Transaction
ID: 4c8cb78e6d...f729
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.909 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:
0.002 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.11 ERG
Unspent
Address:
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:
0.001 ERG
Transaction Details
Confirmations: 73,869
Total coins transferred: 1.11 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000331 ERG
Raw Transaction Data
{
"id": "4c8cb78e6de8c4e380c7ff0f425ff5087a6f77715a099505fb7056f173b1f729",
"blockId": "014808c624ae1565b3829a261bc97c6efdb38fb4ecb4261c5f662eb8d2185356",
"inclusionHeight": 1695212,
"timestamp": 1767858887522,
"index": 4,
"globalIndex": 10111598,
"numConfirmations": 73869,
"inputs": [
{
"boxId": "007bdc447a77f2243230d6131f186e66267fc56d0c6fe63ad69cc75c8e4ccec1",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "19556f0eeea0619fa36d804ef9ef32246a6ea54302277a92d0d23519d395eb4b",
"outputTransactionId": "96f015c8d80b576ebe7e4e6946fff0c8ab547df35578289717bd13f2d7ef8e62",
"outputIndex": 0,
"outputGlobalIndex": 52839143,
"outputCreatedAt": 1695187,
"outputSettledAt": 1695188,
"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: 0\n22: 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)\n23: 0\n24: true\n25: false\n26: 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.R6[Coll[Long]].get\n val coll5 = SELF.R7[Coll[Byte]].get\n val coll6 = INPUTS.filter({(box6: Box) => blake2b256(box6.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 == SELF.R4[Coll[Byte]].get) && (box3.R5[GroupElement].get == ge1)) && (box3.R6[Coll[Long]].get == coll4)) && (\n box3.R7[Coll[Byte]].get == coll5\n )\n ) && (box3.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n )\n ) && (box3.id != SELF.id)\n ) && sigmaProp(if (coll6.size > placeholder[Int](6)) {(\n val bi7 = OUTPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n (coll9.size > placeholder[Int](7)) && (coll9(placeholder[Int](8))._1 == coll5)\n })(placeholder[Int](9)).R4[Coll[Long]].get(placeholder[Int](10)).toBigInt\n (bi7 - bi7 * coll4(placeholder[Int](11)).toBigInt / placeholder[Int](12).toBigInt * placeholder[Long](13).toBigInt / coll6(placeholder[Int](14)).tokens(placeholder[Int](15))._2.toBigInt * CONTEXT.dataInputs.filter({(box8: Box) =>\n val coll10 = box8.tokens\n (coll10.size > placeholder[Int](16)) && (coll10(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))\n })(placeholder[Int](19)).R5[BigInt].get / placeholder[BigInt](20) < coll4(placeholder[Int](21)).toBigInt) && if (OUTPUTS.filter({(box8: Box) => blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22) }).size > placeholder[Int](23)) { placeholder[Boolean](24) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3fc091136093d03a74e5ecfe35dc993821ea2ff10d4582d7f47feab8aaa605aa",
"index": 0,
"amount": 1000000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "1103a09c011480aaea55",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,10,90000000]"
},
"R8": {
"serializedValue": "0e08019b9c61f0cc6896",
"sigmaType": "Coll[SByte]",
"renderedValue": "019b9c61f0cc6896"
},
"R7": {
"serializedValue": "0e201c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601",
"sigmaType": "Coll[SByte]",
"renderedValue": "1c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601"
},
"R9": {
"serializedValue": "0e08019b9c61f0cc6896",
"sigmaType": "Coll[SByte]",
"renderedValue": "019b9c61f0cc6896"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "214a1dfd4508e4b087a4741a66f9253595b6c5daa6b777f50e1770d52d9af119",
"value": 909000000,
"index": 1,
"spendingProof": "5481c2471ee57f9e8dff7b259d4170cca5918eb6e9a2bae539f7e194a98c65d8de7cf3f41e20a050a1a83dae2579ae94b7806823896bc52f",
"outputBlockId": "d35ef31076d0c23cca34ec5f490c363758d608c767d919236be887ae6f667833",
"outputTransactionId": "52b63fc5e0561aba53e25a87234ae8fddaab1a76c71ffcef344e54e98a17fc83",
"outputIndex": 2,
"outputGlobalIndex": 52837626,
"outputCreatedAt": 1695135,
"outputSettledAt": 1695137,
"ergoTree": "100204bbd9a90c08cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96ea02d191a373007301",
"ergoTreeConstants": "0: -12924510\n1: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))",
"ergoTreeScript": "{sigmaProp(HEIGHT > placeholder[Int](0)) && placeholder[SigmaProp](1)}",
"address": "5p177mCDoN1drGA5LmqEfssGHLm9CwHWrGYcwxTSY34uZh18RrbGCyXCrdkn19ouYuEng5PQrfVm",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 20998805,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 2,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "594cab498c8901c3e67ddd0781f2afd1b3486be9acad57e5b9e655216980acc8",
"value": 203000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "b934a186c6b20f6c44d0fed253dd673a5aeef3a50c9997fddac39c9d4f59a66a",
"outputTransactionId": "1ec0bc270f79bc7d736a03d9d5bff9e3fe0df7921ae85effac021b115552bf00",
"outputIndex": 1,
"outputGlobalIndex": 52838777,
"outputCreatedAt": 1695174,
"outputSettledAt": 1695175,
"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": [
{
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"index": 0,
"amount": 7000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
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{
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"index": 3,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(2)\n12: CBigInt(100)\n13: CBigInt(1000)\n14: CBigInt(0)\n15: 0\n16: 2\n17: 5000000\n18: 1\n19: 0\n20: 0\n21: 4\n22: 4\n23: 5\n24: 5\n25: 6\n26: 6\n27: 8\n28: 8\n29: 7\n30: 7\n31: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n32: 2\n33: 1\n34: 1\n35: 0\n36: 2\n37: 0\n38: 1\n39: 0\n40: 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 coll5 = SELF.R4[Coll[Long]].get\n val coll6 = SELF.R5[Coll[Coll[Byte]]].get\n val coll7 = box2.R5[Coll[Coll[Byte]]].get\n val coll8 = SELF.R6[Coll[Long]].get\n val coll9 = box2.R6[Coll[Long]].get\n val coll10 = CONTEXT.dataInputs\n val coll11 = box2.R9[Coll[Int]].get\n val i12 = coll11(placeholder[Int](4))\n val box13 = coll10(i12)\n val coll14 = box13.tokens\n val i15 = coll11(placeholder[Int](5))\n val box16 = if (i15 > placeholder[Int](6)) { OUTPUTS(i15 - placeholder[Int](7)) } else { INPUTS(i15 * placeholder[Int](8) - placeholder[Int](9)) }\n val coll17 = coll10.slice(i12 + placeholder[Int](10), coll10.size)\n val coll18 = box2.R7[Coll[Long]].get\n val bi19 = placeholder[BigInt](11)\n val bi20 = placeholder[BigInt](12)\n val bi21 = placeholder[BigInt](13)\n val bi22 = box16.value.toBigInt + coll17.zip(coll18).fold(placeholder[BigInt](14), {(tuple22: (BigInt, (Box, Long))) =>\n val tuple24 = tuple22._2\n val l25 = tuple24._2\n val box26 = tuple24._1\n val bi27 = tuple22._1\n if (l25 > placeholder[Long](15)) {(\n val bi28 = l25.toBigInt\n val bi29 = box26.R4[Int].get.toBigInt\n val bi30 = box26.tokens(placeholder[Int](16))._2.toBigInt\n bi27 + box26.value.toBigInt * bi28 * bi29 / bi30 + bi30 * bi19 / bi20 * bi21 + bi28 * bi29\n )} else { bi27 }\n }) - placeholder[Int](17).toBigInt\n val bi23 = box13.R4[Int].get.toBigInt\n val bi24 = box13.value.toBigInt\n val coll25 = box16.tokens\n val i26 = coll25.size\n val coll27 = box2.R8[Coll[Coll[Byte]]].get\n val coll28 = coll7.slice(placeholder[Int](18), coll7.size)\n val i29 = coll17.size\n val i30 = coll18.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (coll4(placeholder[Int](19)) == placeholder[Long](20))\n ) && (coll5(placeholder[Int](21)) == coll4(placeholder[Int](22)))\n ) && (coll5(placeholder[Int](23)) == coll4(placeholder[Int](24)))\n ) && (coll5(placeholder[Int](25)) == coll4(placeholder[Int](26)))\n ) && (coll5(placeholder[Int](27)) == coll4(placeholder[Int](28)))\n ) && (coll5(placeholder[Int](29)) == coll4(placeholder[Int](30)))\n ) && (coll6 == coll7)\n ) && (coll8 == coll9)\n ) && placeholder[SigmaProp](31) || sigmaProp(\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll7 == coll6) && (coll9 == coll8))) && (\n coll14(placeholder[Int](32))._2.toBigInt * bi22 * bi23 / bi24 + bi24 * bi19 / bi20 * bi21 + bi22 * bi23 == coll4(\n placeholder[Int](33)\n ).toBigInt\n )\n ) && coll25.slice(placeholder[Int](34), i26).forall(\n {(tuple31: (Coll[Byte], Long)) => coll27.zip(coll18).exists({(tuple33: (Coll[Byte], Long)) => tuple33 == tuple31 }) }\n )\n ) && coll28.indices.forall({(i31: Int) =>\n val coll33 = coll17(i31).tokens\n (coll28(i31) == coll33(placeholder[Int](35))._1) && (coll27(i31) == coll33(placeholder[Int](36))._1)\n })\n ) && ((i29 == i30) && (i29 == coll28.size))\n ) && (i30 == coll27.size)\n ) && (coll18.filter({(l31: Long) => l31 == placeholder[Long](37) }).size == i30 - i26 - placeholder[Int](38))\n ) && (coll14(placeholder[Int](39))._1 == coll7(placeholder[Int](40)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "1c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1400,1400,1400,1400,1400,1400]"
},
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},
"R7": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,0,0]"
},
"R9": {
"serializedValue": "10020502",
"sigmaType": "Coll[SInt]",
"renderedValue": "[-3,1]"
},
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12451915,1435,30,15000000,8,0,50,15,20000000]"
}
}
}
],
"dataInputs": [
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"sigmaType": "SLong",
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},
"R5": {
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},
{
"boxId": "37882597755233f2d66c7c0ebdc9ba9aa5ec6997fa0012aaba9071f9a54c1d04",
"value": 220984065021470,
"index": 2,
"outputBlockId": "caf2bd22f1a13fb750fbcbfc479014c6a2831d9f5d92a68ecadbb97d508b1138",
"outputTransactionId": "449b3711212bfd1435c2d50dfdc06c7d64348461de66c2aaf444e6b67d8665c2",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
},
{
"boxId": "a4e79c044f709a9ac21bffd6023c8c948219ae20ee15c9a6955624757ad2928e",
"value": 32806823593493,
"index": 3,
"outputBlockId": "d3641b6d79d6528ca1805948dd1fd0f0baf694b42f405b16c771556ffcb5ae2c",
"outputTransactionId": "2e15bc7b51185a01041f89296d361075e23560f191dfa23ae05e78b5fe494fbc",
"outputIndex": 0,
"ergoTree": "1999030f0400040204020404040405feffffffffffffffff0105feffffffffffffffff01050004d00f040004000406050005000580dac409d819d601b2a5730000d602e4c6a70404d603db63087201d604db6308a7d605b27203730100d606b27204730200d607b27203730300d608b27204730400d6099973058c720602d60a999973068c7205027209d60bc17201d60cc1a7d60d99720b720cd60e91720d7307d60f8c720802d6107e720f06d6117e720d06d612998c720702720fd6137e720c06d6147308d6157e721206d6167e720a06d6177e720906d6189c72117217d6199c72157217d1ededededededed93c27201c2a793e4c672010404720293b27203730900b27204730a00938c7205018c720601938c7207018c72080193b17203730b9593720a730c95720e929c9c721072117e7202069c7ef07212069a9c72137e7214067e9c720d7e72020506929c9c721372157e7202069c7ef0720d069a9c72107e7214067e9c72127e7202050695ed720e917212730d907216a19d721872139d72197210ed9272189c721672139272199c7216721091720b730e",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
},
{
"boxId": "fc710a9bc07261b20db6254eaf4f3c688f3b43700bd834f07c28d55b2ca7ff0f",
"value": 72886647831630,
"index": 4,
"outputBlockId": "d8b38c94efa74f06a444ff040686c234c92816a93309d1f1b59a08c048264ab7",
"outputTransactionId": "1c8bb3e6d561e04901ec9d20e24867915cb8e6dc8f7492dceff28677e9176deb",
"outputIndex": 0,
"ergoTree": "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",
"address": "5vSUZRZbdVbnk4sJWjg2uhL94VZWRg4iatK9VgMChufzUgdihgvhR8yWSUEJKszzV7Vmi6K8hCyKTNhUaiP8p5ko6YEU9yfHpjVuXdQ4i5p4cRCzch6ZiqWrNukYjv7Vs5jvBwqg5hcEJ8u1eerr537YLWUoxxi1M4vQxuaCihzPKMt8NDXP4WcbN6mfNxxLZeGBvsHVvVmina5THaECosCWozKJFBnscjhpr3AJsdaL8evXAvPfEjGhVMoTKXAb2ZGGRmR8g1eZshaHmgTg2imSiaoXU5eiF3HvBnDuawaCtt674ikZ3oZdekqswcVPGMwqqUKVsGY4QuFeQoGwRkMqEYTdV2UDMMsfrjrBYQYKUBFMwsQGMNBL1VoY78aotXzdeqJCBVKbQdD3ZZWvukhSe4xrz8tcF3PoxpysDLt89boMqZJtGEHTV9UBTBEac6sDyQP693qT3nKaErN8TCXrJBUmHPqKozAg9bwxTqMYkpmb9iVKLSoJxG7MjAj72SRbcqQfNCVTztSwN3cRxSrVtz4p87jNFbVtFzhPg7UqDwNFTaasySCqM",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
},
{
"boxId": "360c36db9c5d4aa75b2ab0341172fa8b24ad916b3977713997de946c0df90147",
"value": 7506308957051,
"index": 5,
"outputBlockId": "6f45c09c7bdd384f1e01ef1d43a61561527a1bb26953dcdf25ee6b0fcc64094f",
"outputTransactionId": "a24e18cf0e0fdcfc8c76bc818bdc82326c81cb1a007ecfa3b21305cfe499aa5d",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
},
{
"boxId": "761ebcc621ef3571e18cba5538a26bb67cfa09686c4622eae386a0bdc35a6193",
"value": 36209469506547,
"index": 6,
"outputBlockId": "f4eeba84a4cae7cb248597459aca3b8add5ed1c29836995106ba692a0d3b1034",
"outputTransactionId": "979d692500dd11f9425eaa705d24552d6623c139399d18af496c24b84c1d28ac",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04bc0f",
"sigmaType": "SInt",
"renderedValue": "990"
}
}
}
],
"outputs": [
{
"boxId": "bb2d45714c2247a34ad8ebdbfef52c357ae4478954105aed0cf44bd609d4f613",
"transactionId": "4c8cb78e6de8c4e380c7ff0f425ff5087a6f77715a099505fb7056f173b1f729",
"blockId": "014808c624ae1565b3829a261bc97c6efdb38fb4ecb4261c5f662eb8d2185356",
"value": 2000000,
"index": 0,
"globalIndex": 52839892,
"creationHeight": 1695207,
"settlementHeight": 1695212,
"ergoTree": "100f04000e20160056fb797d5393b622547da4db3afa794cbf9ed3911a4d7b65ed8fcb478e01040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(22,0,86,-5,121,125,83,-109,-74,34,84,125,-92,-37,58,-6,121,76,-65,-98,-45,-111,26,77,123,101,-19,-113,-53,71,-114,1)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf58hFE63dLyDCuPd1r8od9skqbW1AxxJiuFCtiJA8WxF1GFdGo22FZmGiQvewJoArXcPwcsY7UGSbWts9noc3hLVVwEFn6PgWqsGoXdH8YtqKFDPeCDLRRu7VGTG6zbJQBEnHRGNP3KLG38ijkVBGutt4qtz5MN12pwPD5zvo422oGr3h2miUVQTGBeknqGQqWcPjoSCRL2CPx1TYycXAFbFnBYdJTW21ooWjQKkKK3X1uVTdNva1pWVXLpaM33xMjs3Ewy1BUrU3H4z33TxD1N4ZGZBkeHiwcBpARmkRNfUeYZz4ManLWBChkso45Af3iAvfbcc7Ws4S",
"assets": [
{
"tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
"index": 0,
"amount": 7000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 7000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "c03e21f20a463accf69d83e2a3d00ab68842217654c9912232ab6b7a4f9ad007",
"mainChain": true
},
{
"boxId": "10a7efb966d9833a20435233db165181f273529cdb763d82bf49eb1e4c19ed5b",
"transactionId": "4c8cb78e6de8c4e380c7ff0f425ff5087a6f77715a099505fb7056f173b1f729",
"blockId": "014808c624ae1565b3829a261bc97c6efdb38fb4ecb4261c5f662eb8d2185356",
"value": 1000000,
"index": 1,
"globalIndex": 52839893,
"creationHeight": 1695207,
"settlementHeight": 1695212,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(2)\n12: CBigInt(100)\n13: CBigInt(1000)\n14: CBigInt(0)\n15: 0\n16: 2\n17: 5000000\n18: 1\n19: 0\n20: 0\n21: 4\n22: 4\n23: 5\n24: 5\n25: 6\n26: 6\n27: 8\n28: 8\n29: 7\n30: 7\n31: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n32: 2\n33: 1\n34: 1\n35: 0\n36: 2\n37: 0\n38: 1\n39: 0\n40: 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 coll5 = SELF.R4[Coll[Long]].get\n val coll6 = SELF.R5[Coll[Coll[Byte]]].get\n val coll7 = box2.R5[Coll[Coll[Byte]]].get\n val coll8 = SELF.R6[Coll[Long]].get\n val coll9 = box2.R6[Coll[Long]].get\n val coll10 = CONTEXT.dataInputs\n val coll11 = box2.R9[Coll[Int]].get\n val i12 = coll11(placeholder[Int](4))\n val box13 = coll10(i12)\n val coll14 = box13.tokens\n val i15 = coll11(placeholder[Int](5))\n val box16 = if (i15 > placeholder[Int](6)) { OUTPUTS(i15 - placeholder[Int](7)) } else { INPUTS(i15 * placeholder[Int](8) - placeholder[Int](9)) }\n val coll17 = coll10.slice(i12 + placeholder[Int](10), coll10.size)\n val coll18 = box2.R7[Coll[Long]].get\n val bi19 = placeholder[BigInt](11)\n val bi20 = placeholder[BigInt](12)\n val bi21 = placeholder[BigInt](13)\n val bi22 = box16.value.toBigInt + coll17.zip(coll18).fold(placeholder[BigInt](14), {(tuple22: (BigInt, (Box, Long))) =>\n val tuple24 = tuple22._2\n val l25 = tuple24._2\n val box26 = tuple24._1\n val bi27 = tuple22._1\n if (l25 > placeholder[Long](15)) {(\n val bi28 = l25.toBigInt\n val bi29 = box26.R4[Int].get.toBigInt\n val bi30 = box26.tokens(placeholder[Int](16))._2.toBigInt\n bi27 + box26.value.toBigInt * bi28 * bi29 / bi30 + bi30 * bi19 / bi20 * bi21 + bi28 * bi29\n )} else { bi27 }\n }) - placeholder[Int](17).toBigInt\n val bi23 = box13.R4[Int].get.toBigInt\n val bi24 = box13.value.toBigInt\n val coll25 = box16.tokens\n val i26 = coll25.size\n val coll27 = box2.R8[Coll[Coll[Byte]]].get\n val coll28 = coll7.slice(placeholder[Int](18), coll7.size)\n val i29 = coll17.size\n val i30 = coll18.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (coll4(placeholder[Int](19)) == placeholder[Long](20))\n ) && (coll5(placeholder[Int](21)) == coll4(placeholder[Int](22)))\n ) && (coll5(placeholder[Int](23)) == coll4(placeholder[Int](24)))\n ) && (coll5(placeholder[Int](25)) == coll4(placeholder[Int](26)))\n ) && (coll5(placeholder[Int](27)) == coll4(placeholder[Int](28)))\n ) && (coll5(placeholder[Int](29)) == coll4(placeholder[Int](30)))\n ) && (coll6 == coll7)\n ) && (coll8 == coll9)\n ) && placeholder[SigmaProp](31) || sigmaProp(\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll7 == coll6) && (coll9 == coll8))) && (\n coll14(placeholder[Int](32))._2.toBigInt * bi22 * bi23 / bi24 + bi24 * bi19 / bi20 * bi21 + bi22 * bi23 == coll4(\n placeholder[Int](33)\n ).toBigInt\n )\n ) && coll25.slice(placeholder[Int](34), i26).forall(\n {(tuple31: (Coll[Byte], Long)) => coll27.zip(coll18).exists({(tuple33: (Coll[Byte], Long)) => tuple33 == tuple31 }) }\n )\n ) && coll28.indices.forall({(i31: Int) =>\n val coll33 = coll17(i31).tokens\n (coll28(i31) == coll33(placeholder[Int](35))._1) && (coll27(i31) == coll33(placeholder[Int](36))._1)\n })\n ) && ((i29 == i30) && (i29 == coll28.size))\n ) && (i30 == coll27.size)\n ) && (coll18.filter({(l31: Long) => l31 == placeholder[Long](37) }).size == i30 - i26 - placeholder[Int](38))\n ) && (coll14(placeholder[Int](39))._1 == coll7(placeholder[Int](40)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "1c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a062046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1209916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec201d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f201b694b15467c62f0cd4525e368dbdea2329c713aa200b73df4a622e950551b4020ae97c5eccd59a065cd973a8d6afb8bb79f9cc70368a7dcdf73aaeab1cedf6f6b2047a811c68e49f6bfa6629602037ee65f8d175ddbc7b64bdb65ad40599b812fd0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1,9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec,1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f,1b694b15467c62f0cd4525e368dbdea2329c713aa200b73df4a622e950551b40,ae97c5eccd59a065cd973a8d6afb8bb79f9cc70368a7dcdf73aaeab1cedf6f6b,47a811c68e49f6bfa6629602037ee65f8d175ddbc7b64bdb65ad40599b812fd0]"
},
"R6": {
"serializedValue": "1106f015f015f015f015f015f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400,1400,1400,1400,1400,1400]"
},
"R8": {
"serializedValue": "1a052003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf0420003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0208b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b20e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297207a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04,003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0,8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b,e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297,7a51950e5f548549ec1aa63ffdc38279505b11e7e803d01bcf8347e0123c88b0]"
},
"R7": {
"serializedValue": "11050000000000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,0,0,0]"
},
"R9": {
"serializedValue": "10020502",
"sigmaType": "Coll[SInt]",
"renderedValue": "[-3,1]"
},
"R4": {
"serializedValue": "110a80a0b787e9059681f00bb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12451915,1435,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "e6df881814ac34622fbc2b558912bce68fb0c55a6d3fbbc19f006c350a7a25cf",
"mainChain": true
},
{
"boxId": "5517cbb6bbc610697e7ab7b100aa634554d08e2d9e170932b81f2be9f1d50b78",
"transactionId": "4c8cb78e6de8c4e380c7ff0f425ff5087a6f77715a099505fb7056f173b1f729",
"blockId": "014808c624ae1565b3829a261bc97c6efdb38fb4ecb4261c5f662eb8d2185356",
"value": 1108000000,
"index": 2,
"globalIndex": 52839894,
"creationHeight": 1695207,
"settlementHeight": 1695212,
"ergoTree": "100204bbd9a90c08cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96ea02d191a373007301",
"ergoTreeConstants": "0: -12924510\n1: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))",
"ergoTreeScript": "{sigmaProp(HEIGHT > placeholder[Int](0)) && placeholder[SigmaProp](1)}",
"address": "5p177mCDoN1drGA5LmqEfssGHLm9CwHWrGYcwxTSY34uZh18RrbGCyXCrdkn19ouYuEng5PQrfVm",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 13998804,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 1,
"amount": 2,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "e6df881814ac34622fbc2b558912bce68fb0c55a6d3fbbc19f006c350a7a25cf",
"mainChain": true
},
{
"boxId": "0959165b4a8546c0aafe67e57633158a81448f36d6a9053219fcb79a4c579975",
"transactionId": "4c8cb78e6de8c4e380c7ff0f425ff5087a6f77715a099505fb7056f173b1f729",
"blockId": "014808c624ae1565b3829a261bc97c6efdb38fb4ecb4261c5f662eb8d2185356",
"value": 1000000,
"index": 3,
"globalIndex": 52839895,
"creationHeight": 1695207,
"settlementHeight": 1695212,
"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: 0\n22: 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)\n23: 0\n24: true\n25: false\n26: 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.R6[Coll[Long]].get\n val coll5 = SELF.R7[Coll[Byte]].get\n val coll6 = INPUTS.filter({(box6: Box) => blake2b256(box6.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 == SELF.R4[Coll[Byte]].get) && (box3.R5[GroupElement].get == ge1)) && (box3.R6[Coll[Long]].get == coll4)) && (\n box3.R7[Coll[Byte]].get == coll5\n )\n ) && (box3.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get)\n )\n ) && (box3.id != SELF.id)\n ) && sigmaProp(if (coll6.size > placeholder[Int](6)) {(\n val bi7 = OUTPUTS.filter({(box7: Box) =>\n val coll9 = box7.tokens\n (coll9.size > placeholder[Int](7)) && (coll9(placeholder[Int](8))._1 == coll5)\n })(placeholder[Int](9)).R4[Coll[Long]].get(placeholder[Int](10)).toBigInt\n (bi7 - bi7 * coll4(placeholder[Int](11)).toBigInt / placeholder[Int](12).toBigInt * placeholder[Long](13).toBigInt / coll6(placeholder[Int](14)).tokens(placeholder[Int](15))._2.toBigInt * CONTEXT.dataInputs.filter({(box8: Box) =>\n val coll10 = box8.tokens\n (coll10.size > placeholder[Int](16)) && (coll10(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))\n })(placeholder[Int](19)).R5[BigInt].get / placeholder[BigInt](20) < coll4(placeholder[Int](21)).toBigInt) && if (OUTPUTS.filter({(box8: Box) => blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22) }).size > placeholder[Int](23)) { placeholder[Boolean](24) } else { placeholder[Boolean](25) }\n )} else { placeholder[Boolean](26) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3fc091136093d03a74e5ecfe35dc993821ea2ff10d4582d7f47feab8aaa605aa",
"index": 0,
"amount": 1000000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "1103a09c011480aaea55",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,10,90000000]"
},
"R8": {
"serializedValue": "0e08019b9c61f0cc6896",
"sigmaType": "Coll[SByte]",
"renderedValue": "019b9c61f0cc6896"
},
"R7": {
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"renderedValue": "1c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601"
},
"R9": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "019b9c61f0cc6896"
},
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},
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},
{
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"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)}",
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},
{
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"index": 5,
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"ergoTree": "0008cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))}",
"address": "9i9RhfdHQA2bHA8GqWKkYevp3nozASRjJfFkh29utjNL9gqE7Q7",
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"mainChain": true
}
],
"size": 3025,
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}