Transaction
ID: bded4a8789...3f4e
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.405 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.403 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
4
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
Transaction Details
Confirmations: 58,038
Total coins transferred: 0.407 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000193 ERG
Raw Transaction Data
{
"id": "bded4a87892ed5d39560b7124e30cbd44bec17e9d1dea0f3865f1f377da13f4e",
"blockId": "f39b53e851a3e5a112e822e70399d96898983b936089f91298c8a2a97e9b255c",
"inclusionHeight": 1708654,
"timestamp": 1769484550957,
"index": 3,
"globalIndex": 10206948,
"numConfirmations": 58038,
"inputs": [
{
"boxId": "53ca07534c2dd8169d4d1746399fc06780054081d7f3227c46862fc6139a7fe9",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1f51ac5a300862aa6fcc16833bbeaf7f8f764137919ea7579af415078f9a4480",
"outputTransactionId": "d2203dca9b2c793d92ce94fb1b72d9ca4f26d0f2e144f324691a45ed6b4c1696",
"outputIndex": 0,
"outputGlobalIndex": 53210040,
"outputCreatedAt": 1708625,
"outputSettledAt": 1708629,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(48,-85,124,-89,-67,-81,3,102,12,39,-33,-83,37,91,-44,101,64,40,-52,-9,-75,-73,75,-19,11,-90,72,51,70,-2,-89,89)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(124,-120,102,-7,71,-61,86,-107,-69,-43,20,77,97,32,-127,37,-7,17,44,50,27,29,28,-38,21,-29,54,-75,-48,88,-72,-79)\n22: 0\n23: 0\n24: -1\n25: Coll(-80,-9,63,-62,19,96,33,69,84,62,15,66,76,123,117,43,-41,-123,-60,-39,100,-91,48,99,59,-6,-37,89,55,-86,-121,65)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "606d5dcb1b69b904d20699222cde7984cf87ea738c0ae4833440eb83f97f504c",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7bf08bec8c0edf15278f86fabcecd2f3ef0e25bb72f0797304a5f8ab230ee621",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5659fbce694a628da495c1aebd04ea068bfdee5dae3884439107af4bf047accd",
"index": 2,
"amount": 8999999996000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 8000010,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
}
},
{
"boxId": "ff7815c5cae6ddf7ee61978b794d41745084c6c6d7afcbf3bd3ecd945b952693",
"value": 405000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "730df688ac96f2cff841e2331f8be4e702d6e31769885388fc67bf023c1fa676",
"outputTransactionId": "319a307a54ce8cdbe57fd35e10b3c4b9f19ec89889094e3e9a1641e63c6b1ad7",
"outputIndex": 0,
"outputGlobalIndex": 53209626,
"outputCreatedAt": 1708612,
"outputSettledAt": 1708613,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 1\n4: 2\n5: 0\n6: Coll(-80,-9,63,-62,19,96,33,69,84,62,15,66,76,123,117,43,-41,-123,-60,-39,100,-91,48,99,59,-6,-37,89,55,-86,-121,65)\n7: 1000000\n8: 1000000\n9: 1\n10: 1\n11: Coll(86,89,-5,-50,105,74,98,-115,-92,-107,-63,-82,-67,4,-22,6,-117,-3,-18,93,-82,56,-124,67,-111,7,-81,75,-16,71,-84,-51)\n12: 0\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: 5\n15: 10\n16: 0\n17: 0\n18: Coll(96,109,93,-53,27,105,-71,4,-46,6,-103,34,44,-34,121,-124,-49,-121,-22,115,-116,10,-28,-125,52,64,-21,-125,-7,127,80,76)\n19: 0\n20: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val coll2 = SELF.R5[Coll[Long]].get\n val ge3 = SELF.R9[GroupElement].get\n sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n val box4 = OUTPUTS(placeholder[Int](1))\n (((box4.propositionBytes == coll1) && (SELF.value - box4.value <= placeholder[Long](2))) && (box4.R4[Coll[Byte]].get == SELF.id)) && (HEIGHT >= SELF.R6[Int].get)\n )} else {(\n val box4 = OUTPUTS(placeholder[Int](3))\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box4.tokens\n val tuple7 = coll6(placeholder[Int](5))\n (((((((((((blake2b256(box4.propositionBytes) == placeholder[Coll[Byte]](6)) && (box5.propositionBytes == coll1)) && ((box4.value == SELF.value - placeholder[Long](7) - placeholder[Long](8)) && (coll6.slice(placeholder[Int](9), coll6.size) == SELF.tokens))) && (((coll2(placeholder[Int](10)) >= tuple7._2) && (tuple7._1 == placeholder[Coll[Byte]](11))) && (box5.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)))) && (box4.R4[Coll[Byte]].get == coll1)) && (box4.R8[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box4.R9[Coll[Long]].get(placeholder[Int](14)) <= HEIGHT + placeholder[Int](15).toLong)) && (SELF.R8[Coll[Byte]].get == box4.R7[Coll[Byte]].get)) && (ge3 == box4.R5[GroupElement].get)) && (INPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))) && (box5.tokens(placeholder[Int](19))._2 == coll2(placeholder[Int](20)))) && (box5.R4[Coll[Byte]].get == SELF.id)\n )}) || proveDlog(ge3)\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110680a4e80380a4e80392163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4000000,4000000,1417,30,8,15000000]"
},
"R6": {
"serializedValue": "04a2c9d001",
"sigmaType": "SInt",
"renderedValue": "1708625"
},
"R8": {
"serializedValue": "0e2013d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b",
"sigmaType": "Coll[SByte]",
"renderedValue": "13d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "aa993de98270bbed97666c46cb5d9f848f6038ab60d51c317753be27fd0f0e91",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "1f51ac5a300862aa6fcc16833bbeaf7f8f764137919ea7579af415078f9a4480",
"outputTransactionId": "d2203dca9b2c793d92ce94fb1b72d9ca4f26d0f2e144f324691a45ed6b4c1696",
"outputIndex": 3,
"outputGlobalIndex": 53210043,
"outputCreatedAt": 1708625,
"outputSettledAt": 1708629,
"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(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 0\n21: 0\n22: 4\n23: 4\n24: 5\n25: 5\n26: 6\n27: 6\n28: 8\n29: 8\n30: 7\n31: 7\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",
"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 i14 = coll11(placeholder[Int](5))\n val box15 = if (i14 > placeholder[Int](6)) { OUTPUTS(i14 - placeholder[Int](7)) } else { INPUTS(i14 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi16 = box15.value.toBigInt\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 = placeholder[BigInt](14)\n val bi23 = bi16 + coll17.zip(coll18).fold(bi19, {(tuple23: (BigInt, (Box, Long))) =>\n val tuple25 = tuple23._2\n val l26 = tuple25._2\n val box27 = tuple25._1\n val bi28 = tuple23._1\n if (l26 > placeholder[Long](15)) {(\n val bi29 = l26.toBigInt\n val bi30 = box27.R4[Int].get.toBigInt\n val bi31 = box27.tokens(placeholder[Int](16))._2.toBigInt\n bi28 + box27.value.toBigInt * bi29 * bi30 / bi31 + bi31 * bi20 / bi21 * bi22 + bi29 * bi30\n )} else { bi28 }\n }) - placeholder[Int](17).toBigInt\n val bi24 = box13.R4[Int].get.toBigInt\n val bi25 = box13.value.toBigInt\n val l26 = placeholder[Long](18)\n val coll27 = box15.tokens\n val coll28 = box2.R8[Coll[Coll[Byte]]].get\n val coll29 = coll7.slice(placeholder[Int](19), coll7.size)\n val i30 = coll17.size\n val i31 = 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](20)) == placeholder[Long](21))\n ) && (coll5(placeholder[Int](22)) == coll4(placeholder[Int](23)))\n ) && (coll5(placeholder[Int](24)) == coll4(placeholder[Int](25)))\n ) && (coll5(placeholder[Int](26)) == coll4(placeholder[Int](27)))\n ) && (coll5(placeholder[Int](28)) == coll4(placeholder[Int](29)))\n ) && (coll5(placeholder[Int](30)) == coll4(placeholder[Int](31)))\n ) && (coll6 == coll7)\n ) && (coll8 == coll9)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll7 == coll6) && (coll9 == coll8))) && (\n box13.tokens(placeholder[Int](33))._2.toBigInt * bi23 * bi24 / bi25 + bi25 * bi20 / bi21 * bi22 + bi23 * bi24 == 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 ) && (bi16 * l26.toBigInt * coll9(placeholder[Int](39)).toBigInt / bi23 + coll18.indices.fold(bi19, {(tuple32: (BigInt, Int)) =>\n val i34 = tuple32._2\n val l35 = coll18(i34)\n val bi36 = tuple32._1\n if (l35 > placeholder[Long](40)) {(\n val box37 = coll17(i34)\n val bi38 = l35.toBigInt\n val bi39 = box37.R4[Int].get.toBigInt\n val bi40 = box37.tokens(placeholder[Int](41))._2.toBigInt\n bi36 + box37.value.toBigInt * bi38 * bi39 / bi40 + bi40 * bi20 / bi21 * bi22 + bi38 * bi39 * l26.toBigInt * coll9.slice(placeholder[Int](42), coll9.size)(i34).toBigInt / bi23\n )} else { bi36 }\n }) / l26.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll27.slice(placeholder[Int](45), coll27.size).forall(\n {(tuple32: (Coll[Byte], Long)) => coll28.zip(coll18).exists({(tuple34: (Coll[Byte], Long)) => tuple34 == tuple32 }) }\n )\n ) && coll29.indices.forall({(i32: Int) =>\n val coll34 = coll17(i32).tokens\n (coll29(i32) == coll34(placeholder[Int](46))._1) && (coll28(i32) == coll34(placeholder[Int](47))._1)\n })\n ) && ((i30 == i31) && (i30 == coll29.size))\n ) && (i31 == coll28.size)\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "13d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b",
"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]"
}
}
}
],
"dataInputs": [
{
"boxId": "b3748b31543c7388d96a216862b32901e40e41936dc520fc0689a071f5730a53",
"value": 1000000,
"index": 0,
"outputBlockId": "b503cd3f6e40c56737e7b6bfe0edbf52bffba6f90cb5727cdbecbfc240c5b409",
"outputTransactionId": "5d2a6faa289f2daa4f06d242f9544cbd6ee3eb7b8e29428ee08e0c5616e41705",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05eac8d001",
"sigmaType": "SLong",
"renderedValue": "1708597"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "86df722905958e4e8ecb2e5b701f3db2b6018ae0fab03b76e06e3242ae13961d",
"value": 1000000,
"index": 1,
"outputBlockId": "b503cd3f6e40c56737e7b6bfe0edbf52bffba6f90cb5727cdbecbfc240c5b409",
"outputTransactionId": "200ff53bc08bccce371bd7b7703b27ba25fa961381858bcaaf5fb681b115b249",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012013d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[13d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "e34456c6ae2bbff1a5d58595991014dda5b1bafb45a4a1ebdb0cba37dcf3ab45",
"value": 18194281586602,
"index": 2,
"outputBlockId": "c90dfc34de700ddfaffdf6885de5c89f82730fb12df249c9be404fb541de8bfb",
"outputTransactionId": "41f1dad99dea9eb12529ff4f6e572d15e152edb4eef7ea96bf9787533dd3cf9f",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "0a20b4b2bcb8cf0b1266b4c53606fc4e431f9b9e492be589c063d46b816f419d",
"transactionId": "bded4a87892ed5d39560b7124e30cbd44bec17e9d1dea0f3865f1f377da13f4e",
"blockId": "f39b53e851a3e5a112e822e70399d96898983b936089f91298c8a2a97e9b255c",
"value": 1000000,
"index": 0,
"globalIndex": 53210674,
"creationHeight": 1708650,
"settlementHeight": 1708654,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(48,-85,124,-89,-67,-81,3,102,12,39,-33,-83,37,91,-44,101,64,40,-52,-9,-75,-73,75,-19,11,-90,72,51,70,-2,-89,89)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(124,-120,102,-7,71,-61,86,-107,-69,-43,20,77,97,32,-127,37,-7,17,44,50,27,29,28,-38,21,-29,54,-75,-48,88,-72,-79)\n22: 0\n23: 0\n24: -1\n25: Coll(-80,-9,63,-62,19,96,33,69,84,62,15,66,76,123,117,43,-41,-123,-60,-39,100,-91,48,99,59,-6,-37,89,55,-86,-121,65)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "606d5dcb1b69b904d20699222cde7984cf87ea738c0ae4833440eb83f97f504c",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "7bf08bec8c0edf15278f86fabcecd2f3ef0e25bb72f0797304a5f8ab230ee621",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5659fbce694a628da495c1aebd04ea068bfdee5dae3884439107af4bf047accd",
"index": 2,
"amount": 8999999992000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 4000010,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "a71f4e27f3767a56370cd6a4a41680f4072a43c89458e2692c45538350e7a29d",
"transactionId": "bded4a87892ed5d39560b7124e30cbd44bec17e9d1dea0f3865f1f377da13f4e",
"blockId": "f39b53e851a3e5a112e822e70399d96898983b936089f91298c8a2a97e9b255c",
"value": 403000000,
"index": 1,
"globalIndex": 53210675,
"creationHeight": 1708650,
"settlementHeight": 1708654,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-116,126,123,100,-57,125,108,-126,75,-106,-117,-25,-26,-44,-122,-97,-52,-95,16,32,-92,-27,-98,112,11,124,-115,-45,63,-18,40,-1)\n3: 0\n4: 0\n5: 0\n6: CBigInt(10000000000000000)\n7: 0\n8: 0\n9: Coll(48,-85,124,-89,-67,-81,3,102,12,39,-33,-83,37,91,-44,101,64,40,-52,-9,-75,-73,75,-19,11,-90,72,51,70,-2,-89,89)\n10: 0\n11: 1\n12: 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)\n13: 0\n14: 0\n15: 1\n16: 5\n17: 7\n18: 2\n19: 0\n20: 32\n21: 32\n22: 40\n23: 1000\n24: 6\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 0\n32: 0\n33: 0\n34: 1\n35: 3\n36: 0\n37: 8\n38: 0\n39: 8\n40: 0\n41: 1\n42: 10000000\n43: 1\n44: 1000000\n45: 1000\n46: 1000\n47: 1000000\n48: 10000000\n49: 5\n50: 1000000\n51: 10000000\n52: 100000000\n53: 100000000\n54: true\n55: 0\n56: 0\n57: 0\n58: 1000\n59: 1\n60: 1\n61: 980000\n62: 1000000\n63: CBigInt(1)\n64: 0\n65: 0\n66: 0\n67: 0\n68: -1\n69: 1\n70: 1\n71: 2000000\n72: 0\n73: 0\n74: 0\n75: true\n76: 0\n77: 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 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(i5, SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](5))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](6)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](7)) && (coll24(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9))\n })(placeholder[Int](10)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](11), coll7.size)\n val coll26 = placeholder[Coll[Byte]](12)\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(i5, SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](13))\n val l32 = coll6(placeholder[Int](14))\n val i33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size\n val bool34 = i33 == placeholder[Int](15)\n val l35 = HEIGHT.toLong\n val l36 = coll6(placeholder[Int](16)) + coll6(placeholder[Int](17))\n val l37 = coll6(placeholder[Int](18))\n val coll38 = coll13.slice(placeholder[Int](19), placeholder[Int](20))\n val coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l35 < l36) {(\n val i41 = placeholder[Int](23)\n bi40 * coll6(placeholder[Int](24)).toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](25), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](26))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](27), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](28))\n if (coll2.size > placeholder[Int](29)) {(\n val func50 = func15\n val coll51 = coll16\n val i52 = coll51.size\n val func53 = func27\n val coll54 = coll28\n val box55 = coll2.getOrElse(i5, SELF)\n val l56 = box55.R4[Coll[Long]].get(placeholder[Int](30))\n if (i52 > placeholder[Int](31)) {(\n val box57 = box17\n val bool58 = OUTPUTS.map({(box58: Box) => box58.id }).indexOf(box57.id, placeholder[Int](32)) == box55.R9[Coll[Int]].get(\n placeholder[Int](33)\n ) - placeholder[Int](34)\n val l59 = box57.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box57.R4[Coll[Byte]].get\n val ge63 = box57.R5[GroupElement].get\n val coll64 = box57.R7[Coll[Byte]].get\n val bool65 = ((((l59 >= coll6(placeholder[Int](35))) && (tuple61._1 == coll9)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)\n val coll66 = box57.R8[Coll[Byte]].get\n val l67 = box57.R6[Long].get\n val coll68 = box57.R9[Coll[Long]].get\n val bool69 = coll68.slice(placeholder[Int](36), placeholder[Int](37)) == coll6.slice(placeholder[Int](38), placeholder[Int](39))\n if (coll54.size > placeholder[Int](40)) {(\n val bi70 = l20.toBigInt\n val box71 = box29\n val coll72 = coll30\n val tuple73 = coll72(placeholder[Int](41))\n val tuple74 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](42))) && (\n bi70 >= bi24 - tuple73._2.toBigInt * bi21 / bi22\n )\n ) && (coll60.slice(placeholder[Int](43), coll60.size) == coll25)\n ) && (l67 == l12)\n ) && bool69\n ) && (((box71.value >= placeholder[Long](44)) && (tuple74._1 == coll9)) && (tuple73._1 == coll26))\n ) && (tuple74._2 == l23 - l20)\n ) && (l56.toBigInt >= bi70 * bi22 / bi21 * l32.toBigInt / placeholder[Int](45).toBigInt)\n ) && bool34\n ) && (l35 >= l36)\n )\n )} else {(\n val bi70 = l56.toBigInt\n val bi71 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / placeholder[Int](46).toBigInt\n val prop72 = proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](47))) && (l59 <= l14 + placeholder[Long](48))) && (\n coll60 == coll7\n )\n ) && (l67 > l35 + l37)\n ) && (l67 < l35 + l37 + placeholder[Long](49))\n ) && (bi70 < bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](50))) && (l59 <= l14 + placeholder[Long](51))) && (\n coll60 == coll7\n )\n ) && (l12 != placeholder[Long](52))\n ) && (l67 == placeholder[Long](53))\n ) && (bi70 >= bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(placeholder[Boolean](54)) || prop72 && sigmaProp(l59 != l14) || sigmaProp(INPUTS.filter({(box73: Box) =>\n val coll75 = box73.tokens\n ((coll75.size > placeholder[Int](55)) && (coll75(placeholder[Int](56))._1 == coll38)) && (box73.R9[Coll[Coll[Byte]]].get(i5) == coll39)\n }).size > placeholder[Int](57)) || prop72 && sigmaProp(\n ((((((bool65 && (l59 == l14)) && (coll60 == coll7)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)) && (coll68 == coll6)) && (\n i33 == i52\n )\n )\n )}\n )} else {(\n val bi57 = l56.toBigInt\n val i58 = placeholder[Int](58)\n val box59 = box42\n val coll60 = coll43\n val tuple61 = tuple44\n val tuple62 = coll60(placeholder[Int](59))\n val coll63 = SELF.id\n val bi64 = bi57 - bi41\n val bi65 = coll6(placeholder[Int](60)).toBigInt\n val bi66 = bi64 * i58.toBigInt - bi65 / i58.toBigInt\n val l67 = tuple62._2\n sigmaProp(\n (\n (\n (\n (\n (((bi57 <= bi41 * l32.toBigInt / i58.toBigInt) && (l35 >= l12)) || (l35 > SELF.creationInfo._1.toLong + placeholder[Long](61))) && (\n (((box59.value >= placeholder[Long](62)) && (tuple61._1 == coll9)) && (tuple62._1 == coll26)) && (box59.id != coll63)\n )\n ) && (tuple61._2 == l23)\n ) && if (bi66 < placeholder[BigInt](63)) { l67.toBigInt >= bi57 } else {(\n val box68 = OUTPUTS.filter({(box68: Box) => box68.propositionBytes == coll10 }).getOrElse(placeholder[Int](64), SELF)\n val tuple69 = box68.tokens(placeholder[Int](65))\n (((l67.toBigInt >= bi41 + bi64 * bi65 / i58.toBigInt) && (tuple69._2.toBigInt >= bi66)) && (tuple69._1 == coll26)) && (box68.id != coll63)\n )}\n ) && (\n INPUTS.map({(box68: Box) => box68.id }).indexOf(coll63, placeholder[Int](66)) == box55.R9[Coll[Int]].get(placeholder[Int](67)) * placeholder[Int](\n 68\n ) - placeholder[Int](69)\n )\n ) && bool34\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](70))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](71)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n ((coll58.size > placeholder[Int](72)) && (coll58(placeholder[Int](73))._1 == coll38)) && (box56.R9[Coll[Byte]].get == coll39)\n }).size > placeholder[Int](74)) { placeholder[Boolean](75) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](76), SELF)\n ((box56.value >= l14 - placeholder[Long](77)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool34\n )\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
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"R6": {
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"sigmaType": "SLong",
"renderedValue": "100000000"
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"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "13d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b"
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1417,30,8,15000000,0,1708655,50,15]"
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"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
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"mainChain": true
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{
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"transactionId": "bded4a87892ed5d39560b7124e30cbd44bec17e9d1dea0f3865f1f377da13f4e",
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"value": 1000000,
"index": 2,
"globalIndex": 53210676,
"creationHeight": 1708650,
"settlementHeight": 1708654,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
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"index": 0,
"amount": 4000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
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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(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 0\n21: 0\n22: 4\n23: 4\n24: 5\n25: 5\n26: 6\n27: 6\n28: 8\n29: 8\n30: 7\n31: 7\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",
"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 i14 = coll11(placeholder[Int](5))\n val box15 = if (i14 > placeholder[Int](6)) { OUTPUTS(i14 - placeholder[Int](7)) } else { INPUTS(i14 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi16 = box15.value.toBigInt\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 = placeholder[BigInt](14)\n val bi23 = bi16 + coll17.zip(coll18).fold(bi19, {(tuple23: (BigInt, (Box, Long))) =>\n val tuple25 = tuple23._2\n val l26 = tuple25._2\n val box27 = tuple25._1\n val bi28 = tuple23._1\n if (l26 > placeholder[Long](15)) {(\n val bi29 = l26.toBigInt\n val bi30 = box27.R4[Int].get.toBigInt\n val bi31 = box27.tokens(placeholder[Int](16))._2.toBigInt\n bi28 + box27.value.toBigInt * bi29 * bi30 / bi31 + bi31 * bi20 / bi21 * bi22 + bi29 * bi30\n )} else { bi28 }\n }) - placeholder[Int](17).toBigInt\n val bi24 = box13.R4[Int].get.toBigInt\n val bi25 = box13.value.toBigInt\n val l26 = placeholder[Long](18)\n val coll27 = box15.tokens\n val coll28 = box2.R8[Coll[Coll[Byte]]].get\n val coll29 = coll7.slice(placeholder[Int](19), coll7.size)\n val i30 = coll17.size\n val i31 = 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](20)) == placeholder[Long](21))\n ) && (coll5(placeholder[Int](22)) == coll4(placeholder[Int](23)))\n ) && (coll5(placeholder[Int](24)) == coll4(placeholder[Int](25)))\n ) && (coll5(placeholder[Int](26)) == coll4(placeholder[Int](27)))\n ) && (coll5(placeholder[Int](28)) == coll4(placeholder[Int](29)))\n ) && (coll5(placeholder[Int](30)) == coll4(placeholder[Int](31)))\n ) && (coll6 == coll7)\n ) && (coll8 == coll9)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll7 == coll6) && (coll9 == coll8))) && (\n box13.tokens(placeholder[Int](33))._2.toBigInt * bi23 * bi24 / bi25 + bi25 * bi20 / bi21 * bi22 + bi23 * bi24 == 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 ) && (bi16 * l26.toBigInt * coll9(placeholder[Int](39)).toBigInt / bi23 + coll18.indices.fold(bi19, {(tuple32: (BigInt, Int)) =>\n val i34 = tuple32._2\n val l35 = coll18(i34)\n val bi36 = tuple32._1\n if (l35 > placeholder[Long](40)) {(\n val box37 = coll17(i34)\n val bi38 = l35.toBigInt\n val bi39 = box37.R4[Int].get.toBigInt\n val bi40 = box37.tokens(placeholder[Int](41))._2.toBigInt\n bi36 + box37.value.toBigInt * bi38 * bi39 / bi40 + bi40 * bi20 / bi21 * bi22 + bi38 * bi39 * l26.toBigInt * coll9.slice(placeholder[Int](42), coll9.size)(i34).toBigInt / bi23\n )} else { bi36 }\n }) / l26.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll27.slice(placeholder[Int](45), coll27.size).forall(\n {(tuple32: (Coll[Byte], Long)) => coll28.zip(coll18).exists({(tuple34: (Coll[Byte], Long)) => tuple34 == tuple32 }) }\n )\n ) && coll29.indices.forall({(i32: Int) =>\n val coll34 = coll17(i32).tokens\n (coll29(i32) == coll34(placeholder[Int](46))._1) && (coll28(i32) == coll34(placeholder[Int](47))._1)\n })\n ) && ((i30 == i31) && (i30 == coll29.size))\n ) && (i31 == coll28.size)\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "13d678450fed8cb5e9acf4111ddc82754e57e0902f07a2718aa32478d00c858b",
"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": "110a80a0b787e905aab4f01792163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,25038101,1417,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "2522eadae4e100dad42f08dfe8a275a85751ca62c062a933f78d1ac060c28381",
"mainChain": true
},
{
"boxId": "ccbf0222024c4cf23d1972e14c5f28072acd0837e7341c2a9659e19dd5805175",
"transactionId": "bded4a87892ed5d39560b7124e30cbd44bec17e9d1dea0f3865f1f377da13f4e",
"blockId": "f39b53e851a3e5a112e822e70399d96898983b936089f91298c8a2a97e9b255c",
"value": 1000000,
"index": 4,
"globalIndex": 53210678,
"creationHeight": 1708650,
"settlementHeight": 1708654,
"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": "2d52a02ef5b08cb0315ef807598fc6f9d45317abc1860ea920fafcc4b9cabeb5",
"mainChain": true
}
],
"size": 5173,
"isUnconfirmed": false
}