Transaction
ID: cb9949f7b6...f715
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1237499 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
1
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1206499 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 829,134
Total coins transferred: 0.1258499 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000036 ERG
Raw Transaction Data
{
"id": "cb9949f7b6e8f9fe7dbffd4fe2139145cebf54a8e96a78ebda4be8d64f6df715",
"blockId": "ac125d12942ef42e65627469b322f6139c1d07e7feb1d2361acc398f80bab370",
"inclusionHeight": 932378,
"timestamp": 1675435278416,
"index": 5,
"globalIndex": 4707636,
"numConfirmations": 829134,
"inputs": [
{
"boxId": "713c5c2b7ceecf2df39e43e913796393310af8348fcb5e90ca326a2ec478cbac",
"value": 2100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7df1676284cc45c1a2f2e39cb50eeca42ca47e29da743ed8c163429e2e43ad8f",
"outputTransactionId": "6d377b1bf996ac4a1eb30bf6effffc2eb0ab2a024a2768fc4e3766ce1f5c1cbe",
"outputIndex": 0,
"outputGlobalIndex": 26213960,
"outputCreatedAt": 932298,
"outputSettledAt": 932301,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 6\n6: 5\n7: 1000000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 3\n17: 1\n18: 1\n19: 0\n20: 86400000\n21: 1\n22: 0\n23: 1\n24: 3\n25: 2\n26: 1\n27: 2\n28: 1\n29: 3\n30: 2000000\n31: 1\n32: 1\n33: 0\n34: false\n35: 2\n36: 4\n37: 1\n38: 0\n39: 2\n40: 0\n41: 0\n42: 0\n43: 1\n44: 0\n45: 0\n46: 1\n47: 3\n48: 0\n49: false\n50: 1\n51: 3\n52: 1000000\n53: 1\n54: 1000000\n55: 1\n56: 1\n57: false\n58: 0\n59: 1\n60: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](3)\n val box13 = OUTPUTS(placeholder[Int](4))\n val coll14 = box13.propositionBytes\n val coll15 = prop9.propBytes\n val l16 = SELF.value\n val coll17 = box7.R8[Coll[Long]].get\n val l18 = coll17(placeholder[Int](5))\n val l19 = coll17(placeholder[Int](6))\n val l20 = box13.value\n val l21 = l18 + placeholder[Long](7)\n val coll22 = box7.R5[Coll[Byte]].get\n val bool23 = if (coll14 == SELF.propositionBytes) {\n (\n (((l20 >= l21) && (box13.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box13.R5[Coll[Byte]].get == coll22)) && (\n box13.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box13.R7[Box].get == box7)\n } else { placeholder[Boolean](8) }\n val coll24 = box13.tokens\n val tuple25 = coll24.getOrElse(placeholder[Int](9), tuple2)\n val coll26 = tuple25._1\n val tuple27 = coll24.getOrElse(placeholder[Int](10), tuple2)\n val coll28 = tuple27._1\n val bool29 = coll17(placeholder[Int](11)) == placeholder[Long](12)\n val l30 = tuple3._2\n val l31 = coll17(placeholder[Int](13))\n val l32 = tuple25._2\n val l33 = coll17(placeholder[Int](14))\n val box34 = OUTPUTS(placeholder[Int](15))\n val coll35 = box34.tokens\n val l36 = CONTEXT.preHeader.timestamp\n val l37 = coll17(placeholder[Int](16))\n val bool38 = l36 > l37\n val bool39 = bool6 && (l30 == placeholder[Long](17))\n val bool40 = if (coll17(placeholder[Int](18)) == placeholder[Long](19)) { (bool39 && bool38) && (l36 < l37 + placeholder[Long](20)) } else {\n bool39 && (l36 <= l37)\n }\n val tuple41 = coll1.getOrElse(placeholder[Int](21), tuple2)\n val l42 = tuple41._2\n val l43 = tuple27._2\n val tuple44 = coll35.getOrElse(placeholder[Int](22), tuple2)\n val coll45 = tuple44._1\n val l46 = tuple44._2\n prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n (\n (\n if ((bool10 && (INPUTS.size == placeholder[Int](23))) && (i11 == placeholder[Int](24))) {\n (\n (\n (\n (((bool23 && (l20 == l16 - l18 - l19)) && (l20 >= placeholder[Long](25) * l21)) && (coll26 == SELF.id)) && (\n (\n (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](26))) && (\n coll24.size == placeholder[Int](27)\n )\n ) || (\n ((!bool29) && (coll24.size == placeholder[Int](28))) && (\n l32 == l16 - placeholder[Long](29) * l18 - l19 - placeholder[Long](30) / l33 * l31 + placeholder[Long](31)\n )\n )\n )\n ) && (box34.propositionBytes == coll8(placeholder[Int](32)))\n ) && (coll35.size == placeholder[Int](33))\n ) && (box34.value >= l19)\n } else { placeholder[Boolean](34) } || if ((bool40 && (INPUTS.size == placeholder[Int](35))) && (i11 == placeholder[Int](36))) {(\n val l47 = if (bool29) { l42 - l43 } else { l16 - l20 }\n val l48 = if (bool29) { l47 / l31 } else { l47 / l33 * l31 }\n val tuple49 = INPUTS(placeholder[Int](37)).tokens.getOrElse(placeholder[Int](38), tuple2)\n val box50 = OUTPUTS(placeholder[Int](39))\n val coll51 = box50.tokens\n val tuple52 = coll51.getOrElse(placeholder[Int](40), tuple2)\n (\n (\n ((l48 == if (tuple49._1 == box7.id) { tuple49._2 } else { placeholder[Long](41) }) && bool23) && (\n (\n (\n (\n ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l43 == placeholder[Long](42)))) && (coll45 == coll22)) && (l46 == l47)) && (\n coll35.size == placeholder[Int](43)\n )\n ) && (box50.value >= l48 * l33 * l31)\n ) && (coll51.size == placeholder[Int](44))\n ) || (\n (((((!bool29) && (box34.value >= l47)) && (coll35.size == placeholder[Int](45))) && (tuple52._1 == coll22)) && (tuple52._2 >= l48 * l31)) && (\n coll51.size == placeholder[Int](46)\n )\n )\n )\n ) && (box50.propositionBytes == coll15)\n ) && (OUTPUTS(placeholder[Int](47)).tokens.size == placeholder[Int](48))\n )} else { placeholder[Boolean](49) }\n ) || if (((bool6 && (!bool39)) && (INPUTS.size == placeholder[Int](50))) && (i11 == placeholder[Int](51))) {\n (\n (\n (\n (\n (((((l20 == l16 - l18 - placeholder[Long](52)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](53))) && (tuple27 == tuple41)) && (\n box34.propositionBytes == coll15\n )\n ) && (box34.value == placeholder[Long](54))\n ) && (coll35.size == placeholder[Int](55))\n ) && (coll45 == coll4)\n ) && (l46 == l30 - placeholder[Long](56))\n } else { placeholder[Boolean](57) }\n ) || if ((bool38 && (!bool40)) || if (bool29) { bool39 && (l42 == placeholder[Long](58)) } else { bool39 && (l16 == l21) }) {\n ((((bool12 && (coll14 == coll15)) && (l20 >= l16 - l18)) && (coll26 == tuple41._1)) && (l32 == l42)) && (coll24.size <= placeholder[Int](59))\n } else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1",
"index": 0,
"amount": 1,
"name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 1,
"amount": 1000,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2d43616c6c5f415f66616b655553445f4552475f3132303634393939395f323032332d30352d30355f7065725f31",
"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f415f66616b655553445f4552475f3132303634393939395f323032332d30352d30355f7065725f31"
},
"R5": {
"serializedValue": "0e20777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"sigmaType": "Coll[SByte]",
"renderedValue": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33"
},
"R6": {
"serializedValue": "0e0132",
"sigmaType": "Coll[SByte]",
"renderedValue": "32"
},
"R7": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
}
}
},
{
"boxId": "db08fdb328a727c49c34dbe286d3e1d94f2634e04038c5f4d85884edffa8fd7b",
"value": 123749900,
"index": 1,
"spendingProof": null,
"outputBlockId": "ac125d12942ef42e65627469b322f6139c1d07e7feb1d2361acc398f80bab370",
"outputTransactionId": "2cc4178d1ebdd6d53488b5e902200e2d8034ccf93521727fe15d9f1bf6631032",
"outputIndex": 0,
"outputGlobalIndex": 26216036,
"outputCreatedAt": 932375,
"outputSettledAt": 932378,
"ergoTree": "10150e20edc5ce312faa01dadd5a46f7cac4c3a6d4711fefb5761cbac6e4b0ee56a1205d0500040004020400040004080500040005000404040805000500040c0580897a01000500050201000100d808d601e4c6a70408d6027300d60386028300027301d604b2db6308a77302017203d6058c720402d606b2a5730300d607b2db630872067304017203d6088c720702eb02ea027201d194cbc2b2a57305007202d195ed93b1a573069172057307d807d609e4c6a70563d60a938c720401c57209d60be4c672090811d60cb2720b730800d60dc17206d60e9c95720a72057309b2720b730a00d60f9c720eb2720b730b00ededed720a93cbc27209720293c27206d07201ec95ed917208730c93720c730deded92720d999999c1a7b2720b730e00730f720f938c720701e4c67209050e937208720e731095ed937208731193720c731292720d720f73137314",
"ergoTreeConstants": "0: Coll(-19,-59,-50,49,47,-86,1,-38,-35,90,70,-9,-54,-60,-61,-90,-44,113,31,-17,-75,118,28,-70,-58,-28,-80,-18,86,-95,32,93)\n1: 0\n2: 0\n3: 1\n4: 0\n5: 0\n6: 4\n7: 0\n8: 0\n9: 0\n10: 2\n11: 4\n12: 0\n13: 0\n14: 6\n15: 1000000\n16: false\n17: 0\n18: 1\n19: false\n20: false",
"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val coll2 = placeholder[Coll[Byte]](0)\n val tuple3 = (Coll[Byte](), placeholder[Long](1))\n val tuple4 = SELF.tokens.getOrElse(placeholder[Int](2), tuple3)\n val l5 = tuple4._2\n val box6 = OUTPUTS(placeholder[Int](3))\n val tuple7 = box6.tokens.getOrElse(placeholder[Int](4), tuple3)\n val l8 = tuple7._2\n prop1 && sigmaProp(blake2b256(OUTPUTS(placeholder[Int](5)).propositionBytes) != coll2) || sigmaProp(\n if ((OUTPUTS.size == placeholder[Int](6)) && (l5 > placeholder[Long](7))) {(\n val box9 = SELF.R5[Box].get\n val bool10 = tuple4._1 == box9.id\n val coll11 = box9.R8[Coll[Long]].get\n val l12 = coll11(placeholder[Int](8))\n val l13 = box6.value\n val l14 = if (bool10) { l5 } else { placeholder[Long](9) } * coll11(placeholder[Int](10))\n val l15 = l14 * coll11(placeholder[Int](11))\n ((bool10 && (blake2b256(box9.propositionBytes) == coll2)) && (box6.propositionBytes == prop1.propBytes)) && (\n if ((l8 > placeholder[Long](12)) && (l12 == placeholder[Long](13))) {\n ((l13 >= SELF.value - coll11(placeholder[Int](14)) - placeholder[Long](15) - l15) && (tuple7._1 == box9.R5[Coll[Byte]].get)) && (l8 == l14)\n } else { placeholder[Boolean](16) } || if ((l8 == placeholder[Long](17)) && (l12 == placeholder[Long](18))) { l13 >= l15 } else {\n placeholder[Boolean](19)\n }\n )\n )} else { placeholder[Boolean](20) }\n )\n}",
"address": "2k6W1ZgQrU9znngCRDLe6UXMtkJGtvjc7Dm5pGN88KwSJynde4qUKYT3SQj2DwYxWhiJJBd73cnMDjt6mWJkFrKdRU3Z2gpephqejHnZVAe5mpCLvqqREJYDoV9Q9p5xzDJJzE43RKmGDc2M9rdNzYh9z6LSmwpJQXqftZfMoqK29Qjr1oC1v7qpk57CcCSL9G8d68QjEbDVNnnZTcnXcGcWLCfcjEamwCq9wEavTWLmn73xefYmNvBDjZLQv8XgGY3hjNTRsJ8YXt3KjMYnSBAgSjG6obxtNs1KJSJNPFYhBU1R1yHBxt3kjCwxVfC154q4ydoBGpRx49ZDERxxiahTpxqRvzYw6Nm2dZzwCmnME5MMNZoeyySdKZnLZPy3s9HF26ef7RqNAxcLemNkfwGijnAFv6ikj7TtX4RW4NofDq4gjTeaKFZFpt9tUGZdxjomJ8GNJ7sp",
"assets": [
{
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"index": 0,
"amount": 100,
"name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R5": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "d89198012c94bf66ec7a5485226ac4d039f9a7c7fcb1a92c810aea4aa52bd204",
"transactionId": "cb9949f7b6e8f9fe7dbffd4fe2139145cebf54a8e96a78ebda4be8d64f6df715",
"blockId": "ac125d12942ef42e65627469b322f6139c1d07e7feb1d2361acc398f80bab370",
"value": 2100000,
"index": 0,
"globalIndex": 26216073,
"creationHeight": 932376,
"settlementHeight": 932378,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 6\n6: 5\n7: 1000000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 3\n17: 1\n18: 1\n19: 0\n20: 86400000\n21: 1\n22: 0\n23: 1\n24: 3\n25: 2\n26: 1\n27: 2\n28: 1\n29: 3\n30: 2000000\n31: 1\n32: 1\n33: 0\n34: false\n35: 2\n36: 4\n37: 1\n38: 0\n39: 2\n40: 0\n41: 0\n42: 0\n43: 1\n44: 0\n45: 0\n46: 1\n47: 3\n48: 0\n49: false\n50: 1\n51: 3\n52: 1000000\n53: 1\n54: 1000000\n55: 1\n56: 1\n57: false\n58: 0\n59: 1\n60: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](3)\n val box13 = OUTPUTS(placeholder[Int](4))\n val coll14 = box13.propositionBytes\n val coll15 = prop9.propBytes\n val l16 = SELF.value\n val coll17 = box7.R8[Coll[Long]].get\n val l18 = coll17(placeholder[Int](5))\n val l19 = coll17(placeholder[Int](6))\n val l20 = box13.value\n val l21 = l18 + placeholder[Long](7)\n val coll22 = box7.R5[Coll[Byte]].get\n val bool23 = if (coll14 == SELF.propositionBytes) {\n (\n (((l20 >= l21) && (box13.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box13.R5[Coll[Byte]].get == coll22)) && (\n box13.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box13.R7[Box].get == box7)\n } else { placeholder[Boolean](8) }\n val coll24 = box13.tokens\n val tuple25 = coll24.getOrElse(placeholder[Int](9), tuple2)\n val coll26 = tuple25._1\n val tuple27 = coll24.getOrElse(placeholder[Int](10), tuple2)\n val coll28 = tuple27._1\n val bool29 = coll17(placeholder[Int](11)) == placeholder[Long](12)\n val l30 = tuple3._2\n val l31 = coll17(placeholder[Int](13))\n val l32 = tuple25._2\n val l33 = coll17(placeholder[Int](14))\n val box34 = OUTPUTS(placeholder[Int](15))\n val coll35 = box34.tokens\n val l36 = CONTEXT.preHeader.timestamp\n val l37 = coll17(placeholder[Int](16))\n val bool38 = l36 > l37\n val bool39 = bool6 && (l30 == placeholder[Long](17))\n val bool40 = if (coll17(placeholder[Int](18)) == placeholder[Long](19)) { (bool39 && bool38) && (l36 < l37 + placeholder[Long](20)) } else {\n bool39 && (l36 <= l37)\n }\n val tuple41 = coll1.getOrElse(placeholder[Int](21), tuple2)\n val l42 = tuple41._2\n val l43 = tuple27._2\n val tuple44 = coll35.getOrElse(placeholder[Int](22), tuple2)\n val coll45 = tuple44._1\n val l46 = tuple44._2\n prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n (\n (\n if ((bool10 && (INPUTS.size == placeholder[Int](23))) && (i11 == placeholder[Int](24))) {\n (\n (\n (\n (((bool23 && (l20 == l16 - l18 - l19)) && (l20 >= placeholder[Long](25) * l21)) && (coll26 == SELF.id)) && (\n (\n (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](26))) && (\n coll24.size == placeholder[Int](27)\n )\n ) || (\n ((!bool29) && (coll24.size == placeholder[Int](28))) && (\n l32 == l16 - placeholder[Long](29) * l18 - l19 - placeholder[Long](30) / l33 * l31 + placeholder[Long](31)\n )\n )\n )\n ) && (box34.propositionBytes == coll8(placeholder[Int](32)))\n ) && (coll35.size == placeholder[Int](33))\n ) && (box34.value >= l19)\n } else { placeholder[Boolean](34) } || if ((bool40 && (INPUTS.size == placeholder[Int](35))) && (i11 == placeholder[Int](36))) {(\n val l47 = if (bool29) { l42 - l43 } else { l16 - l20 }\n val l48 = if (bool29) { l47 / l31 } else { l47 / l33 * l31 }\n val tuple49 = INPUTS(placeholder[Int](37)).tokens.getOrElse(placeholder[Int](38), tuple2)\n val box50 = OUTPUTS(placeholder[Int](39))\n val coll51 = box50.tokens\n val tuple52 = coll51.getOrElse(placeholder[Int](40), tuple2)\n (\n (\n ((l48 == if (tuple49._1 == box7.id) { tuple49._2 } else { placeholder[Long](41) }) && bool23) && (\n (\n (\n (\n ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l43 == placeholder[Long](42)))) && (coll45 == coll22)) && (l46 == l47)) && (\n coll35.size == placeholder[Int](43)\n )\n ) && (box50.value >= l48 * l33 * l31)\n ) && (coll51.size == placeholder[Int](44))\n ) || (\n (((((!bool29) && (box34.value >= l47)) && (coll35.size == placeholder[Int](45))) && (tuple52._1 == coll22)) && (tuple52._2 >= l48 * l31)) && (\n coll51.size == placeholder[Int](46)\n )\n )\n )\n ) && (box50.propositionBytes == coll15)\n ) && (OUTPUTS(placeholder[Int](47)).tokens.size == placeholder[Int](48))\n )} else { placeholder[Boolean](49) }\n ) || if (((bool6 && (!bool39)) && (INPUTS.size == placeholder[Int](50))) && (i11 == placeholder[Int](51))) {\n (\n (\n (\n (\n (((((l20 == l16 - l18 - placeholder[Long](52)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](53))) && (tuple27 == tuple41)) && (\n box34.propositionBytes == coll15\n )\n ) && (box34.value == placeholder[Long](54))\n ) && (coll35.size == placeholder[Int](55))\n ) && (coll45 == coll4)\n ) && (l46 == l30 - placeholder[Long](56))\n } else { placeholder[Boolean](57) }\n ) || if ((bool38 && (!bool40)) || if (bool29) { bool39 && (l42 == placeholder[Long](58)) } else { bool39 && (l16 == l21) }) {\n ((((bool12 && (coll14 == coll15)) && (l20 >= l16 - l18)) && (coll26 == tuple41._1)) && (l32 == l42)) && (coll24.size <= placeholder[Int](59))\n } else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1",
"index": 0,
"amount": 1,
"name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 1,
"amount": 900,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
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