Transaction
ID: 4cba5e9873...7fab
Inputs (3)
Spent
Output transaction:
Settlement height:
Value:
154.27 ERG
Tokens:
17.81
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001199354 ERG
Tokens:
14.99
Spent
Address:
Output transaction:
Settlement height:
Value:
164.7 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
17.81
Spent
Address:
Spent in transaction:
Settlement height:
Value:
164.7 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
153.27 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 644,679
Total coins transferred: 318.97 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000475 ERG
Raw Transaction Data
{
"id": "4cba5e9873e8e59c874e9cf8927d461bb7b53d25f4625bd01670432b37187fab",
"blockId": "9e68593854748b05b7c7689cbee22df8dc92098d0bdf1bbaea5cb1564a63e781",
"inclusionHeight": 1122287,
"timestamp": 1698498072983,
"index": 3,
"globalIndex": 6034654,
"numConfirmations": 644679,
"inputs": [
{
"boxId": "4dcd84cf07f5b768019cec1d4cf099733818965b2e435f677747ab9d77e9f31b",
"value": 154273893361,
"index": 0,
"spendingProof": "3441848e23a4016f3a008e02500dcfab4b984e5af843837cd3ada3c2b697877331c76ba7aa025e167f169e772ef2106a5c665a43f02fed1d",
"outputBlockId": "eafae31de945df419ab394cea4d026a2938ab9438ca3e3b1f6abd3d01d0719f0",
"outputTransactionId": "cf3cdf703e41b00d348a73e6f06ff52d878b1994682b53f4d96e157fb2de497f",
"outputIndex": 0,
"outputGlobalIndex": 33756426,
"outputCreatedAt": 1120721,
"outputSettledAt": 1120723,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: CBigInt(1)\n2: 0\n3: 1\n4: 0\n5: 100000000\n6: 100000000\n7: 2\n8: 1\n9: 0\n10: 100000000\n11: 100000000\n12: 100000000\n13: Coll(-48,-32,84,-51,93,55,-19,-7,36,-78,100,-88,40,106,-9,43,5,-92,-122,105,-67,4,-84,-83,-86,-81,-5,44,127,-37,-126,114)\n14: 0\n15: 0\n16: Coll(-59,-109,21,-33,55,80,23,98,-20,40,120,-16,-83,-94,46,16,-49,-85,54,-68,-126,38,-98,2,-38,29,76,2,-11,-22,-19,79)\n17: 0\n18: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n19: 0\n20: 3\n21: 5000000\n22: 1000\n23: 2\n24: 2\n25: CBigInt(100)\n26: 3000000\n27: 1000000\n28: 0\n29: 0\n30: 1\n31: 0\n32: 1000000\n33: 1\n34: Coll(117,-77,-1,-40,-29,53,-77,12,20,64,-73,-60,68,38,28,-13,99,-31,-13,-91,-14,70,91,-31,-15,-73,-79,-105,-95,-112,84,15)\n35: 1000000\n36: 1000000\n37: 1\n38: 0\n39: 3\n40: 5000000\n41: 1000\n42: 2\n43: 2\n44: CBigInt(100)\n45: 2\n46: 0\n47: 0\n48: false\n49: 1\n50: 3\n51: 0\n52: 3\n53: 5000000\n54: 1000\n55: 2\n56: 2\n57: CBigInt(100)\n58: 3000000\n59: 1000000\n60: 0\n61: 100000000\n62: 5\n63: 100000000\n64: false\n65: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val ge2 = SELF.R8[GroupElement].get\n val coll3 = SELF.propositionBytes\n val coll4 = CONTEXT.dataInputs\n val tuple5 = SELF.R6[(Long, Long)].get\n val l6 = tuple5._1\n val bi7 = placeholder[BigInt](1)\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](2))\n val l10 = tuple9._2\n val bi11 = l10.toBigInt\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val i14 = coll13.size\n val tuple15 = SELF.R5[(Int, Int)].get\n val i16 = tuple15._1\n val box17 = coll4(placeholder[Int](4))\n val coll18 = box17.R4[Coll[Long]].get\n val l19 = coll18.slice(tuple15._2, coll18.size).fold(placeholder[Long](5), {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](6) })\n val box20 = coll4(placeholder[Int](7))\n val coll21 = box20.R4[Coll[Long]].get\n val bi22 = if (i14 == i16) { l19 } else {(\n val i22 = i16 + placeholder[Int](8)\n val l23 = coll21.slice(placeholder[Int](9), coll21.size).fold(l19, {(tuple23: (Long, Long)) => tuple23._1 * tuple23._2 / placeholder[Long](10) })\n if (i14 == i22) { l23 } else { coll13.slice(i22, i14).fold(l23, {(tuple24: (Long, Long)) => tuple24._1 * tuple24._2 / placeholder[Long](11) }) }\n )}.toBigInt\n val l23 = placeholder[Long](12)\n val bi24 = bi7 + bi11 * bi22 / l23.toBigInt\n val coll25 = SELF.R4[Coll[Byte]].get\n val coll26 = SELF.R7[Coll[Byte]].get\n val tuple27 = SELF.R9[(Long, Long)].get\n val l28 = tuple27._1\n val l29 = tuple27._2\n val coll30 = placeholder[Coll[Byte]](13)\n val bool31 = box17.tokens(placeholder[Int](14))._1 == coll30\n val bool32 = box17.R6[Int].get == i16\n val bool33 = box12.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)\n val bool34 = (box20.tokens(placeholder[Int](17))._1 == coll30) && (box20.R6[Int].get == i14)\n val l35 = SELF.value\n val coll36 = placeholder[Coll[Byte]](18)\n val coll37 = tuple9._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val box39 = coll4(placeholder[Int](20))\n val coll40 = box39.tokens\n val l41 = box38.value\n val bi42 = l41.toBigInt - placeholder[Int](21).toBigInt\n val bi43 = box39.R4[Int].get.toBigInt\n val bi44 = box39.value.toBigInt\n val i45 = placeholder[Int](22)\n val tuple46 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box38.propositionBytes == coll3) && (\n (\n coll40(placeholder[Int](23))._2.toBigInt * bi42 * bi43 / bi44 + bi44 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i45.toBigInt + bi42 * bi43 > bi24 * l6.toBigInt / i45.toBigInt\n ) && (l41 >= placeholder[Int](26).toLong + placeholder[Long](27))\n )\n ) && (box38.tokens(placeholder[Int](28)) == tuple9)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (\n box38.R7[Coll[Byte]].get == coll26\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple46._1 == l28)\n ) && (tuple46._2 == l29)\n )\n ) && bool31\n ) && bool32\n ) && bool33\n ) && (coll40(placeholder[Int](29))._1 == coll26)\n ) && bool34\n )\n )} else { if (INPUTS(placeholder[Int](30)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](31))\n val coll39 = box38.propositionBytes\n val l40 = box38.value\n val bool41 = l40 >= l35 - placeholder[Long](32)\n val box42 = OUTPUTS(placeholder[Int](33))\n val bool43 = blake2b256(box42.propositionBytes) == placeholder[Coll[Byte]](34)\n val bool44 = box42.value >= placeholder[Int](35).toLong + placeholder[Long](36)\n val coll45 = box42.tokens\n val tuple46 = coll45(placeholder[Int](37))\n val bool47 = tuple46._1 == coll36\n val l48 = tuple46._2\n val tuple49 = coll45(placeholder[Int](38))\n val bool50 = tuple49 == tuple9\n val coll51 = box1.tokens\n val coll52 = box38.tokens\n sigmaProp((((((((((((coll39 == coll25) && bool41) && bool43) && bool44) && (bool47 && (l48.toBigInt > bi24))) && bool50) && bool31) && bool32) && bool33) && bool34) || if (coll51.size >= placeholder[Int](39)) {(\n val bi53 = l35.toBigInt - placeholder[Int](40).toBigInt\n val bi54 = box1.R4[Int].get.toBigInt\n val bi55 = box1.value.toBigInt\n val i56 = placeholder[Int](41)\n val bi57 = coll51(placeholder[Int](42))._2.toBigInt * bi53 * bi54 / bi55 + bi55 * placeholder[Int](43).toBigInt / placeholder[BigInt](44) * i56.toBigInt + bi53 * bi54\n val bi58 = bi57 - bi24\n val bi59 = tuple5._2.toBigInt\n val bi60 = bi58 * i56.toBigInt - bi59 / i56.toBigInt\n ((((((((((((bi57 <= bi24 * l6.toBigInt / i56.toBigInt) && (HEIGHT.toLong >= l29)) || (HEIGHT.toLong > l28)) && bool43) && bool47) && bool44) && if (bi60 < bi7) { l48.toBigInt >= bi57 } else {(\n val box61 = OUTPUTS(placeholder[Int](45))\n val tuple62 = box61.tokens(placeholder[Int](46))\n (((l48.toBigInt >= bi24 + bi58 * bi59 / i56.toBigInt) && (tuple62._2.toBigInt >= bi60)) && (box61.propositionBytes == coll25)) && (tuple62._1 == coll36)\n )}) && bool50) && (coll51(placeholder[Int](47))._1 == coll26)) && bool31) && bool32) && bool33) && bool34\n )} else { placeholder[Boolean](48) }) || if ((coll52.size >= placeholder[Int](49)) && (box1.tokens.size < placeholder[Int](50))) {(\n val tuple53 = box38.R9[(Long, Long)].get\n val l54 = tuple53._2\n val bool55 = coll39 == coll3\n val tuple56 = coll52(placeholder[Int](51))\n val l57 = tuple56._2\n val bi58 = l57.toBigInt\n val bool59 = (((((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (box38.R7[Coll[Byte]].get == coll26)) && (box38.R8[GroupElement].get == ge2)) && (tuple53._1 == l28)\n val box60 = coll4(placeholder[Int](52))\n val coll61 = box60.tokens\n val bi62 = l40.toBigInt - placeholder[Int](53).toBigInt\n val bi63 = box60.R4[Int].get.toBigInt\n val bi64 = box60.value.toBigInt\n val i65 = placeholder[Int](54)\n val bool66 = (coll61(placeholder[Int](55))._2.toBigInt * bi62 * bi63 / bi64 + bi64 * placeholder[Int](56).toBigInt / placeholder[BigInt](57) * i65.toBigInt + bi62 * bi63 >= bi7 + bi58 * bi22 / l23.toBigInt * l6.toBigInt / i65.toBigInt) && (l40 >= placeholder[Int](58).toLong + placeholder[Long](59))\n val bool67 = coll61(placeholder[Int](60))._1 == coll26\n if (l54 == placeholder[Long](61)) { ((((((((((((((bool55 && (l40 >= l35)) && (tuple56._1 == coll37)) && (bi58 >= bi11 - l48.toBigInt * l23.toBigInt / bi22)) && bool59) && (l29 == l54)) && bool43) && bool44) && bool47) && ((tuple49._2 == l10 - l57) && (tuple49._1 == coll37))) && bool31) && bool32) && bool33) && bool34) && bool66) && bool67 } else { (((((((((((!bool66) && bool55) && bool41) && (coll52 == coll8)) && bool59) && ((l54 > HEIGHT.toLong) && (l54 < HEIGHT + placeholder[Int](62).toLong))) && (l29 == placeholder[Long](63))) && bool31) && bool32) && bool33) && bool67) && bool34 }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "27262c7b660e6c942aaaa10b0574808836236d7705af2c3a57d3794612f4d8b7",
"index": 0,
"amount": 17806400,
"name": "Borrow Token QUACKS-1e",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5802c002",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,160]"
},
"R6": {
"serializedValue": "59f015d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1400,300]"
},
"R8": {
"serializedValue": "07025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
"sigmaType": "SGroupElement",
"renderedValue": "025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603"
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}
}
},
{
"boxId": "aa2260509219d603d80b4a4f711acedec18abff4134c054534c788cf01c60f92",
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"index": 1,
"outputBlockId": "9e1299d62cea65856f23e842c1fa9a7f37eb3d5763475f706e3e7650d28303a3",
"outputTransactionId": "66c3c4248e0ec173bd4d9ae45b541f9fbb40879d399e7ba274584f4a03757009",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"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": "11018084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000]"
}
}
},
{
"boxId": "810e0ea2e1eea1c149936dc3396ab2354e89d10e0e34f851962629e3ea18dba7",
"value": 14553113350146,
"index": 3,
"outputBlockId": "d1c3a5827a69a64f4d1b2439b1fb6659b392124f62af94329ec2cc147e646092",
"outputTransactionId": "0789cfdbf1de851f33e1fdfd5b13dd730862c1bc42bda05b1ed377e97f80a30e",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
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"transactionId": "4cba5e9873e8e59c874e9cf8927d461bb7b53d25f4625bd01670432b37187fab",
"blockId": "9e68593854748b05b7c7689cbee22df8dc92098d0bdf1bbaea5cb1564a63e781",
"value": 1000000000,
"index": 0,
"globalIndex": 33827991,
"creationHeight": 1122284,
"settlementHeight": 1122287,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: CBigInt(1)\n2: 0\n3: 1\n4: 0\n5: 100000000\n6: 100000000\n7: 2\n8: 1\n9: 0\n10: 100000000\n11: 100000000\n12: 100000000\n13: Coll(-48,-32,84,-51,93,55,-19,-7,36,-78,100,-88,40,106,-9,43,5,-92,-122,105,-67,4,-84,-83,-86,-81,-5,44,127,-37,-126,114)\n14: 0\n15: 0\n16: Coll(-59,-109,21,-33,55,80,23,98,-20,40,120,-16,-83,-94,46,16,-49,-85,54,-68,-126,38,-98,2,-38,29,76,2,-11,-22,-19,79)\n17: 0\n18: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n19: 0\n20: 3\n21: 5000000\n22: 1000\n23: 2\n24: 2\n25: CBigInt(100)\n26: 3000000\n27: 1000000\n28: 0\n29: 0\n30: 1\n31: 0\n32: 1000000\n33: 1\n34: Coll(117,-77,-1,-40,-29,53,-77,12,20,64,-73,-60,68,38,28,-13,99,-31,-13,-91,-14,70,91,-31,-15,-73,-79,-105,-95,-112,84,15)\n35: 1000000\n36: 1000000\n37: 1\n38: 0\n39: 3\n40: 5000000\n41: 1000\n42: 2\n43: 2\n44: CBigInt(100)\n45: 2\n46: 0\n47: 0\n48: false\n49: 1\n50: 3\n51: 0\n52: 3\n53: 5000000\n54: 1000\n55: 2\n56: 2\n57: CBigInt(100)\n58: 3000000\n59: 1000000\n60: 0\n61: 100000000\n62: 5\n63: 100000000\n64: false\n65: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val ge2 = SELF.R8[GroupElement].get\n val coll3 = SELF.propositionBytes\n val coll4 = CONTEXT.dataInputs\n val tuple5 = SELF.R6[(Long, Long)].get\n val l6 = tuple5._1\n val bi7 = placeholder[BigInt](1)\n val coll8 = SELF.tokens\n val tuple9 = coll8(placeholder[Int](2))\n val l10 = tuple9._2\n val bi11 = l10.toBigInt\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val i14 = coll13.size\n val tuple15 = SELF.R5[(Int, Int)].get\n val i16 = tuple15._1\n val box17 = coll4(placeholder[Int](4))\n val coll18 = box17.R4[Coll[Long]].get\n val l19 = coll18.slice(tuple15._2, coll18.size).fold(placeholder[Long](5), {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](6) })\n val box20 = coll4(placeholder[Int](7))\n val coll21 = box20.R4[Coll[Long]].get\n val bi22 = if (i14 == i16) { l19 } else {(\n val i22 = i16 + placeholder[Int](8)\n val l23 = coll21.slice(placeholder[Int](9), coll21.size).fold(l19, {(tuple23: (Long, Long)) => tuple23._1 * tuple23._2 / placeholder[Long](10) })\n if (i14 == i22) { l23 } else { coll13.slice(i22, i14).fold(l23, {(tuple24: (Long, Long)) => tuple24._1 * tuple24._2 / placeholder[Long](11) }) }\n )}.toBigInt\n val l23 = placeholder[Long](12)\n val bi24 = bi7 + bi11 * bi22 / l23.toBigInt\n val coll25 = SELF.R4[Coll[Byte]].get\n val coll26 = SELF.R7[Coll[Byte]].get\n val tuple27 = SELF.R9[(Long, Long)].get\n val l28 = tuple27._1\n val l29 = tuple27._2\n val coll30 = placeholder[Coll[Byte]](13)\n val bool31 = box17.tokens(placeholder[Int](14))._1 == coll30\n val bool32 = box17.R6[Int].get == i16\n val bool33 = box12.tokens(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16)\n val bool34 = (box20.tokens(placeholder[Int](17))._1 == coll30) && (box20.R6[Int].get == i14)\n val l35 = SELF.value\n val coll36 = placeholder[Coll[Byte]](18)\n val coll37 = tuple9._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val box39 = coll4(placeholder[Int](20))\n val coll40 = box39.tokens\n val l41 = box38.value\n val bi42 = l41.toBigInt - placeholder[Int](21).toBigInt\n val bi43 = box39.R4[Int].get.toBigInt\n val bi44 = box39.value.toBigInt\n val i45 = placeholder[Int](22)\n val tuple46 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box38.propositionBytes == coll3) && (\n (\n coll40(placeholder[Int](23))._2.toBigInt * bi42 * bi43 / bi44 + bi44 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i45.toBigInt + bi42 * bi43 > bi24 * l6.toBigInt / i45.toBigInt\n ) && (l41 >= placeholder[Int](26).toLong + placeholder[Long](27))\n )\n ) && (box38.tokens(placeholder[Int](28)) == tuple9)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (\n box38.R7[Coll[Byte]].get == coll26\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple46._1 == l28)\n ) && (tuple46._2 == l29)\n )\n ) && bool31\n ) && bool32\n ) && bool33\n ) && (coll40(placeholder[Int](29))._1 == coll26)\n ) && bool34\n )\n )} else { if (INPUTS(placeholder[Int](30)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](31))\n val coll39 = box38.propositionBytes\n val l40 = box38.value\n val bool41 = l40 >= l35 - placeholder[Long](32)\n val box42 = OUTPUTS(placeholder[Int](33))\n val bool43 = blake2b256(box42.propositionBytes) == placeholder[Coll[Byte]](34)\n val bool44 = box42.value >= placeholder[Int](35).toLong + placeholder[Long](36)\n val coll45 = box42.tokens\n val tuple46 = coll45(placeholder[Int](37))\n val bool47 = tuple46._1 == coll36\n val l48 = tuple46._2\n val tuple49 = coll45(placeholder[Int](38))\n val bool50 = tuple49 == tuple9\n val coll51 = box1.tokens\n val coll52 = box38.tokens\n sigmaProp((((((((((((coll39 == coll25) && bool41) && bool43) && bool44) && (bool47 && (l48.toBigInt > bi24))) && bool50) && bool31) && bool32) && bool33) && bool34) || if (coll51.size >= placeholder[Int](39)) {(\n val bi53 = l35.toBigInt - placeholder[Int](40).toBigInt\n val bi54 = box1.R4[Int].get.toBigInt\n val bi55 = box1.value.toBigInt\n val i56 = placeholder[Int](41)\n val bi57 = coll51(placeholder[Int](42))._2.toBigInt * bi53 * bi54 / bi55 + bi55 * placeholder[Int](43).toBigInt / placeholder[BigInt](44) * i56.toBigInt + bi53 * bi54\n val bi58 = bi57 - bi24\n val bi59 = tuple5._2.toBigInt\n val bi60 = bi58 * i56.toBigInt - bi59 / i56.toBigInt\n ((((((((((((bi57 <= bi24 * l6.toBigInt / i56.toBigInt) && (HEIGHT.toLong >= l29)) || (HEIGHT.toLong > l28)) && bool43) && bool47) && bool44) && if (bi60 < bi7) { l48.toBigInt >= bi57 } else {(\n val box61 = OUTPUTS(placeholder[Int](45))\n val tuple62 = box61.tokens(placeholder[Int](46))\n (((l48.toBigInt >= bi24 + bi58 * bi59 / i56.toBigInt) && (tuple62._2.toBigInt >= bi60)) && (box61.propositionBytes == coll25)) && (tuple62._1 == coll36)\n )}) && bool50) && (coll51(placeholder[Int](47))._1 == coll26)) && bool31) && bool32) && bool33) && bool34\n )} else { placeholder[Boolean](48) }) || if ((coll52.size >= placeholder[Int](49)) && (box1.tokens.size < placeholder[Int](50))) {(\n val tuple53 = box38.R9[(Long, Long)].get\n val l54 = tuple53._2\n val bool55 = coll39 == coll3\n val tuple56 = coll52(placeholder[Int](51))\n val l57 = tuple56._2\n val bi58 = l57.toBigInt\n val bool59 = (((((box38.R4[Coll[Byte]].get == coll25) && (box38.R5[(Int, Int)].get == tuple15)) && (box38.R6[(Long, Long)].get == tuple5)) && (box38.R7[Coll[Byte]].get == coll26)) && (box38.R8[GroupElement].get == ge2)) && (tuple53._1 == l28)\n val box60 = coll4(placeholder[Int](52))\n val coll61 = box60.tokens\n val bi62 = l40.toBigInt - placeholder[Int](53).toBigInt\n val bi63 = box60.R4[Int].get.toBigInt\n val bi64 = box60.value.toBigInt\n val i65 = placeholder[Int](54)\n val bool66 = (coll61(placeholder[Int](55))._2.toBigInt * bi62 * bi63 / bi64 + bi64 * placeholder[Int](56).toBigInt / placeholder[BigInt](57) * i65.toBigInt + bi62 * bi63 >= bi7 + bi58 * bi22 / l23.toBigInt * l6.toBigInt / i65.toBigInt) && (l40 >= placeholder[Int](58).toLong + placeholder[Long](59))\n val bool67 = coll61(placeholder[Int](60))._1 == coll26\n if (l54 == placeholder[Long](61)) { ((((((((((((((bool55 && (l40 >= l35)) && (tuple56._1 == coll37)) && (bi58 >= bi11 - l48.toBigInt * l23.toBigInt / bi22)) && bool59) && (l29 == l54)) && bool43) && bool44) && bool47) && ((tuple49._2 == l10 - l57) && (tuple49._1 == coll37))) && bool31) && bool32) && bool33) && bool34) && bool66) && bool67 } else { (((((((((((!bool66) && bool55) && bool41) && (coll52 == coll8)) && bool59) && ((l54 > HEIGHT.toLong) && (l54 < HEIGHT + placeholder[Int](62).toLong))) && (l29 == placeholder[Long](63))) && bool31) && bool32) && bool33) && bool67) && bool34 }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 17806400,
"name": "Borrow Token QUACKS-1e",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "5802c002",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,160]"
},
"R6": {
"serializedValue": "59f015d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1400,300]"
},
"R8": {
"serializedValue": "07025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
"sigmaType": "SGroupElement",
"renderedValue": "025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603"
},
"R7": {
"serializedValue": "0e2046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[SByte]",
"renderedValue": "46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1"
},
"R9": {
"serializedValue": "59a8dfb7018084af5f",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1505236,100000000]"
},
"R4": {
"serializedValue": "0e240008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603"
}
},
"spentTransactionId": "d8460e96414e851d462e02847eb42b665f64deb3613ee9030cff1c063c9d83ce",
"mainChain": true
},
{
"boxId": "fedda2f6ee1412de7d6d7deed01209f0af67d6a15e9cc1270f79090cbeb2d238",
"transactionId": "4cba5e9873e8e59c874e9cf8927d461bb7b53d25f4625bd01670432b37187fab",
"blockId": "9e68593854748b05b7c7689cbee22df8dc92098d0bdf1bbaea5cb1564a63e781",
"value": 164698641624,
"index": 1,
"globalIndex": 33827992,
"creationHeight": 1122284,
"settlementHeight": 1122287,
"ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
"address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
"assets": [
{
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"index": 0,
"amount": 26668,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
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