Transaction
ID: 83b76e8c2d...cf0e
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.211172469 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.209172469 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
0
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: 226,925
Total coins transferred: 0.213172469 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000268 ERG
Raw Transaction Data
{
"id": "83b76e8c2d4a7eef2d6117e8432d8485d3fdd1fcd0a25db916477bc81221cf0e",
"blockId": "511633a6966907cc35db3e25f53020806452f29b41767f356cdcf48c0e264d02",
"inclusionHeight": 1536884,
"timestamp": 1748691222727,
"index": 2,
"globalIndex": 9031144,
"numConfirmations": 226925,
"inputs": [
{
"boxId": "e05ee4aea95f31c0ed89785a8d7abfa6a852fda65b8e31f9b538c1ee36ef7a39",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f84725ba084653545703694ce19346f4553e0c9b99c01667c4ffd33bcbefe6b3",
"outputTransactionId": "ae9170b24e3337c8f41cc84c0dcb5b580ac7aa333280b1d33875138d1c2659ca",
"outputIndex": 0,
"outputGlobalIndex": 48144086,
"outputCreatedAt": 1536841,
"outputSettledAt": 1536843,
"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(33,50,12,50,10,-36,96,87,-64,-46,-52,-123,-114,4,-94,49,-80,-61,77,-120,-33,54,49,68,-33,-21,-46,-43,-116,-93,92,124)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-51,-84,-83,-99,38,71,8,-105,-45,-99,20,-98,87,92,44,-93,77,39,120,-66,-26,0,123,-14,-56,14,-116,0,-75,31,-58,-62)\n22: 0\n23: 0\n24: -1\n25: Coll(-15,111,-1,94,-87,-71,-72,-50,-127,41,-44,-112,26,104,107,45,-73,80,-123,61,88,88,108,-123,-50,65,124,-112,97,-20,-94,30)\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: 2\n47: 4\n48: 0\n49: -1\n50: 100000000\n51: 1\n52: 1000\n53: 0\n54: 0\n55: 0\n56: 1\n57: 4000000\n58: 0\n59: 1\n60: 3\n61: 2\n62: 5\n63: 3\n64: 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 tuple8 = coll3(placeholder[Int](8))\n val tuple9 = coll1(placeholder[Int](9))\n val coll10 = tuple9._1\n val bool11 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == tuple7._1)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple8._1 == coll10)\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 bi12 = placeholder[BigInt](11)\n val l13 = tuple8._2\n val l14 = tuple6._2\n val l15 = placeholder[Long](12) - l14\n val coll16 = CONTEXT.dataInputs\n val bi17 = coll16.filter({(box17: Box) =>\n val coll19 = box17.tokens\n (coll19.size > placeholder[Int](13)) && (coll19(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi18 = placeholder[BigInt](17)\n val bi19 = l15.toBigInt * bi17 / bi18\n val l20 = tuple9._2\n val l21 = tuple7._2\n val l22 = placeholder[Long](18) - l21\n val box23 = coll16.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](19)) && (coll25(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll24 = box23.R5[Coll[Byte]].get\n val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n val coll26 = box23.R6[Coll[Long]].get\n val l27 = l13 - l20\n val bool28 = l27 > placeholder[Long](23)\n val l29 = if (bool28) { l27 } else { l27 * placeholder[Long](24) }\n val bool30 = tuple4 == tuple5\n val l31 = l15 - l22\n val coll32 = OUTPUTS.filter({(box32: Box) => blake2b256(box32.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool11 && (tuple6 == tuple7)) && (\n bi12 * l13.toBigInt + bi19 / placeholder[Long](26) - tuple4._2.toBigInt > bi12 * l20.toBigInt + l22.toBigInt * bi17 / bi18 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll25.size > placeholder[Int](28)) {(\n val box33 = coll25(placeholder[Int](29))\n val tuple34 = box33.tokens(placeholder[Int](30))\n val l35 = coll26(placeholder[Int](31))\n val l36 = coll26(placeholder[Int](32))\n val l37 = coll26(placeholder[Int](33))\n val l38 = coll26(placeholder[Int](34))\n ((box33.propositionBytes == coll24) && (box33.value >= placeholder[Long](35))) && (\n (\n tuple34._2 >= max(\n if (l29 <= l35) { l29 / l36 } else {\n if (l29 <= l37) { l29 - l35 / l38 + l35 / l36 } else { l29 - l37 - l35 / coll26(placeholder[Int](36)) + l37 / l38 + l35 / l36 }\n }, coll26(placeholder[Int](37))\n )\n ) && (tuple34._1 == coll10)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool11 && bool30) && bool28) && (l31 < placeholder[Long](39)))\n ) || if (coll32.size > placeholder[Int](40)) {(\n val box33 = coll32(placeholder[Int](41))\n val l34 = box33.tokens(placeholder[Int](42))._2\n val bi35 = l34.toBigInt * bi17 / bi18\n val box36 = OUTPUTS.filter({(box36: Box) =>\n val coll38 = box36.tokens\n (coll38.size > placeholder[Int](43)) && box23.R4[Coll[Coll[Byte]]].get.exists({(coll39: Coll[Byte]) => (coll38(placeholder[Int](44))._1 == coll39) && (coll39 == box33.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll37 = box36.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](46))\n val l39 = box33.value\n val l40 = coll37(placeholder[Int](47))\n val coll41 = box33.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n ((((bool11 && bool30) && (l34 + l14 == l21)) && (l27 < placeholder[Long](48))) && (l27 * placeholder[Long](49).toBigInt == bi35)) && (\n l31 == l34\n )\n ) && (box33.R6[Long].get == placeholder[Long](50))\n ) && (coll37(placeholder[Int](51)).toBigInt >= bi35 * l38.toBigInt / placeholder[Int](52).toBigInt)\n ) && (bi19 < coll37(placeholder[Int](53)).toBigInt)\n ) && (\n OUTPUTS.map({(box42: Box) => box42.id }).indexOf(box33.id, placeholder[Int](54)) == box36.R9[Coll[Int]].get(placeholder[Int](55)) - placeholder[\n Int\n ](56)\n )\n ) && ((l39 > placeholder[Long](57)) && (l39 >= l40))\n ) && (\n (\n ((coll41(placeholder[Int](58)) == l38) && (coll41(placeholder[Int](59)) == coll37(placeholder[Int](60)))) && (\n coll41(placeholder[Int](61)) == coll37(placeholder[Int](62))\n )\n ) && (coll41(placeholder[Int](63)) == l40)\n )\n )} else { placeholder[Boolean](64) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "1319d28937b10fa1a42988cad1384f966f1b22ac223a0c47ab4e1ec6c7736e94",
"index": 0,
"amount": 1,
"name": "Pool NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "969fa7663601eed261a81f996a1254c5d0bd9a3c560b07638b79976927127c7c",
"index": 1,
"amount": 8999999999999986,
"name": "Lend Token SigUSD - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "72a1fca3fd2deff973b0a1177ed266ec4ea30c962e6562176fe90021560bf684",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token SigUSD - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 3,
"amount": 25,
"name": "SigUSD",
"decimals": 2,
"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": "a9040252b0a2b5554aec2657c9af4ba353ffa998f6d231a250096164ba3ca813",
"value": 211172469,
"index": 1,
"spendingProof": null,
"outputBlockId": "ed80b6a315cf7c3f4ed3f4e22bf1c4ba97a8fe1510668a39e9d75881b767d3a7",
"outputTransactionId": "e767e295cc50e34f886d355b13c86b5bb238ecc4ff94247f615a7f591af5a0b0",
"outputIndex": 0,
"outputGlobalIndex": 48144654,
"outputCreatedAt": 1536872,
"outputSettledAt": 1536874,
"ergoTree": "100201010415d1ed730091a37301",
"ergoTreeConstants": "0: true\n1: -11",
"ergoTreeScript": "{sigmaProp(placeholder[Boolean](0) && (HEIGHT > placeholder[Int](1)))}",
"address": "ZX4bTHCJW2Kp6Fj4W75KWka2m",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "11061414b416d804108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10,10,1434,300,8,15000000]"
},
"R6": {
"serializedValue": "04eacdbb01",
"sigmaType": "SInt",
"renderedValue": "1536885"
},
"R8": {
"serializedValue": "0e200da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3",
"sigmaType": "Coll[SByte]",
"renderedValue": "0da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "9273428e07934028c66dad5c7c6ab3a4f501b286f48f0cd824f0a8ab93ae05dc",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "bbe8866173d4789aca652a71f61e5c8f1d9f0ae691f92b8f0c3c347e6fc37e4f",
"outputTransactionId": "aefd3657d3ef1d8d61331b9a0303a270c02475c18eded598bcb3e91a3261a13c",
"outputIndex": 0,
"outputGlobalIndex": 48143618,
"outputCreatedAt": 1536817,
"outputSettledAt": 1536819,
"ergoTree": "1002010104d7bb01d1ed730091a37301",
"ergoTreeConstants": "0: true\n1: -12012",
"ergoTreeScript": "{sigmaProp(placeholder[Boolean](0) && (HEIGHT > placeholder[Int](1)))}",
"address": "BvWSwzcoVpzDDP5J75JNBMbq8vvL",
"assets": [
{
"tokenId": "0da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3",
"index": 0,
"amount": 1,
"name": "Logic NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1106a09c010000d8048087a70e10",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,0,0,300,15000000,8]"
},
"R5": {
"serializedValue": "1a01209916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
}
}
}
],
"dataInputs": [
{
"boxId": "b7d20eeee4d8db482a9aacf8729c5db51bcd0ff3ee81f47f6524b1cadde26103",
"value": 1000000,
"index": 0,
"outputBlockId": "bbe8866173d4789aca652a71f61e5c8f1d9f0ae691f92b8f0c3c347e6fc37e4f",
"outputTransactionId": "cfd0db8669d52784a022ad308be4bfef6fdb2932fa4415ffcd09e569f0cebd3d",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05deccbb01",
"sigmaType": "SLong",
"renderedValue": "1536815"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "f8d608ab21cff52d6b07957bcaa162ebd69aab2d9eaeb6c236518159ce23b29c",
"value": 1000000,
"index": 1,
"outputBlockId": "bbe8866173d4789aca652a71f61e5c8f1d9f0ae691f92b8f0c3c347e6fc37e4f",
"outputTransactionId": "9a6a5ca607880d5bfb33379d5ee3432b43f8b4c2cdaa4ea015cf4fb8ab079f7b",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01200da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[0da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "654ac440f9e887d1ac2b1a5d31edfc97a4ed4bbf3ba0569700a34f4ee3c94dd3",
"value": 153595416382141,
"index": 2,
"outputBlockId": "34da0d8258f6ef6b08c533b997842b839a29285b00bbf129aa25bf41c611bb0c",
"outputTransactionId": "2eab0716ef2c83e8a877197253eff8a69b12fe4e5c139f073f3d2c8aefaa8c74",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
}
],
"outputs": [
{
"boxId": "c3db9c79421d713487e33790d4d0943a1995e5576bed32107fb5c9b29014125a",
"transactionId": "83b76e8c2d4a7eef2d6117e8432d8485d3fdd1fcd0a25db916477bc81221cf0e",
"blockId": "511633a6966907cc35db3e25f53020806452f29b41767f356cdcf48c0e264d02",
"value": 1000000,
"index": 0,
"globalIndex": 48144889,
"creationHeight": 1536882,
"settlementHeight": 1536884,
"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(33,50,12,50,10,-36,96,87,-64,-46,-52,-123,-114,4,-94,49,-80,-61,77,-120,-33,54,49,68,-33,-21,-46,-43,-116,-93,92,124)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-51,-84,-83,-99,38,71,8,-105,-45,-99,20,-98,87,92,44,-93,77,39,120,-66,-26,0,123,-14,-56,14,-116,0,-75,31,-58,-62)\n22: 0\n23: 0\n24: -1\n25: Coll(-15,111,-1,94,-87,-71,-72,-50,-127,41,-44,-112,26,104,107,45,-73,80,-123,61,88,88,108,-123,-50,65,124,-112,97,-20,-94,30)\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: 2\n47: 4\n48: 0\n49: -1\n50: 100000000\n51: 1\n52: 1000\n53: 0\n54: 0\n55: 0\n56: 1\n57: 4000000\n58: 0\n59: 1\n60: 3\n61: 2\n62: 5\n63: 3\n64: 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 tuple8 = coll3(placeholder[Int](8))\n val tuple9 = coll1(placeholder[Int](9))\n val coll10 = tuple9._1\n val bool11 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == tuple7._1)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple8._1 == coll10)\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 bi12 = placeholder[BigInt](11)\n val l13 = tuple8._2\n val l14 = tuple6._2\n val l15 = placeholder[Long](12) - l14\n val coll16 = CONTEXT.dataInputs\n val bi17 = coll16.filter({(box17: Box) =>\n val coll19 = box17.tokens\n (coll19.size > placeholder[Int](13)) && (coll19(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi18 = placeholder[BigInt](17)\n val bi19 = l15.toBigInt * bi17 / bi18\n val l20 = tuple9._2\n val l21 = tuple7._2\n val l22 = placeholder[Long](18) - l21\n val box23 = coll16.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](19)) && (coll25(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll24 = box23.R5[Coll[Byte]].get\n val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n val coll26 = box23.R6[Coll[Long]].get\n val l27 = l13 - l20\n val bool28 = l27 > placeholder[Long](23)\n val l29 = if (bool28) { l27 } else { l27 * placeholder[Long](24) }\n val bool30 = tuple4 == tuple5\n val l31 = l15 - l22\n val coll32 = OUTPUTS.filter({(box32: Box) => blake2b256(box32.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool11 && (tuple6 == tuple7)) && (\n bi12 * l13.toBigInt + bi19 / placeholder[Long](26) - tuple4._2.toBigInt > bi12 * l20.toBigInt + l22.toBigInt * bi17 / bi18 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll25.size > placeholder[Int](28)) {(\n val box33 = coll25(placeholder[Int](29))\n val tuple34 = box33.tokens(placeholder[Int](30))\n val l35 = coll26(placeholder[Int](31))\n val l36 = coll26(placeholder[Int](32))\n val l37 = coll26(placeholder[Int](33))\n val l38 = coll26(placeholder[Int](34))\n ((box33.propositionBytes == coll24) && (box33.value >= placeholder[Long](35))) && (\n (\n tuple34._2 >= max(\n if (l29 <= l35) { l29 / l36 } else {\n if (l29 <= l37) { l29 - l35 / l38 + l35 / l36 } else { l29 - l37 - l35 / coll26(placeholder[Int](36)) + l37 / l38 + l35 / l36 }\n }, coll26(placeholder[Int](37))\n )\n ) && (tuple34._1 == coll10)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool11 && bool30) && bool28) && (l31 < placeholder[Long](39)))\n ) || if (coll32.size > placeholder[Int](40)) {(\n val box33 = coll32(placeholder[Int](41))\n val l34 = box33.tokens(placeholder[Int](42))._2\n val bi35 = l34.toBigInt * bi17 / bi18\n val box36 = OUTPUTS.filter({(box36: Box) =>\n val coll38 = box36.tokens\n (coll38.size > placeholder[Int](43)) && box23.R4[Coll[Coll[Byte]]].get.exists({(coll39: Coll[Byte]) => (coll38(placeholder[Int](44))._1 == coll39) && (coll39 == box33.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll37 = box36.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](46))\n val l39 = box33.value\n val l40 = coll37(placeholder[Int](47))\n val coll41 = box33.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n ((((bool11 && bool30) && (l34 + l14 == l21)) && (l27 < placeholder[Long](48))) && (l27 * placeholder[Long](49).toBigInt == bi35)) && (\n l31 == l34\n )\n ) && (box33.R6[Long].get == placeholder[Long](50))\n ) && (coll37(placeholder[Int](51)).toBigInt >= bi35 * l38.toBigInt / placeholder[Int](52).toBigInt)\n ) && (bi19 < coll37(placeholder[Int](53)).toBigInt)\n ) && (\n OUTPUTS.map({(box42: Box) => box42.id }).indexOf(box33.id, placeholder[Int](54)) == box36.R9[Coll[Int]].get(placeholder[Int](55)) - placeholder[\n Int\n ](56)\n )\n ) && ((l39 > placeholder[Long](57)) && (l39 >= l40))\n ) && (\n (\n ((coll41(placeholder[Int](58)) == l38) && (coll41(placeholder[Int](59)) == coll37(placeholder[Int](60)))) && (\n coll41(placeholder[Int](61)) == coll37(placeholder[Int](62))\n )\n ) && (coll41(placeholder[Int](63)) == l40)\n )\n )} else { placeholder[Boolean](64) }\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Pool NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 8999999999999986,
"name": "Lend Token SigUSD - Beta-2.0",
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"type": "EIP-004"
},
{
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"amount": 8999999999999990,
"name": "Borrow Token SigUSD - Beta-2.0",
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"type": "EIP-004"
},
{
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"amount": 15,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
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"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
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"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
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"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
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"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
},
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"mainChain": true
},
{
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"transactionId": "83b76e8c2d4a7eef2d6117e8432d8485d3fdd1fcd0a25db916477bc81221cf0e",
"blockId": "511633a6966907cc35db3e25f53020806452f29b41767f356cdcf48c0e264d02",
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"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(63,40,121,-12,65,36,47,-128,79,-22,92,-23,33,-108,-51,-40,106,92,-9,-1,-113,-76,125,5,-49,-76,-96,124,116,32,17,-43)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(33,50,12,50,10,-36,96,87,-64,-46,-52,-123,-114,4,-94,49,-80,-61,77,-120,-33,54,49,68,-33,-21,-46,-43,-116,-93,92,124)\n8: 0\n9: 1\n10: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\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": "72a1fca3fd2deff973b0a1177ed266ec4ea30c962e6562176fe90021560bf684",
"index": 0,
"amount": 10,
"name": "Borrow Token SigUSD - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e200da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3",
"sigmaType": "Coll[SByte]",
"renderedValue": "0da18d7acc78d3e688ae6147ad357d1dbda76f9842a9dab618bac9684ad8a7c3"
},
"R9": {
"serializedValue": "1104b416d804108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1434,300,8,15000000]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": null,
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