Transaction
ID: b4712eae05...66d6
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.21528227 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.21328227 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
7
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 101,727
Total coins transferred: 0.21728227 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000196 ERG
Raw Transaction Data
{
"id": "b4712eae05c8ae08e7bdbcf692eb4353f2a85c0a0ffbbee14ac241145dec66d6",
"blockId": "7bc5a00cfa8963d88f5309e62e20373fcac1188efed7fdd3b3ce91a11a4f2604",
"inclusionHeight": 1656076,
"timestamp": 1763129368748,
"index": 14,
"globalIndex": 9797527,
"numConfirmations": 101727,
"inputs": [
{
"boxId": "d325b46f693d1ff2a16f430adf4917b94f8e314b93613b64f22f5c54514cb1cc",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "71916701df394be722a0c33893fd81bdff723006bbe6ff3bea9c511d7afe1d27",
"outputTransactionId": "e3fe048bfe130c8470eabb3d0a8142f7ff6c11ac494a5d41135a114f41d786b0",
"outputIndex": 0,
"outputGlobalIndex": 51568743,
"outputCreatedAt": 1656070,
"outputSettledAt": 1656071,
"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(34,28,-26,120,-78,-97,0,-128,72,45,-85,-117,-49,91,32,-104,-9,-32,95,99,18,84,-3,-57,77,-122,-16,-90,105,49,-58,23)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(34,124,-30,-1,-34,114,-4,-13,112,-53,16,12,-77,83,127,70,-41,-65,-86,-81,-13,47,-12,76,-66,-16,100,-19,-75,-57,79,-70)\n22: 0\n23: 0\n24: -1\n25: Coll(-118,108,-22,38,-118,109,-36,-41,124,-35,-5,43,60,25,46,-111,109,-48,19,18,-127,5,-71,-87,-119,88,27,19,-100,125,-63,-3)\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: 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 (((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 )} else { placeholder[Boolean](71) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "12ff8ba8b24b2b454f377c31b7e7bc702eb37f7cb6377e589f0ca985d598685a",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1bdb7976409e73b916d8d7a680c491b80d0ea405de79724bbb66b3ff287b7d4e",
"index": 1,
"amount": 8999999990000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "216f292d15a735b50656747088ed649872d33a432130d62dfb94b7564521fc71",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 10000010,
"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": "3d814b9997880436156f31e8434fc55f7b88d267d0628e5bdd022c44a0fffa17",
"value": 215282270,
"index": 1,
"spendingProof": "06ee9f5c98fc8170bf9d0d45489ddce0fdd7650210e37f1d18cae8f91130e73dba26f759dacf4628ed61fcc6289852babeb8f84f54abf2cb",
"outputBlockId": "a7d2a80d918cf55befc91a1c49f3badf61a927c0e6a61284384801046cd13f8e",
"outputTransactionId": "56b1ef0ee288ad1c45f608b70c432f9115b686ef976637cccafbc4102edf920a",
"outputIndex": 0,
"outputGlobalIndex": 51568881,
"outputCreatedAt": 1656073,
"outputSettledAt": 1656074,
"ergoTree": "100208cd03199bd9865508d9e9c998e828d8313cb1bf83d43ac79c467d33f8d1223fde382c04878d1bea027300d191a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(199bd9,a14ea8,...)))\n1: -222020",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT > placeholder[Int](1))}",
"address": "26DFznnsFVBgMJVSDq7oiS4HA1WZF8qT88jKcygK3eYfCrC9udi8DhAty4DqS5SW3TKh9onTjmv",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110680bfd60680bfd606b2163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[7000000,7000000,1433,30,8,15000000]"
},
"R6": {
"serializedValue": "04ac94ca01",
"sigmaType": "SInt",
"renderedValue": "1656086"
},
"R8": {
"serializedValue": "0e20237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b",
"sigmaType": "Coll[SByte]",
"renderedValue": "237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "efcff8b42a03320940f9e374d398fe8827aa503d4b35b58e01bd60e43aa45b87",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "b1f2a7a5870401a728e11eec92b3eeabf4ab4b9f83a8c4bf4b94fba1ade1c2f1",
"outputTransactionId": "699e8cb994bcbde94cbab06b51969e00490f2d2ff57687cb81e84750903b9efe",
"outputIndex": 0,
"outputGlobalIndex": 51567022,
"outputCreatedAt": 1656029,
"outputSettledAt": 1656031,
"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: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 4\n37: 4\n38: 5\n39: 5\n40: 6\n41: 6\n42: 7\n43: 7\n44: 8\n45: 8\n46: 0\n47: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n val coll29 = SELF.R4[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && (\n (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get)\n )\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple30: (BigInt, Int)) =>\n val i32 = tuple30._2\n val l33 = coll13(i32)\n val bi34 = tuple30._1\n if (l33 > placeholder[Long](25)) {(\n val box35 = coll12(i32)\n val bi36 = l33.toBigInt\n val bi37 = box35.R4[Int].get.toBigInt\n val bi38 = box35.tokens(placeholder[Int](26))._2.toBigInt\n bi34 + box35.value.toBigInt * bi36 * bi37 / bi38 + bi38 * bi15 / bi16 * bi17 + bi36 * bi37 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i32).toBigInt / bi18\n )} else { bi34 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple30: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple32: (Coll[Byte], Long)) => tuple32 == tuple30 }) }\n )\n ) && coll26.indices.forall({(i30: Int) =>\n val coll32 = coll12(i30).tokens\n (coll26(i30) == coll32(placeholder[Int](30))._1) && (coll25(i30) == coll32(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l30: Long) => l30 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (coll29(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll29(placeholder[Int](36)) == coll21(placeholder[Int](37)))\n ) && (coll29(placeholder[Int](38)) == coll21(placeholder[Int](39)))\n ) && (coll29(placeholder[Int](40)) == coll21(placeholder[Int](41)))\n ) && (coll29(placeholder[Int](42)) == coll21(placeholder[Int](43)))\n ) && (coll29(placeholder[Int](44)) == coll21(placeholder[Int](45)))\n ) && (coll8(placeholder[Int](46))._1 == coll2(placeholder[Int](47)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110980a0b787e90500003c8087a70e1000641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,0,0,30,15000000,8,0,50,15]"
},
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
}
}
}
],
"dataInputs": [
{
"boxId": "81e7871558de8df15e11e5380d46a14c275bf96e67530c9a46ecb63d87f269db",
"value": 1000000,
"index": 0,
"outputBlockId": "b1f2a7a5870401a728e11eec92b3eeabf4ab4b9f83a8c4bf4b94fba1ade1c2f1",
"outputTransactionId": "a3a096b688b8400293671a2b442ec84f921deca6bfc8c2eddd1f5a7f892f08ad",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05b693ca01",
"sigmaType": "SLong",
"renderedValue": "1656027"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "4018a3b2fbb42df382fc2c02e103c74c4e2e11b257051df5ee6623cd64ecb4b2",
"value": 1000000,
"index": 1,
"outputBlockId": "0047479d29b8556b6cabfddc20fb3b05ca4e086f128b21b7e6c052e4bc59d558",
"outputTransactionId": "20618489aca0082fff6d0b5ebbacb394fe14785fa6a5c1c149014491b867e30d",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "cbc464a433f592337d9eccc0f75399a4efde7c3da527c507df8d52bd3d534e7f",
"value": 17115982334496,
"index": 2,
"outputBlockId": "0a37f6f6681e49e59f1fa0dff846d55c3b07f42586c11be221fde96d8665f838",
"outputTransactionId": "baafe3d93d6eb80121be78443d7b4d0defd22e627c6009cb430eef126f49a920",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "f250f278ff9b901c815ca77622602a59273e76f8b52aa6e3e46a0db36ffcb67f",
"transactionId": "b4712eae05c8ae08e7bdbcf692eb4353f2a85c0a0ffbbee14ac241145dec66d6",
"blockId": "7bc5a00cfa8963d88f5309e62e20373fcac1188efed7fdd3b3ce91a11a4f2604",
"value": 1000000,
"index": 0,
"globalIndex": 51568972,
"creationHeight": 1656075,
"settlementHeight": 1656076,
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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(34,28,-26,120,-78,-97,0,-128,72,45,-85,-117,-49,91,32,-104,-9,-32,95,99,18,84,-3,-57,77,-122,-16,-90,105,49,-58,23)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(34,124,-30,-1,-34,114,-4,-13,112,-53,16,12,-77,83,127,70,-41,-65,-86,-81,-13,47,-12,76,-66,-16,100,-19,-75,-57,79,-70)\n22: 0\n23: 0\n24: -1\n25: Coll(-118,108,-22,38,-118,109,-36,-41,124,-35,-5,43,60,25,46,-111,109,-48,19,18,-127,5,-71,-87,-119,88,27,19,-100,125,-63,-3)\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: 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 (((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 )} else { placeholder[Boolean](71) }\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 8999999990000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 8999999993000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
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"index": 3,
"amount": 3000010,
"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": "6ea69a088ec30b3ed965a1b5eaab5802697ee2784005e8de3718b23f6351edb8",
"mainChain": true
},
{
"boxId": "6ac6cfce3288c5e87adc97b90a5061fc0f0086c9081359821e43484613da5a42",
"transactionId": "b4712eae05c8ae08e7bdbcf692eb4353f2a85c0a0ffbbee14ac241145dec66d6",
"blockId": "7bc5a00cfa8963d88f5309e62e20373fcac1188efed7fdd3b3ce91a11a4f2604",
"value": 213282270,
"index": 1,
"globalIndex": 51568973,
"creationHeight": 1656075,
"settlementHeight": 1656076,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-7,20,-58,59,-31,47,15,46,-51,20,58,-61,-11,-72,-35,113,68,-5,-86,-125,31,-112,20,-18,-60,-86,-25,42,-15,117,86,75)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(34,28,-26,120,-78,-97,0,-128,72,45,-85,-117,-49,91,32,-104,-9,-32,95,99,18,84,-3,-57,77,-122,-16,-90,105,49,-58,23)\n11: 0\n12: 1\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 1000\n22: 6\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 1\n30: 2\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0\n36: 1\n37: 10000000\n38: 1\n39: 1000000\n40: 1000\n41: 1000\n42: 1000000\n43: 10000000\n44: 5\n45: 1000000\n46: 10000000\n47: 100000000\n48: 100000000\n49: 0\n50: 0\n51: 0\n52: 100000000\n53: 0\n54: 1\n55: 3\n56: 2\n57: 3\n58: 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 coll5 = SELF.R9[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3))\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val coll12 = SELF.R8[Coll[Byte]].get\n val l13 = SELF.R6[Long].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](6))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](7)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n val coll26 = placeholder[Coll[Byte]](13)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](15))\n val l32 = coll5(placeholder[Int](16))\n val bool33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size == placeholder[Int](17)\n val l34 = HEIGHT.toLong\n val l35 = coll5(placeholder[Int](18)) + coll5(placeholder[Int](19))\n val l36 = coll5(placeholder[Int](20))\n val bi37 = bi24 * bi22 / bi21\n val bi38 = if (l34 < l35) {(\n val i38 = placeholder[Int](21)\n bi37 * coll5(placeholder[Int](22)).toBigInt + i38.toBigInt / i38.toBigInt\n )} else { bi37 }\n val box39 = coll28.getOrElse(placeholder[Int](23), SELF)\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](24))\n val func42 = {(box42: Box) =>\n val coll44 = box42.propositionBytes\n val coll45 = blake2b256(coll44)\n val bool46 = coll45 == coll4\n bool46\n }\n val coll43 = OUTPUTS.filter(func42)\n val box44 = coll43.getOrElse(placeholder[Int](25), SELF)\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](26))\n if (coll2.size > placeholder[Int](27)) {(\n val func47 = func15\n val coll48 = coll16\n val func49 = func27\n val coll50 = coll28\n val box51 = coll2.getOrElse(placeholder[Int](28), SELF)\n val coll52 = box51.R4[Coll[Long]].get\n val l53 = coll52(placeholder[Int](29))\n val l54 = coll52(placeholder[Int](30))\n if (coll48.size > placeholder[Int](31)) {(\n val box55 = box17\n val l56 = box55.value\n val coll57 = coll18\n val tuple58 = tuple19\n val coll59 = box55.R8[Coll[Byte]].get\n val bool60 = (\n (\n ((((l56 >= l6) && (tuple58._1 == coll9)) && (box55.R4[Coll[Byte]].get == coll10)) && (box55.R5[GroupElement].get == ge11)) && (\n box55.R7[Coll[Byte]].get == coll1\n )\n ) && (coll12 == coll59)\n ) && (\n OUTPUTS.map({(box60: Box) => box60.id }).indexOf(box55.id, placeholder[Int](32)) == box51.R9[Coll[Int]].get(placeholder[Int](33)) - placeholder[Int](34)\n )\n val l61 = box55.R6[Long].get\n val coll62 = box55.R9[Coll[Long]].get\n val bool63 = coll62 == coll5\n if (coll50.size > placeholder[Int](35)) {(\n val bi64 = l20.toBigInt\n val box65 = box29\n val coll66 = coll30\n val tuple67 = coll66(placeholder[Int](36))\n val tuple68 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((bool60 && (l56 >= l14)) && (l56 <= l14 + placeholder[Long](37))) && (bi64 >= bi24 - tuple67._2.toBigInt * bi21 / bi22)) && (\n coll57.slice(placeholder[Int](38), coll57.size) == coll25\n )\n ) && (l61 == l13)\n ) && bool63\n ) && (((box65.value >= placeholder[Long](39)) && (tuple68._1 == coll9)) && (tuple67._1 == coll26))\n ) && (tuple68._2 == l23 - l20)\n ) && (l53.toBigInt >= bi64 * bi22 / bi21 * l32.toBigInt / placeholder[Int](40).toBigInt)\n ) && bool33\n ) && (l34 >= l35)\n )\n )} else {(\n val bi64 = l53.toBigInt\n val i65 = placeholder[Int](41)\n val bi66 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i65.toBigInt\n val bool67 = bi64 >= bi66\n sigmaProp(\n (\n (\n (\n ((((bool60 && (l56 >= l14 - placeholder[Long](42))) && (l56 <= l14 + placeholder[Long](43))) && (coll57 == coll7)) && (l61 > l34 + l36)) && (\n l61 < l34 + l36 + placeholder[Long](44)\n )\n ) && (bi64 < bi66)\n ) && bool63\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (((bool60 && (l56 >= l14 - placeholder[Long](45))) && (l56 <= l14 + placeholder[Long](46))) && (coll57 == coll7)) && (\n l13 != placeholder[Long](47)\n )\n ) && (l61 == placeholder[Long](48))\n ) && bool67\n ) && bool63\n ) && bool33\n ) || sigmaProp(INPUTS.filter({(box68: Box) =>\n val coll70 = box68.tokens\n (coll70.size > placeholder[Int](49)) && (coll70(placeholder[Int](50))._1 == coll59)\n }).size > placeholder[Int](51)) || proveDlog(ge11) && sigmaProp(\n (\n (\n (\n ((((bool60 && (bi64 >= bi38 * l54.toBigInt / i65.toBigInt)) && (tuple58 == tuple8)) && (l61 == placeholder[Long](52))) && bool67) && (\n (coll62(placeholder[Int](53)) == l54) && (coll62(placeholder[Int](54)) == coll52(placeholder[Int](55)))\n )\n ) && bool33\n ) && (coll62(placeholder[Int](56)) == l36)\n ) && (coll62(placeholder[Int](57)) == l6)\n )\n )}\n )} else {(\n val bi55 = l53.toBigInt\n val i56 = placeholder[Int](58)\n val box57 = box39\n val coll58 = coll40\n val tuple59 = tuple41\n val tuple60 = coll58(placeholder[Int](59))\n val coll61 = SELF.id\n val bi62 = bi55 - bi38\n val bi63 = coll5(placeholder[Int](60)).toBigInt\n val bi64 = bi62 * i56.toBigInt - bi63 / i56.toBigInt\n val l65 = tuple60._2\n sigmaProp(\n (\n (\n (\n (\n (((bi55 <= bi38 * l32.toBigInt / i56.toBigInt) && (l34 >= l13)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](61))) && (\n (((box57.value >= placeholder[Long](62)) && (tuple59._1 == coll9)) && (tuple60._1 == coll26)) && (box57.id != coll61)\n )\n ) && (tuple59._2 == l23)\n ) && if (bi64 < placeholder[BigInt](63)) { l65.toBigInt >= bi55 } else {(\n val box66 = OUTPUTS.filter({(box66: Box) => box66.propositionBytes == coll10 }).getOrElse(placeholder[Int](64), SELF)\n val tuple67 = box66.tokens(placeholder[Int](65))\n (((l65.toBigInt >= bi38 + bi62 * bi63 / i56.toBigInt) && (tuple67._2.toBigInt >= bi64)) && (tuple67._1 == coll26)) && (box66.id != coll61)\n )}\n ) && (\n INPUTS.map({(box66: Box) => box66.id }).indexOf(coll61, placeholder[Int](66)) == box51.R9[Coll[Int]].get(placeholder[Int](67)) * placeholder[Int](\n 68\n ) - placeholder[Int](69)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func47 = func42\n val coll48 = coll43\n val box49 = box44\n val coll50 = coll45\n val tuple51 = tuple46\n val tuple52 = coll50(placeholder[Int](70))\n sigmaProp(\n (\n (\n (((((box49.value >= placeholder[Long](71)) && (tuple51._1 == coll9)) && (tuple52._1 == coll26)) && (box49.id != SELF.id)) && (tuple51._2 == l23)) && (\n tuple52._2.toBigInt > bi38\n )\n ) && if (INPUTS.filter({(box53: Box) =>\n val coll55 = box53.tokens\n (coll55.size > placeholder[Int](72)) && (coll55(placeholder[Int](73))._1 == coll12)\n }).size > placeholder[Int](74)) { placeholder[Boolean](75) } else {(\n val box53 = OUTPUTS.filter({(box53: Box) => box53.propositionBytes == coll10 }).getOrElse(placeholder[Int](76), SELF)\n ((box53.value >= l14 - placeholder[Long](77)) && (box53.tokens == coll25)) && (box53.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "216f292d15a735b50656747088ed649872d33a432130d62dfb94b7564521fc71",
"index": 0,
"amount": 7000000,
"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": "0e20237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b",
"sigmaType": "Coll[SByte]",
"renderedValue": "237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b"
},
"R9": {
"serializedValue": "1108b2163c108087a70e00a094ca01641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1433,30,8,15000000,0,1656080,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "b1d2f1ccaa0043914a51ec47dd5761a2948a8853dfd2128cbb968d9f8bba0d96",
"mainChain": true
},
{
"boxId": "4f029a93a56163b5361851a1d71efea1f2be64d7b6febf21c12a9b0caadd4c95",
"transactionId": "b4712eae05c8ae08e7bdbcf692eb4353f2a85c0a0ffbbee14ac241145dec66d6",
"blockId": "7bc5a00cfa8963d88f5309e62e20373fcac1188efed7fdd3b3ce91a11a4f2604",
"value": 1000000,
"index": 2,
"globalIndex": 51568974,
"creationHeight": 1656075,
"settlementHeight": 1656076,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 7000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e203d814b9997880436156f31e8434fc55f7b88d267d0628e5bdd022c44a0fffa17",
"sigmaType": "Coll[SByte]",
"renderedValue": "3d814b9997880436156f31e8434fc55f7b88d267d0628e5bdd022c44a0fffa17"
}
},
"spentTransactionId": "d8cc31dfabad4ddc0838ce2c90656b0e445d5c8e6e6cc0f730a9875702313ff3",
"mainChain": true
},
{
"boxId": "ed814af9a6afb46c0db9a265c1bb6bb681fc27d18270a375b1f05e9c8113c821",
"transactionId": "b4712eae05c8ae08e7bdbcf692eb4353f2a85c0a0ffbbee14ac241145dec66d6",
"blockId": "7bc5a00cfa8963d88f5309e62e20373fcac1188efed7fdd3b3ce91a11a4f2604",
"value": 1000000,
"index": 3,
"globalIndex": 51568975,
"creationHeight": 1656075,
"settlementHeight": 1656076,
"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: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 4\n37: 4\n38: 5\n39: 5\n40: 6\n41: 6\n42: 7\n43: 7\n44: 8\n45: 8\n46: 0\n47: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n val coll29 = SELF.R4[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && (\n (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get)\n )\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple30: (BigInt, Int)) =>\n val i32 = tuple30._2\n val l33 = coll13(i32)\n val bi34 = tuple30._1\n if (l33 > placeholder[Long](25)) {(\n val box35 = coll12(i32)\n val bi36 = l33.toBigInt\n val bi37 = box35.R4[Int].get.toBigInt\n val bi38 = box35.tokens(placeholder[Int](26))._2.toBigInt\n bi34 + box35.value.toBigInt * bi36 * bi37 / bi38 + bi38 * bi15 / bi16 * bi17 + bi36 * bi37 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i32).toBigInt / bi18\n )} else { bi34 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple30: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple32: (Coll[Byte], Long)) => tuple32 == tuple30 }) }\n )\n ) && coll26.indices.forall({(i30: Int) =>\n val coll32 = coll12(i30).tokens\n (coll26(i30) == coll32(placeholder[Int](30))._1) && (coll25(i30) == coll32(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l30: Long) => l30 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (coll29(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll29(placeholder[Int](36)) == coll21(placeholder[Int](37)))\n ) && (coll29(placeholder[Int](38)) == coll21(placeholder[Int](39)))\n ) && (coll29(placeholder[Int](40)) == coll21(placeholder[Int](41)))\n ) && (coll29(placeholder[Int](42)) == coll21(placeholder[Int](43)))\n ) && (coll29(placeholder[Int](44)) == coll21(placeholder[Int](45)))\n ) && (coll8(placeholder[Int](46))._1 == coll2(placeholder[Int](47)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "237c120ab259467b638b33b0c9b840659f0f40f75fb91c39903b42fd2e3b981b",
"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": "110980a0b787e905eef4c310b2163c8087a70e1000641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,17333559,1433,30,15000000,8,0,50,15]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "850f972f67b88a816e4f0397d4923dfce0f31acff8b9e098453e663a435dbb21",
"transactionId": "b4712eae05c8ae08e7bdbcf692eb4353f2a85c0a0ffbbee14ac241145dec66d6",
"blockId": "7bc5a00cfa8963d88f5309e62e20373fcac1188efed7fdd3b3ce91a11a4f2604",
"value": 1000000,
"index": 4,
"globalIndex": 51568976,
"creationHeight": 1656075,
"settlementHeight": 1656076,
"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": "7af51d5360da1f0a978453731c52d69aa543a868a9e7d1d9ac0a01c696d04de4",
"mainChain": true
}
],
"size": 5097,
"isUnconfirmed": false
}