Transaction
ID: f3d3612a29...063c
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.569 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.566 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 72,722
Total coins transferred: 0.774 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000039 ERG
Raw Transaction Data
{
"id": "f3d3612a29c20a3b8ffb5026e9b5f530083ffe6db7256b63b303588c4c44063c",
"blockId": "fe269b38728ac4cbfb85c4f09fb2494136a461082d044abeca8b487d483ccd7c",
"inclusionHeight": 1696317,
"timestamp": 1767997365355,
"index": 3,
"globalIndex": 10118940,
"numConfirmations": 72722,
"inputs": [
{
"boxId": "0ea497ee55dd9e98f28dc59cf5cfbe2e756a50a98f01fe0db18199edb2ce89b6",
"value": 1000000,
"index": 0,
"spendingProof": "b6ae94a5a6e3345448e696045c1ff82f888e9db5532ea6f8d72e79cb432647a9c5bbb968bfd2cdd015cce9cdb1a70c371f13e2616f169769",
"outputBlockId": "9c63a6db09823b7d908cf25c3c234d2b58dc41fd4146ea09bde045b20696fc6f",
"outputTransactionId": "32286b73d3afdc6b9699b45ed976b009ea163dea76e8b1bc71991d2597ea8808",
"outputIndex": 3,
"outputGlobalIndex": 52855267,
"outputCreatedAt": 1695738,
"outputSettledAt": 1695739,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "c45fef095e68e5766a655e70822b8822cf5c0b849039330640be7748e8322b55",
"value": 569000000,
"index": 1,
"spendingProof": "ed92e7af7894c418c15a48d1694cca34d185cfebb4ec090851bf9fea6a0cca71b5b1e03278ecaa6d64e3df5f51203df802394db2e29f9abe",
"outputBlockId": "bf475f56d1a5c9f29e7fa81a18f56189d255977df223886e5e29d5dfbfde0f23",
"outputTransactionId": "6fec1525b7ce7dbd6c39e085dfa5799877dbd82c4249a56fc1dffd544285543e",
"outputIndex": 1,
"outputGlobalIndex": 52855324,
"outputCreatedAt": 1695739,
"outputSettledAt": 1695742,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "1ce27e5f3863a806c08a0a5532db3cea34dee9adef62fbbcf0fb17bd39a47465",
"value": 203000000,
"index": 2,
"spendingProof": "a8081913dd52ae624bfeb2d78908f9217b4d104fc43f01a1af2d2fe9fbc139abed892f9e27dd7e1f53e6cd64a52908ea292d9498ff41f66e",
"outputBlockId": "00c7940abb8b73aa09988db5068dea18f668a30a6cb9e3c2d8d8a901a509c21b",
"outputTransactionId": "18ce9a81c229b353d0ea8691fc51effc300fa13ae7ef50e1996e7069847d1bf5",
"outputIndex": 1,
"outputGlobalIndex": 52868177,
"outputCreatedAt": 1696302,
"outputSettledAt": 1696306,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-44,17,44,8,36,-116,93,38,49,-20,-62,74,-14,-64,-45,76,-120,-101,-44,10,26,-70,-85,103,-94,33,-85,-13,-73,-91,36,-19)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\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: 0\n22: 32\n23: 32\n24: 40\n25: 6\n26: 1000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 2\n35: 0\n36: 0\n37: 0\n38: 1\n39: 0\n40: 1\n41: 10000000\n42: 1\n43: 1000000\n44: 1000\n45: 1000\n46: 0\n47: 0\n48: 0\n49: 1000000\n50: 10000000\n51: 5\n52: 1000000\n53: 10000000\n54: 100000000\n55: 100000000\n56: 100000000\n57: 0\n58: 1\n59: 3\n60: 2\n61: 3\n62: 5\n63: 6\n64: 7\n65: 1000\n66: 1\n67: 1\n68: 980000\n69: 1000000\n70: CBigInt(1)\n71: 0\n72: 0\n73: 0\n74: 0\n75: -1\n76: 1\n77: 1\n78: 2000000\n79: 0\n80: 0\n81: 0\n82: true\n83: 0\n84: 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 l12 = SELF.R6[Long].get\n val coll13 = SELF.R8[Coll[Byte]].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 coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val coll40 = coll13.slice(placeholder[Int](23), placeholder[Int](24))\n val l41 = coll5(placeholder[Int](25))\n val bi42 = bi24 * bi22 / bi21\n val bi43 = if (l34 < l37) {(\n val i43 = placeholder[Int](26)\n bi42 * l41.toBigInt + i43.toBigInt / i43.toBigInt\n )} else { bi42 }\n val box44 = coll28.getOrElse(placeholder[Int](27), SELF)\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](28))\n val func47 = {(box47: Box) =>\n val coll49 = box47.propositionBytes\n val coll50 = blake2b256(coll49)\n val bool51 = coll50 == coll4\n bool51\n }\n val coll48 = OUTPUTS.filter(func47)\n val box49 = coll48.getOrElse(placeholder[Int](29), SELF)\n val coll50 = box49.tokens\n val tuple51 = coll50(placeholder[Int](30))\n if (coll2.size > placeholder[Int](31)) {(\n val func52 = func15\n val coll53 = coll16\n val func54 = func27\n val coll55 = coll28\n val box56 = coll2.getOrElse(placeholder[Int](32), SELF)\n val coll57 = box56.R4[Coll[Long]].get\n val l58 = coll57(placeholder[Int](33))\n val l59 = coll57(placeholder[Int](34))\n if (coll53.size > placeholder[Int](35)) {(\n val box60 = box17\n val bool61 = OUTPUTS.map({(box61: Box) => box61.id }).indexOf(box60.id, placeholder[Int](36)) == box56.R9[Coll[Int]].get(\n placeholder[Int](37)\n ) - placeholder[Int](38)\n val l62 = box60.value\n val coll63 = coll18\n val tuple64 = tuple19\n val coll65 = box60.R4[Coll[Byte]].get\n val ge66 = box60.R5[GroupElement].get\n val coll67 = box60.R7[Coll[Byte]].get\n val bool68 = ((((l62 >= l6) && (tuple64._1 == coll9)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)\n val coll69 = box60.R8[Coll[Byte]].get\n val l70 = box60.R6[Long].get\n val coll71 = box60.R9[Coll[Long]].get\n val bool72 = coll71 == coll5\n if (coll55.size > placeholder[Int](39)) {(\n val bi73 = l20.toBigInt\n val box74 = box29\n val coll75 = coll30\n val tuple76 = coll75(placeholder[Int](40))\n val tuple77 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14)) && (l62 <= l14 + placeholder[Long](41))) && (\n bi73 >= bi24 - tuple76._2.toBigInt * bi21 / bi22\n )\n ) && (coll63.slice(placeholder[Int](42), coll63.size) == coll25)\n ) && (l70 == l12)\n ) && bool72\n ) && (((box74.value >= placeholder[Long](43)) && (tuple77._1 == coll9)) && (tuple76._1 == coll26))\n ) && (tuple77._2 == l23 - l20)\n ) && (l58.toBigInt >= bi73 * bi22 / bi21 * l32.toBigInt / placeholder[Int](44).toBigInt)\n ) && bool33\n ) && (l34 >= l37)\n )\n )} else {(\n val bi73 = l58.toBigInt\n val i74 = placeholder[Int](45)\n val bi75 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i74.toBigInt\n val bool76 = bi73 >= bi75\n val prop77 = sigmaProp(INPUTS.filter({(box77: Box) =>\n val coll79 = box77.tokens\n ((coll79.size > placeholder[Int](46)) && (coll79(placeholder[Int](47))._1 == coll39)) && (box77.R9[Coll[Byte]].get == coll40)\n }).size > placeholder[Int](48)) || proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](49))) && (l62 <= l14 + placeholder[Long](50))) && (\n coll63 == coll7\n )\n ) && (l70 > l34 + l38)\n ) && (l70 < l34 + l38 + placeholder[Long](51))\n ) && (bi73 < bi75)\n ) && bool72\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](52))) && (l62 <= l14 + placeholder[Long](53))) && (\n coll63 == coll7\n )\n ) && (l12 != placeholder[Long](54))\n ) && (l70 == placeholder[Long](55))\n ) && bool76\n ) && bool72\n ) && bool33\n ) || prop77 && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (bi73 >= bi43 * l59.toBigInt / i74.toBigInt)) && (tuple64 == tuple8)) && (\n l70 == placeholder[Long](56)\n )\n ) && bool76\n ) && ((coll71(placeholder[Int](57)) == l59) && (coll71(placeholder[Int](58)) == coll57(placeholder[Int](59))))\n ) && bool33\n ) && (coll71(placeholder[Int](60)) == l38)\n ) && (coll71(placeholder[Int](61)) == l6)\n ) && (coll71(placeholder[Int](62)) == l35)\n ) && (coll71(placeholder[Int](63)) == l41)\n ) && (coll71(placeholder[Int](64)) == l36)\n ) || prop77 && sigmaProp((((((bool68 && (l62 == l14)) && (coll63 == coll7)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)) && bool72)\n )}\n )} else {(\n val bi60 = l58.toBigInt\n val i61 = placeholder[Int](65)\n val box62 = box44\n val coll63 = coll45\n val tuple64 = tuple46\n val tuple65 = coll63(placeholder[Int](66))\n val coll66 = SELF.id\n val bi67 = bi60 - bi43\n val bi68 = coll5(placeholder[Int](67)).toBigInt\n val bi69 = bi67 * i61.toBigInt - bi68 / i61.toBigInt\n val l70 = tuple65._2\n sigmaProp(\n (\n (\n (\n (\n (((bi60 <= bi43 * l32.toBigInt / i61.toBigInt) && (l34 >= l12)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](68))) && (\n (((box62.value >= placeholder[Long](69)) && (tuple64._1 == coll9)) && (tuple65._1 == coll26)) && (box62.id != coll66)\n )\n ) && (tuple64._2 == l23)\n ) && if (bi69 < placeholder[BigInt](70)) { l70.toBigInt >= bi60 } else {(\n val box71 = OUTPUTS.filter({(box71: Box) => box71.propositionBytes == coll10 }).getOrElse(placeholder[Int](71), SELF)\n val tuple72 = box71.tokens(placeholder[Int](72))\n (((l70.toBigInt >= bi43 + bi67 * bi68 / i61.toBigInt) && (tuple72._2.toBigInt >= bi69)) && (tuple72._1 == coll26)) && (box71.id != coll66)\n )}\n ) && (\n INPUTS.map({(box71: Box) => box71.id }).indexOf(coll66, placeholder[Int](73)) == box56.R9[Coll[Int]].get(placeholder[Int](74)) * placeholder[Int](\n 75\n ) - placeholder[Int](76)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func52 = func47\n val coll53 = coll48\n val box54 = box49\n val coll55 = coll50\n val tuple56 = tuple51\n val tuple57 = coll55(placeholder[Int](77))\n sigmaProp(\n (\n (\n (((((box54.value >= placeholder[Long](78)) && (tuple56._1 == coll9)) && (tuple57._1 == coll26)) && (box54.id != SELF.id)) && (tuple56._2 == l23)) && (\n tuple57._2.toBigInt > bi43\n )\n ) && if (INPUTS.filter({(box58: Box) =>\n val coll60 = box58.tokens\n ((coll60.size > placeholder[Int](79)) && (coll60(placeholder[Int](80))._1 == coll39)) && (box58.R9[Coll[Byte]].get == coll40)\n }).size > placeholder[Int](81)) { placeholder[Boolean](82) } else {(\n val box58 = OUTPUTS.filter({(box58: Box) => box58.propositionBytes == coll10 }).getOrElse(placeholder[Int](83), SELF)\n ((box58.value >= l14 - placeholder[Long](84)) && (box58.tokens == coll25)) && (box58.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e28f8f31d14d7798500407ef7dfd370c00c66b957e29cea1869144b207baefdaa0d019ba4c30f7441f2",
"sigmaType": "Coll[SByte]",
"renderedValue": "f8f31d14d7798500407ef7dfd370c00c66b957e29cea1869144b207baefdaa0d019ba4c30f7441f2"
},
"R7": {
"serializedValue": "0e208380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
"sigmaType": "Coll[SByte]",
"renderedValue": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08"
},
"R9": {
"serializedValue": "1108b6163c108087a70e00e084cf01641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1435,30,8,15000000,0,1696048,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "8204b2c5f1b605f5425a67c5787c6b8b65397af6fb1a68dec2dc3f7881753367",
"value": 1000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "00c7940abb8b73aa09988db5068dea18f668a30a6cb9e3c2d8d8a901a509c21b",
"outputTransactionId": "18ce9a81c229b353d0ea8691fc51effc300fa13ae7ef50e1996e7069847d1bf5",
"outputIndex": 4,
"outputGlobalIndex": 52868180,
"outputCreatedAt": 1696302,
"outputSettledAt": 1696306,
"ergoTree": "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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": "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",
"assets": [
{
"tokenId": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020402",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,1]"
},
"R4": {
"serializedValue": "110a80a0b787e9059681f00bb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12451915,1435,30,15000000,8,0,50,15,20000000]"
}
}
}
],
"dataInputs": [
{
"boxId": "8fb367fb070cd857568326b07b35b74788e0c5a03f45faad1d6f548a930dbbfd",
"value": 1000000,
"index": 0,
"outputBlockId": "5b1371b78e9b10928f03f80e5aca6894fadd8c72fe43177255089c1021916d50",
"outputTransactionId": "e92eba0251fa471d7ad77785ae9326482a2960cee85bc26b315ade1f94de5621",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05daaace01",
"sigmaType": "SLong",
"renderedValue": "1690285"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "3c7dbc826a08a0eaa6ea0bdaf7346d014f20155b82b11d5bf6f9514e514ad3c0",
"value": 18197416862359,
"index": 1,
"outputBlockId": "c6c45f275b1931579787b51a6b557770cf4ded483ee2af8d4035a6d326422f83",
"outputTransactionId": "5822567048e19a0399cd6eec35091929750bbf641a7a6e48dddc56d7ae3d0d6c",
"outputIndex": 0,
"ergoTree": "1999030f0400040204020404040405feffffffffffffffff0105feffffffffffffffff01050004d00f040004000406050005000580dac409d819d601b2a5730000d602e4c6a70404d603db63087201d604db6308a7d605b27203730100d606b27204730200d607b27203730300d608b27204730400d6099973058c720602d60a999973068c7205027209d60bc17201d60cc1a7d60d99720b720cd60e91720d7307d60f8c720802d6107e720f06d6117e720d06d612998c720702720fd6137e720c06d6147308d6157e721206d6167e720a06d6177e720906d6189c72117217d6199c72157217d1ededededededed93c27201c2a793e4c672010404720293b27203730900b27204730a00938c7205018c720601938c7207018c72080193b17203730b9593720a730c95720e929c9c721072117e7202069c7ef07212069a9c72137e7214067e9c720d7e72020506929c9c721372157e7202069c7ef0720d069a9c72107e7214067e9c72127e7202050695ed720e917212730d907216a19d721872139d72197210ed9272189c721672139272199c7216721091720b730e",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "61d9a4c0eb63a12847b3fd77528d2253db470d356f44cc77cce3d081bab0547d",
"transactionId": "f3d3612a29c20a3b8ffb5026e9b5f530083ffe6db7256b63b303588c4c44063c",
"blockId": "fe269b38728ac4cbfb85c4f09fb2494136a461082d044abeca8b487d483ccd7c",
"value": 1000000,
"index": 0,
"globalIndex": 52868584,
"creationHeight": 1696316,
"settlementHeight": 1696317,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: Coll(68,37,63,-13,94,-62,-16,-85,-104,101,-118,54,2,105,51,-94,6,-76,56,78,89,-10,10,96,-77,-72,-93,-18,-13,126,-111,53)\n5: 1100000\n6: 0\n7: 0\n8: 0\n9: 0\n10: 1\n11: 1\n12: 1000\n13: 1000\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\n19: 0\n20: CBigInt(10000000000000000)\n21: Coll(-44,17,44,8,36,-116,93,38,49,-20,-62,74,-14,-64,-45,76,-120,-101,-44,10,26,-70,-85,103,-94,33,-85,-13,-73,-91,36,-19)\n22: 0\n23: 0\n24: 0\n25: 0\n26: false\n27: 0\n28: 0\n29: 1\n30: 1100000\n31: true\n32: true\n33: false\n34: false",
"ergoTreeScript": "{\n val ge1 = SELF.R5[GroupElement].get\n val coll2 = SELF.tokens\n val box3 = OUTPUTS.filter({(box3: Box) =>\n val coll5 = box3.tokens\n (coll5.size > placeholder[Int](0)) && (coll5(placeholder[Int](1)) == coll2(placeholder[Int](2)))\n }).getOrElse(placeholder[Int](3), SELF)\n val coll4 = SELF.R4[Coll[Byte]].get\n val coll5 = SELF.R6[Coll[Long]].get\n val coll6 = SELF.R7[Coll[Byte]].get\n val coll7 = INPUTS.filter({(box7: Box) => blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](4) })\n proveDlog(ge1) || sigmaProp(\n (\n (((box3.propositionBytes == SELF.propositionBytes) && (box3.value >= SELF.value - placeholder[Long](5))) && (box3.tokens == coll2)) && (\n (\n (((box3.R4[Coll[Byte]].get == coll4) && (box3.R5[GroupElement].get == ge1)) && (box3.R6[Coll[Long]].get == coll5)) && (\n box3.R7[Coll[Byte]].get == coll6\n )\n ) && (box3.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n )\n ) && (box3.id != SELF.id)\n ) && sigmaProp(if (coll7.size > placeholder[Int](6)) {(\n val bi8 = OUTPUTS.filter({(box8: Box) =>\n val coll10 = box8.tokens\n (coll10.size > placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll6)\n })(placeholder[Int](9)).R4[Coll[Long]].get(placeholder[Int](10)).toBigInt\n val bi9 = bi8 - bi8 * coll5(placeholder[Int](11)).toBigInt / placeholder[Int](12).toBigInt\n val l10 = placeholder[Long](13)\n val box11 = coll7(placeholder[Int](14))\n val coll12 = box11.tokens\n val tuple13 = coll12(placeholder[Int](15))\n val l14 = tuple13._2\n val bi15 = l14.toBigInt * CONTEXT.dataInputs.filter({(box15: Box) =>\n val coll17 = box15.tokens\n (coll17.size > placeholder[Int](16)) && (coll17(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))\n })(placeholder[Int](19)).R5[BigInt].get / placeholder[BigInt](20)\n val coll16 = OUTPUTS.filter({(box16: Box) => blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](21) })\n val coll17 = OUTPUTS.filter({(box17: Box) => box17.propositionBytes == coll4 })\n ((bi9 * l10.toBigInt / bi15 < coll5(placeholder[Int](22)).toBigInt) && if (coll16.size > placeholder[Int](23)) {(\n val tuple18 = coll16(placeholder[Int](24)).tokens(placeholder[Int](25))\n (tuple18._1 == tuple13._1) && (tuple18._2 == l14)\n )} else { placeholder[Boolean](26) }) && if ((coll17.size > placeholder[Int](27)) && (bi9 > bi15)) {(\n val box18 = coll17(placeholder[Int](28))\n val coll19 = box18.tokens\n val coll20 = coll12.slice(placeholder[Int](29), coll12.size)\n ((box18.value.toBigInt >= box11.value.toBigInt * bi9 - bi15 * l10.toBigInt / bi9 / l10.toBigInt - placeholder[Long](30).toBigInt) && (coll19.size == coll20.size)) && coll20.zip(coll19).forall({(tuple21: ((Coll[Byte], Long), (Coll[Byte], Long))) => placeholder[Boolean](31) })\n )} else { if (bi9 <= bi15) { placeholder[Boolean](32) } else { placeholder[Boolean](33) } }\n )} else { placeholder[Boolean](34) })\n}",
"address": "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",
"assets": [
{
"tokenId": "0ea497ee55dd9e98f28dc59cf5cfbe2e756a50a98f01fe0db18199edb2ce89b6",
"index": 0,
"amount": 1000000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "1103c0b8021480aaea55",
"sigmaType": "Coll[SLong]",
"renderedValue": "[20000,10,90000000]"
},
"R8": {
"serializedValue": "0e08019ba4d9c70a5051",
"sigmaType": "Coll[SByte]",
"renderedValue": "019ba4d9c70a5051"
},
"R7": {
"serializedValue": "0e201c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601"
},
"R9": {
"serializedValue": "0e08019ba4d9c70a5051",
"sigmaType": "Coll[SByte]",
"renderedValue": "019ba4d9c70a5051"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "833d48e287ca399e9c90259d0f8a434cd0f007f3a34d66bad3a26ac5e0dbc2a0",
"mainChain": true
},
{
"boxId": "38f14b1439a00bf04ec88cf9f638d46ae29110ebaa2e7535008067413bb8f53d",
"transactionId": "f3d3612a29c20a3b8ffb5026e9b5f530083ffe6db7256b63b303588c4c44063c",
"blockId": "fe269b38728ac4cbfb85c4f09fb2494136a461082d044abeca8b487d483ccd7c",
"value": 203000000,
"index": 1,
"globalIndex": 52868585,
"creationHeight": 1696316,
"settlementHeight": 1696317,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-44,17,44,8,36,-116,93,38,49,-20,-62,74,-14,-64,-45,76,-120,-101,-44,10,26,-70,-85,103,-94,33,-85,-13,-73,-91,36,-19)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\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: 0\n22: 32\n23: 32\n24: 40\n25: 6\n26: 1000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 2\n35: 0\n36: 0\n37: 0\n38: 1\n39: 0\n40: 1\n41: 10000000\n42: 1\n43: 1000000\n44: 1000\n45: 1000\n46: 0\n47: 0\n48: 0\n49: 1000000\n50: 10000000\n51: 5\n52: 1000000\n53: 10000000\n54: 100000000\n55: 100000000\n56: 100000000\n57: 0\n58: 1\n59: 3\n60: 2\n61: 3\n62: 5\n63: 6\n64: 7\n65: 1000\n66: 1\n67: 1\n68: 980000\n69: 1000000\n70: CBigInt(1)\n71: 0\n72: 0\n73: 0\n74: 0\n75: -1\n76: 1\n77: 1\n78: 2000000\n79: 0\n80: 0\n81: 0\n82: true\n83: 0\n84: 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 l12 = SELF.R6[Long].get\n val coll13 = SELF.R8[Coll[Byte]].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 coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val coll40 = coll13.slice(placeholder[Int](23), placeholder[Int](24))\n val l41 = coll5(placeholder[Int](25))\n val bi42 = bi24 * bi22 / bi21\n val bi43 = if (l34 < l37) {(\n val i43 = placeholder[Int](26)\n bi42 * l41.toBigInt + i43.toBigInt / i43.toBigInt\n )} else { bi42 }\n val box44 = coll28.getOrElse(placeholder[Int](27), SELF)\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](28))\n val func47 = {(box47: Box) =>\n val coll49 = box47.propositionBytes\n val coll50 = blake2b256(coll49)\n val bool51 = coll50 == coll4\n bool51\n }\n val coll48 = OUTPUTS.filter(func47)\n val box49 = coll48.getOrElse(placeholder[Int](29), SELF)\n val coll50 = box49.tokens\n val tuple51 = coll50(placeholder[Int](30))\n if (coll2.size > placeholder[Int](31)) {(\n val func52 = func15\n val coll53 = coll16\n val func54 = func27\n val coll55 = coll28\n val box56 = coll2.getOrElse(placeholder[Int](32), SELF)\n val coll57 = box56.R4[Coll[Long]].get\n val l58 = coll57(placeholder[Int](33))\n val l59 = coll57(placeholder[Int](34))\n if (coll53.size > placeholder[Int](35)) {(\n val box60 = box17\n val bool61 = OUTPUTS.map({(box61: Box) => box61.id }).indexOf(box60.id, placeholder[Int](36)) == box56.R9[Coll[Int]].get(\n placeholder[Int](37)\n ) - placeholder[Int](38)\n val l62 = box60.value\n val coll63 = coll18\n val tuple64 = tuple19\n val coll65 = box60.R4[Coll[Byte]].get\n val ge66 = box60.R5[GroupElement].get\n val coll67 = box60.R7[Coll[Byte]].get\n val bool68 = ((((l62 >= l6) && (tuple64._1 == coll9)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)\n val coll69 = box60.R8[Coll[Byte]].get\n val l70 = box60.R6[Long].get\n val coll71 = box60.R9[Coll[Long]].get\n val bool72 = coll71 == coll5\n if (coll55.size > placeholder[Int](39)) {(\n val bi73 = l20.toBigInt\n val box74 = box29\n val coll75 = coll30\n val tuple76 = coll75(placeholder[Int](40))\n val tuple77 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14)) && (l62 <= l14 + placeholder[Long](41))) && (\n bi73 >= bi24 - tuple76._2.toBigInt * bi21 / bi22\n )\n ) && (coll63.slice(placeholder[Int](42), coll63.size) == coll25)\n ) && (l70 == l12)\n ) && bool72\n ) && (((box74.value >= placeholder[Long](43)) && (tuple77._1 == coll9)) && (tuple76._1 == coll26))\n ) && (tuple77._2 == l23 - l20)\n ) && (l58.toBigInt >= bi73 * bi22 / bi21 * l32.toBigInt / placeholder[Int](44).toBigInt)\n ) && bool33\n ) && (l34 >= l37)\n )\n )} else {(\n val bi73 = l58.toBigInt\n val i74 = placeholder[Int](45)\n val bi75 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i74.toBigInt\n val bool76 = bi73 >= bi75\n val prop77 = sigmaProp(INPUTS.filter({(box77: Box) =>\n val coll79 = box77.tokens\n ((coll79.size > placeholder[Int](46)) && (coll79(placeholder[Int](47))._1 == coll39)) && (box77.R9[Coll[Byte]].get == coll40)\n }).size > placeholder[Int](48)) || proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](49))) && (l62 <= l14 + placeholder[Long](50))) && (\n coll63 == coll7\n )\n ) && (l70 > l34 + l38)\n ) && (l70 < l34 + l38 + placeholder[Long](51))\n ) && (bi73 < bi75)\n ) && bool72\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](52))) && (l62 <= l14 + placeholder[Long](53))) && (\n coll63 == coll7\n )\n ) && (l12 != placeholder[Long](54))\n ) && (l70 == placeholder[Long](55))\n ) && bool76\n ) && bool72\n ) && bool33\n ) || prop77 && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool68 && bool61) && (coll13 == coll69)) && (bi73 >= bi43 * l59.toBigInt / i74.toBigInt)) && (tuple64 == tuple8)) && (\n l70 == placeholder[Long](56)\n )\n ) && bool76\n ) && ((coll71(placeholder[Int](57)) == l59) && (coll71(placeholder[Int](58)) == coll57(placeholder[Int](59))))\n ) && bool33\n ) && (coll71(placeholder[Int](60)) == l38)\n ) && (coll71(placeholder[Int](61)) == l6)\n ) && (coll71(placeholder[Int](62)) == l35)\n ) && (coll71(placeholder[Int](63)) == l41)\n ) && (coll71(placeholder[Int](64)) == l36)\n ) || prop77 && sigmaProp((((((bool68 && (l62 == l14)) && (coll63 == coll7)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)) && bool72)\n )}\n )} else {(\n val bi60 = l58.toBigInt\n val i61 = placeholder[Int](65)\n val box62 = box44\n val coll63 = coll45\n val tuple64 = tuple46\n val tuple65 = coll63(placeholder[Int](66))\n val coll66 = SELF.id\n val bi67 = bi60 - bi43\n val bi68 = coll5(placeholder[Int](67)).toBigInt\n val bi69 = bi67 * i61.toBigInt - bi68 / i61.toBigInt\n val l70 = tuple65._2\n sigmaProp(\n (\n (\n (\n (\n (((bi60 <= bi43 * l32.toBigInt / i61.toBigInt) && (l34 >= l12)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](68))) && (\n (((box62.value >= placeholder[Long](69)) && (tuple64._1 == coll9)) && (tuple65._1 == coll26)) && (box62.id != coll66)\n )\n ) && (tuple64._2 == l23)\n ) && if (bi69 < placeholder[BigInt](70)) { l70.toBigInt >= bi60 } else {(\n val box71 = OUTPUTS.filter({(box71: Box) => box71.propositionBytes == coll10 }).getOrElse(placeholder[Int](71), SELF)\n val tuple72 = box71.tokens(placeholder[Int](72))\n (((l70.toBigInt >= bi43 + bi67 * bi68 / i61.toBigInt) && (tuple72._2.toBigInt >= bi69)) && (tuple72._1 == coll26)) && (box71.id != coll66)\n )}\n ) && (\n INPUTS.map({(box71: Box) => box71.id }).indexOf(coll66, placeholder[Int](73)) == box56.R9[Coll[Int]].get(placeholder[Int](74)) * placeholder[Int](\n 75\n ) - placeholder[Int](76)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func52 = func47\n val coll53 = coll48\n val box54 = box49\n val coll55 = coll50\n val tuple56 = tuple51\n val tuple57 = coll55(placeholder[Int](77))\n sigmaProp(\n (\n (\n (((((box54.value >= placeholder[Long](78)) && (tuple56._1 == coll9)) && (tuple57._1 == coll26)) && (box54.id != SELF.id)) && (tuple56._2 == l23)) && (\n tuple57._2.toBigInt > bi43\n )\n ) && if (INPUTS.filter({(box58: Box) =>\n val coll60 = box58.tokens\n ((coll60.size > placeholder[Int](79)) && (coll60(placeholder[Int](80))._1 == coll39)) && (box58.R9[Coll[Byte]].get == coll40)\n }).size > placeholder[Int](81)) { placeholder[Boolean](82) } else {(\n val box58 = OUTPUTS.filter({(box58: Box) => box58.propositionBytes == coll10 }).getOrElse(placeholder[Int](83), SELF)\n ((box58.value >= l14 - placeholder[Long](84)) && (box58.tokens == coll25)) && (box58.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
"address": "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",
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"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
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"sigmaType": "SGroupElement",
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"R6": {
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"R9": {
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"sigmaType": "Coll[SLong]",
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"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
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"ergoTreeConstants": "",
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"creationHeight": 1696316,
"settlementHeight": 1696317,
"ergoTree": "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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": "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",
"assets": [
{
"tokenId": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020402",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,1]"
},
"R4": {
"serializedValue": "110a80a0b787e9059681f00bb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12451915,1435,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "46dd87d83a14cc0024c81bab1334f20fdc6d2886990edbc5b32f096d5a6967e1",
"mainChain": true
},
{
"boxId": "519d20b1f3e7dd086394efdf1e79a01f081ad5b794f3a2aab34c07b92e3b46f1",
"transactionId": "f3d3612a29c20a3b8ffb5026e9b5f530083ffe6db7256b63b303588c4c44063c",
"blockId": "fe269b38728ac4cbfb85c4f09fb2494136a461082d044abeca8b487d483ccd7c",
"value": 2000000,
"index": 5,
"globalIndex": 52868589,
"creationHeight": 1696316,
"settlementHeight": 1696317,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "6fe2f5a811cfbbce87c92c5eb2ce036b2b9c2c922a36c8c8b3c703f47686f277",
"mainChain": true
}
],
"size": 5124,
"isUnconfirmed": false
}