Transaction
ID: b1eed2abfa...30fd
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
5
Spent
Address:
Output transaction:
Settlement height:
Value:
0.483 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.483 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 235,425
Total coins transferred: 0.487 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000291 ERG
Raw Transaction Data
{
"id": "b1eed2abfa73a7d07067ca38e0ba616042d9542e34d7872525ac2b6f99a430fd",
"blockId": "92552c43d0d17c97ec3f7c561fd44a7271d0ccee7a94a7f40c15e3ef8ea00eba",
"inclusionHeight": 1535769,
"timestamp": 1748557687601,
"index": 2,
"globalIndex": 9023454,
"numConfirmations": 235425,
"inputs": [
{
"boxId": "9a2994ab4d95af5f19892b61f722f994e24d9c13e652535ccc3e2547fea0ec40",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "dbf89cc5dde8f300c1620c0c0646932c0cc240d5f0039a4f887a8965945743bd",
"outputTransactionId": "08174f8816587399be11f39e128124029e84bd002b4bdb2274ccaa7adac075f5",
"outputIndex": 0,
"outputGlobalIndex": 48113497,
"outputCreatedAt": 1535763,
"outputSettledAt": 1535765,
"ergoTree": "1007040404000580897a0400040204000400d19590b1a57300d801d601b2a5730100ededed93c27201e4c6a7060e92c1720199c1a7730293db63087201db6308a7927ea305e4c6a70705d803d601b2a5730300d602b2a4730400d603b2db63087201730500ededededed93c27201c2720293c57202e4c6a7040e92c17201c17202938c7203018cb2db6308720273060001908c720302e4c6a70505ededededed93e4c67202040ee4c67201040e93e4c672020507e4c67201050793e4c672020605e4c67201060593e4c67202070ee4c67201070e93e4c67202080ee4c67201080e93e4c672020911e4c672010911",
"ergoTreeConstants": "0: 2\n1: 0\n2: 1000000\n3: 0\n4: 1\n5: 0\n6: 0",
"ergoTreeScript": "{sigmaProp(if (OUTPUTS.size <= placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n (((box1.propositionBytes == SELF.R6[Coll[Byte]].get) && (box1.value >= SELF.value - placeholder[Long](2))) && (box1.tokens == SELF.tokens)) && (HEIGHT.toLong >= SELF.R7[Long].get)\n )} else {(\n val box1 = OUTPUTS(placeholder[Int](3))\n val box2 = INPUTS(placeholder[Int](4))\n val tuple3 = box1.tokens(placeholder[Int](5))\n (((((box1.propositionBytes == box2.propositionBytes) && (box2.id == SELF.R4[Coll[Byte]].get)) && (box1.value >= box2.value)) && (tuple3._1 == box2.tokens(placeholder[Int](6))._1)) && (tuple3._2 <= SELF.R5[Long].get)) && ((((((box2.R4[Coll[Byte]].get == box1.R4[Coll[Byte]].get) && (box2.R5[GroupElement].get == box1.R5[GroupElement].get)) && (box2.R6[Long].get == box1.R6[Long].get)) && (box2.R7[Coll[Byte]].get == box1.R7[Coll[Byte]].get)) && (box2.R8[Coll[Byte]].get == box1.R8[Coll[Byte]].get)) && (box2.R9[Coll[Long]].get == box1.R9[Coll[Long]].get))\n )})}",
"address": "PLFPz4CKVdAoANt3mVUyUcm9PvfNPeNEcZp5PZ7zzvL9GoxEwBmSSAXJkAhxcHbrEdcnZwwURSpeRPZCsTucAJx41XKUccupwUpghMQ94gjv7Lx6W57LjnYZr9PSz4mNWQEYJCRVpPKu2X4PjMmdWpr3X5mNdQhu4fcgtgi3hFuXU7XRPZhcyLzqg2otesCWbyWPK5xU9o5UzRiMc1gKbxoTx5b9WMxBcHgfEmVTco7d9b3H1MZUGV9UsHwqcqTX2D3Kez1F59cREai6SLuBpXYcn6nARxcroUC4DpyiqgMkbx5W261KLZD2uiYrnb8VkD2HZVz6WAq",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 5000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d870af0076707268ae96d5af78f469088239db926a28f30bbbc09150e7b17331",
"sigmaType": "Coll[SByte]",
"renderedValue": "d870af0076707268ae96d5af78f469088239db926a28f30bbbc09150e7b17331"
},
"R5": {
"serializedValue": "0580ade204",
"sigmaType": "SLong",
"renderedValue": "5000000"
},
"R6": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R7": {
"serializedValue": "05c0bcbb01",
"sigmaType": "SLong",
"renderedValue": "1535776"
}
}
},
{
"boxId": "d870af0076707268ae96d5af78f469088239db926a28f30bbbc09150e7b17331",
"value": 483000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "aa87d85e88a4f97c1107cb17af0c2b620a06c8343f970073bd1f96426f04961c",
"outputTransactionId": "a06acbea862673cf4a2fe3517a4f404a964dcec8883ec25af415a60cfd3f7398",
"outputIndex": 1,
"outputGlobalIndex": 48096596,
"outputCreatedAt": 1534848,
"outputSettledAt": 1534851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-50,-93,-119,83,89,12,-57,-13,-120,45,94,-32,78,-123,41,113,-87,-33,-60,33,-125,-73,-107,-80,81,-123,26,-85,26,77,8,100)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(23,-65,119,-10,93,95,-115,20,47,126,-7,-19,-121,-7,35,-88,17,9,124,-60,59,10,-51,100,-59,-29,-61,124,-79,47,-6,-15)\n8: 0\n9: 1\n10: 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)\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 1\n24: 2\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 0\n32: 1\n33: 1\n34: 1000000\n35: 1000\n36: 1000\n37: 1000000\n38: 5\n39: 1000000\n40: 100000000\n41: 100000000\n42: 0\n43: 0\n44: 0\n45: 100000000\n46: 0\n47: 1\n48: 3\n49: 2\n50: 3\n51: 1000\n52: 1\n53: 1\n54: 980000\n55: 1000000\n56: CBigInt(1)\n57: 0\n58: 0\n59: 0\n60: 0\n61: -1\n62: 1\n63: 1\n64: 0\n65: 1000000\n66: 1000000\n67: 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.tokens\n val tuple6 = coll5(placeholder[Int](3))\n val coll7 = tuple6._1\n val coll8 = SELF.R4[Coll[Byte]].get\n val ge9 = SELF.R5[GroupElement].get\n val l10 = SELF.R6[Long].get\n val coll11 = SELF.R9[Coll[Long]].get\n val l12 = SELF.value\n val bi13 = placeholder[BigInt](4)\n val bi14 = CONTEXT.dataInputs.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](5)) && (coll16(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7))\n })(placeholder[Int](8)).R5[BigInt].get\n val l15 = tuple6._2\n val bi16 = l15.toBigInt\n val coll17 = coll5.slice(placeholder[Int](9), coll5.size)\n val coll18 = placeholder[Coll[Byte]](10)\n val func19 = {(box19: Box) =>\n val coll21 = box19.propositionBytes\n val coll22 = blake2b256(coll21)\n val bool23 = coll22 == coll4\n bool23\n }\n val coll20 = OUTPUTS.filter(func19)\n val box21 = coll20.getOrElse(placeholder[Int](11), SELF)\n val coll22 = box21.tokens\n val tuple23 = coll22(placeholder[Int](12))\n val l24 = coll11(placeholder[Int](13))\n val bool25 = INPUTS.filter({(box25: Box) => box25.propositionBytes == coll3 }).size == placeholder[Int](14)\n val l26 = coll11(placeholder[Int](15))\n val l27 = coll11(placeholder[Int](16))\n val bi28 = bi16 * bi14 / bi13\n val box29 = coll20.getOrElse(placeholder[Int](17), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](18))\n val func32 = {(box32: Box) =>\n val coll34 = box32.propositionBytes\n val coll35 = blake2b256(coll34)\n val bool36 = coll35 == coll4\n bool36\n }\n val coll33 = OUTPUTS.filter(func32)\n val box34 = coll33.getOrElse(placeholder[Int](19), SELF)\n val coll35 = box34.tokens\n val tuple36 = coll35(placeholder[Int](20))\n if (coll2.size > placeholder[Int](21)) {(\n val coll37 = OUTPUTS.filter({(box37: Box) => box37.propositionBytes == coll3 })\n val func38 = func19\n val coll39 = coll20\n val box40 = coll2.getOrElse(placeholder[Int](22), SELF)\n val coll41 = box40.R4[Coll[Long]].get\n val l42 = coll41(placeholder[Int](23))\n val l43 = coll41(placeholder[Int](24))\n if (coll37.size > placeholder[Int](25)) {(\n val box44 = coll37.getOrElse(placeholder[Int](26), SELF)\n val l45 = box44.value\n val coll46 = box44.tokens\n val tuple47 = coll46(placeholder[Int](27))\n val coll48 = box44.R8[Coll[Byte]].get\n val bool49 = (\n ((((tuple47._1 == coll7) && (box44.R4[Coll[Byte]].get == coll8)) && (box44.R5[GroupElement].get == ge9)) && (box44.R7[Coll[Byte]].get == coll1)) && (\n SELF.R8[Coll[Byte]].get == coll48\n )\n ) && (\n OUTPUTS.map({(box49: Box) => box49.id }).indexOf(box44.id, placeholder[Int](28)) == box40.R9[Coll[Int]].get(placeholder[Int](29)) - placeholder[Int](30)\n )\n val l50 = tuple47._2\n val l51 = box44.R6[Long].get\n val coll52 = box44.R9[Coll[Long]].get\n val bool53 = coll52 == coll11\n if (coll39.size > placeholder[Int](31)) {(\n val bi54 = l50.toBigInt\n val box55 = box21\n val coll56 = coll22\n val tuple57 = coll56(placeholder[Int](32))\n val tuple58 = tuple23\n sigmaProp(\n (\n (\n (\n (\n (\n (\n ((bool49 && (l45 >= l12)) && (bi54 >= bi16 - tuple57._2.toBigInt * bi13 / bi14)) && (\n coll46.slice(placeholder[Int](33), coll46.size) == coll17\n )\n ) && (l51 == l10)\n ) && bool53\n ) && (((box55.value >= placeholder[Long](34)) && (tuple58._1 == coll7)) && (tuple57._1 == coll18))\n ) && (tuple58._2 == l15 - l50)\n ) && (l42.toBigInt >= bi54 * bi14 / bi13 * l24.toBigInt / placeholder[Int](35).toBigInt)\n ) && bool25\n )\n )} else {(\n val bi54 = l42.toBigInt\n val i55 = placeholder[Int](36)\n val bi56 = l50.toBigInt * bi14 / bi13 * l24.toBigInt / i55.toBigInt\n val bool57 = bi54 >= bi56\n sigmaProp(\n (\n (\n (\n (((bool49 && (l45 >= l12 - placeholder[Long](37))) && (coll46 == coll5)) && (l51 > HEIGHT.toLong + l26)) && (\n l51 < HEIGHT.toLong + l26 + placeholder[Long](38)\n )\n ) && (bi54 < bi56)\n ) && bool53\n ) && bool25\n ) || sigmaProp(\n (\n (\n (\n (((bool49 && (l45 >= l12 - placeholder[Long](39))) && (coll46 == coll5)) && (l10 != placeholder[Long](40))) && (l51 == placeholder[Long](41))\n ) && bool57\n ) && bool53\n ) && bool25\n ) || sigmaProp(INPUTS.filter({(box58: Box) =>\n val coll60 = box58.tokens\n (coll60.size > placeholder[Int](42)) && (coll60(placeholder[Int](43))._1 == coll48)\n }).size > placeholder[Int](44)) || proveDlog(ge9) && sigmaProp(\n (\n (\n (\n (\n (\n (((bool49 && (l45 >= l27)) && (bi54 >= bi28 * l43.toBigInt / i55.toBigInt)) && (tuple47 == tuple6)) && (l51 == placeholder[Long](45))\n ) && bool57\n ) && ((coll52(placeholder[Int](46)) == l43) && (coll52(placeholder[Int](47)) == coll41(placeholder[Int](48))))\n ) && bool25\n ) && (coll52(placeholder[Int](49)) == l26)\n ) && (coll52(placeholder[Int](50)) == l27)\n )\n )}\n )} else {(\n val bi44 = l42.toBigInt\n val i45 = placeholder[Int](51)\n val box46 = box29\n val coll47 = coll30\n val tuple48 = tuple31\n val tuple49 = coll47(placeholder[Int](52))\n val bi50 = bi44 - bi28\n val bi51 = coll11(placeholder[Int](53)).toBigInt\n val bi52 = bi50 * i45.toBigInt - bi51 / i45.toBigInt\n val l53 = tuple49._2\n sigmaProp(\n (\n (\n (\n (\n (\n ((bi44 <= bi28 * l24.toBigInt / i45.toBigInt) && (HEIGHT.toLong >= l10)) || (\n HEIGHT.toLong > SELF.creationInfo._1.toLong + placeholder[Long](54)\n )\n ) && (((box46.value >= placeholder[Long](55)) && (tuple48._1 == coll7)) && (tuple49._1 == coll18))\n ) && (tuple48._2 == l15)\n ) && if (bi52 < placeholder[BigInt](56)) { l53.toBigInt >= bi44 } else {(\n val tuple54 = OUTPUTS.filter({(box54: Box) => box54.propositionBytes == coll8 }).getOrElse(placeholder[Int](57), SELF).tokens(\n placeholder[Int](58)\n )\n ((l53.toBigInt >= bi28 + bi50 * bi51 / i45.toBigInt) && (tuple54._2.toBigInt >= bi52)) && (tuple54._1 == coll18)\n )}\n ) && (\n INPUTS.map({(box54: Box) => box54.id }).indexOf(SELF.id, placeholder[Int](59)) == box40.R9[Coll[Int]].get(placeholder[Int](60)) * placeholder[Int](\n 61\n ) - placeholder[Int](62)\n )\n ) && bool25\n )\n )}\n )} else {(\n val func37 = func32\n val coll38 = coll33\n val box39 = box34\n val coll40 = coll35\n val tuple41 = tuple36\n val tuple42 = coll40(placeholder[Int](63))\n val box43 = OUTPUTS.filter({(box43: Box) => box43.propositionBytes == coll8 }).getOrElse(placeholder[Int](64), SELF)\n sigmaProp(\n (\n (\n (\n (((box39.value >= placeholder[Int](65).toLong + placeholder[Long](66)) && (tuple41._1 == coll7)) && (tuple42._1 == coll18)) && (tuple41._2 == l15)\n ) && (tuple42._2.toBigInt > bi28)\n ) && ((box43.value >= l12 - placeholder[Long](67)) && (box43.tokens == coll17))\n ) && bool25\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "92e265643e8a6235d0ee9a418a8baff7695f120634dbf7b8e7af9617017dc5b2",
"index": 0,
"amount": 10000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e20b8fa5ce40d7f3bcb9e5c261ac05d356b1ec1f4bb93d75b12547959f680b0fd19",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8fa5ce40d7f3bcb9e5c261ac05d356b1ec1f4bb93d75b12547959f680b0fd19"
},
"R9": {
"serializedValue": "11048c163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1414,30,8,15000000]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "2fd62325aa1fbf20777bf0f2d6c200a990bfdaebe6630964b5859a09b5863862",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "aa87d85e88a4f97c1107cb17af0c2b620a06c8343f970073bd1f96426f04961c",
"outputTransactionId": "a06acbea862673cf4a2fe3517a4f404a964dcec8883ec25af415a60cfd3f7398",
"outputIndex": 3,
"outputGlobalIndex": 48096598,
"outputCreatedAt": 1534848,
"outputSettledAt": 1534851,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 4\n37: 4\n38: 5\n39: 5\n40: 0\n41: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n val coll29 = SELF.R4[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && ((coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get))\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple30: (BigInt, Int)) =>\n val i32 = tuple30._2\n val l33 = coll13(i32)\n val bi34 = tuple30._1\n if (l33 > placeholder[Long](25)) {(\n val box35 = coll12(i32)\n val bi36 = l33.toBigInt\n val bi37 = box35.R4[Int].get.toBigInt\n val bi38 = box35.tokens(placeholder[Int](26))._2.toBigInt\n bi34 + box35.value.toBigInt * bi36 * bi37 / bi38 + bi38 * bi15 / bi16 * bi17 + bi36 * bi37 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i32).toBigInt / bi18\n )} else { bi34 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple30: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple32: (Coll[Byte], Long)) => tuple32 == tuple30 }) }\n )\n ) && coll26.indices.forall({(i30: Int) =>\n val coll32 = coll12(i30).tokens\n (coll26(i30) == coll32(placeholder[Int](30))._1) && (coll25(i30) == coll32(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l30: Long) => l30 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (coll29(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll29(placeholder[Int](36)) == coll21(placeholder[Int](37)))\n ) && (coll29(placeholder[Int](38)) == coll21(placeholder[Int](39)))\n ) && (coll8(placeholder[Int](40))._1 == coll2(placeholder[Int](41)))\n )\n}",
"address": "6r1sFS9f9HgeySqUHe1pvQh4wrsTvoLKakfEUoEFpoTDpgqde95GpiDneYCZxFU2wiXmKix97Wa651ZSBc2AbcDqw19AaLkMmDpWM4wgzXkDFSH7mj6AvzwutDThAhWN351xFTFivaCTe2JB7tn8dmsBGx2sqDZg1EaA6xupZe63e1VaAXYbUD9gC5YYen3xdXBLXS9ACUF1wHu3DG3RWAWJzmN98ZYT2z18DKwnnQMHWsia3KCKnV6Rp58HnBeTGcCMDFjrJ7qWoQ9KPXXiaTKBsuEkLTbPfg5mgCRvc2t8tV99piPGnMiqXdhcEaQ5rEYwfnVhoXBp6gdtmrXEwyJ1zsP2e7bewXDWrsD8e8ehFvcxMz5T5fyCWevP7s2kCkFJToLW8TyAXmft2BxMvmAaZUDZp2YsMpCu2MWcYq3qV1zhHo6uEWsRugy29aRweV5V9YFDq9DiQPF59qHskkuM28pxztJRSFktKNEix22uMCiuWJiceWbJXJo8hiQ8kYsuMVYoScnB5QeM5sr2yuSorLaf8KMVyQC4XmNSg4BhByZbN8qLiJSkSGAQNz7EnUtNv285Fk1dndWByc5r53gq7BUN8jbHbanvd7JiX6Qbzqrw9AeomsaVecbA4XGQ6by8SUmmt3pykWGi3tLTr9ZRoHUbMCWYh2FYJveBkFakMje3W3Etrit6Wcg8bAYbRDJzA96h3yT6r7PKU7KwXNrnr7aq8nkJTpnLstvaC3w96F1uFo95cVaFrPhhURN7ZQaArbdaso77Wc3iwp4wWqKoYtsf15RWpzp9yxcWtquDCycYFThjq3VMmWmvyWH8MD8vnqXGCEt7wFLa95ASf74DUPRysS7MnFumnAvQEfnz22Znzu1FqwwerSUhw2oyE7LbGPVNNWSidL19FkDhQQcvkBdgVrxamGdpnuMmfGVE2oee82vQim3opTCmg7Ttcqiz123YSGtZKR9tZEpvNuUPtAZfprmbWbqMvZLw9qgiiyn2kaVAphjnh2hv37V9LcdhDUAPRchU698PEHFwpAESotPnAs51Zq32UzX7tCqLdPe9YRdxhqrFZXp5gMw56cKyMgGVetSDzasvWsGVZrdi975XcPfXSCMghdUVPA38Z481DSzt6aJ3S6KVFcPf2feY4UAHrCmuViMxW3E7vZdyy71sYkyPBfbdtXFpgNWw9eHNAV3p35WKkpx4C9Fy9JWJdQm23qg9n7DfMw2JePTs9pLCMFfBTJ4BAfzoHduuCjAT9qg98tAn8HZ",
"assets": [
{
"tokenId": "b8fa5ce40d7f3bcb9e5c261ac05d356b1ec1f4bb93d75b12547959f680b0fd19",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS-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": "110680a8d6b907c2ff86218c163c8087a70e10",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000,34660321,1414,30,15000000,8]"
}
}
}
],
"dataInputs": [
{
"boxId": "32a0fa9157e74e7253cafa9e92fb23442e458cda1a1b09908ca53e6a9c9a601a",
"value": 1000000,
"index": 0,
"outputBlockId": "5bfdd9360ab46907bb5ef1078d85ea0680a142cd9b16a6566e5a500ed6b91fc5",
"outputTransactionId": "d62cddc08e04a2d9a67498018c5015bda5dbee67b817da177bdcee1768b9c026",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05e4adbb01",
"sigmaType": "SLong",
"renderedValue": "1534834"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "4c297a9f70344ddf374c106d7b6d2a5a1dbce09992e6986a9911c1bae637f5b7",
"value": 19174134013340,
"index": 1,
"outputBlockId": "ac6d9aa2a5bd398d5d63b142e40d5333d099e60888a29546f17ba6c7284b48e4",
"outputTransactionId": "745fea7b85cd826acd75b06a78fc9c2e2977746ab5ce9910f3ba694c5140d29e",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "6424c62beb81867f24138fc40a907068da03eb5e8f1c2c4e17d008435f3c0f55",
"transactionId": "b1eed2abfa73a7d07067ca38e0ba616042d9542e34d7872525ac2b6f99a430fd",
"blockId": "92552c43d0d17c97ec3f7c561fd44a7271d0ccee7a94a7f40c15e3ef8ea00eba",
"value": 483000000,
"index": 0,
"globalIndex": 48113547,
"creationHeight": 1535768,
"settlementHeight": 1535769,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-50,-93,-119,83,89,12,-57,-13,-120,45,94,-32,78,-123,41,113,-87,-33,-60,33,-125,-73,-107,-80,81,-123,26,-85,26,77,8,100)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(23,-65,119,-10,93,95,-115,20,47,126,-7,-19,-121,-7,35,-88,17,9,124,-60,59,10,-51,100,-59,-29,-61,124,-79,47,-6,-15)\n8: 0\n9: 1\n10: 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)\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 0\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 1\n24: 2\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 0\n32: 1\n33: 1\n34: 1000000\n35: 1000\n36: 1000\n37: 1000000\n38: 5\n39: 1000000\n40: 100000000\n41: 100000000\n42: 0\n43: 0\n44: 0\n45: 100000000\n46: 0\n47: 1\n48: 3\n49: 2\n50: 3\n51: 1000\n52: 1\n53: 1\n54: 980000\n55: 1000000\n56: CBigInt(1)\n57: 0\n58: 0\n59: 0\n60: 0\n61: -1\n62: 1\n63: 1\n64: 0\n65: 1000000\n66: 1000000\n67: 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.tokens\n val tuple6 = coll5(placeholder[Int](3))\n val coll7 = tuple6._1\n val coll8 = SELF.R4[Coll[Byte]].get\n val ge9 = SELF.R5[GroupElement].get\n val l10 = SELF.R6[Long].get\n val coll11 = SELF.R9[Coll[Long]].get\n val l12 = SELF.value\n val bi13 = placeholder[BigInt](4)\n val bi14 = CONTEXT.dataInputs.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](5)) && (coll16(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7))\n })(placeholder[Int](8)).R5[BigInt].get\n val l15 = tuple6._2\n val bi16 = l15.toBigInt\n val coll17 = coll5.slice(placeholder[Int](9), coll5.size)\n val coll18 = placeholder[Coll[Byte]](10)\n val func19 = {(box19: Box) =>\n val coll21 = box19.propositionBytes\n val coll22 = blake2b256(coll21)\n val bool23 = coll22 == coll4\n bool23\n }\n val coll20 = OUTPUTS.filter(func19)\n val box21 = coll20.getOrElse(placeholder[Int](11), SELF)\n val coll22 = box21.tokens\n val tuple23 = coll22(placeholder[Int](12))\n val l24 = coll11(placeholder[Int](13))\n val bool25 = INPUTS.filter({(box25: Box) => box25.propositionBytes == coll3 }).size == placeholder[Int](14)\n val l26 = coll11(placeholder[Int](15))\n val l27 = coll11(placeholder[Int](16))\n val bi28 = bi16 * bi14 / bi13\n val box29 = coll20.getOrElse(placeholder[Int](17), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](18))\n val func32 = {(box32: Box) =>\n val coll34 = box32.propositionBytes\n val coll35 = blake2b256(coll34)\n val bool36 = coll35 == coll4\n bool36\n }\n val coll33 = OUTPUTS.filter(func32)\n val box34 = coll33.getOrElse(placeholder[Int](19), SELF)\n val coll35 = box34.tokens\n val tuple36 = coll35(placeholder[Int](20))\n if (coll2.size > placeholder[Int](21)) {(\n val coll37 = OUTPUTS.filter({(box37: Box) => box37.propositionBytes == coll3 })\n val func38 = func19\n val coll39 = coll20\n val box40 = coll2.getOrElse(placeholder[Int](22), SELF)\n val coll41 = box40.R4[Coll[Long]].get\n val l42 = coll41(placeholder[Int](23))\n val l43 = coll41(placeholder[Int](24))\n if (coll37.size > placeholder[Int](25)) {(\n val box44 = coll37.getOrElse(placeholder[Int](26), SELF)\n val l45 = box44.value\n val coll46 = box44.tokens\n val tuple47 = coll46(placeholder[Int](27))\n val coll48 = box44.R8[Coll[Byte]].get\n val bool49 = (\n ((((tuple47._1 == coll7) && (box44.R4[Coll[Byte]].get == coll8)) && (box44.R5[GroupElement].get == ge9)) && (box44.R7[Coll[Byte]].get == coll1)) && (\n SELF.R8[Coll[Byte]].get == coll48\n )\n ) && (\n OUTPUTS.map({(box49: Box) => box49.id }).indexOf(box44.id, placeholder[Int](28)) == box40.R9[Coll[Int]].get(placeholder[Int](29)) - placeholder[Int](30)\n )\n val l50 = tuple47._2\n val l51 = box44.R6[Long].get\n val coll52 = box44.R9[Coll[Long]].get\n val bool53 = coll52 == coll11\n if (coll39.size > placeholder[Int](31)) {(\n val bi54 = l50.toBigInt\n val box55 = box21\n val coll56 = coll22\n val tuple57 = coll56(placeholder[Int](32))\n val tuple58 = tuple23\n sigmaProp(\n (\n (\n (\n (\n (\n (\n ((bool49 && (l45 >= l12)) && (bi54 >= bi16 - tuple57._2.toBigInt * bi13 / bi14)) && (\n coll46.slice(placeholder[Int](33), coll46.size) == coll17\n )\n ) && (l51 == l10)\n ) && bool53\n ) && (((box55.value >= placeholder[Long](34)) && (tuple58._1 == coll7)) && (tuple57._1 == coll18))\n ) && (tuple58._2 == l15 - l50)\n ) && (l42.toBigInt >= bi54 * bi14 / bi13 * l24.toBigInt / placeholder[Int](35).toBigInt)\n ) && bool25\n )\n )} else {(\n val bi54 = l42.toBigInt\n val i55 = placeholder[Int](36)\n val bi56 = l50.toBigInt * bi14 / bi13 * l24.toBigInt / i55.toBigInt\n val bool57 = bi54 >= bi56\n sigmaProp(\n (\n (\n (\n (((bool49 && (l45 >= l12 - placeholder[Long](37))) && (coll46 == coll5)) && (l51 > HEIGHT.toLong + l26)) && (\n l51 < HEIGHT.toLong + l26 + placeholder[Long](38)\n )\n ) && (bi54 < bi56)\n ) && bool53\n ) && bool25\n ) || sigmaProp(\n (\n (\n (\n (((bool49 && (l45 >= l12 - placeholder[Long](39))) && (coll46 == coll5)) && (l10 != placeholder[Long](40))) && (l51 == placeholder[Long](41))\n ) && bool57\n ) && bool53\n ) && bool25\n ) || sigmaProp(INPUTS.filter({(box58: Box) =>\n val coll60 = box58.tokens\n (coll60.size > placeholder[Int](42)) && (coll60(placeholder[Int](43))._1 == coll48)\n }).size > placeholder[Int](44)) || proveDlog(ge9) && sigmaProp(\n (\n (\n (\n (\n (\n (((bool49 && (l45 >= l27)) && (bi54 >= bi28 * l43.toBigInt / i55.toBigInt)) && (tuple47 == tuple6)) && (l51 == placeholder[Long](45))\n ) && bool57\n ) && ((coll52(placeholder[Int](46)) == l43) && (coll52(placeholder[Int](47)) == coll41(placeholder[Int](48))))\n ) && bool25\n ) && (coll52(placeholder[Int](49)) == l26)\n ) && (coll52(placeholder[Int](50)) == l27)\n )\n )}\n )} else {(\n val bi44 = l42.toBigInt\n val i45 = placeholder[Int](51)\n val box46 = box29\n val coll47 = coll30\n val tuple48 = tuple31\n val tuple49 = coll47(placeholder[Int](52))\n val bi50 = bi44 - bi28\n val bi51 = coll11(placeholder[Int](53)).toBigInt\n val bi52 = bi50 * i45.toBigInt - bi51 / i45.toBigInt\n val l53 = tuple49._2\n sigmaProp(\n (\n (\n (\n (\n (\n ((bi44 <= bi28 * l24.toBigInt / i45.toBigInt) && (HEIGHT.toLong >= l10)) || (\n HEIGHT.toLong > SELF.creationInfo._1.toLong + placeholder[Long](54)\n )\n ) && (((box46.value >= placeholder[Long](55)) && (tuple48._1 == coll7)) && (tuple49._1 == coll18))\n ) && (tuple48._2 == l15)\n ) && if (bi52 < placeholder[BigInt](56)) { l53.toBigInt >= bi44 } else {(\n val tuple54 = OUTPUTS.filter({(box54: Box) => box54.propositionBytes == coll8 }).getOrElse(placeholder[Int](57), SELF).tokens(\n placeholder[Int](58)\n )\n ((l53.toBigInt >= bi28 + bi50 * bi51 / i45.toBigInt) && (tuple54._2.toBigInt >= bi52)) && (tuple54._1 == coll18)\n )}\n ) && (\n INPUTS.map({(box54: Box) => box54.id }).indexOf(SELF.id, placeholder[Int](59)) == box40.R9[Coll[Int]].get(placeholder[Int](60)) * placeholder[Int](\n 61\n ) - placeholder[Int](62)\n )\n ) && bool25\n )\n )}\n )} else {(\n val func37 = func32\n val coll38 = coll33\n val box39 = box34\n val coll40 = coll35\n val tuple41 = tuple36\n val tuple42 = coll40(placeholder[Int](63))\n val box43 = OUTPUTS.filter({(box43: Box) => box43.propositionBytes == coll8 }).getOrElse(placeholder[Int](64), SELF)\n sigmaProp(\n (\n (\n (\n (((box39.value >= placeholder[Int](65).toLong + placeholder[Long](66)) && (tuple41._1 == coll7)) && (tuple42._1 == coll18)) && (tuple41._2 == l15)\n ) && (tuple42._2.toBigInt > bi28)\n ) && ((box43.value >= l12 - placeholder[Long](67)) && (box43.tokens == coll17))\n ) && bool25\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "92e265643e8a6235d0ee9a418a8baff7695f120634dbf7b8e7af9617017dc5b2",
"index": 0,
"amount": 5000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e20b8fa5ce40d7f3bcb9e5c261ac05d356b1ec1f4bb93d75b12547959f680b0fd19",
"sigmaType": "Coll[SByte]",
"renderedValue": "b8fa5ce40d7f3bcb9e5c261ac05d356b1ec1f4bb93d75b12547959f680b0fd19"
},
"R9": {
"serializedValue": "11048c163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1414,30,8,15000000]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "d7122d4c45a137767ff521521c0c49719365a5849560879607200998e55b8371",
"mainChain": true
},
{
"boxId": "6ece8acd9acd2bf786b9ced246ff92455e10cabcbe572146229096aef43852e6",
"transactionId": "b1eed2abfa73a7d07067ca38e0ba616042d9542e34d7872525ac2b6f99a430fd",
"blockId": "92552c43d0d17c97ec3f7c561fd44a7271d0ccee7a94a7f40c15e3ef8ea00eba",
"value": 2000000,
"index": 1,
"globalIndex": 48113548,
"creationHeight": 1535768,
"settlementHeight": 1535769,
"ergoTree": "100f04000e20524b297d0f92a5984816632a3bfa1a68e76e94efc7de1ffe22bbd0b8e1cbc3b0040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(82,75,41,125,15,-110,-91,-104,72,22,99,42,59,-6,26,104,-25,110,-108,-17,-57,-34,31,-2,34,-69,-48,-72,-31,-53,-61,-80)\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": "r5zW3yf5AQrM57st16pUewBc7eKGXH7RWSPj5ZyiEVGQcyFJW9VUBteH7utr4NZxmNnug7QyAFiJDke5UVqMSXg44VPiczD4mBWuynsGJiQhD47UNQVXAwJ6JiPUMesNjNJ123ieSwSxLqcXcSmnzyPQrRmgWBqAUEzPbComLzG53iiqhM94uLTvU7zZohbF8Ur8xjCpJ9c7iSF7mxB2ttR77v74x4q7C7qfLxmrcEVeNQQPmjfjNCZhCk9g63Lk53rA8PPNKAu8hYcnXMLV4z4MxMK2CECnmhkjE8LrT6AYoUi2dtTtu39powqvT2tBGUv4GAFNG4UPfMEeR2q",
"assets": [
{
"tokenId": "92e265643e8a6235d0ee9a418a8baff7695f120634dbf7b8e7af9617017dc5b2",
"index": 0,
"amount": 5000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 5000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "8be6413836f71515674cd7989e7ffc205c19b7c1709917596b30d05826cf201a",
"mainChain": true
},
{
"boxId": "f0df3f568809874bebd1a7c994e28dfc06d29bce8cc97e651f05335afa2bb8c2",
"transactionId": "b1eed2abfa73a7d07067ca38e0ba616042d9542e34d7872525ac2b6f99a430fd",
"blockId": "92552c43d0d17c97ec3f7c561fd44a7271d0ccee7a94a7f40c15e3ef8ea00eba",
"value": 1000000,
"index": 2,
"globalIndex": 48113549,
"creationHeight": 1535768,
"settlementHeight": 1535769,
"ergoTree": "102a04000400040004000402040004000402040104020402060100060102060164060203e8050004040480ade2040580c0a8ca9a3a0402040404020406053c04000500040404020404040204000404050004020400040004080408040a040a04000400d81dd601b2b5a5d9010163d801d603db63087201ed91b17203730093b27203730100b2db6308a7730200730300d602e4c67201051ad603e4c672010611d604db6501fed605e4c672010910d606b27205730400d607b27204720600d608db63087207d609b27205730500d60a959172097306b2a5997209730700b2a4999c72097308730900d60b7ec1720a06d60cb472049a7206730ab17204d60de4c672010711d60e730bd60f730cd610730dd611730ed612999a720bb0dc0c1d720c01720d720ed90112424d63d804d6148c721202d6158c721402d6168c721401d6178c72120195917215730fd803d6187e721506d6197ee4c67216040406d61a7e8cb2db6308721673100002069a72179d9c9c7ec1721606721872199a9c9a721a9d9c721a720f721072119c7218721972177e731106d6137ee4c67207040406d6147ec1720706d615e4c672010411d6167312d617db6308720ad618b17217d619e4c67201081ad61ab472027313b17202d61bb1720cd61cb1720dd61de4c6a70411d1ededededededededededededed93c27201c2a7ed937202e4c6a7051a937203e4c6a70611939d9c9c7e8cb272087314000206721272139a9c9a72149d9c7214720f721072119c721272137eb272157315000693b272157316007317939d9a9d9c9c720b7e7216067eb27203731800067212b0db0c0e720d720ed9011e4204d803d6208c721e02d621b2720d722000d6228c721e01959172217319d804d623b2720c722000d6247e722106d6257ee4c67223040406d6267e8cb2db63087223731a0002069a72229d9c9c9d9c9c7ec1722306722472259a9c9a72269d9c7226720f721072119c722472257e7216067eb2b47203731bb1720372200006721272227e7216067eb27215731c0006afb47217731d7218d9011e4d0eaedc0c1d721901720dd901204d0e937220721eafdb0c0e721ad9011e04d801d620db6308b2720c721e00ed93b2721a721e008cb27220731e000193b27219721e008cb27220731f0001ed93721b721c93721bb1721a93721cb1721993b1b5720dd9011e0593721e732099721c997218732193b2721d732200b2721573230093b2721d732400b2721573250093b2721d732600b27215732700938cb2720873280001b27202732900",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 4\n37: 4\n38: 5\n39: 5\n40: 0\n41: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n val coll29 = SELF.R4[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && ((coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get))\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple30: (BigInt, Int)) =>\n val i32 = tuple30._2\n val l33 = coll13(i32)\n val bi34 = tuple30._1\n if (l33 > placeholder[Long](25)) {(\n val box35 = coll12(i32)\n val bi36 = l33.toBigInt\n val bi37 = box35.R4[Int].get.toBigInt\n val bi38 = box35.tokens(placeholder[Int](26))._2.toBigInt\n bi34 + box35.value.toBigInt * bi36 * bi37 / bi38 + bi38 * bi15 / bi16 * bi17 + bi36 * bi37 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i32).toBigInt / bi18\n )} else { bi34 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple30: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple32: (Coll[Byte], Long)) => tuple32 == tuple30 }) }\n )\n ) && coll26.indices.forall({(i30: Int) =>\n val coll32 = coll12(i30).tokens\n (coll26(i30) == coll32(placeholder[Int](30))._1) && (coll25(i30) == coll32(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l30: Long) => l30 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (coll29(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll29(placeholder[Int](36)) == coll21(placeholder[Int](37)))\n ) && (coll29(placeholder[Int](38)) == coll21(placeholder[Int](39)))\n ) && (coll8(placeholder[Int](40))._1 == coll2(placeholder[Int](41)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "b8fa5ce40d7f3bcb9e5c261ac05d356b1ec1f4bb93d75b12547959f680b0fd19",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS-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": "10020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1]"
},
"R4": {
"serializedValue": "110680a8d6b907facee31c8c163c8087a70e10",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000,30176189,1414,30,15000000,8]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "6d2f35cc0098f2d953525aae456a51a74ecaa58fbe83f402d66822afea0d7b28",
"transactionId": "b1eed2abfa73a7d07067ca38e0ba616042d9542e34d7872525ac2b6f99a430fd",
"blockId": "92552c43d0d17c97ec3f7c561fd44a7271d0ccee7a94a7f40c15e3ef8ea00eba",
"value": 1000000,
"index": 3,
"globalIndex": 48113550,
"creationHeight": 1535768,
"settlementHeight": 1535769,
"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": "93848f0e2ccce5d7010d0be6b5981814e6514b7b9ffdec73c5ffe6f0477f71e5",
"mainChain": true
}
],
"size": 3432,
"isUnconfirmed": false
}