Transaction
ID: 9da2c7bd4d...d58d
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.205 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:
0.203 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: 72,088
Total coins transferred: 0.207 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000181 ERG
Raw Transaction Data
{
"id": "9da2c7bd4dc8683baac3f1ac031f38eaa888edcba227f7c49affd43a3ccdd58d",
"blockId": "af614a9c4f928deb425cf0df413eb39cb49444ad937733e1c7e9b9b0396997bf",
"inclusionHeight": 1705127,
"timestamp": 1769057616251,
"index": 2,
"globalIndex": 10182468,
"numConfirmations": 72088,
"inputs": [
{
"boxId": "ff16ba03e75b6d20c095655ed3534959376f355efe64c56a900146831d7626ba",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "aa4f5c2e7d39e7ce1de62964e797f81675fb0a412ea9d4c732ab2bf4a2823a66",
"outputTransactionId": "3acb92581f71c8e00d7520c3c320a23a702df97ae35e7e4f3b27a4f543855f91",
"outputIndex": 0,
"outputGlobalIndex": 53116909,
"outputCreatedAt": 1705122,
"outputSettledAt": 1705123,
"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(-98,-124,56,-56,120,86,127,-98,-100,123,-74,38,-123,-55,-62,28,-24,-77,38,8,-95,82,4,4,32,-83,-48,33,-89,-73,106,-37)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-96,43,-97,-2,-98,-110,79,-74,-16,-111,-12,28,-44,-94,-67,12,-112,70,-34,16,-23,-62,33,34,-55,16,-33,-90,83,19,-127,57)\n22: 0\n23: 0\n24: -1\n25: Coll(-14,1,-110,-12,-42,-35,-83,-86,-121,-45,-121,-2,-64,-41,-50,84,76,-106,52,-14,48,6,123,96,32,-106,72,-32,121,-44,-16,-17)\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": "18210c515e244688c0d740ccb35941b33c364c26e5a7193ccf31fa380a62971b",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4c754ce6e9155c3cd29cb4de01529cabf58c464fb892df90b3b399f7926d7082",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "9786b04d083507df907e4d790e5b48c34c8a57567b41f0ff8cec555ea8340624",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12000010,
"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": "48660a65bc7a9e19741b87679a2dada4b5727b95092078e8741318d921d1d7be",
"value": 205000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "67e0a4e68e26423f0058836e8a6961e9e6b733c2cdc11f7e4463efc2e4032f29",
"outputTransactionId": "ae57244f197138398b0cae74c7cdfc33e82b2e2041a479c039647595fe87a697",
"outputIndex": 0,
"outputGlobalIndex": 53116932,
"outputCreatedAt": 1705124,
"outputSettledAt": 1705125,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 1\n4: 2\n5: 0\n6: Coll(-14,1,-110,-12,-42,-35,-83,-86,-121,-45,-121,-2,-64,-41,-50,84,76,-106,52,-14,48,6,123,96,32,-106,72,-32,121,-44,-16,-17)\n7: 1000000\n8: 1000000\n9: 1\n10: 1\n11: Coll(-105,-122,-80,77,8,53,7,-33,-112,126,77,121,14,91,72,-61,76,-118,87,86,123,65,-16,-1,-116,-20,85,94,-88,52,6,36)\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(24,33,12,81,94,36,70,-120,-64,-41,64,-52,-77,89,65,-77,60,54,76,38,-27,-89,25,60,-49,49,-6,56,10,98,-105,27)\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": "110680a4e80380a4e803b6163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4000000,4000000,1435,30,8,15000000]"
},
"R6": {
"serializedValue": "04e292d001",
"sigmaType": "SInt",
"renderedValue": "1705137"
},
"R8": {
"serializedValue": "0e20a3ad37755a0c670600412d77a336d02283ec6a79fd91349527a026a6eba586cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "a3ad37755a0c670600412d77a336d02283ec6a79fd91349527a026a6eba586cb"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "4dc648e7129519541808f4243194676b9f072ce45e70f5a6bcf100d7a1e31042",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "6f70554d7b82732199e651156ab52e5f7270965641a527a05d8b5be00be04f23",
"outputTransactionId": "e2cfacbe4f913cbe38c38200ebb044837937759719fe1e1f88b06fb347e41048",
"outputIndex": 9,
"outputGlobalIndex": 53116401,
"outputCreatedAt": 1705099,
"outputSettledAt": 1705104,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "a3ad37755a0c670600412d77a336d02283ec6a79fd91349527a026a6eba586cb",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110a80a0b787e90500003c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,0,0,30,15000000,8,0,50,15,20000000]"
},
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
}
}
}
],
"dataInputs": [
{
"boxId": "68aef0c3559e047d25973616b2a80a6b3cdf2cad83ec7b8c9906d2e9a3ff850d",
"value": 1000000,
"index": 0,
"outputBlockId": "eef3898aa6e7cb3c50ae8042ac0ddd147d319aa1a561de49967c95f634757efe",
"outputTransactionId": "fe2a52bfdf56d4658a593380dbf0cde322b8d8a351c67e389a3468948dc2b058",
"outputIndex": 0,
"ergoTree": "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",
"address": "zxFnr6XrdtpugAYXqkLFbKFM3xDFvBb634noBhaqkcqcrbTwJEwVvHhCFAYhvt1wJzEPSRr4mXzmRC4g1dZdNk1XFjsbG1SvYs7mi1vhN5MfASnvryY46n8YraKMo5YFxRSTasWumxKrfdgEVz7VxxKh3UZUnKXKpTwgEacMDGpM6ZRus81gGKcwkobfTnAEvd9WQGw78564KFFnGCQ6bd8rqxriyYSMpUVG86DbJtgv326TEEqBSDs723uh7UroZYkHhutukSr4DEHazkrGu5JVU81xtsehnagGDsSMaoN3Ki7h3i1TT2TJDEZK157cReyHrCZpwxT8kBjggUzPSmyiLMrUcHrigd5XTCHFkKEzQbQT7WhXThZYyQyKW9ra9gFDyC4WmA69Nbj6BVaRx98n9bkrjGRp4Q7Su2UnVUUCkQppVdst9c4mT28jNaKh3g64PcmWy5LDZKn9jW3Gx3rtS1tsyMbdnYKK364mAJcea9YdnezHomU16arNBV9aaXgkeSb2Nv5JRoqCi8AWpSaF4pwNLaQrCzhZVjz7AYrMSygLQk3oVrQ9SaQg9vJKe9PJe2sJWjweEC8wricunFwpWrQLR9rBaVVeKaknkoaaxMNYnxRghGvWjSRN2YAEiBvq6KoJdkY7uYhzpqrLMhGxHhdbQ5GJabWsryXDiLHZTEhLxysh1ukE6Vs5HtCoenBY7E1VisK6CsawDg95GNQe3yta5M9",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "059292d001",
"sigmaType": "SLong",
"renderedValue": "1705097"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "e4ef179b7077e1cc1751dbcdc23c1619fb3bdefdc2265705c65841740f47b10d",
"value": 1000000,
"index": 1,
"outputBlockId": "eef3898aa6e7cb3c50ae8042ac0ddd147d319aa1a561de49967c95f634757efe",
"outputTransactionId": "87ea33eb97405d7017c54c3cd6a2afc56bb736150c9c7738db99dd3bce9f3f9b",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120a3ad37755a0c670600412d77a336d02283ec6a79fd91349527a026a6eba586cb",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[a3ad37755a0c670600412d77a336d02283ec6a79fd91349527a026a6eba586cb]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "70e7023d5a7e52c9e617fc714180d7f21603b5671e79dec8e2eb39679ec679e6",
"value": 18212416862359,
"index": 2,
"outputBlockId": "a22193c71f3b82bc5bf01cd67e1c430ffbaab904142b3c71a28e623b1d43fa45",
"outputTransactionId": "12ef44d01c154a01d8930a26c603ac2987d33556f04e78a7b391631405fe10e9",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "575027fb7e9621b766677ea207d7945afc9445d09de6187011fb51b2cfb35e9a",
"transactionId": "9da2c7bd4dc8683baac3f1ac031f38eaa888edcba227f7c49affd43a3ccdd58d",
"blockId": "af614a9c4f928deb425cf0df413eb39cb49444ad937733e1c7e9b9b0396997bf",
"value": 1000000,
"index": 0,
"globalIndex": 53116994,
"creationHeight": 1705125,
"settlementHeight": 1705127,
"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(-98,-124,56,-56,120,86,127,-98,-100,123,-74,38,-123,-55,-62,28,-24,-77,38,8,-95,82,4,4,32,-83,-48,33,-89,-73,106,-37)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-96,43,-97,-2,-98,-110,79,-74,-16,-111,-12,28,-44,-94,-67,12,-112,70,-34,16,-23,-62,33,34,-55,16,-33,-90,83,19,-127,57)\n22: 0\n23: 0\n24: -1\n25: Coll(-14,1,-110,-12,-42,-35,-83,-86,-121,-45,-121,-2,-64,-41,-50,84,76,-106,52,-14,48,6,123,96,32,-106,72,-32,121,-44,-16,-17)\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": "18210c515e244688c0d740ccb35941b33c364c26e5a7193ccf31fa380a62971b",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4c754ce6e9155c3cd29cb4de01529cabf58c464fb892df90b3b399f7926d7082",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "9786b04d083507df907e4d790e5b48c34c8a57567b41f0ff8cec555ea8340624",
"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"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "9632b9d2d3765c52c5fa34356f69467d07f30ab91fc69cf153c59c7711c9260b",
"transactionId": "9da2c7bd4dc8683baac3f1ac031f38eaa888edcba227f7c49affd43a3ccdd58d",
"blockId": "af614a9c4f928deb425cf0df413eb39cb49444ad937733e1c7e9b9b0396997bf",
"value": 203000000,
"index": 1,
"globalIndex": 53116995,
"creationHeight": 1705125,
"settlementHeight": 1705127,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-89,-98,-39,-67,86,40,90,-123,88,30,98,5,63,-32,1,0,116,9,-126,81,-57,-94,-3,36,-67,6,0,-105,93,-46,-22,16)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(-98,-124,56,-56,120,86,127,-98,-100,123,-74,38,-123,-55,-62,28,-24,-77,38,8,-95,82,4,4,32,-83,-48,33,-89,-73,106,-37)\n11: 0\n12: 1\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 0\n22: 32\n23: 32\n24: 40\n25: 6\n26: 1000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 2\n35: 0\n36: 0\n37: 0\n38: 1\n39: 0\n40: 1\n41: 10000000\n42: 1\n43: 1000000\n44: 1000\n45: 1000\n46: 0\n47: 0\n48: 0\n49: 0\n50: 1000000\n51: 10000000\n52: 5\n53: 1000000\n54: 10000000\n55: 100000000\n56: 100000000\n57: 100000000\n58: 0\n59: 1\n60: 3\n61: 2\n62: 3\n63: 5\n64: 6\n65: 7\n66: 1000\n67: 1\n68: 1\n69: 980000\n70: 1000000\n71: CBigInt(1)\n72: 0\n73: 0\n74: 0\n75: 0\n76: -1\n77: 1\n78: 1\n79: 2000000\n80: 0\n81: 0\n82: 0\n83: true\n84: 0\n85: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val coll5 = SELF.R9[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3))\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val l12 = SELF.R6[Long].get\n val coll13 = SELF.R8[Coll[Byte]].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](6))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](7)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n val coll26 = placeholder[Coll[Byte]](13)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](15))\n val l32 = coll5(placeholder[Int](16))\n val i33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size\n val bool34 = i33 == placeholder[Int](17)\n val l35 = HEIGHT.toLong\n val l36 = coll5(placeholder[Int](18))\n val l37 = coll5(placeholder[Int](19))\n val l38 = l36 + l37\n val l39 = coll5(placeholder[Int](20))\n val coll40 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val coll41 = coll13.slice(placeholder[Int](23), placeholder[Int](24))\n val l42 = coll5(placeholder[Int](25))\n val bi43 = bi24 * bi22 / bi21\n val bi44 = if (l35 < l38) {(\n val i44 = placeholder[Int](26)\n bi43 * l42.toBigInt + i44.toBigInt / i44.toBigInt\n )} else { bi43 }\n val box45 = coll28.getOrElse(placeholder[Int](27), SELF)\n val coll46 = box45.tokens\n val tuple47 = coll46(placeholder[Int](28))\n val func48 = {(box48: Box) =>\n val coll50 = box48.propositionBytes\n val coll51 = blake2b256(coll50)\n val bool52 = coll51 == coll4\n bool52\n }\n val coll49 = OUTPUTS.filter(func48)\n val box50 = coll49.getOrElse(placeholder[Int](29), SELF)\n val coll51 = box50.tokens\n val tuple52 = coll51(placeholder[Int](30))\n if (coll2.size > placeholder[Int](31)) {(\n val func53 = func15\n val coll54 = coll16\n val i55 = coll54.size\n val func56 = func27\n val coll57 = coll28\n val box58 = coll2.getOrElse(placeholder[Int](32), SELF)\n val coll59 = box58.R4[Coll[Long]].get\n val l60 = coll59(placeholder[Int](33))\n val l61 = coll59(placeholder[Int](34))\n if (i55 > placeholder[Int](35)) {(\n val box62 = box17\n val bool63 = OUTPUTS.map({(box63: Box) => box63.id }).indexOf(box62.id, placeholder[Int](36)) == box58.R9[Coll[Int]].get(\n placeholder[Int](37)\n ) - placeholder[Int](38)\n val l64 = box62.value\n val coll65 = coll18\n val tuple66 = tuple19\n val coll67 = box62.R4[Coll[Byte]].get\n val ge68 = box62.R5[GroupElement].get\n val coll69 = box62.R7[Coll[Byte]].get\n val bool70 = ((((l64 >= l6) && (tuple66._1 == coll9)) && (coll67 == coll10)) && (ge68 == ge11)) && (coll69 == coll1)\n val coll71 = box62.R8[Coll[Byte]].get\n val l72 = box62.R6[Long].get\n val coll73 = box62.R9[Coll[Long]].get\n val bool74 = coll73 == coll5\n if (coll57.size > placeholder[Int](39)) {(\n val bi75 = l20.toBigInt\n val box76 = box29\n val coll77 = coll30\n val tuple78 = coll77(placeholder[Int](40))\n val tuple79 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool70 && bool63) && (coll13 == coll71)) && (l64 >= l14)) && (l64 <= l14 + placeholder[Long](41))) && (\n bi75 >= bi24 - tuple78._2.toBigInt * bi21 / bi22\n )\n ) && (coll65.slice(placeholder[Int](42), coll65.size) == coll25)\n ) && (l72 == l12)\n ) && bool74\n ) && (((box76.value >= placeholder[Long](43)) && (tuple79._1 == coll9)) && (tuple78._1 == coll26))\n ) && (tuple79._2 == l23 - l20)\n ) && (l60.toBigInt >= bi75 * bi22 / bi21 * l32.toBigInt / placeholder[Int](44).toBigInt)\n ) && bool34\n ) && (l35 >= l38)\n )\n )} else {(\n val bi75 = l60.toBigInt\n val i76 = placeholder[Int](45)\n val bi77 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i76.toBigInt\n val bool78 = bi75 >= bi77\n val prop79 = sigmaProp(INPUTS.filter({(box79: Box) =>\n val coll81 = box79.tokens\n ((coll81.size > placeholder[Int](46)) && (coll81(placeholder[Int](47))._1 == coll40)) && (box79.R9[Coll[Coll[Byte]]].get(placeholder[Int](48)) == coll41)\n }).size > placeholder[Int](49)) || proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool70 && bool63) && (coll13 == coll71)) && (l64 >= l14 - placeholder[Long](50))) && (l64 <= l14 + placeholder[Long](51))) && (\n coll65 == coll7\n )\n ) && (l72 > l35 + l39)\n ) && (l72 < l35 + l39 + placeholder[Long](52))\n ) && (bi75 < bi77)\n ) && bool74\n ) && bool34\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool70 && bool63) && (coll13 == coll71)) && (l64 >= l14 - placeholder[Long](53))) && (l64 <= l14 + placeholder[Long](54))) && (\n coll65 == coll7\n )\n ) && (l12 != placeholder[Long](55))\n ) && (l72 == placeholder[Long](56))\n ) && bool78\n ) && bool74\n ) && bool34\n ) || prop79 && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool70 && bool63) && (coll13 == coll71)) && (bi75 >= bi44 * l61.toBigInt / i76.toBigInt)) && (tuple66 == tuple8)) && (\n l72 == placeholder[Long](57)\n )\n ) && bool78\n ) && ((coll73(placeholder[Int](58)) == l61) && (coll73(placeholder[Int](59)) == coll59(placeholder[Int](60))))\n ) && (i33 == i55)\n ) && (coll73(placeholder[Int](61)) == l39)\n ) && (coll73(placeholder[Int](62)) == l6)\n ) && (coll73(placeholder[Int](63)) == l36)\n ) && (coll73(placeholder[Int](64)) == l42)\n ) && (coll73(placeholder[Int](65)) == l37)\n ) || prop79 && sigmaProp(\n ((((((bool70 && (l64 == l14)) && (coll65 == coll7)) && (coll67 == coll10)) && (ge68 == ge11)) && (coll69 == coll1)) && bool74) && (i33 == i55)\n )\n )}\n )} else {(\n val bi62 = l60.toBigInt\n val i63 = placeholder[Int](66)\n val box64 = box45\n val coll65 = coll46\n val tuple66 = tuple47\n val tuple67 = coll65(placeholder[Int](67))\n val coll68 = SELF.id\n val bi69 = bi62 - bi44\n val bi70 = coll5(placeholder[Int](68)).toBigInt\n val bi71 = bi69 * i63.toBigInt - bi70 / i63.toBigInt\n val l72 = tuple67._2\n sigmaProp(\n (\n (\n (\n (\n (((bi62 <= bi44 * l32.toBigInt / i63.toBigInt) && (l35 >= l12)) || (l35 > SELF.creationInfo._1.toLong + placeholder[Long](69))) && (\n (((box64.value >= placeholder[Long](70)) && (tuple66._1 == coll9)) && (tuple67._1 == coll26)) && (box64.id != coll68)\n )\n ) && (tuple66._2 == l23)\n ) && if (bi71 < placeholder[BigInt](71)) { l72.toBigInt >= bi62 } else {(\n val box73 = OUTPUTS.filter({(box73: Box) => box73.propositionBytes == coll10 }).getOrElse(placeholder[Int](72), SELF)\n val tuple74 = box73.tokens(placeholder[Int](73))\n (((l72.toBigInt >= bi44 + bi69 * bi70 / i63.toBigInt) && (tuple74._2.toBigInt >= bi71)) && (tuple74._1 == coll26)) && (box73.id != coll68)\n )}\n ) && (\n INPUTS.map({(box73: Box) => box73.id }).indexOf(coll68, placeholder[Int](74)) == box58.R9[Coll[Int]].get(placeholder[Int](75)) * placeholder[Int](\n 76\n ) - placeholder[Int](77)\n )\n ) && bool34\n )\n )}\n )} else {(\n val func53 = func48\n val coll54 = coll49\n val box55 = box50\n val coll56 = coll51\n val tuple57 = tuple52\n val tuple58 = coll56(placeholder[Int](78))\n sigmaProp(\n (\n (\n (((((box55.value >= placeholder[Long](79)) && (tuple57._1 == coll9)) && (tuple58._1 == coll26)) && (box55.id != SELF.id)) && (tuple57._2 == l23)) && (\n tuple58._2.toBigInt > bi44\n )\n ) && if (INPUTS.filter({(box59: Box) =>\n val coll61 = box59.tokens\n ((coll61.size > placeholder[Int](80)) && (coll61(placeholder[Int](81))._1 == coll40)) && (box59.R9[Coll[Byte]].get == coll41)\n }).size > placeholder[Int](82)) { placeholder[Boolean](83) } else {(\n val box59 = OUTPUTS.filter({(box59: Box) => box59.propositionBytes == coll10 }).getOrElse(placeholder[Int](84), SELF)\n ((box59.value >= l14 - placeholder[Long](85)) && (box59.tokens == coll25)) && (box59.id != SELF.id)\n )}\n ) && bool34\n )\n )}\n}",
"address": "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",
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"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
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"additionalRegisters": {
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"sigmaType": "SGroupElement",
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"R6": {
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"sigmaType": "SLong",
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"R8": {
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SLong]",
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"value": 1000000,
"index": 2,
"globalIndex": 53116996,
"creationHeight": 1705125,
"settlementHeight": 1705127,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
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"index": 0,
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"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
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"creationHeight": 1705125,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "2GHGXUgJzMYF4HN31PTotrY2azq2t1ueHJABDHu7qYmYHesuDwXARy5xG2FXoSL7Cqk6Cw9rsRtPHb7KTkv9w91ADPrwgz4LfevwpkPLHb5ajsMZsTxyor7PLiL8aHXj1igzrLo4J25njxxepzvaGRbNayLWir9YcHCd3JCo13BLfg7AM1kpU6rc2G45wPZw3geEGxYkQzhMr6qtKmCxuwUqbGmosYAcpSzBa2AmsUBsDTVaEkcZD5CKK95cLoWpbPAakGt1sspx5QeLyfBUguiaLnLNPMbtvVGyfTgG6tMFh7aG5EXP1wQBFBSwLCwEecQNQVQaVBkrQzhHNyUnmcehopGB54JMMfGQDvGMmLjQzLtnTcpVGVV1T3tbyHY5ifGTxcQ1KTDRWoGSr2nn1F2dHAoUbeN3YSffEvaF6kLKsaW1oYCDWzfRPsnD9AwgAiL2YyCxbQbmsF3N8DCgaUoBnRKLuUzGcdDooZH5gTV7JN68i9xjEkFAGmiFYVHSYdgxGgrDuH8rhhJMyJJn9ypU7R8wgEG5C1s3rXcCtpWypZr2XL4swMi9GkNgvLYKF47jEw9DprQLa9d1JVgUfNijbr6hQdbcmbEvcBL4QWTRfp7ifvConoNLCahLZhM6DMfmDgpMEYbxshRbUpX3pHXkLUctNbHZfyQVrcNMFUbDqPYbVhrjDyKYMYzFpLYjRo6StdSajfY86ZXQtZvCC9PsZZuhmnQrXmZd9RzJriQpFB5qweMm8McXep9Lnmf1FezNSVDwpRJve213Gz3Xm7psLCnCLWHqWcwyHGNGGwSPEZ83KrEpZyyxX9bALUN7icRTK9pNsCSPSs4qjreYgLgu6EjaoL3HazWSFKYf6k5cJuDfDpWZen198X1y7snBcG2piTBYTsKxhgbyPHpNgcE4vhgQ7Uw2so13ekYHMdcjtSkNRYyxDJCLQqzn5M34dXvtosoqGgKveGjYVa9qqW5TzQgpyVtwGCVfsXnYu4hvLjc5PX2NG9dmVaTH8yMTt7RgHeiGzRzhsEhRXynMcH1nrSRj2sW9pK9mgefmp6TPXiFSPAQgBib9zbBuCYJaW1iLvwnFU8kT9K379ek8DJkGXqfq32kRaH6WkW1NMpRSxnCSgPRcADajvv1uJZKkqBQkrHEZrg3ASKL9WM4LwpCy2VHzeEikuGmFmbqHRSUEo5uUXRCmaPzghThLNo6CVXXpGRRFCUebX2DeBkCAQ6fcVJ3Kyt6JLmpWsZieMvf3ybZgju3oBfquSYcnRFkcBgdiMV74MGi2QJzqi3bNRU24HkZztM4YHCfSNvMpmSLjJn6Q1ZCobkYNjxtLFqcy8nrrDYPAdvcKBFG9MUWRk5Ha9Bn1p9ZoMUuNtUTcKQfhWb7SdHFoi2Dc6roqraRGhWuHcgoYCXZAs6vALTHmcJGDfN7KVRM4wVi93mrHz4vrrmPEuaF29kFfhZrqW119f1pVtnjAS9siNtRtXM2u587h1g7jpgbz2ay88oQLmU4QFRueXBYRZHiLbNoz7wNYqSTkxMTAtKLd4HAscLMyeLU3unyuVC3bvBAzWozYE4Toci1eNGFJJrvoNVg2Nu1ebC8k3EpBXZWRDvriNWuNLf97PhUKPcF8mktU5qzqTPAs6E7GNqbQGpXisVQ8CWs5y5c1Aw7PUgnukMxjoERuaxvvwpV8z4aL",
"assets": [
{
"tokenId": "a3ad37755a0c670600412d77a336d02283ec6a79fd91349527a026a6eba586cb",
"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": "110a80a0b787e905a6c1ed0bb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12431443,1435,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "ae4bdb3d6ecdaffc387d1f99882fe6adab5354c3d39d087c8e255d4914dbbbb0",
"mainChain": true
},
{
"boxId": "3f257aa89adb5c418f8d9aa3d373387a3a6c8a91b0892a698e9c5914eed4eb4b",
"transactionId": "9da2c7bd4dc8683baac3f1ac031f38eaa888edcba227f7c49affd43a3ccdd58d",
"blockId": "af614a9c4f928deb425cf0df413eb39cb49444ad937733e1c7e9b9b0396997bf",
"value": 1000000,
"index": 4,
"globalIndex": 53116998,
"creationHeight": 1705125,
"settlementHeight": 1705127,
"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": "1e0f8c45d5cfb8e5cfd469c6d944d010d2a7fd3800780ba814844e980fe0ce66",
"mainChain": true
}
],
"size": 5519,
"isUnconfirmed": false
}