else {(\n val bi67 = l56.toBigInt\n val i68 = placeholder[Int](41)\n val bi69 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i68.toBigInt\n val bool70 = bi67 >= bi69\n sigmaProp(\n (\n (\n (\n ((((bool63 && (l59 >= l14 - placeholder[Long](42))) && (l59 <= l14 + placeholder[Long](43))) && (coll60 == coll7)) && (l64 > l34 + l38)) && (\n l64 < l34 + l38 + placeholder[Long](44)\n )\n ) && (bi67 < bi69)\n ) && bool66\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (((bool63 && (l59 >= l14 - placeholder[Long](45))) && (l59 <= l14 + placeholder[Long](46))) && (coll60 == coll7)) && (\n l13 != placeholder[Long](47)\n )\n ) && (l64 == placeholder[Long](48))\n ) && bool70\n ) && bool66\n ) && bool33\n ) || sigmaProp(INPUTS.filter({(box71: Box) =>\n val coll73 = box71.tokens\n (coll73.size > placeholder[Int](49)) && (coll73(placeholder[Int](50))._1 == coll62)\n }).size > placeholder[Int](51)) || proveDlog(ge11) && sigmaProp(\n (\n (\n (\n (\n (\n (\n ((((bool63 && (bi67 >= bi41 * l57.toBigInt / i68.toBigInt)) && (tuple61 == tuple8)) && (l64 == placeholder[Long](52))) && bool70) && (\n (coll65(placeholder[Int](53)) == l57) && (coll65(placeholder[Int](54)) == coll55(placeholder[Int](55)))\n )\n ) && bool33\n ) && (coll65(placeholder[Int](56)) == l38)\n ) && (coll65(placeholder[Int](57)) == l6)\n ) && (coll65(placeholder[Int](58)) == l35)\n ) && (coll65(placeholder[Int](59)) == l39)\n ) && (coll65(placeholder[Int](60)) == l36)\n )\n )}\n )} else {(\n val bi58 = l56.toBigInt\n val i59 = placeholder[Int](61)\n val box60 = box42\n val coll61 = coll43\n val tuple62 = tuple44\n val tuple63 = coll61(placeholder[Int](62))\n val coll64 = SELF.id\n val bi65 = bi58 - bi41\n val bi66 = coll5(placeholder[Int](63)).toBigInt\n val bi67 = bi65 * i59.toBigInt - bi66 / i59.toBigInt\n val l68 = tuple63._2\n sigmaProp(\n (\n (\n (\n (\n (((bi58 <= bi41 * l32.toBigInt / i59.toBigInt) && (l34 >= l13)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](64))) && (\n (((box60.value >= placeholder[Long](65)) && (tuple62._1 == coll9)) && (tuple63._1 == coll26)) && (box60.id != coll64)\n )\n ) && (tuple62._2 == l23)\n ) && if (bi67 < placeholder[BigInt](66)) { l68.toBigInt >= bi58 } else {(\n val box69 = OUTPUTS.filter({(box69: Box) => box69.propositionBytes == coll10 }).getOrElse(placeholder[Int](67), SELF)\n val tuple70 = box69.tokens(placeholder[Int](68))\n (((l68.toBigInt >= bi41 + bi65 * bi66 / i59.toBigInt) && (tuple70._2.toBigInt >= bi67)) && (tuple70._1 == coll26)) && (box69.id != coll64)\n )}\n ) && (\n INPUTS.map({(box69: Box) => box69.id }).indexOf(coll64, placeholder[Int](69)) == box54.R9[Coll[Int]].get(placeholder[Int](70)) * placeholder[Int](\n 71\n ) - placeholder[Int](72)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](73))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](74)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n (coll58.size > placeholder[Int](75)) && (coll58(placeholder[Int](76))._1 == coll12)\n }).size > placeholder[Int](77)) { placeholder[Boolean](78) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](79), SELF)\n ((box56.value >= l14 - placeholder[Long](80)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "65d079d277f91b1676ed945b0a3a8ae9d09e17e3cc90fb0ed0ce48de3b4b4f99",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 4,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
"index": 2,
"amount": 1000,
"name": "RSN",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "7a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0",
"index": 3,
"amount": 2,
"name": "rsBTC",
"decimals": 8,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e20947478e6a6a9957634eed2e4ed3ba8503e9eca502e07e6ae397842a3275310ac",
"sigmaType": "Coll[SByte]",
"renderedValue": "947478e6a6a9957634eed2e4ed3ba8503e9eca502e07e6ae397842a3275310ac"
},
"R9": {
"serializedValue": "1108a2153c108087a70e00fcd5cc01641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1361,30,8,15000000,0,1676670,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "db8dad306e335325f43e28619e83de7f17a8154ddf1d3afa07a4b1b6fe69f39b",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "6b0ec7e2ece854d6e3aa445247ff831f3bc1deaadcb16e54a5cd25cd7c3d051d",
"outputTransactionId": "0bcdd4bad219521a81b9e27b8b24c3104dc67fc8f448071b380acc1037dac2c8",
"outputIndex": 3,
"outputGlobalIndex": 52220875,
"outputCreatedAt": 1676665,
"outputSettledAt": 1676666,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "2GHGXUgJzMYF4HN31PTotrY2azq2t1ueHJABDHu7qYmYHesuDwXARy5xG2FXoSL7Cqk6Cw9rsRtPHb7KTkv9w91ADPrwgz4LfevwpkPLHb5ajsMZsTxyor7PLiL8aHXj1igzrLo4J25njxxepzvaGRbNayLWir9YcHCd3JCo13BLfg7AM1kpU6rc2G45wPZw3geEGxYkQzhMr6qtKmCxuwUqbGmosYAcpSzBa2AmsUBsDTVaEkcZD5CKK95cLoWpbPAakGt1sspx5QeLyfBUguiaLnLNPMbtvVGyfTgG6tMFh7aG5EXP1wQBFBSwLCwEecQNQVQaVBkrQzhHNyUnmcehopGB54JMMfGQDvGMmLjQzLtnTcpVGVV1T3tbyHY5ifGTxcQ1KTDRWoGSr2nn1F2dHAoUbeN3YSffEvaF6kLKsaW1oYCDWzfRPsnD9AwgAiL2YyCxbQbmsF3N8DCgaUoBnRKLuUzGcdDooZH5gTV7JN68i9xjEkFAGmiFYVHSYdgxGgrDuH8rhhJMyJJn9ypU7R8wgEG5C1s3rXcCtpWypZr2XL4swMi9GkNgvLYKF47jEw9DprQLa9d1JVgUfNijbr6hQdbcmbEvcBL4QWTRfp7ifvConoNLCahLZhM6DMfmDgpMEYbxshRbUpX3pHXkLUctNbHZfyQVrcNMFUbDqPYbVhrjDyKYMYzFpLYjRo6StdSajfY86ZXQtZvCC9PsZZuhmnQrXmZd9RzJriQpFB5qweMm8McXep9Lnmf1FezNSVDwpRJve213Gz3Xm7psLCnCLWHqWcwyHGNGGwSPEZ83KrEpZyyxX9bALUN7icRTK9pNsCSPSs4qjreYgLgu6EjaoL3HazWSFKYf6k5cJuDfDpWZen198X1y7snBcG2piTBYTsKxhgbyPHpNgcE4vhgQ7Uw2so13ekYHMdcjtSkNRYyxDJCLQqzn5M34dXvtosoqGgKveGjYVa9qqW5TzQgpyVtwGCVfsXnYu4hvLjc5PX2NG9dmVaTH8yMTt7RgHeiGzRzhsEhRXynMcH1nrSRj2sW9pK9mgefmp6TPXiFSPAQgBib9zbBuCYJaW1iLvwnFU8kT9K379ek8DJkGXqfq32kRaH6WkW1NMpRSxnCSgPRcADajvv1uJZKkqBQkrHEZrg3ASKL9WM4LwpCy2VHzeEikuGmFmbqHRSUEo5uUXRCmaPzghThLNo6CVXXpGRRFCUebX2DeBkCAQ6fcVJ3Kyt6JLmpWsZieMvf3ybZgju3oBfquSYcnRFkcBgdiMV74MGi2QJzqi3bNRU24HkZztM4YHCfSNvMpmSLjJn6Q1ZCobkYNjxtLFqcy8nrrDYPAdvcKBFG9MUWRk5Ha9Bn1p9ZoMUuNtUTcKQfhWb7SdHFoi2Dc6roqraRGhWuHcgoYCXZAs6vALTHmcJGDfN7KVRM4wVi93mrHz4vrrmPEuaF29kFfhZrqW119f1pVtnjAS9siNtRtXM2u587h1g7jpgbz2ay88oQLmU4QFRueXBYRZHiLbNoz7wNYqSTkxMTAtKLd4HAscLMyeLU3unyuVC3bvBAzWozYE4Toci1eNGFJJrvoNVg2Nu1ebC8k3EpBXZWRDvriNWuNLf97PhUKPcF8mktU5qzqTPAs6E7GNqbQGpXisVQ8CWs5y5c1Aw7PUgnukMxjoERuaxvvwpV8z4aL",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
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"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1,9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec,1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f,1b694b15467c62f0cd4525e368dbdea2329c713aa200b73df4a622e950551b40,ae97c5eccd59a065cd973a8d6afb8bb79f9cc70368a7dcdf73aaeab1cedf6f6b,47a811c68e49f6bfa6629602037ee65f8d175ddbc7b64bdb65ad40599b812fd0]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
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},
"R7": {
"serializedValue": "11050800d00f0004",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4,0,1000,0,2]"
},
"R9": {
"serializedValue": "10020404",
"sigmaType": "Coll[SInt]",
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},
"R4": {
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"sigmaType": "Coll[SLong]",
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}
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},
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"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
},
{
"boxId": "af43ab76de9fc6486daea1f47bfd98bf9e94a9ec638b936024bb4194d9e32a9e",
"value": 32868549349661,
"index": 3,
"outputBlockId": "d6124bdb4014f436b20723ff09ff74a9e77259f1b551dd063e3cd8ef6ddae225",
"outputTransactionId": "257e8b796bde8a39357812afa16510512aba4a848c1d21734c1a8b90db770aa3",
"outputIndex": 0,
"ergoTree": "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",
"address": "5vSUZRZbdVbnk4sJWjg2uhL94VZWRg4iatK9VgMChufzUgdihgvhR8yWSUEJKszzV7Vmi6K8hCyKTNhUaiP8p5ko6YEU9yfHpjVuXdQ4i5p4cRCzch6ZiqWrNukYjv7Vs5jvBwqg5hcEJ8u1eerr537YLWUoxxi1M4vQxuaCihzPKMt8NDXP4WcbN6mfNxxLZeGBvsHVvVmina5THaECosCWozKJFBnscjhpr3AJsdaL8evXAvPfEjGhVMoTKXAb2ZGGRmR8g1eZshaHmgTg2imSiaoXU5eiF3HvBnDuawaCtt674ikZ3oZdekqswcVPGMwqqUKVsGY4QuFeQoGwRkMqEYTdV2UDMMsfrjrBYQYKUBFMwsQGMNBL1VoY78aotXzdeqJCBVKbQdD3ZZWvukhSe4xrz8tcF3PoxpysDLt89boMqZJtGEHTV9UBTBEac6sDyQP693qT3nKaErN8TCXrJBUmHPqKozAg9bwxTqMYkpmb9iVKLSoJxG7MjAj72SRbcqQfNCVTztSwN3cRxSrVtz4p87jNFbVtFzhPg7UqDwNFTaasySCqM",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
},
{
"boxId": "0f46e62172e188e8f305416440fff1cf0cbf74b836cf5a09935d4d279f1f8a20",
"value": 299613189312610,
"index": 4,
"outputBlockId": "d179278d879b0fd19fb8d44b87d2f41f11a96f2e126a8096c36ef42fea4be45f",
"outputTransactionId": "8af9298e57e16e30b3c8c5ad9753c9cb87094a6e4e8d1b73689acd4c820a96dc",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
},
{
"boxId": "0aaa0f2566e39ec2e8d61b57e05426d9af25f3ec6e829fd10460d376a649917a",
"value": 7397704035858,
"index": 5,
"outputBlockId": "b7ac2a871e1dcdc03471450717da901cd2b13527af643bb3760b7b40c82a05dc",
"outputTransactionId": "7528f06a076b59e13de914209941c7eed07d249cd1780515101c21361b5c6fc1",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
},
{
"boxId": "b54a19ccd3823ea287422dfe34b0fb3cae6614fdb811319653af016a6ecc39ec",
"value": 35495975158429,
"index": 6,
"outputBlockId": "5c752fa3b6ce9de85983b0898831078b5b01dc5783eb9dd2cac8ce946d1d3241",
"outputTransactionId": "58d71fcc1f412b6f7a7525f8b50ae7d233a8dd4d3dd6c8239328045eb8d7edf6",
"outputIndex": 0,
"ergoTree": "1999030f0400040204020404040405feffffffffffffffff0105feffffffffffffffff01050004d00f040004000406050005000580dac409d819d601b2a5730000d602e4c6a70404d603db63087201d604db6308a7d605b27203730100d606b27204730200d607b27203730300d608b27204730400d6099973058c720602d60a999973068c7205027209d60bc17201d60cc1a7d60d99720b720cd60e91720d7307d60f8c720802d6107e720f06d6117e720d06d612998c720702720fd6137e720c06d6147308d6157e721206d6167e720a06d6177e720906d6189c72117217d6199c72157217d1ededededededed93c27201c2a793e4c672010404720293b27203730900b27204730a00938c7205018c720601938c7207018c72080193b17203730b9593720a730c95720e929c9c721072117e7202069c7ef07212069a9c72137e7214067e9c720d7e72020506929c9c721372157e7202069c7ef0720d069a9c72107e7214067e9c72127e7202050695ed720e917212730d907216a19d721872139d72197210ed9272189c721672139272199c7216721091720b730e",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04bc0f",
"sigmaType": "SInt",
"renderedValue": "990"
}
}
}
],
"outputs": [
{
"boxId": "da83319feb7fe61f5abc1f59adc991d1c497a2c4a805c8f0a628baf4e61c7b3f",
"transactionId": "f173b0d8d80eb2af9f58ee9285d4059927a52fa47e5786a200044b51f4bf1836",
"blockId": "3fb70641a26c8cc3ca70f9100e6c95ad1305348d36224c84d26b7ab26c13f1c8",
"value": 28000000,
"index": 0,
"globalIndex": 52221624,
"creationHeight": 1676695,
"settlementHeight": 1676696,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(60,126,-57,76,-34,0,-115,-34,-76,30,-32,55,55,-104,8,30,92,53,-61,49,-15,-125,-27,21,64,54,-45,-95,-1,11,117,90)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(-97,25,75,95,8,-128,125,-112,-81,65,64,112,95,124,82,78,32,57,-114,-76,13,-36,96,-40,-19,-7,105,-121,127,31,-58,-42)\n11: 0\n12: 1\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 6\n22: 1000\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 1\n30: 2\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0\n36: 1\n37: 10000000\n38: 1\n39: 1000000\n40: 1000\n41: 1000\n42: 1000000\n43: 10000000\n44: 5\n45: 1000000\n46: 10000000\n47: 100000000\n48: 100000000\n49: 0\n50: 0\n51: 0\n52: 100000000\n53: 0\n54: 1\n55: 3\n56: 2\n57: 3\n58: 5\n59: 6\n60: 7\n61: 1000\n62: 1\n63: 1\n64: 980000\n65: 1000000\n66: CBigInt(1)\n67: 0\n68: 0\n69: 0\n70: 0\n71: -1\n72: 1\n73: 1\n74: 2000000\n75: 0\n76: 0\n77: 0\n78: true\n79: 0\n80: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val coll5 = SELF.R9[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3))\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val coll12 = SELF.R8[Coll[Byte]].get\n val l13 = SELF.R6[Long].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](6))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](7)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n val coll26 = placeholder[Coll[Byte]](13)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](15))\n val l32 = coll5(placeholder[Int](16))\n val bool33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size == placeholder[Int](17)\n val l34 = HEIGHT.toLong\n val l35 = coll5(placeholder[Int](18))\n val l36 = coll5(placeholder[Int](19))\n val l37 = l35 + l36\n val l38 = coll5(placeholder[Int](20))\n val l39 = coll5(placeholder[Int](21))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l34 < l37) {(\n val i41 = placeholder[Int](22)\n bi40 * l39.toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](23), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](24))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](25), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](26))\n if (coll2.size > placeholder[Int](27)) {(\n val func50 = func15\n val coll51 = coll16\n val func52 = func27\n val coll53 = coll28\n val box54 = coll2.getOrElse(placeholder[Int](28), SELF)\n val coll55 = box54.R4[Coll[Long]].get\n val l56 = coll55(placeholder[Int](29))\n val l57 = coll55(placeholder[Int](30))\n if (coll51.size > placeholder[Int](31)) {(\n val box58 = box17\n val l59 = box58.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box58.R8[Coll[Byte]].get\n val bool63 = (\n (\n ((((l59 >= l6) && (tuple61._1 == coll9)) && (box58.R4[Coll[Byte]].get == coll10)) && (box58.R5[GroupElement].get == ge11)) && (\n box58.R7[Coll[Byte]].get == coll1\n )\n ) && (coll12 == coll62)\n ) && (\n OUTPUTS.map({(box63: Box) => box63.id }).indexOf(box58.id, placeholder[Int](32)) == box54.R9[Coll[Int]].get(placeholder[Int](33)) - placeholder[Int](34)\n )\n val l64 = box58.R6[Long].get\n val coll65 = box58.R9[Coll[Long]].get\n val bool66 = coll65 == coll5\n if (coll53.size > placeholder[Int](35)) {(\n val bi67 = l20.toBigInt\n val box68 = box29\n val coll69 = coll30\n val tuple70 = coll69(placeholder[Int](36))\n val tuple71 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((bool63 && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](37))) && (bi67 >= bi24 - tuple70._2.toBigInt * bi21 / bi22)) && (\n coll60.slice(placeholder[Int](38), coll60.size) == coll25\n )\n ) && (l64 == l13)\n ) && bool66\n ) && (((box68.value >= placeholder[Long](39)) && (tuple71._1 == coll9)) && (tuple70._1 == coll26))\n ) && (tuple71._2 == l23 - l20)\n ) && (l56.toBigInt >= bi67 * bi22 / bi21 * l32.toBigInt / placeholder[Int](40).toBigInt)\n ) && bool33\n ) && (l34 >= l37)\n )\n )} else {(\n val bi67 = l56.toBigInt\n val i68 = placeholder[Int](41)\n val bi69 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i68.toBigInt\n val bool70 = bi67 >= bi69\n sigmaProp(\n (\n (\n (\n ((((bool63 && (l59 >= l14 - placeholder[Long](42))) && (l59 <= l14 + placeholder[Long](43))) && (coll60 == coll7)) && (l64 > l34 + l38)) && (\n l64 < l34 + l38 + placeholder[Long](44)\n )\n ) && (bi67 < bi69)\n ) && bool66\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (((bool63 && (l59 >= l14 - placeholder[Long](45))) && (l59 <= l14 + placeholder[Long](46))) && (coll60 == coll7)) && (\n l13 != placeholder[Long](47)\n )\n ) && (l64 == placeholder[Long](48))\n ) && bool70\n ) && bool66\n ) && bool33\n ) || sigmaProp(INPUTS.filter({(box71: Box) =>\n val coll73 = box71.tokens\n (coll73.size > placeholder[Int](49)) && (coll73(placeholder[Int](50))._1 == coll62)\n }).size > placeholder[Int](51)) || proveDlog(ge11) && sigmaProp(\n (\n (\n (\n (\n (\n (\n ((((bool63 && (bi67 >= bi41 * l57.toBigInt / i68.toBigInt)) && (tuple61 == tuple8)) && (l64 == placeholder[Long](52))) && bool70) && (\n (coll65(placeholder[Int](53)) == l57) && (coll65(placeholder[Int](54)) == coll55(placeholder[Int](55)))\n )\n ) && bool33\n ) && (coll65(placeholder[Int](56)) == l38)\n ) && (coll65(placeholder[Int](57)) == l6)\n ) && (coll65(placeholder[Int](58)) == l35)\n ) && (coll65(placeholder[Int](59)) == l39)\n ) && (coll65(placeholder[Int](60)) == l36)\n )\n )}\n )} else {(\n val bi58 = l56.toBigInt\n val i59 = placeholder[Int](61)\n val box60 = box42\n val coll61 = coll43\n val tuple62 = tuple44\n val tuple63 = coll61(placeholder[Int](62))\n val coll64 = SELF.id\n val bi65 = bi58 - bi41\n val bi66 = coll5(placeholder[Int](63)).toBigInt\n val bi67 = bi65 * i59.toBigInt - bi66 / i59.toBigInt\n val l68 = tuple63._2\n sigmaProp(\n (\n (\n (\n (\n (((bi58 <= bi41 * l32.toBigInt / i59.toBigInt) && (l34 >= l13)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](64))) && (\n (((box60.value >= placeholder[Long](65)) && (tuple62._1 == coll9)) && (tuple63._1 == coll26)) && (box60.id != coll64)\n )\n ) && (tuple62._2 == l23)\n ) && if (bi67 < placeholder[BigInt](66)) { l68.toBigInt >= bi58 } else {(\n val box69 = OUTPUTS.filter({(box69: Box) => box69.propositionBytes == coll10 }).getOrElse(placeholder[Int](67), SELF)\n val tuple70 = box69.tokens(placeholder[Int](68))\n (((l68.toBigInt >= bi41 + bi65 * bi66 / i59.toBigInt) && (tuple70._2.toBigInt >= bi67)) && (tuple70._1 == coll26)) && (box69.id != coll64)\n )}\n ) && (\n INPUTS.map({(box69: Box) => box69.id }).indexOf(coll64, placeholder[Int](69)) == box54.R9[Coll[Int]].get(placeholder[Int](70)) * placeholder[Int](\n 71\n ) - placeholder[Int](72)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](73))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](74)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n (coll58.size > placeholder[Int](75)) && (coll58(placeholder[Int](76))._1 == coll12)\n }).size > placeholder[Int](77)) { placeholder[Boolean](78) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](79), SELF)\n ((box56.value >= l14 - placeholder[Long](80)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "65d079d277f91b1676ed945b0a3a8ae9d09e17e3cc90fb0ed0ce48de3b4b4f99",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 1,
"amount": 199,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e20947478e6a6a9957634eed2e4ed3ba8503e9eca502e07e6ae397842a3275310ac",
"sigmaType": "Coll[SByte]",
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],
"additionalRegisters": {},
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},
{
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"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "947478e6a6a9957634eed2e4ed3ba8503e9eca502e07e6ae397842a3275310ac",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1,9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec,1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f,1b694b15467c62f0cd4525e368dbdea2329c713aa200b73df4a622e950551b40,ae97c5eccd59a065cd973a8d6afb8bb79f9cc70368a7dcdf73aaeab1cedf6f6b,47a811c68e49f6bfa6629602037ee65f8d175ddbc7b64bdb65ad40599b812fd0]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1400,1250,1400,1400,1400,1300]"
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"R8": {
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"renderedValue": "[03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04,003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0,8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b,e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297,7a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0]"
},
"R7": {
"serializedValue": "1105008e03000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,199,0,0,0]"
},
"R9": {
"serializedValue": "10020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1]"
},
"R4": {
"serializedValue": "110a80a0b787e905ecab8706ae173c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,6351606,1495,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "19329cacd3dff3e09b208d7ca817c65570948c76c49be2ed78c81b7575ef9ae1",
"mainChain": true
},
{
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}