Transaction
ID: 76664e4176...4d87
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0024 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0024 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
196.01 ERG
Tokens:
Loading assets...
Outputs (8)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
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
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
196 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0024 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0024 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 61,827
Total coins transferred: 196.22 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000158 ERG
Raw Transaction Data
{
"id": "76664e4176c7f2d9c4e973339d3164a2db3c2e97de6b9b3dc645991c681e4d87",
"blockId": "b8665569e074e72ddea2503d76e9291c5202b562fe92861b15407e1fb6fc2b27",
"inclusionHeight": 1709999,
"timestamp": 1769651157247,
"index": 12,
"globalIndex": 10216723,
"numConfirmations": 61827,
"inputs": [
{
"boxId": "b49bc21c80b76e7156d6653c58cfd9912eaa8114a859e85d4d2dcc77237ea61a",
"value": 203000000,
"index": 0,
"spendingProof": "efd081c1e8c3015533e2fd8656e39eaddc444b8cff5963f6ad3711c974f8f7462e9ca8b456d358e8ee77b2afbb5192d15c7c2391017c5eab",
"outputBlockId": "5214ecd20bf0264adff28b990a878a6f332e97194608382b6d0294c2cb747867",
"outputTransactionId": "3da5dacefe7e6aaf2fdc34226ebe652d87d31a2682aaa34a5f4755901d96abb6",
"outputIndex": 1,
"outputGlobalIndex": 53246303,
"outputCreatedAt": 1709920,
"outputSettledAt": 1709923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(17,2,32,-66,-57,47,76,87,-67,111,61,79,126,0,62,68,-111,106,-128,91,-2,-111,-34,-23,87,126,86,12,-95,104,115,101)\n3: 0\n4: 3\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(80,66,-16,-35,16,-124,46,122,44,82,-93,92,59,24,1,31,5,13,-92,30,-7,-20,-55,59,7,-12,125,-61,98,-85,96,124)\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: 1\n17: 5\n18: 7\n19: 2\n20: 0\n21: 32\n22: 32\n23: 40\n24: 6\n25: 1000\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 2\n33: 0\n34: 0\n35: 0\n36: 1\n37: 0\n38: 8\n39: 0\n40: 8\n41: 0\n42: 1\n43: 10000000\n44: 1\n45: 1000000\n46: 1000\n47: 1000\n48: 0\n49: 0\n50: 0\n51: 1000000\n52: 10000000\n53: 5\n54: 1000000\n55: 10000000\n56: 100000000\n57: 100000000\n58: 100000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 3\n64: 5\n65: 6\n66: 7\n67: 1000\n68: 1\n69: 1\n70: 980000\n71: 1000000\n72: CBigInt(1)\n73: 0\n74: 0\n75: 0\n76: 0\n77: -1\n78: 1\n79: 1\n80: 2000000\n81: 0\n82: 0\n83: 0\n84: true\n85: 0\n86: 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 i5 = INPUTS.indexOf(SELF, placeholder[Int](3))\n val coll6 = SELF.R9[Coll[Long]].get\n val l7 = coll6(placeholder[Int](4))\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](5))\n val coll10 = tuple9._1\n val coll11 = SELF.R4[Coll[Byte]].get\n val ge12 = SELF.R5[GroupElement].get\n val l13 = SELF.R6[Long].get\n val coll14 = SELF.R8[Coll[Byte]].get\n val l15 = SELF.value\n val func16 = {(box16: Box) =>\n val coll18 = box16.propositionBytes\n val bool19 = coll18 == coll3\n bool19\n }\n val coll17 = OUTPUTS.filter(func16)\n val box18 = coll17.getOrElse(i5, SELF)\n val coll19 = box18.tokens\n val tuple20 = coll19(placeholder[Int](6))\n val l21 = tuple20._2\n val bi22 = placeholder[BigInt](7)\n val bi23 = CONTEXT.dataInputs.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](8)) && (coll25(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l24 = tuple9._2\n val bi25 = l24.toBigInt\n val coll26 = coll8.slice(placeholder[Int](12), coll8.size)\n val coll27 = placeholder[Coll[Byte]](13)\n val func28 = {(box28: Box) =>\n val coll30 = box28.propositionBytes\n val coll31 = blake2b256(coll30)\n val bool32 = coll31 == coll4\n bool32\n }\n val coll29 = OUTPUTS.filter(func28)\n val box30 = coll29.getOrElse(i5, SELF)\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](14))\n val l33 = coll6(placeholder[Int](15))\n val i34 = INPUTS.filter({(box34: Box) => box34.propositionBytes == coll3 }).size\n val bool35 = i34 == placeholder[Int](16)\n val l36 = HEIGHT.toLong\n val l37 = coll6(placeholder[Int](17))\n val l38 = coll6(placeholder[Int](18))\n val l39 = l37 + l38\n val l40 = coll6(placeholder[Int](19))\n val coll41 = coll14.slice(placeholder[Int](20), placeholder[Int](21))\n val coll42 = coll14.slice(placeholder[Int](22), placeholder[Int](23))\n val l43 = coll6(placeholder[Int](24))\n val bi44 = bi25 * bi23 / bi22\n val bi45 = if (l36 < l39) {(\n val i45 = placeholder[Int](25)\n bi44 * l43.toBigInt + i45.toBigInt / i45.toBigInt\n )} else { bi44 }\n val box46 = coll29.getOrElse(placeholder[Int](26), SELF)\n val coll47 = box46.tokens\n val tuple48 = coll47(placeholder[Int](27))\n val func49 = {(box49: Box) =>\n val coll51 = box49.propositionBytes\n val coll52 = blake2b256(coll51)\n val bool53 = coll52 == coll4\n bool53\n }\n val coll50 = OUTPUTS.filter(func49)\n val box51 = coll50.getOrElse(placeholder[Int](28), SELF)\n val coll52 = box51.tokens\n val tuple53 = coll52(placeholder[Int](29))\n if (coll2.size > placeholder[Int](30)) {(\n val func54 = func16\n val coll55 = coll17\n val i56 = coll55.size\n val func57 = func28\n val coll58 = coll29\n val box59 = coll2.getOrElse(i5, SELF)\n val coll60 = box59.R4[Coll[Long]].get\n val l61 = coll60(placeholder[Int](31))\n val l62 = coll60(placeholder[Int](32))\n if (i56 > placeholder[Int](33)) {(\n val box63 = box18\n val bool64 = OUTPUTS.map({(box64: Box) => box64.id }).indexOf(box63.id, placeholder[Int](34)) == box59.R9[Coll[Int]].get(\n placeholder[Int](35)\n ) - placeholder[Int](36)\n val l65 = box63.value\n val coll66 = coll19\n val tuple67 = tuple20\n val coll68 = box63.R4[Coll[Byte]].get\n val ge69 = box63.R5[GroupElement].get\n val coll70 = box63.R7[Coll[Byte]].get\n val bool71 = ((((l65 >= l7) && (tuple67._1 == coll10)) && (coll68 == coll11)) && (ge69 == ge12)) && (coll70 == coll1)\n val coll72 = box63.R8[Coll[Byte]].get\n val l73 = box63.R6[Long].get\n val coll74 = box63.R9[Coll[Long]].get\n val bool75 = coll74.slice(placeholder[Int](37), placeholder[Int](38)) == coll6.slice(placeholder[Int](39), placeholder[Int](40))\n if (coll58.size > placeholder[Int](41)) {(\n val bi76 = l21.toBigInt\n val box77 = box30\n val coll78 = coll31\n val tuple79 = coll78(placeholder[Int](42))\n val tuple80 = tuple32\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (l65 >= l15)) && (l65 <= l15 + placeholder[Long](43))) && (\n bi76 >= bi25 - tuple79._2.toBigInt * bi22 / bi23\n )\n ) && (coll66.slice(placeholder[Int](44), coll66.size) == coll26)\n ) && (l73 == l13)\n ) && bool75\n ) && (((box77.value >= placeholder[Long](45)) && (tuple80._1 == coll10)) && (tuple79._1 == coll27))\n ) && (tuple80._2 == l24 - l21)\n ) && (l61.toBigInt >= bi76 * bi23 / bi22 * l33.toBigInt / placeholder[Int](46).toBigInt)\n ) && bool35\n ) && (l36 >= l39)\n )\n )} else {(\n val bi76 = l61.toBigInt\n val i77 = placeholder[Int](47)\n val bi78 = l21.toBigInt * bi23 / bi22 * l33.toBigInt / i77.toBigInt\n val bool79 = bi76 >= bi78\n val prop80 = sigmaProp(INPUTS.filter({(box80: Box) =>\n val coll82 = box80.tokens\n ((coll82.size > placeholder[Int](48)) && (coll82(placeholder[Int](49))._1 == coll41)) && (box80.R9[Coll[Coll[Byte]]].get(i5) == coll42)\n }).size > placeholder[Int](50)) || proveDlog(ge12)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (l65 >= l15 - placeholder[Long](51))) && (l65 <= l15 + placeholder[Long](52))) && (\n coll66 == coll8\n )\n ) && (l73 > l36 + l40)\n ) && (l73 < l36 + l40 + placeholder[Long](53))\n ) && (bi76 < bi78)\n ) && bool75\n ) && bool35\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (l65 >= l15 - placeholder[Long](54))) && (l65 <= l15 + placeholder[Long](55))) && (\n coll66 == coll8\n )\n ) && (l13 != placeholder[Long](56))\n ) && (l73 == placeholder[Long](57))\n ) && bool79\n ) && bool75\n ) && bool35\n ) || prop80 && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (bi76 >= bi45 * l62.toBigInt / i77.toBigInt)) && (tuple67 == tuple9)) && (\n l73 == placeholder[Long](58)\n )\n ) && bool79\n ) && ((coll74(placeholder[Int](59)) == l62) && (coll74(placeholder[Int](60)) == coll60(placeholder[Int](61))))\n ) && (i34 == i56)\n ) && (coll74(placeholder[Int](62)) == l40)\n ) && (coll74(placeholder[Int](63)) == l7)\n ) && (coll74(placeholder[Int](64)) == l37)\n ) && (coll74(placeholder[Int](65)) == l43)\n ) && (coll74(placeholder[Int](66)) == l38)\n ) || prop80 && sigmaProp(\n ((((((bool71 && (l65 == l15)) && (coll66 == coll8)) && (coll68 == coll11)) && (ge69 == ge12)) && (coll70 == coll1)) && (coll74 == coll6)) && (\n i34 == i56\n )\n )\n )}\n )} else {(\n val bi63 = l61.toBigInt\n val i64 = placeholder[Int](67)\n val box65 = box46\n val coll66 = coll47\n val tuple67 = tuple48\n val tuple68 = coll66(placeholder[Int](68))\n val coll69 = SELF.id\n val bi70 = bi63 - bi45\n val bi71 = coll6(placeholder[Int](69)).toBigInt\n val bi72 = bi70 * i64.toBigInt - bi71 / i64.toBigInt\n val l73 = tuple68._2\n sigmaProp(\n (\n (\n (\n (\n (((bi63 <= bi45 * l33.toBigInt / i64.toBigInt) && (l36 >= l13)) || (l36 > SELF.creationInfo._1.toLong + placeholder[Long](70))) && (\n (((box65.value >= placeholder[Long](71)) && (tuple67._1 == coll10)) && (tuple68._1 == coll27)) && (box65.id != coll69)\n )\n ) && (tuple67._2 == l24)\n ) && if (bi72 < placeholder[BigInt](72)) { l73.toBigInt >= bi63 } else {(\n val box74 = OUTPUTS.filter({(box74: Box) => box74.propositionBytes == coll11 }).getOrElse(placeholder[Int](73), SELF)\n val tuple75 = box74.tokens(placeholder[Int](74))\n (((l73.toBigInt >= bi45 + bi70 * bi71 / i64.toBigInt) && (tuple75._2.toBigInt >= bi72)) && (tuple75._1 == coll27)) && (box74.id != coll69)\n )}\n ) && (\n INPUTS.map({(box74: Box) => box74.id }).indexOf(coll69, placeholder[Int](75)) == box59.R9[Coll[Int]].get(placeholder[Int](76)) * placeholder[Int](\n 77\n ) - placeholder[Int](78)\n )\n ) && bool35\n )\n )}\n )} else {(\n val func54 = func49\n val coll55 = coll50\n val box56 = box51\n val coll57 = coll52\n val tuple58 = tuple53\n val tuple59 = coll57(placeholder[Int](79))\n sigmaProp(\n (\n (\n (\n ((((box56.value >= placeholder[Long](80)) && (tuple58._1 == coll10)) && (tuple59._1 == coll27)) && (box56.id != SELF.id)) && (tuple58._2 == l24)\n ) && (tuple59._2.toBigInt > bi45)\n ) && if (INPUTS.filter({(box60: Box) =>\n val coll62 = box60.tokens\n ((coll62.size > placeholder[Int](81)) && (coll62(placeholder[Int](82))._1 == coll41)) && (box60.R9[Coll[Byte]].get == coll42)\n }).size > placeholder[Int](83)) { placeholder[Boolean](84) } else {(\n val box60 = OUTPUTS.filter({(box60: Box) => box60.propositionBytes == coll11 }).getOrElse(placeholder[Int](85), SELF)\n ((box60.value >= l15 - placeholder[Long](86)) && (box60.tokens == coll26)) && (box60.id != SELF.id)\n )}\n ) && bool35\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "9c5b82f4ccc2961de3f329d787c8ff99b546eb2d171d43743cfd25590f2a71b9",
"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": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e20c3b0d2aed09f0b6302c2eb2e1e474f99f30b7da9416509dc9069fb643144762d",
"sigmaType": "Coll[SByte]",
"renderedValue": "c3b0d2aed09f0b6302c2eb2e1e474f99f30b7da9416509dc9069fb643144762d"
},
"R9": {
"serializedValue": "1108b6163c108087a70e00caddd001641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1435,30,8,15000000,0,1709925,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "b0e3b29d924fcd79477c1ee27ccabf0b7f9426e6b23c0744bd7e1761ba1ad3c1",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5214ecd20bf0264adff28b990a878a6f332e97194608382b6d0294c2cb747867",
"outputTransactionId": "3da5dacefe7e6aaf2fdc34226ebe652d87d31a2682aaa34a5f4755901d96abb6",
"outputIndex": 3,
"outputGlobalIndex": 53246305,
"outputCreatedAt": 1709920,
"outputSettledAt": 1709923,
"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": "c3b0d2aed09f0b6302c2eb2e1e474f99f30b7da9416509dc9069fb643144762d",
"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": "10020404",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,2]"
},
"R4": {
"serializedValue": "110a80a0b787e905a4c5f00bb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12456274,1435,30,15000000,8,0,50,15,20000000]"
}
}
},
{
"boxId": "eb264e672b59bb6de6870c8f277b6b5e1b57ffebe6cf9b1707c9f95036efcc68",
"value": 2400000,
"index": 2,
"spendingProof": "51d19295c0dc639991510187df3d51e8a5aa71b229827c3f221234f146ac4db3a457744b0ba129eacb17f65f1b2c6b962edfde2aa99fc28b",
"outputBlockId": "69a81949616cdb55f4640d779adb28327d2036b41968c39e9fe5fd001e1bae47",
"outputTransactionId": "7155bd87782ed01f0459188d28ecc6cdae847863e3118994bc18e7958edd587e",
"outputIndex": 2,
"outputGlobalIndex": 53246101,
"outputCreatedAt": 1709915,
"outputSettledAt": 1709916,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "4f0e48e1220494b48e777012ea4a7a2afb12895413aae4fd544f4b5179216f98",
"index": 0,
"amount": 11611554,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "61e468f69ee97e96a5cff5749c9e54f1326bb20f8d96d22c829e73df6c882a52",
"index": 1,
"amount": 43908,
"name": "fSpf",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 14978,
"name": "fSigRSV",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4d4bc42f51f0adfa263806608cc27913ca7621762d05723cc96b5c39281bb333",
"index": 3,
"amount": 27172409628,
"name": "Test 1",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 4,
"amount": 10009955,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 5,
"amount": 22,
"name": "Lend Token SigUSD-0d",
"decimals": 9,
"type": "EIP-004"
},
{
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"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
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"amount": 12011952,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
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"name": "junk",
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"type": "EIP-004"
},
{
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"name": "Lend Token QUACKS - Beta-2.0",
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},
{
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"index": 10,
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"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 11,
"amount": 11999999,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 12,
"amount": 16000,
"name": "Mi Goreng ",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "681728ac14de555ac1bd315c1ceb3af509b962b9a586d2ab37da4abcaba08088",
"index": 13,
"amount": 5000400,
"name": "Test quacks",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 14,
"amount": 999998849,
"name": "Test SigUSD",
"decimals": 0,
"type": "EIP-004"
},
{
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"amount": 149720450104,
"name": "fQuacks",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "fQUACKS2",
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"type": "EIP-004"
},
{
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"index": 18,
"amount": 9310,
"name": "Receipts",
"decimals": 6,
"type": "EIP-004"
},
{
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"index": 19,
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"name": "Lend Token QUACKS-1e",
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"type": "EIP-004"
},
{
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"name": "Lend Tokens",
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"type": "EIP-004"
},
{
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"name": "Lend Token QUACKS - Beta-2.0",
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"type": "EIP-004"
},
{
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{
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"amount": 221,
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},
{
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{
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},
{
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},
{
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{
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},
{
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"name": "Lend Token QUACKS - Beta-2.0",
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},
{
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"name": "Lend Token QUACKS - Beta-2.0",
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},
{
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"name": "Lend Token QUACKS - Beta-2.0",
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"type": "EIP-004"
},
{
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"name": "Lend Token QUACKS - Beta-2.0",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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"type": "EIP-004"
},
{
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(17,2,32,-66,-57,47,76,87,-67,111,61,79,126,0,62,68,-111,106,-128,91,-2,-111,-34,-23,87,126,86,12,-95,104,115,101)\n3: 0\n4: 3\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(80,66,-16,-35,16,-124,46,122,44,82,-93,92,59,24,1,31,5,13,-92,30,-7,-20,-55,59,7,-12,125,-61,98,-85,96,124)\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: 1\n17: 5\n18: 7\n19: 2\n20: 0\n21: 32\n22: 32\n23: 40\n24: 6\n25: 1000\n26: 0\n27: 0\n28: 0\n29: 0\n30: 0\n31: 1\n32: 2\n33: 0\n34: 0\n35: 0\n36: 1\n37: 0\n38: 8\n39: 0\n40: 8\n41: 0\n42: 1\n43: 10000000\n44: 1\n45: 1000000\n46: 1000\n47: 1000\n48: 0\n49: 0\n50: 0\n51: 1000000\n52: 10000000\n53: 5\n54: 1000000\n55: 10000000\n56: 100000000\n57: 100000000\n58: 100000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 3\n64: 5\n65: 6\n66: 7\n67: 1000\n68: 1\n69: 1\n70: 980000\n71: 1000000\n72: CBigInt(1)\n73: 0\n74: 0\n75: 0\n76: 0\n77: -1\n78: 1\n79: 1\n80: 2000000\n81: 0\n82: 0\n83: 0\n84: true\n85: 0\n86: 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 i5 = INPUTS.indexOf(SELF, placeholder[Int](3))\n val coll6 = SELF.R9[Coll[Long]].get\n val l7 = coll6(placeholder[Int](4))\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](5))\n val coll10 = tuple9._1\n val coll11 = SELF.R4[Coll[Byte]].get\n val ge12 = SELF.R5[GroupElement].get\n val l13 = SELF.R6[Long].get\n val coll14 = SELF.R8[Coll[Byte]].get\n val l15 = SELF.value\n val func16 = {(box16: Box) =>\n val coll18 = box16.propositionBytes\n val bool19 = coll18 == coll3\n bool19\n }\n val coll17 = OUTPUTS.filter(func16)\n val box18 = coll17.getOrElse(i5, SELF)\n val coll19 = box18.tokens\n val tuple20 = coll19(placeholder[Int](6))\n val l21 = tuple20._2\n val bi22 = placeholder[BigInt](7)\n val bi23 = CONTEXT.dataInputs.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](8)) && (coll25(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l24 = tuple9._2\n val bi25 = l24.toBigInt\n val coll26 = coll8.slice(placeholder[Int](12), coll8.size)\n val coll27 = placeholder[Coll[Byte]](13)\n val func28 = {(box28: Box) =>\n val coll30 = box28.propositionBytes\n val coll31 = blake2b256(coll30)\n val bool32 = coll31 == coll4\n bool32\n }\n val coll29 = OUTPUTS.filter(func28)\n val box30 = coll29.getOrElse(i5, SELF)\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](14))\n val l33 = coll6(placeholder[Int](15))\n val i34 = INPUTS.filter({(box34: Box) => box34.propositionBytes == coll3 }).size\n val bool35 = i34 == placeholder[Int](16)\n val l36 = HEIGHT.toLong\n val l37 = coll6(placeholder[Int](17))\n val l38 = coll6(placeholder[Int](18))\n val l39 = l37 + l38\n val l40 = coll6(placeholder[Int](19))\n val coll41 = coll14.slice(placeholder[Int](20), placeholder[Int](21))\n val coll42 = coll14.slice(placeholder[Int](22), placeholder[Int](23))\n val l43 = coll6(placeholder[Int](24))\n val bi44 = bi25 * bi23 / bi22\n val bi45 = if (l36 < l39) {(\n val i45 = placeholder[Int](25)\n bi44 * l43.toBigInt + i45.toBigInt / i45.toBigInt\n )} else { bi44 }\n val box46 = coll29.getOrElse(placeholder[Int](26), SELF)\n val coll47 = box46.tokens\n val tuple48 = coll47(placeholder[Int](27))\n val func49 = {(box49: Box) =>\n val coll51 = box49.propositionBytes\n val coll52 = blake2b256(coll51)\n val bool53 = coll52 == coll4\n bool53\n }\n val coll50 = OUTPUTS.filter(func49)\n val box51 = coll50.getOrElse(placeholder[Int](28), SELF)\n val coll52 = box51.tokens\n val tuple53 = coll52(placeholder[Int](29))\n if (coll2.size > placeholder[Int](30)) {(\n val func54 = func16\n val coll55 = coll17\n val i56 = coll55.size\n val func57 = func28\n val coll58 = coll29\n val box59 = coll2.getOrElse(i5, SELF)\n val coll60 = box59.R4[Coll[Long]].get\n val l61 = coll60(placeholder[Int](31))\n val l62 = coll60(placeholder[Int](32))\n if (i56 > placeholder[Int](33)) {(\n val box63 = box18\n val bool64 = OUTPUTS.map({(box64: Box) => box64.id }).indexOf(box63.id, placeholder[Int](34)) == box59.R9[Coll[Int]].get(\n placeholder[Int](35)\n ) - placeholder[Int](36)\n val l65 = box63.value\n val coll66 = coll19\n val tuple67 = tuple20\n val coll68 = box63.R4[Coll[Byte]].get\n val ge69 = box63.R5[GroupElement].get\n val coll70 = box63.R7[Coll[Byte]].get\n val bool71 = ((((l65 >= l7) && (tuple67._1 == coll10)) && (coll68 == coll11)) && (ge69 == ge12)) && (coll70 == coll1)\n val coll72 = box63.R8[Coll[Byte]].get\n val l73 = box63.R6[Long].get\n val coll74 = box63.R9[Coll[Long]].get\n val bool75 = coll74.slice(placeholder[Int](37), placeholder[Int](38)) == coll6.slice(placeholder[Int](39), placeholder[Int](40))\n if (coll58.size > placeholder[Int](41)) {(\n val bi76 = l21.toBigInt\n val box77 = box30\n val coll78 = coll31\n val tuple79 = coll78(placeholder[Int](42))\n val tuple80 = tuple32\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (l65 >= l15)) && (l65 <= l15 + placeholder[Long](43))) && (\n bi76 >= bi25 - tuple79._2.toBigInt * bi22 / bi23\n )\n ) && (coll66.slice(placeholder[Int](44), coll66.size) == coll26)\n ) && (l73 == l13)\n ) && bool75\n ) && (((box77.value >= placeholder[Long](45)) && (tuple80._1 == coll10)) && (tuple79._1 == coll27))\n ) && (tuple80._2 == l24 - l21)\n ) && (l61.toBigInt >= bi76 * bi23 / bi22 * l33.toBigInt / placeholder[Int](46).toBigInt)\n ) && bool35\n ) && (l36 >= l39)\n )\n )} else {(\n val bi76 = l61.toBigInt\n val i77 = placeholder[Int](47)\n val bi78 = l21.toBigInt * bi23 / bi22 * l33.toBigInt / i77.toBigInt\n val bool79 = bi76 >= bi78\n val prop80 = sigmaProp(INPUTS.filter({(box80: Box) =>\n val coll82 = box80.tokens\n ((coll82.size > placeholder[Int](48)) && (coll82(placeholder[Int](49))._1 == coll41)) && (box80.R9[Coll[Coll[Byte]]].get(i5) == coll42)\n }).size > placeholder[Int](50)) || proveDlog(ge12)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (l65 >= l15 - placeholder[Long](51))) && (l65 <= l15 + placeholder[Long](52))) && (\n coll66 == coll8\n )\n ) && (l73 > l36 + l40)\n ) && (l73 < l36 + l40 + placeholder[Long](53))\n ) && (bi76 < bi78)\n ) && bool75\n ) && bool35\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (l65 >= l15 - placeholder[Long](54))) && (l65 <= l15 + placeholder[Long](55))) && (\n coll66 == coll8\n )\n ) && (l13 != placeholder[Long](56))\n ) && (l73 == placeholder[Long](57))\n ) && bool79\n ) && bool75\n ) && bool35\n ) || prop80 && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool71 && bool64) && (coll14 == coll72)) && (bi76 >= bi45 * l62.toBigInt / i77.toBigInt)) && (tuple67 == tuple9)) && (\n l73 == placeholder[Long](58)\n )\n ) && bool79\n ) && ((coll74(placeholder[Int](59)) == l62) && (coll74(placeholder[Int](60)) == coll60(placeholder[Int](61))))\n ) && (i34 == i56)\n ) && (coll74(placeholder[Int](62)) == l40)\n ) && (coll74(placeholder[Int](63)) == l7)\n ) && (coll74(placeholder[Int](64)) == l37)\n ) && (coll74(placeholder[Int](65)) == l43)\n ) && (coll74(placeholder[Int](66)) == l38)\n ) || prop80 && sigmaProp(\n ((((((bool71 && (l65 == l15)) && (coll66 == coll8)) && (coll68 == coll11)) && (ge69 == ge12)) && (coll70 == coll1)) && (coll74 == coll6)) && (\n i34 == i56\n )\n )\n )}\n )} else {(\n val bi63 = l61.toBigInt\n val i64 = placeholder[Int](67)\n val box65 = box46\n val coll66 = coll47\n val tuple67 = tuple48\n val tuple68 = coll66(placeholder[Int](68))\n val coll69 = SELF.id\n val bi70 = bi63 - bi45\n val bi71 = coll6(placeholder[Int](69)).toBigInt\n val bi72 = bi70 * i64.toBigInt - bi71 / i64.toBigInt\n val l73 = tuple68._2\n sigmaProp(\n (\n (\n (\n (\n (((bi63 <= bi45 * l33.toBigInt / i64.toBigInt) && (l36 >= l13)) || (l36 > SELF.creationInfo._1.toLong + placeholder[Long](70))) && (\n (((box65.value >= placeholder[Long](71)) && (tuple67._1 == coll10)) && (tuple68._1 == coll27)) && (box65.id != coll69)\n )\n ) && (tuple67._2 == l24)\n ) && if (bi72 < placeholder[BigInt](72)) { l73.toBigInt >= bi63 } else {(\n val box74 = OUTPUTS.filter({(box74: Box) => box74.propositionBytes == coll11 }).getOrElse(placeholder[Int](73), SELF)\n val tuple75 = box74.tokens(placeholder[Int](74))\n (((l73.toBigInt >= bi45 + bi70 * bi71 / i64.toBigInt) && (tuple75._2.toBigInt >= bi72)) && (tuple75._1 == coll27)) && (box74.id != coll69)\n )}\n ) && (\n INPUTS.map({(box74: Box) => box74.id }).indexOf(coll69, placeholder[Int](75)) == box59.R9[Coll[Int]].get(placeholder[Int](76)) * placeholder[Int](\n 77\n ) - placeholder[Int](78)\n )\n ) && bool35\n )\n )}\n )} else {(\n val func54 = func49\n val coll55 = coll50\n val box56 = box51\n val coll57 = coll52\n val tuple58 = tuple53\n val tuple59 = coll57(placeholder[Int](79))\n sigmaProp(\n (\n (\n (\n ((((box56.value >= placeholder[Long](80)) && (tuple58._1 == coll10)) && (tuple59._1 == coll27)) && (box56.id != SELF.id)) && (tuple58._2 == l24)\n ) && (tuple59._2.toBigInt > bi45)\n ) && if (INPUTS.filter({(box60: Box) =>\n val coll62 = box60.tokens\n ((coll62.size > placeholder[Int](81)) && (coll62(placeholder[Int](82))._1 == coll41)) && (box60.R9[Coll[Byte]].get == coll42)\n }).size > placeholder[Int](83)) { placeholder[Boolean](84) } else {(\n val box60 = OUTPUTS.filter({(box60: Box) => box60.propositionBytes == coll11 }).getOrElse(placeholder[Int](85), SELF)\n ((box60.value >= l15 - placeholder[Long](86)) && (box60.tokens == coll26)) && (box60.id != SELF.id)\n )}\n ) && bool35\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "9c5b82f4ccc2961de3f329d787c8ff99b546eb2d171d43743cfd25590f2a71b9",
"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": "0e28b49bc21c80b76e7156d6653c58cfd9912eaa8114a859e85d4d2dcc77237ea61a019c076b37f14ed3",
"sigmaType": "Coll[SByte]",
"renderedValue": "b49bc21c80b76e7156d6653c58cfd9912eaa8114a859e85d4d2dcc77237ea61a019c076b37f14ed3"
},
"R7": {
"serializedValue": "0e20c3b0d2aed09f0b6302c2eb2e1e474f99f30b7da9416509dc9069fb643144762d",
"sigmaType": "Coll[SByte]",
"renderedValue": "c3b0d2aed09f0b6302c2eb2e1e474f99f30b7da9416509dc9069fb643144762d"
},
"R9": {
"serializedValue": "1108b6163c108087a70e00caddd001641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1435,30,8,15000000,0,1709925,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "6170322fbfef39fe9126f712b201484bed35f45aadbcceadc305c4dbb4d225c7",
"mainChain": true
},
{
"boxId": "93e093af3cae234868e249a9e7b36b2ab1a12b167986baf0ed5ce904da23910c",
"transactionId": "76664e4176c7f2d9c4e973339d3164a2db3c2e97de6b9b3dc645991c681e4d87",
"blockId": "b8665569e074e72ddea2503d76e9291c5202b562fe92861b15407e1fb6fc2b27",
"value": 1000000,
"index": 1,
"globalIndex": 53249490,
"creationHeight": 1709996,
"settlementHeight": 1709999,
"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": [
{
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"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": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1]"
},
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12456274,1435,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "042acf49869e48073952d8066af28372a437f00b3d54ac5dab138e69bd17f9b4",
"mainChain": true
},
{
"boxId": "e1e76b0d2a7a5e480f3fbb243f02299e66276af78809ed59addfd295dbc6562c",
"transactionId": "76664e4176c7f2d9c4e973339d3164a2db3c2e97de6b9b3dc645991c681e4d87",
"blockId": "b8665569e074e72ddea2503d76e9291c5202b562fe92861b15407e1fb6fc2b27",
"value": 1000000,
"index": 2,
"globalIndex": 53249491,
"creationHeight": 1709996,
"settlementHeight": 1709999,
"ergoTree": "100308cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c708cd03199bd9865508d9e9c998e828d8313cb1bf83d43ac79c467d33f8d1223fde382c04ff02eb027300ea027301d191a37302",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))\n1: SigmaProp(ProveDlog(ECPoint(199bd9,a14ea8,...)))\n2: -192",
"ergoTreeScript": "{placeholder[SigmaProp](0) || placeholder[SigmaProp](1) && sigmaProp(HEIGHT > placeholder[Int](2))}",
"address": "iGoXksJG9JWyoXeiwQXkZBYp9RT3WHWkxKAhTHA3CwnXorkurV1pNbPJNUVfHjT9uwYeRhz7mP84xjZt1yruCqNs8uAdN8M7F6oBxtsKppsKhxtjXRien5CjWyYkjv",
"assets": [
{
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"index": 0,
"amount": 1000000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[019c076b37f14ed3]"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R8": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[019c076b37f14ed3]"
},
"R7": {
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"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R9": {
"serializedValue": "1a0108019c076b37f14ed3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[019c076b37f14ed3]"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "b49bc21c80b76e7156d6653c58cfd9912eaa8114a859e85d4d2dcc77237ea61a"
}
},
"spentTransactionId": "042acf49869e48073952d8066af28372a437f00b3d54ac5dab138e69bd17f9b4",
"mainChain": true
},
{
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"transactionId": "76664e4176c7f2d9c4e973339d3164a2db3c2e97de6b9b3dc645991c681e4d87",
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"value": 196002062688,
"index": 3,
"globalIndex": 53249492,
"creationHeight": 1709996,
"settlementHeight": 1709999,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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"name": "Test 1",
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"type": "EIP-004"
},
{
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},
{
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},
{
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},
{
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"name": "Lend Token QUACKS-2.0",
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"type": "EIP-004"
},
{
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},
{
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},
{
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"type": "EIP-004"
},
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},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"name": "Receipts",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
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