Transaction
ID: fe14103c7a...e996
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 78,200
Total coins transferred: 0.005 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000557 ERG
Raw Transaction Data
{
"id": "fe14103c7a7e3cfb1629b2d84c6723d212327726890599f564cb29b1c883e996",
"blockId": "96b03913c856a6d2ac4aacc99007bc0c236f75ceae3098c26e698973bb576c4e",
"inclusionHeight": 1691003,
"timestamp": 1767354303246,
"index": 5,
"globalIndex": 10075574,
"numConfirmations": 78200,
"inputs": [
{
"boxId": "bcdca4fd06e0df7fe0a8c314323b60f39d01bb943b3698f4902b34ee8b5ad467",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "96b03913c856a6d2ac4aacc99007bc0c236f75ceae3098c26e698973bb576c4e",
"outputTransactionId": "8ed271de09b8ef92bd384034488ad7a750d502dc04146ef23a9479ae0e994822",
"outputIndex": 0,
"outputGlobalIndex": 52693883,
"outputCreatedAt": 1691002,
"outputSettledAt": 1691003,
"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(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(126,-74,102,121,95,-10,67,-71,117,-94,-3,49,10,26,-99,87,74,-97,82,-124,124,112,110,-3,-74,-14,26,51,123,-68,-69,77)\n22: 0\n23: 0\n24: -1\n25: Coll(68,37,63,-13,94,-62,-16,-85,-104,101,-118,54,2,105,51,-94,6,-76,56,78,89,-10,10,96,-77,-72,-93,-18,-13,126,-111,53)\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": "160056fb797d5393b622547da4db3afa794cbf9ed3911a4d7b65ed8fcb478e01",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "57d9d8d062dd1474a806224871d2fa2a90ee90c112231824bb008efd9a63fbff",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
"index": 2,
"amount": 8999999996000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 8000012,
"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": "93acaf9f9c84aeaf81071d399f46c0d29d47f2645d174dd33b542505f25b03be",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "eb61e4d25455375f53edd243a4cbc1beb9e10c87649230adb87f9ec6acebc2a3",
"outputTransactionId": "7dd20ca84da40b9c0f82e0679836224201ff54f8f7af5fec758da3a1d511a690",
"outputIndex": 1,
"outputGlobalIndex": 52693802,
"outputCreatedAt": 1691000,
"outputSettledAt": 1691001,
"ergoTree": "100f04000e20160056fb797d5393b622547da4db3afa794cbf9ed3911a4d7b65ed8fcb478e01040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(22,0,86,-5,121,125,83,-109,-74,34,84,125,-92,-37,58,-6,121,76,-65,-98,-45,-111,26,77,123,101,-19,-113,-53,71,-114,1)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf58hFE63dLyDCuPd1r8od9skqbW1AxxJiuFCtiJA8WxF1GFdGo22FZmGiQvewJoArXcPwcsY7UGSbWts9noc3hLVVwEFn6PgWqsGoXdH8YtqKFDPeCDLRRu7VGTG6zbJQBEnHRGNP3KLG38ijkVBGutt4qtz5MN12pwPD5zvo422oGr3h2miUVQTGBeknqGQqWcPjoSCRL2CPx1TYycXAFbFnBYdJTW21ooWjQKkKK3X1uVTdNva1pWVXLpaM33xMjs3Ewy1BUrU3H4z33TxD1N4ZGZBkeHiwcBpARmkRNfUeYZz4ManLWBChkso45Af3iAvfbcc7Ws4S",
"assets": [
{
"tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 4000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "8fb367fb070cd857568326b07b35b74788e0c5a03f45faad1d6f548a930dbbfd",
"value": 1000000,
"index": 0,
"outputBlockId": "5b1371b78e9b10928f03f80e5aca6894fadd8c72fe43177255089c1021916d50",
"outputTransactionId": "e92eba0251fa471d7ad77785ae9326482a2960cee85bc26b315ade1f94de5621",
"outputIndex": 0,
"ergoTree": "10140400058084af5f04020400058080d4aff9dcfc1f040405808088fccdbcc3230406048092f40104000402040404060408040a04f00104000e20160056fb797d5393b622547da4db3afa794cbf9ed3911a4d7b65ed8fcb478e0104000e2081430b1eb890adf2696fd9676689f821d8674e5e897abe5fb13aa98b65d1b6e5d80ad601e4c6a70405d602b2a5730000d603e4c6a70506d6047301d605db6501fed606b27205730200d607e4c672060411d608db6308b27205730300d6099d9c7e9973048cb27208730500020672037e730606d60a9d9c7e72040672099a7e8cb2720873070002067209d1edededededededed927ea305720193c2a7c2720292c1720299c1a77e73080593db63087202db6308a793e4c6720205069d9c72039a7e7204069a9a9a9a9a7eb27207730900069d9c7eb27207730a0006720a7e7204069d9c9d9c7eb27207730b0006720a7e720406720a7e7204069d9c9d9c9d9c7eb27207730c0006720a7e720406720a7e720406720a7e7204069d9c9d9c9d9c9d9c7eb27207730d0006720a7e720406720a7e720406720a7e720406720a7e7204069d9c9d9c9d9c9d9c9d9c7eb27207730e0006720a7e720406720a7e720406720a7e720406720a7e720406720a7e7204067e72040693e4c6720204059a72017e730f05938cb27208731000017311938cb2db63087206731200017313ededede4c672020601e4c672020701e4c672020801e4c672020901",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05daaace01",
"sigmaType": "SLong",
"renderedValue": "1690285"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "55d3b3ab8af5f36805e1e312fe645f831d95e58ff4a734f6bcbc974ea1876ec7",
"value": 1000000,
"index": 1,
"outputBlockId": "5b1371b78e9b10928f03f80e5aca6894fadd8c72fe43177255089c1021916d50",
"outputTransactionId": "6f67544234eec2bf5e4e2b7f23716a1ca274d2fe322897a09f856341744e6ce7",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "e2dbebb6a76b300963fac883e6c83c73a5d6b1040f7b655541ef60fdd5bd69af",
"transactionId": "fe14103c7a7e3cfb1629b2d84c6723d212327726890599f564cb29b1c883e996",
"blockId": "96b03913c856a6d2ac4aacc99007bc0c236f75ceae3098c26e698973bb576c4e",
"value": 4000000,
"index": 0,
"globalIndex": 52693885,
"creationHeight": 1691002,
"settlementHeight": 1691003,
"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(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(126,-74,102,121,95,-10,67,-71,117,-94,-3,49,10,26,-99,87,74,-97,82,-124,124,112,110,-3,-74,-14,26,51,123,-68,-69,77)\n22: 0\n23: 0\n24: -1\n25: Coll(68,37,63,-13,94,-62,-16,-85,-104,101,-118,54,2,105,51,-94,6,-76,56,78,89,-10,10,96,-77,-72,-93,-18,-13,126,-111,53)\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": "160056fb797d5393b622547da4db3afa794cbf9ed3911a4d7b65ed8fcb478e01",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "57d9d8d062dd1474a806224871d2fa2a90ee90c112231824bb008efd9a63fbff",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12000013,
"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": "bb5795dea55d8e6f81976b115eb40373f54b383550f143d06bbb884472fc5e3d",
"mainChain": true
},
{
"boxId": "26177fce167baad4443746fb64714f9cc5b82df1f639a2e32a4fddd1de7a4b2e",
"transactionId": "fe14103c7a7e3cfb1629b2d84c6723d212327726890599f564cb29b1c883e996",
"blockId": "96b03913c856a6d2ac4aacc99007bc0c236f75ceae3098c26e698973bb576c4e",
"value": 1000000,
"index": 1,
"globalIndex": 52693886,
"creationHeight": 1691002,
"settlementHeight": 1691003,
"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": "d548a6596e982bb6bd4cbb6aab4b1a0b08929df3426fa4425857e93d1dbc6dcf",
"mainChain": true
}
],
"size": 1794,
"isUnconfirmed": false
}