Transaction
ID: 4eaa25bade...3a21
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 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:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 105,501
Total coins transferred: 0.003 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000562 ERG
Raw Transaction Data
{
"id": "4eaa25bade558f0a8d4bd6b52d42cfeb2e810341ee011dde6eb54df6e7393a21",
"blockId": "4aeb46ea2e0433efdfc2ebf0b0cba82ec3c59bda55bea2657e9d03e5b312433c",
"inclusionHeight": 1664614,
"timestamp": 1764164084824,
"index": 8,
"globalIndex": 9867117,
"numConfirmations": 105501,
"inputs": [
{
"boxId": "eb46ff17eb7aa796dea5e0b84532544287baec3595875b0d8db922918e7a5ed0",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "610b3c63466bdf4046726ba9218094ff911e50c496e9487b4828754c33b7a8b1",
"outputTransactionId": "9dc305e1a38baef0695c41e0f4b4c69911bba32b4aae1c264850c78a1c66273f",
"outputIndex": 0,
"outputGlobalIndex": 51852608,
"outputCreatedAt": 1664602,
"outputSettledAt": 1664603,
"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(-5,-41,114,-73,48,61,71,110,-16,-16,-6,73,88,-75,-116,97,56,-124,-100,44,-89,-21,-118,16,-87,-125,1,-34,113,-42,-85,74)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-5,-106,-77,68,58,58,35,38,-91,-78,114,105,-63,-97,-70,92,-119,-103,-110,-41,88,-99,-85,119,-17,-98,-12,-4,30,118,-68,115)\n22: 0\n23: 0\n24: -1\n25: Coll(99,6,19,-38,72,50,-6,50,-51,-1,-59,99,20,20,50,54,56,-39,-36,-42,100,70,-77,-29,45,-100,21,-39,-42,15,-84,-98)\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": "03c5366240fad3b33ed6e8093534d8210eace60148e17f3ff40793a990885a89",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "27d8d66ea9b0c257d1227a5bc975989935fc83e027b63cf90e9bc22e0ee7a5e1",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5ef0dec2c092f906fc74dc0641c4f0da3121828ca98e052ff3b5d54c614ed920",
"index": 2,
"amount": 8999999994000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 6000010,
"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": "90956b2fd7a040a504de9504cf0654fb16cb70e785bf06428d182ae839318f6e",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5259d90f38f8747fb16550137a7fb5864b83a80f05e479176fac2db43eefbdb0",
"outputTransactionId": "83797dc4a6531aa5db09c709334a8a2fbe5c9ad7162e16375da23892581985d8",
"outputIndex": 1,
"outputGlobalIndex": 51852794,
"outputCreatedAt": 1664609,
"outputSettledAt": 1664611,
"ergoTree": "100f04000e2003c5366240fad3b33ed6e8093534d8210eace60148e17f3ff40793a990885a89040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(3,-59,54,98,64,-6,-45,-77,62,-42,-24,9,53,52,-40,33,14,-84,-26,1,72,-31,127,63,-12,7,-109,-87,-112,-120,90,-119)\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": "r5zW3yf58B8MtvgFQX3gRsrBBgFT2QA2QQyk3aSGy9G1fRcSJTXP5weK8GZ6y6eyiu95dnJATbyYMHLi6hJHfBvtH3obvm5XLUNSseB8pgdEtKqXwJEfuYL7a7LoBErfEEQF6puR9Ezu1DvKaAxfTduebrmFJL2g5RG7hrg7Ktay3WK42vxCs6r5UpFjwoJN6JcfmSufeQg8tdYmPLk7Wy581yYGjCdZ4Yy3Tyzgom9WSThFShrbMmD5FvwuaU89HdnqpkQzKNXAG7cEENRKXgLbRERZTGotk2B4qcLzPRW3tT4u9pC9MxskJPvpAmWqCCmZB5zqKeatqPXHEVU",
"assets": [
{
"tokenId": "5ef0dec2c092f906fc74dc0641c4f0da3121828ca98e052ff3b5d54c614ed920",
"index": 0,
"amount": 6000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 6300001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "f4f5dee81ed403e6b180579d799d0376eb16f0f72431cf70b795cee406f3e410",
"value": 1000000,
"index": 0,
"outputBlockId": "99affca6ee3a6f763822314348e35e8084d84b841bae0263fb3cee40c9202a28",
"outputTransactionId": "04cbb5ad28d9025e61d586ecd7caf2ecf7fa4262d9d64f8d622c6c8debf9e867",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "059499cb01",
"sigmaType": "SLong",
"renderedValue": "1664586"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "18178ac0d40f1c8ef89fc0f22e9c8f9a52727f58f872910a0b8231a4fa4f9db8",
"value": 1000000,
"index": 1,
"outputBlockId": "99affca6ee3a6f763822314348e35e8084d84b841bae0263fb3cee40c9202a28",
"outputTransactionId": "bc40b32b796efb2ba33c2cb5caf217a8d912b07bca7147f2a3d8061d232da173",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01205f9253ffef6e976d77841940977a9db15432d55db52af5501d76adb63ed65524",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5f9253ffef6e976d77841940977a9db15432d55db52af5501d76adb63ed65524]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "0d4f9570976b1b4b8de31260f5e86edc722e8b2ee338e79c35efc1259264ae0a",
"transactionId": "4eaa25bade558f0a8d4bd6b52d42cfeb2e810341ee011dde6eb54df6e7393a21",
"blockId": "4aeb46ea2e0433efdfc2ebf0b0cba82ec3c59bda55bea2657e9d03e5b312433c",
"value": 2000000,
"index": 0,
"globalIndex": 51853010,
"creationHeight": 1664612,
"settlementHeight": 1664614,
"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(-5,-41,114,-73,48,61,71,110,-16,-16,-6,73,88,-75,-116,97,56,-124,-100,44,-89,-21,-118,16,-87,-125,1,-34,113,-42,-85,74)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-5,-106,-77,68,58,58,35,38,-91,-78,114,105,-63,-97,-70,92,-119,-103,-110,-41,88,-99,-85,119,-17,-98,-12,-4,30,118,-68,115)\n22: 0\n23: 0\n24: -1\n25: Coll(99,6,19,-38,72,50,-6,50,-51,-1,-59,99,20,20,50,54,56,-39,-36,-42,100,70,-77,-29,45,-100,21,-39,-42,15,-84,-98)\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": "03c5366240fad3b33ed6e8093534d8210eace60148e17f3ff40793a990885a89",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "27d8d66ea9b0c257d1227a5bc975989935fc83e027b63cf90e9bc22e0ee7a5e1",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5ef0dec2c092f906fc74dc0641c4f0da3121828ca98e052ff3b5d54c614ed920",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12300011,
"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": "05d76f344f1dd65af1524715c1161e11220af5f74dd515de9d85f21db3efaff6",
"mainChain": true
},
{
"boxId": "8fa7c75af3b627ff3c4fa169b825764c7c6d2cb29f96566cdeef104acbf818f1",
"transactionId": "4eaa25bade558f0a8d4bd6b52d42cfeb2e810341ee011dde6eb54df6e7393a21",
"blockId": "4aeb46ea2e0433efdfc2ebf0b0cba82ec3c59bda55bea2657e9d03e5b312433c",
"value": 1000000,
"index": 1,
"globalIndex": 51853011,
"creationHeight": 1664612,
"settlementHeight": 1664614,
"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": "7ec30346e6466666caf5d0df13fa5983f8699d1eeb32c611868394a60cd39d01",
"mainChain": true
}
],
"size": 1779,
"isUnconfirmed": false
}