Transaction
ID: 9baf5ec7a2...4867
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.718636997 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.716636997 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: 228,804
Total coins transferred: 0.723636997 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000215 ERG
Raw Transaction Data
{
"id": "9baf5ec7a2dccecd20e168728ce83289a12265819714220c1df5c9606fa54867",
"blockId": "6ece899c89d9c5cccb306f36fdd6be8c6e5cb145bbf0677240c2b2dd67e4c118",
"inclusionHeight": 1540465,
"timestamp": 1749123982073,
"index": 5,
"globalIndex": 9049924,
"numConfirmations": 228804,
"inputs": [
{
"boxId": "54d144445830c9d7a446dc3ee35b1f9c686757e5383b5436a204f388fadfd4d0",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "0767986fbd2f8c0764321dc7d49912dbdb3db44842911567b0cd2b9ec4a8502a",
"outputTransactionId": "299cd85ea16929172cbad0a7f03deb18cbeedbb7606fba7044c6bacfe5ed9d7d",
"outputIndex": 0,
"outputGlobalIndex": 48221131,
"outputCreatedAt": 1540447,
"outputSettledAt": 1540449,
"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(92,71,-90,73,-84,-21,-65,30,96,6,40,19,113,55,-73,-26,-11,-73,23,-66,109,-92,-65,9,-51,113,125,76,5,24,61,-79)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(2,-98,-39,45,46,-63,77,118,-119,-40,48,13,-81,-125,63,-34,-57,-125,-48,-35,121,-87,-49,-99,-102,41,-24,3,41,-59,73,54)\n22: 0\n23: 0\n24: -1\n25: Coll(-10,67,-29,117,112,-19,-89,-120,20,89,-107,-89,-86,22,4,-54,-53,84,-82,-29,-70,-11,38,3,-121,-93,-65,-128,-25,8,83,-111)\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": "365a194396c7909108e85c09070221153ff9882c2c3263951d408bff3196010d",
"index": 0,
"amount": 1,
"name": "Pool NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5e60212c7c25267ddf7d4910d8bea124d32f41413f08bfb372e4680451a0fdea",
"index": 1,
"amount": 8999999999999967,
"name": "Lend Token SigUSD - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5333f38c674c31ba89340b91819667e5abbc251440936b1b9edad9fbc62e220c",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token SigUSD - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 3,
"amount": 50,
"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": "f26795e93951f63f394a39c1e6ff72a04183913b64c44ec0140b929213c4c0a3",
"value": 718636997,
"index": 1,
"spendingProof": null,
"outputBlockId": "51da4f08c77c47f01ac4a91a4cf89a96fc91863a4697d0fa3d132734b05658b7",
"outputTransactionId": "81e7c42c5db4ae9d1f9635e4ebcb145800294d8a0d28c601143207367b4c91a9",
"outputIndex": 0,
"outputGlobalIndex": 48221405,
"outputCreatedAt": 1540462,
"outputSettledAt": 1540463,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 1\n4: 2\n5: 0\n6: Coll(-10,67,-29,117,112,-19,-89,-120,20,89,-107,-89,-86,22,4,-54,-53,84,-82,-29,-70,-11,38,3,-121,-93,-65,-128,-25,8,83,-111)\n7: 1000000\n8: 1000000\n9: 1\n10: 1\n11: Coll(83,51,-13,-116,103,76,49,-70,-119,52,11,-111,-127,-106,103,-27,-85,-68,37,20,64,-109,107,27,-98,-38,-39,-5,-58,46,34,12)\n12: 0\n13: 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)\n14: 2\n15: 0\n16: 0\n17: Coll(54,90,25,67,-106,-57,-112,-111,8,-24,92,9,7,2,33,21,63,-7,-120,44,44,50,99,-107,29,64,-117,-1,49,-106,1,13)\n18: 0\n19: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val coll2 = SELF.R5[Coll[Long]].get\n val ge3 = SELF.R9[GroupElement].get\n sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n val box4 = OUTPUTS(placeholder[Int](1))\n (((box4.propositionBytes == coll1) && (SELF.value - box4.value <= placeholder[Long](2))) && (box4.R4[Coll[Byte]].get == SELF.id)) && (HEIGHT >= SELF.R6[Int].get)\n )} else {(\n val box4 = OUTPUTS(placeholder[Int](3))\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box4.tokens\n val tuple7 = coll6(placeholder[Int](5))\n (((((((((((blake2b256(box4.propositionBytes) == placeholder[Coll[Byte]](6)) && (box5.propositionBytes == coll1)) && ((box4.value == SELF.value - placeholder[Long](7) - placeholder[Long](8)) && (coll6.slice(placeholder[Int](9), coll6.size) == SELF.tokens))) && (((coll2(placeholder[Int](10)) >= tuple7._2) && (tuple7._1 == placeholder[Coll[Byte]](11))) && (box5.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)))) && (box4.R4[Coll[Byte]].get == coll1)) && (box4.R8[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (coll2.slice(placeholder[Int](14), coll2.size) == box4.R9[Coll[Long]].get)) && (SELF.R8[Coll[Byte]].get == box4.R7[Coll[Byte]].get)) && (ge3 == box4.R5[GroupElement].get)) && (INPUTS(placeholder[Int](15)).tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17))) && (box5.tokens(placeholder[Int](18))._2 == coll2(placeholder[Int](19)))) && (box5.R4[Coll[Byte]].get == SELF.id)\n )}) || proveDlog(ge3)\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "1106404082163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[32,32,1409,30,8,15000000]"
},
"R6": {
"serializedValue": "04f685bc01",
"sigmaType": "SInt",
"renderedValue": "1540475"
},
"R8": {
"serializedValue": "0e20b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771",
"sigmaType": "Coll[SByte]",
"renderedValue": "b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "fa6466f1506dd88e944b9d12d721978830f288beee5e687fbe78c29db525d2b3",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "2872ebf33b4ec89aa9bc64914a5f4601e80d922e865fcafe5b48e7091d1c0a2a",
"outputTransactionId": "9679b97d29d2aca52eeb25047390a86f7e16b5ac8f7717107014f248b205f4ef",
"outputIndex": 2,
"outputGlobalIndex": 48157085,
"outputCreatedAt": 1537393,
"outputSettledAt": 1537394,
"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": "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",
"assets": [
{
"tokenId": "b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771",
"index": 0,
"amount": 1,
"name": "Logic NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a01209916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec]"
},
"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": "1106a09c014892163c8087a70e10",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,36,1417,30,15000000,8]"
}
}
}
],
"dataInputs": [
{
"boxId": "bfce4a7065304f96600916c7f66be4aaa8ba7fd53baf4d032fa69490801e6583",
"value": 95900000,
"index": 0,
"outputBlockId": "92ad789ec736e50bd86c76f15e4767faef87db65ec4c5177990325d71ce1f9df",
"outputTransactionId": "4232da2b0b1c0d3c76a50df47671576c46c391e98de58e6a3a0dac3675b59319",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "06072389602cb1daed",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10002670344592109)"
},
"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": "05a686bc01",
"sigmaType": "SLong",
"renderedValue": "1540499"
}
}
},
{
"boxId": "71060daf4c9378071b3b6d2429631f8343345be79ddc64fb2da13d4e6c0f50d4",
"value": 1000000,
"index": 1,
"outputBlockId": "1f1037aa36d14c9c91a8da0d17bdc61a67d09ae4fe961bb32d83889e6f9fad40",
"outputTransactionId": "67d7af81a51f0055d7d00698f840469abb0d9f451ada93c4b42bdd8b8a8cacee",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "c2a9228d0e98e3af845765a370d688ce9af4745e1e3cd3c345deacb77330c6da",
"value": 157013595800004,
"index": 2,
"outputBlockId": "677261bb587b665355818833508d8f65c09b6f1f4cecdb55163c2b8c32cad98e",
"outputTransactionId": "9bf2742ce675d2af9652efd2596d78baa4b8015e0af19380817fe01a2a342d5d",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
}
],
"outputs": [
{
"boxId": "add7c0d784616950f62593e5b874e3eb1576cf165dcd0b393a0485d58985b970",
"transactionId": "9baf5ec7a2dccecd20e168728ce83289a12265819714220c1df5c9606fa54867",
"blockId": "6ece899c89d9c5cccb306f36fdd6be8c6e5cb145bbf0677240c2b2dd67e4c118",
"value": 4000000,
"index": 0,
"globalIndex": 48221433,
"creationHeight": 1540463,
"settlementHeight": 1540465,
"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(92,71,-90,73,-84,-21,-65,30,96,6,40,19,113,55,-73,-26,-11,-73,23,-66,109,-92,-65,9,-51,113,125,76,5,24,61,-79)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(2,-98,-39,45,46,-63,77,118,-119,-40,48,13,-81,-125,63,-34,-57,-125,-48,-35,121,-87,-49,-99,-102,41,-24,3,41,-59,73,54)\n22: 0\n23: 0\n24: -1\n25: Coll(-10,67,-29,117,112,-19,-89,-120,20,89,-107,-89,-86,22,4,-54,-53,84,-82,-29,-70,-11,38,3,-121,-93,-65,-128,-25,8,83,-111)\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": "365a194396c7909108e85c09070221153ff9882c2c3263951d408bff3196010d",
"index": 0,
"amount": 1,
"name": "Pool NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "5e60212c7c25267ddf7d4910d8bea124d32f41413f08bfb372e4680451a0fdea",
"index": 1,
"amount": 8999999999999967,
"name": "Lend Token SigUSD - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5333f38c674c31ba89340b91819667e5abbc251440936b1b9edad9fbc62e220c",
"index": 2,
"amount": 8999999999999968,
"name": "Borrow Token SigUSD - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 3,
"amount": 18,
"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"
}
},
"spentTransactionId": "5a6862d7f9c547d1a92b9dc56ea486509008f8907c0d3485ae02eaa5c317f7d9",
"mainChain": true
},
{
"boxId": "a29edbbd5c87cb91703f22dae5102fe77e503577712df125d94b474a9fd1f6cf",
"transactionId": "9baf5ec7a2dccecd20e168728ce83289a12265819714220c1df5c9606fa54867",
"blockId": "6ece899c89d9c5cccb306f36fdd6be8c6e5cb145bbf0677240c2b2dd67e4c118",
"value": 716636997,
"index": 1,
"globalIndex": 48221434,
"creationHeight": 1540463,
"settlementHeight": 1540465,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-45,57,35,-37,-8,45,-32,-5,-17,68,-78,-106,109,-34,27,-102,99,45,-54,-3,61,-120,53,-18,-107,-13,-108,92,-95,-26,-103,-61)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(92,71,-90,73,-84,-21,-65,30,96,6,40,19,113,55,-73,-26,-11,-73,23,-66,109,-92,-65,9,-51,113,125,76,5,24,61,-79)\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": "5333f38c674c31ba89340b91819667e5abbc251440936b1b9edad9fbc62e220c",
"index": 0,
"amount": 32,
"name": "Borrow Token SigUSD - Beta-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": "0e20b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771",
"sigmaType": "Coll[SByte]",
"renderedValue": "b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771"
},
"R9": {
"serializedValue": "110482163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1409,30,8,15000000]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "3cf48b5d137d4ac051ca25cb807858fe1b3558cf755f138eccfd3bc0c5143d93",
"transactionId": "9baf5ec7a2dccecd20e168728ce83289a12265819714220c1df5c9606fa54867",
"blockId": "6ece899c89d9c5cccb306f36fdd6be8c6e5cb145bbf0677240c2b2dd67e4c118",
"value": 1000000,
"index": 2,
"globalIndex": 48221435,
"creationHeight": 1540463,
"settlementHeight": 1540465,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"index": 0,
"amount": 32,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "f26795e93951f63f394a39c1e6ff72a04183913b64c44ec0140b929213c4c0a3"
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{
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"value": 1000000,
"index": 3,
"globalIndex": 48221436,
"creationHeight": 1540463,
"settlementHeight": 1540465,
"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": "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",
"assets": [
{
"tokenId": "b2b48c47d60e8a1900d922ba25945c726cb82802b5c166cd58a54d5c11b01771",
"index": 0,
"amount": 1,
"name": "Logic NFT SigUSD - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a01209916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec]"
},
"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": "1106a09c017c82163c8087a70e10",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,62,1409,30,15000000,8]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "3b1163799d44e2661d81fef77887bc5b1a424975f4fb3be5f3f3be7afe381d74",
"transactionId": "9baf5ec7a2dccecd20e168728ce83289a12265819714220c1df5c9606fa54867",
"blockId": "6ece899c89d9c5cccb306f36fdd6be8c6e5cb145bbf0677240c2b2dd67e4c118",
"value": 1000000,
"index": 4,
"globalIndex": 48221437,
"creationHeight": 1540463,
"settlementHeight": 1540465,
"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": "982de2a1410d7a083677206964aeb00719f7b8e6f0c0eac7fb39959706c8aa1b",
"mainChain": true
}
],
"size": 4643,
"isUnconfirmed": false
}