Transaction
ID: dde61b46fc...a166
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.09 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.09 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 717,670
Total coins transferred: 0.093 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000423 ERG
Raw Transaction Data
{
"id": "dde61b46fc241f57d58a48cc2cc6e9841777149501a6acac2613dd86a6d9a166",
"blockId": "ab5dde253642f026a2d3856a38db2a9d5fa9092fbe44fc981203447eb38f908c",
"inclusionHeight": 1051011,
"timestamp": 1689842316283,
"index": 20,
"globalIndex": 5546884,
"numConfirmations": 717670,
"inputs": [
{
"boxId": "c89d1016e9a9cf47dae5cb02c2884c00b4f48c7780e9bc8c03207beae7c08c8a",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "fc4bbd074d35ac828cc2ae32767de2881af94fca0453248134dbca6cf319bf82",
"outputTransactionId": "228c13c1e30c9f93245c1fc4c7c9c555783e87c6fbbe3f151ee81aad914d0f2c",
"outputIndex": 0,
"outputGlobalIndex": 31103387,
"outputCreatedAt": 1051002,
"outputSettledAt": 1051004,
"ergoTree": "1007040404000580897a0400040204000400d19590b1a57300d801d601b2a5730100ededed93c27201e4c6a7060e92c1720199c1a7730293db63087201db6308a7927ea305e4c6a70705d803d601b2a5730300d602b2a4730400d603b2db63087201730500ededededed93c27201c2720293c57202e4c6a7040e92c17201c17202938c7203018cb2db6308720273060001938c720302e4c6a70505ededededed93e4c67201040ee4c67202040e93e4c672010558e4c67202055893e4c672010659e4c67202065993e4c67201070ee4c67202070e93e4c672010807e4c67202080793e4c672010905e4c672020905",
"ergoTreeConstants": "0: 2\n1: 0\n2: 1000000\n3: 0\n4: 1\n5: 0\n6: 0",
"ergoTreeScript": "{sigmaProp(if (OUTPUTS.size <= placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n (((box1.propositionBytes == SELF.R6[Coll[Byte]].get) && (box1.value >= SELF.value - placeholder[Long](2))) && (box1.tokens == SELF.tokens)) && (HEIGHT.toLong >= SELF.R7[Long].get)\n )} else {(\n val box1 = OUTPUTS(placeholder[Int](3))\n val box2 = INPUTS(placeholder[Int](4))\n val tuple3 = box1.tokens(placeholder[Int](5))\n (((((box1.propositionBytes == box2.propositionBytes) && (box2.id == SELF.R4[Coll[Byte]].get)) && (box1.value >= box2.value)) && (tuple3._1 == box2.tokens(placeholder[Int](6))._1)) && (tuple3._2 == SELF.R5[Long].get)) && ((((((box1.R4[Coll[Byte]].get == box2.R4[Coll[Byte]].get) && (box1.R5[(Int, Int)].get == box2.R5[(Int, Int)].get)) && (box1.R6[(Long, Long)].get == box2.R6[(Long, Long)].get)) && (box1.R7[Coll[Byte]].get == box2.R7[Coll[Byte]].get)) && (box1.R8[GroupElement].get == box2.R8[GroupElement].get)) && (box1.R9[Long].get == box2.R9[Long].get))\n )})}",
"address": "PLFPz4CKVdAoANt3mVUyUcm9PvfNPeNEcZp5PZ7zzvL9GoxEwBmSSAXJkAhxcHbrEdcnZwwURSpeRPZCsTucAJx41XKUccupwUpghMQ94gjv7Lx6W57LjnYZr9PSz4mNWQEYJCRVpPKu2X4PjMmdWpr3X5mNdQhu4fcgtgi3hFuXU7XRPZhcyLzqg2otesCWbyWPK5xYiMNDTeREBtFsFoCyRRdvYw8c1tC9M9xjLtksFUJbGA7L2D8TCt7LPdjyPc1GPUuPbABZ1eyn7VPtUDSRg58vmQUiDV9NDFSUrYs4n6EYjm2cuqqS61astcFxRo7RPZdbn8K",
"assets": [
{
"tokenId": "003bd19d0187117f130b62e1bcab0939929ff5c7709f843c5c4dd158949285d0",
"index": 0,
"amount": 59,
"name": "SigRSV",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e202737df5f401917e7f7d4169a12fe59cce8a38b3693f36781e0d37a7438b23442",
"sigmaType": "Coll[SByte]",
"renderedValue": "2737df5f401917e7f7d4169a12fe59cce8a38b3693f36781e0d37a7438b23442"
},
"R5": {
"serializedValue": "0554",
"sigmaType": "SLong",
"renderedValue": "42"
},
"R6": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R7": {
"serializedValue": "04b0a68001",
"sigmaType": "SInt",
"renderedValue": "1051032"
}
}
},
{
"boxId": "2737df5f401917e7f7d4169a12fe59cce8a38b3693f36781e0d37a7438b23442",
"value": 90000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "82c16aec4ed052bedfb5a4bc7d03202fa168135d5a398d03400715088bec8504",
"outputTransactionId": "ba31d2c79f3b1786ed4a30de6c089dd61b3978012d7067c9d611fa3ef2f594d4",
"outputIndex": 0,
"outputGlobalIndex": 31102958,
"outputCreatedAt": 1050988,
"outputSettledAt": 1050990,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 100000000\n5: 100000000\n6: 2\n7: 1\n8: 0\n9: 100000000\n10: 100000000\n11: 100000000\n12: Coll(66,-100,-75,-62,105,13,-63,19,74,-106,125,106,-86,-15,38,51,-59,-16,102,50,78,-114,-18,-54,21,39,6,125,43,93,9,48)\n13: 0\n14: 0\n15: Coll(102,121,-8,-57,3,-14,-60,111,-103,-114,84,89,-71,82,67,62,11,74,-101,-42,111,98,94,48,-81,-4,-24,116,66,76,-76,79)\n16: 0\n17: Coll(0,59,-47,-99,1,-121,17,127,19,11,98,-31,-68,-85,9,57,-110,-97,-11,-57,112,-97,-124,60,92,77,-47,88,-108,-110,-123,-48)\n18: 0\n19: 3\n20: 5000000\n21: 1000\n22: 2\n23: 2\n24: CBigInt(100)\n25: 0\n26: 0\n27: 1\n28: 0\n29: 1\n30: Coll(-117,119,-14,31,-96,116,-41,43,-97,-13,-90,-111,19,86,-90,93,14,70,-1,-32,30,-126,24,-117,-22,71,59,84,-50,-66,85,37)\n31: 1000000\n32: 1000000\n33: 1\n34: 0\n35: 1000000\n36: 3\n37: 5000000\n38: 1000\n39: 2\n40: 2\n41: CBigInt(100)\n42: CBigInt(1)\n43: 2\n44: 0\n45: 0\n46: false\n47: 1\n48: 3\n49: 0\n50: 3\n51: 5000000\n52: 1000\n53: 100000000\n54: 2\n55: 2\n56: CBigInt(100)\n57: 100000000\n58: 0\n59: false\n60: 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.tokens(placeholder[Int](1))\n val l6 = tuple5._2\n val box7 = coll4(placeholder[Int](2))\n val coll8 = box7.R4[Coll[Long]].get\n val i9 = coll8.size\n val tuple10 = SELF.R5[(Int, Int)].get\n val i11 = tuple10._1\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val l14 = coll13.slice(tuple10._2, coll13.size).fold(placeholder[Long](4), {(tuple14: (Long, Long)) => tuple14._1 * tuple14._2 / placeholder[Long](5) })\n val box15 = coll4(placeholder[Int](6))\n val coll16 = box15.R4[Coll[Long]].get\n val l17 = if (i9 == i11) { l14 } else {(\n val i17 = i11 + placeholder[Int](7)\n val l18 = coll16.slice(placeholder[Int](8), coll16.size).fold(l14, {(tuple18: (Long, Long)) => tuple18._1 * tuple18._2 / placeholder[Long](9) })\n if (i9 == i17) { l18 } else { coll8.slice(i17, i9).fold(l18, {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](10) }) }\n )}\n val l18 = l6 * l17 / placeholder[Long](11)\n val tuple19 = SELF.R6[(Long, Long)].get\n val l20 = tuple19._1\n val coll21 = SELF.R4[Coll[Byte]].get\n val coll22 = SELF.R7[Coll[Byte]].get\n val l23 = SELF.R9[Long].get\n val coll24 = placeholder[Coll[Byte]](12)\n val bool25 = box12.tokens(placeholder[Int](13))._1 == coll24\n val bool26 = box12.R6[Int].get == i11\n val bool27 = box7.tokens(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15)\n val bool28 = (box15.tokens(placeholder[Int](16))._1 == coll24) && (box15.R6[Int].get == i9)\n val l29 = SELF.value\n val coll30 = placeholder[Coll[Byte]](17)\n val coll31 = tuple5._1\n if (box1 == SELF) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val box33 = coll4(placeholder[Int](19))\n val coll34 = box33.tokens\n val bi35 = box32.value.toBigInt - placeholder[Int](20).toBigInt\n val bi36 = box33.R4[Int].get.toBigInt\n val bi37 = box33.value.toBigInt\n val i38 = placeholder[Int](21)\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box32.propositionBytes == coll3) && (\n coll34(placeholder[Int](22))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * placeholder[Int](23).toBigInt / placeholder[BigInt](\n 24\n ) * i38.toBigInt + bi35 * bi36 >= l18.toBigInt * l20.toBigInt / i38.toBigInt\n )\n ) && (box32.tokens(placeholder[Int](25)) == tuple5)\n ) && (\n (\n (\n (((box32.R4[Coll[Byte]].get == coll21) && (box32.R5[(Int, Int)].get == tuple10)) && (box32.R6[(Long, Long)].get == tuple19)) && (\n box32.R7[Coll[Byte]].get == coll22\n )\n ) && (box32.R8[GroupElement].get == ge2)\n ) && (box32.R9[Long].get == l23)\n )\n ) && bool25\n ) && bool26\n ) && bool27\n ) && (coll34(placeholder[Int](26))._1 == coll22)\n ) && bool28\n )\n )} else { if (INPUTS(placeholder[Int](27)) == SELF) {(\n val box32 = OUTPUTS(placeholder[Int](28))\n val coll33 = box32.propositionBytes\n val l34 = box32.value\n val box35 = OUTPUTS(placeholder[Int](29))\n val bool36 = blake2b256(box35.propositionBytes) == placeholder[Coll[Byte]](30)\n val bool37 = box35.value >= placeholder[Int](31).toLong + placeholder[Long](32)\n val coll38 = box35.tokens\n val tuple39 = coll38(placeholder[Int](33))\n val bool40 = tuple39._1 == coll30\n val l41 = tuple39._2\n val tuple42 = coll38(placeholder[Int](34))\n val bool43 = tuple42 == tuple5\n val coll44 = box1.tokens\n val coll45 = box32.tokens\n sigmaProp((((((((((((coll33 == coll21) && (l34 >= l29 - placeholder[Long](35))) && bool36) && bool37) && (bool40 && (l41 > l18))) && bool43) && bool25) && bool26) && bool27) && bool28) || if (coll44.size >= placeholder[Int](36)) {(\n val bi46 = l29.toBigInt - placeholder[Int](37).toBigInt\n val bi47 = box1.R4[Int].get.toBigInt\n val bi48 = box1.value.toBigInt\n val i49 = placeholder[Int](38)\n val bi50 = coll44(placeholder[Int](39))._2.toBigInt * bi46 * bi47 / bi48 + bi48 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i49.toBigInt + bi46 * bi47\n val bi51 = l18.toBigInt\n val bi52 = bi50 - bi51\n val bi53 = tuple19._2.toBigInt\n val bi54 = bi52 * i49.toBigInt - bi53 / i49.toBigInt\n (((((((((((bi50 <= bi51 * l20.toBigInt / i49.toBigInt) || (HEIGHT.toLong > l23)) && bool36) && bool40) && bool37) && if (bi54 < placeholder[BigInt](42)) { l41.toBigInt >= bi50 } else {(\n val box55 = OUTPUTS(placeholder[Int](43))\n val tuple56 = box55.tokens(placeholder[Int](44))\n (((l41.toBigInt >= bi51 + bi52 * bi53 / i49.toBigInt) && (tuple56._2.toBigInt >= bi54)) && (box55.propositionBytes == coll21)) && (tuple56._1 == coll30)\n )}) && bool43) && (coll44(placeholder[Int](45))._1 == coll22)) && bool25) && bool26) && bool27) && bool28\n )} else { placeholder[Boolean](46) }) || if ((coll45.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple46 = coll45(placeholder[Int](49))\n val l47 = tuple46._2\n val box48 = coll4(placeholder[Int](50))\n val coll49 = box48.tokens\n val bi50 = l34.toBigInt - placeholder[Int](51).toBigInt\n val bi51 = box48.R4[Int].get.toBigInt\n val bi52 = box48.value.toBigInt\n val i53 = placeholder[Int](52)\n ((((((((((((((coll33 == coll3) && (l34 >= l29)) && (tuple46._1 == coll31)) && (l47.toBigInt >= l6.toBigInt - l41.toBigInt * placeholder[Long](53).toBigInt / l17.toBigInt)) && ((((((box32.R4[Coll[Byte]].get == coll21) && (box32.R5[(Int, Int)].get == tuple10)) && (box32.R6[(Long, Long)].get == tuple19)) && (box32.R7[Coll[Byte]].get == coll22)) && (box32.R8[GroupElement].get == ge2)) && (box32.R9[Long].get == l23))) && bool36) && bool37) && bool40) && ((tuple42._2 == l6 - l47) && (tuple42._1 == coll31))) && bool25) && bool26) && bool27) && bool28) && (coll49(placeholder[Int](54))._2.toBigInt * bi50 * bi51 / bi52 + bi52 * placeholder[Int](55).toBigInt / placeholder[BigInt](56) * i53.toBigInt + bi50 * bi51 >= l47 * l17 / placeholder[Long](57).toBigInt * l20.toBigInt / i53.toBigInt)) && (coll49(placeholder[Int](58))._1 == coll22)\n )} else { placeholder[Boolean](59) })\n )} else { sigmaProp(placeholder[Boolean](60)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "3e2c722bedcb2b87702a6a0c1f2e6ac2ce1695e35c51d171db0ebb368e875920",
"index": 0,
"amount": 100,
"name": "Borrow Token SigRSV-00",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "580202",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,1]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R7": {
"serializedValue": "0e201d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f"
},
"R9": {
"serializedValue": "059089b101",
"sigmaType": "SLong",
"renderedValue": "1450568"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
}
],
"dataInputs": [
{
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"value": 5000000,
"index": 0,
"outputBlockId": "cb67683a7ec9e58a1959ab852bfb4cad0f69e57b821b1ee253b122a4e343cbca",
"outputTransactionId": "2597ac3b77f3560e619a344c8adefaa65257c6f889d7485efbef6692b0cf3523",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "11068084af5f8c85af5f8c85af5fd88daf5fd88daf5fd88daf5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000,100000070,100000070,100000620,100000620,100000620]"
},
"R5": {
"serializedValue": "05d4a58001",
"sigmaType": "SLong",
"renderedValue": "1050986"
},
"R6": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
}
}
},
{
"boxId": "57e92fc6a2efa1d9bd168a515863aa8b402f97d48b4bf7195a50744c16b89072",
"value": 300000000,
"index": 1,
"outputBlockId": "98e2d283579bc558f1e46057ffa3984db763d32941b6bfaff18b331e76eaa47b",
"outputTransactionId": "1e1daa78d0c8254013b6c93ef86ccbdb3697583c3fe6c40470e676d0174b3eea",
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"address": "DV3GJyrM5t1YnrEfyQCwxvMiydrHspYx4pqX5LNRYpgJ9Pct1DxBrtDvEfswSdswdibQLSpe2PFNENyNb3TVwUeYjRujpSBkXKdtUJVF55gCqu2NfamfZjecjqAm1m2r5G6AkzxXCQ1FtsKSivtn6Qq5aNq8sXNnmNdMsZMKAEvYQJQjAFfYktAqkMJuE4EcFmXZQQNf64VC56H7cB5YswJbAR8nSBZXAivNn5X5JgkBNZkEJUHMF7PYNTR12eiFpDYYrDfdfN5ctsbyZ6KbeN6Sc9LYhbfjhaNyMVCNvAX2D6x8uAdhsifR4XFhvYo9CjjCLh7pJdbdYGNibSKghknZyg6PDaF34x4equGgk97PjUA6jU1FfEN3m9Q4gqGGeM1HbSx7bUUnMRkW6fx7ftqZqFvfv1nPmrPasKY4u3cqebRVDFFtvrtfGNR8rr2DqNDD4WFvtDsxdGxUeQV49FdjLPMv3i3P",
"assets": [],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000]"
}
}
},
{
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"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04c60f",
"sigmaType": "SInt",
"renderedValue": "995"
}
}
}
],
"outputs": [
{
"boxId": "9b71b5dc401f66fa690c8818eb5c693b28ff755a97da6dc499f4077d5fe7bd7e",
"transactionId": "dde61b46fc241f57d58a48cc2cc6e9841777149501a6acac2613dd86a6d9a166",
"blockId": "ab5dde253642f026a2d3856a38db2a9d5fa9092fbe44fc981203447eb38f908c",
"value": 90000000,
"index": 0,
"globalIndex": 31103623,
"creationHeight": 1051009,
"settlementHeight": 1051011,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 0\n4: 100000000\n5: 100000000\n6: 2\n7: 1\n8: 0\n9: 100000000\n10: 100000000\n11: 100000000\n12: Coll(66,-100,-75,-62,105,13,-63,19,74,-106,125,106,-86,-15,38,51,-59,-16,102,50,78,-114,-18,-54,21,39,6,125,43,93,9,48)\n13: 0\n14: 0\n15: Coll(102,121,-8,-57,3,-14,-60,111,-103,-114,84,89,-71,82,67,62,11,74,-101,-42,111,98,94,48,-81,-4,-24,116,66,76,-76,79)\n16: 0\n17: Coll(0,59,-47,-99,1,-121,17,127,19,11,98,-31,-68,-85,9,57,-110,-97,-11,-57,112,-97,-124,60,92,77,-47,88,-108,-110,-123,-48)\n18: 0\n19: 3\n20: 5000000\n21: 1000\n22: 2\n23: 2\n24: CBigInt(100)\n25: 0\n26: 0\n27: 1\n28: 0\n29: 1\n30: Coll(-117,119,-14,31,-96,116,-41,43,-97,-13,-90,-111,19,86,-90,93,14,70,-1,-32,30,-126,24,-117,-22,71,59,84,-50,-66,85,37)\n31: 1000000\n32: 1000000\n33: 1\n34: 0\n35: 1000000\n36: 3\n37: 5000000\n38: 1000\n39: 2\n40: 2\n41: CBigInt(100)\n42: CBigInt(1)\n43: 2\n44: 0\n45: 0\n46: false\n47: 1\n48: 3\n49: 0\n50: 3\n51: 5000000\n52: 1000\n53: 100000000\n54: 2\n55: 2\n56: CBigInt(100)\n57: 100000000\n58: 0\n59: false\n60: 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.tokens(placeholder[Int](1))\n val l6 = tuple5._2\n val box7 = coll4(placeholder[Int](2))\n val coll8 = box7.R4[Coll[Long]].get\n val i9 = coll8.size\n val tuple10 = SELF.R5[(Int, Int)].get\n val i11 = tuple10._1\n val box12 = coll4(placeholder[Int](3))\n val coll13 = box12.R4[Coll[Long]].get\n val l14 = coll13.slice(tuple10._2, coll13.size).fold(placeholder[Long](4), {(tuple14: (Long, Long)) => tuple14._1 * tuple14._2 / placeholder[Long](5) })\n val box15 = coll4(placeholder[Int](6))\n val coll16 = box15.R4[Coll[Long]].get\n val l17 = if (i9 == i11) { l14 } else {(\n val i17 = i11 + placeholder[Int](7)\n val l18 = coll16.slice(placeholder[Int](8), coll16.size).fold(l14, {(tuple18: (Long, Long)) => tuple18._1 * tuple18._2 / placeholder[Long](9) })\n if (i9 == i17) { l18 } else { coll8.slice(i17, i9).fold(l18, {(tuple19: (Long, Long)) => tuple19._1 * tuple19._2 / placeholder[Long](10) }) }\n )}\n val l18 = l6 * l17 / placeholder[Long](11)\n val tuple19 = SELF.R6[(Long, Long)].get\n val l20 = tuple19._1\n val coll21 = SELF.R4[Coll[Byte]].get\n val coll22 = SELF.R7[Coll[Byte]].get\n val l23 = SELF.R9[Long].get\n val coll24 = placeholder[Coll[Byte]](12)\n val bool25 = box12.tokens(placeholder[Int](13))._1 == coll24\n val bool26 = box12.R6[Int].get == i11\n val bool27 = box7.tokens(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15)\n val bool28 = (box15.tokens(placeholder[Int](16))._1 == coll24) && (box15.R6[Int].get == i9)\n val l29 = SELF.value\n val coll30 = placeholder[Coll[Byte]](17)\n val coll31 = tuple5._1\n if (box1 == SELF) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val box33 = coll4(placeholder[Int](19))\n val coll34 = box33.tokens\n val bi35 = box32.value.toBigInt - placeholder[Int](20).toBigInt\n val bi36 = box33.R4[Int].get.toBigInt\n val bi37 = box33.value.toBigInt\n val i38 = placeholder[Int](21)\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (box32.propositionBytes == coll3) && (\n coll34(placeholder[Int](22))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * placeholder[Int](23).toBigInt / placeholder[BigInt](\n 24\n ) * i38.toBigInt + bi35 * bi36 >= l18.toBigInt * l20.toBigInt / i38.toBigInt\n )\n ) && (box32.tokens(placeholder[Int](25)) == tuple5)\n ) && (\n (\n (\n (((box32.R4[Coll[Byte]].get == coll21) && (box32.R5[(Int, Int)].get == tuple10)) && (box32.R6[(Long, Long)].get == tuple19)) && (\n box32.R7[Coll[Byte]].get == coll22\n )\n ) && (box32.R8[GroupElement].get == ge2)\n ) && (box32.R9[Long].get == l23)\n )\n ) && bool25\n ) && bool26\n ) && bool27\n ) && (coll34(placeholder[Int](26))._1 == coll22)\n ) && bool28\n )\n )} else { if (INPUTS(placeholder[Int](27)) == SELF) {(\n val box32 = OUTPUTS(placeholder[Int](28))\n val coll33 = box32.propositionBytes\n val l34 = box32.value\n val box35 = OUTPUTS(placeholder[Int](29))\n val bool36 = blake2b256(box35.propositionBytes) == placeholder[Coll[Byte]](30)\n val bool37 = box35.value >= placeholder[Int](31).toLong + placeholder[Long](32)\n val coll38 = box35.tokens\n val tuple39 = coll38(placeholder[Int](33))\n val bool40 = tuple39._1 == coll30\n val l41 = tuple39._2\n val tuple42 = coll38(placeholder[Int](34))\n val bool43 = tuple42 == tuple5\n val coll44 = box1.tokens\n val coll45 = box32.tokens\n sigmaProp((((((((((((coll33 == coll21) && (l34 >= l29 - placeholder[Long](35))) && bool36) && bool37) && (bool40 && (l41 > l18))) && bool43) && bool25) && bool26) && bool27) && bool28) || if (coll44.size >= placeholder[Int](36)) {(\n val bi46 = l29.toBigInt - placeholder[Int](37).toBigInt\n val bi47 = box1.R4[Int].get.toBigInt\n val bi48 = box1.value.toBigInt\n val i49 = placeholder[Int](38)\n val bi50 = coll44(placeholder[Int](39))._2.toBigInt * bi46 * bi47 / bi48 + bi48 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i49.toBigInt + bi46 * bi47\n val bi51 = l18.toBigInt\n val bi52 = bi50 - bi51\n val bi53 = tuple19._2.toBigInt\n val bi54 = bi52 * i49.toBigInt - bi53 / i49.toBigInt\n (((((((((((bi50 <= bi51 * l20.toBigInt / i49.toBigInt) || (HEIGHT.toLong > l23)) && bool36) && bool40) && bool37) && if (bi54 < placeholder[BigInt](42)) { l41.toBigInt >= bi50 } else {(\n val box55 = OUTPUTS(placeholder[Int](43))\n val tuple56 = box55.tokens(placeholder[Int](44))\n (((l41.toBigInt >= bi51 + bi52 * bi53 / i49.toBigInt) && (tuple56._2.toBigInt >= bi54)) && (box55.propositionBytes == coll21)) && (tuple56._1 == coll30)\n )}) && bool43) && (coll44(placeholder[Int](45))._1 == coll22)) && bool25) && bool26) && bool27) && bool28\n )} else { placeholder[Boolean](46) }) || if ((coll45.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple46 = coll45(placeholder[Int](49))\n val l47 = tuple46._2\n val box48 = coll4(placeholder[Int](50))\n val coll49 = box48.tokens\n val bi50 = l34.toBigInt - placeholder[Int](51).toBigInt\n val bi51 = box48.R4[Int].get.toBigInt\n val bi52 = box48.value.toBigInt\n val i53 = placeholder[Int](52)\n ((((((((((((((coll33 == coll3) && (l34 >= l29)) && (tuple46._1 == coll31)) && (l47.toBigInt >= l6.toBigInt - l41.toBigInt * placeholder[Long](53).toBigInt / l17.toBigInt)) && ((((((box32.R4[Coll[Byte]].get == coll21) && (box32.R5[(Int, Int)].get == tuple10)) && (box32.R6[(Long, Long)].get == tuple19)) && (box32.R7[Coll[Byte]].get == coll22)) && (box32.R8[GroupElement].get == ge2)) && (box32.R9[Long].get == l23))) && bool36) && bool37) && bool40) && ((tuple42._2 == l6 - l47) && (tuple42._1 == coll31))) && bool25) && bool26) && bool27) && bool28) && (coll49(placeholder[Int](54))._2.toBigInt * bi50 * bi51 / bi52 + bi52 * placeholder[Int](55).toBigInt / placeholder[BigInt](56) * i53.toBigInt + bi50 * bi51 >= l47 * l17 / placeholder[Long](57).toBigInt * l20.toBigInt / i53.toBigInt)) && (coll49(placeholder[Int](58))._1 == coll22)\n )} else { placeholder[Boolean](59) })\n )} else { sigmaProp(placeholder[Boolean](60)) } }\n}",
"address": "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",
"assets": [
{
"tokenId": "3e2c722bedcb2b87702a6a0c1f2e6ac2ce1695e35c51d171db0ebb368e875920",
"index": 0,
"amount": 42,
"name": "Borrow Token SigRSV-00",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "580202",
"sigmaType": "(SInt, SInt)",
"renderedValue": "[1,1]"
},
"R6": {
"serializedValue": "59c413d804",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R7": {
"serializedValue": "0e201d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f",
"sigmaType": "Coll[SByte]",
"renderedValue": "1d5afc59838920bb5ef2a8f9d63825a55b1d48e269d7cecee335d637c3ff5f3f"
},
"R9": {
"serializedValue": "059089b101",
"sigmaType": "SLong",
"renderedValue": "1450568"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "4f0c5fb6b53a3b1d6065929cf20d8fd6525578cfb04ca437450a0e207baa3ce6",
"mainChain": true
},
{
"boxId": "f05ad2f91d2d6b63b1108c8c2977b4fd21ea7cd0d41fea5baddc3b317b8207a0",
"transactionId": "dde61b46fc241f57d58a48cc2cc6e9841777149501a6acac2613dd86a6d9a166",
"blockId": "ab5dde253642f026a2d3856a38db2a9d5fa9092fbe44fc981203447eb38f908c",
"value": 2000000,
"index": 1,
"globalIndex": 31103624,
"creationHeight": 1051009,
"settlementHeight": 1051011,
"ergoTree": "100f04000e200641d5e3d75d39802b127240cef0dc064539abfaf6e3b57f5d94d4458b9b3322040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(6,65,-43,-29,-41,93,57,-128,43,18,114,64,-50,-16,-36,6,69,57,-85,-6,-10,-29,-75,127,93,-108,-44,69,-117,-101,51,34)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf58FEeHH49KNi3nY494qpL3MmjZGRwZTqKiwywuCgvfrmAyv2dEyU17ZDcSnazgigNngEUQqZPR83iWN9WmxFVif4W654Tp4oRJ3hyFnq9ok2uL9WgkY9SmMztx4dWXeDXRyerDBfNhG3nKvN2cpsy1SvAiamUgG4dHChM8KydfiZ1sw7wQMC7RXv4R5C5P86b564HkGBhWQvs8aCiUz4PtQC86UKLMJTWkBq9pAee7mEkAXkdENT6SMdbhtoWDrhGXqByRyGbZ442atXA2bnzNgTs7BThbCMhdXUkbqryzz4djXHxAFMNz8bhTMUMDfqkfpUU8Gad4qK",
"assets": [
{
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},
{
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}
],
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}