Transaction
ID: a67f1f12bd...7984
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
1,302.58 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
1,300
2,250
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
2,250
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1,302.58 ERG
Tokens:
1,300
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 291,276
Total coins transferred: 1,302.58 ERG
Fees: 0.001 ERG
Fees per byte: 0.000001577 ERG
Raw Transaction Data
{
"id": "a67f1f12bd6c18e3e358cd4ea2dfa96c40aa70934f04b66ba81ea2b99c7d7984",
"blockId": "6ca5dd53f7b474acb891c8cc72f0094d5ce3085ad617fc1020f98c01dc47f528",
"inclusionHeight": 1467711,
"timestamp": 1740317152995,
"index": 3,
"globalIndex": 8623023,
"numConfirmations": 291276,
"inputs": [
{
"boxId": "0a480ed34e102bb780dbe8c344fb334a7fbff6f3efa05373eed0c2b947ae2f4c",
"value": 1302576572002,
"index": 0,
"spendingProof": null,
"outputBlockId": "40bcd84fda2b4ad0bfae6a35ad6bf13eb52cfb557db1a2d3e0a8d01f625706c8",
"outputTransactionId": "1ca7aabb6f37bcd0f6bd6f454f4c11ec1e5d9ce2f710b42ff26154ac2bd35cb9",
"outputIndex": 0,
"outputGlobalIndex": 46448557,
"outputCreatedAt": 1467707,
"outputSettledAt": 1467709,
"ergoTree": "100904060400040001010101010104000580897a04bd019592b1a57300d802d601b2a5730100d602b2db63087201730200d1ededededed93c27201e4c6a7050eed938c720201e4c6a7080e928c720202e4c6a7040593e4c67201040ec5a7730373047305d801d601b2a5730600d1ededed93c27201e4c6a7050e92c1720199c1a7730792a3e4c6a7060491a37308",
"ergoTreeConstants": "0: 3\n1: 0\n2: 0\n3: true\n4: true\n5: true\n6: 0\n7: 1000000\n8: -95",
"ergoTreeScript": "{if (OUTPUTS.size >= placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n val tuple2 = box1.tokens(placeholder[Int](2))\n sigmaProp(\n (\n (\n (\n ((box1.propositionBytes == SELF.R5[Coll[Byte]].get) && ((tuple2._1 == SELF.R8[Coll[Byte]].get) && (tuple2._2 >= SELF.R4[Long].get))) && (\n box1.R4[Coll[Byte]].get == SELF.id\n )\n ) && placeholder[Boolean](3)\n ) && placeholder[Boolean](4)\n ) && placeholder[Boolean](5)\n )\n)} else {(\n val box1 = OUTPUTS(placeholder[Int](6))\n sigmaProp(\n (((box1.propositionBytes == SELF.R5[Coll[Byte]].get) && (box1.value >= SELF.value - placeholder[Long](7))) && (HEIGHT >= SELF.R6[Int].get)) && (\n HEIGHT > placeholder[Int](8)\n )\n )\n)}}",
"address": "Fgu7JeiUT7BUFAkE22qXoQ1hNsmG6hNaMeRnEcmk1NedkQXTzR4xEfHgS83wkub2jrMSytnfyp5vk1MtitLL2obQH2TKQ8DZvto1B7yr3ypabKK1NsGS92svkuLa8DdKffSVCC67G5oBf7aAQqW7HA4wxsdVGmeZQpQhEDc983ojyYHHwDpLypke8a6AYAYapr7TDxoe",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03b4f904f701e13e73f7330b62266d3be403d2c5419ce1cb880f692e01f1d40fc0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03b4f904f701e13e73f7330b62266d3be403d2c5419ce1cb880f692e01f1d40fc0"
},
"R6": {
"serializedValue": "049095b301",
"sigmaType": "SInt",
"renderedValue": "1467720"
},
"R8": {
"serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"sigmaType": "Coll[SByte]",
"renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
},
"R7": {
"serializedValue": "0e20e3f1692972f938d3bcc6d7a994675526d66ff1cc8ed4268ce677e56d5a5e2f2f",
"sigmaType": "Coll[SByte]",
"renderedValue": "e3f1692972f938d3bcc6d7a994675526d66ff1cc8ed4268ce677e56d5a5e2f2f"
},
"R4": {
"serializedValue": "05d0bb1b",
"sigmaType": "SLong",
"renderedValue": "225000"
}
}
},
{
"boxId": "e3f1692972f938d3bcc6d7a994675526d66ff1cc8ed4268ce677e56d5a5e2f2f",
"value": 4000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "a5079bca689fadc81401b9ab7317a41e5f7bc5cc946e114ee2e1670133d00a7b",
"outputTransactionId": "adec0c1424d504210223ea91fd8e3b5836e209e019e84ab1a26c0d8a6e9801b4",
"outputIndex": 0,
"outputGlobalIndex": 46241156,
"outputCreatedAt": 1460074,
"outputSettledAt": 1460076,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: CBigInt(1)\n3: 1\n4: 1\n5: 0\n6: 100000000\n7: 100000000\n8: 2\n9: 1\n10: 0\n11: 100000000\n12: 100000000\n13: 100000000\n14: Coll(19,-70,-37,59,12,48,74,109,88,89,-9,10,-61,65,-43,-78,-76,-50,-80,-66,76,100,10,-26,-47,-83,58,-118,30,-33,98,-123)\n15: 0\n16: 0\n17: Coll(82,85,-59,-79,-38,116,-103,66,54,-18,93,115,117,22,-48,40,57,-12,60,-58,-74,27,32,110,29,-63,-98,-45,-99,-100,17,-72)\n18: 0\n19: 0\n20: 0\n21: 3\n22: 2\n23: 1000\n24: 2\n25: CBigInt(100)\n26: 4000000\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 1\n33: Coll(113,37,-28,-114,96,-115,19,-44,101,75,14,44,-51,25,122,64,-90,-46,6,84,-103,104,-61,118,-50,7,-64,48,-12,-79,88,-13)\n34: 1000000\n35: 0\n36: CBigInt(2)\n37: 3\n38: 2\n39: 1000\n40: 2\n41: CBigInt(100)\n42: 4000000\n43: 1000000\n44: 2\n45: 0\n46: false\n47: 2\n48: 3\n49: 1\n50: 3\n51: 2\n52: 1000\n53: 2\n54: CBigInt(100)\n55: 4000000\n56: 0\n57: 100000000\n58: 1000000\n59: 2000000\n60: 50000000\n61: 1000000\n62: 100000000\n63: 5\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 l4 = SELF.value\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](1))\n val coll7 = CONTEXT.dataInputs\n val tuple8 = SELF.R6[(Long, Long)].get\n val l9 = tuple8._1\n val bi10 = placeholder[BigInt](2)\n val tuple11 = coll5(placeholder[Int](3))\n val l12 = tuple11._2\n val bi13 = l12.toBigInt\n val box14 = coll7(placeholder[Int](4))\n val coll15 = box14.R4[Coll[Long]].get\n val i16 = coll15.size\n val tuple17 = SELF.R5[(Int, Int)].get\n val i18 = tuple17._1\n val box19 = coll7(placeholder[Int](5))\n val coll20 = box19.R4[Coll[Long]].get\n val l21 = coll20.slice(tuple17._2, coll20.size).fold(placeholder[Long](6), {(tuple21: (Long, Long)) => tuple21._1 * tuple21._2 / placeholder[Long](7) })\n val box22 = coll7(placeholder[Int](8))\n val coll23 = box22.R4[Coll[Long]].get\n val bi24 = if (i16 == i18) { l21 } else {(\n val i24 = i18 + placeholder[Int](9)\n val l25 = coll23.slice(placeholder[Int](10), coll23.size).fold(l21, {(tuple25: (Long, Long)) => tuple25._1 * tuple25._2 / placeholder[Long](11) })\n if (i16 == i24) { l25 } else { coll15.slice(i24, i16).fold(l25, {(tuple26: (Long, Long)) => tuple26._1 * tuple26._2 / placeholder[Long](12) }) }\n )}.toBigInt\n val l25 = placeholder[Long](13)\n val bi26 = bi10 + bi13 * bi24 / l25.toBigInt\n val coll27 = SELF.R4[Coll[Byte]].get\n val coll28 = SELF.R7[Coll[Byte]].get\n val tuple29 = SELF.R9[(Long, Long)].get\n val l30 = tuple29._1\n val l31 = tuple29._2\n val coll32 = placeholder[Coll[Byte]](14)\n val bool33 = box19.tokens(placeholder[Int](15))._1 == coll32\n val bool34 = box19.R6[Int].get == i18\n val bool35 = box14.tokens(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17)\n val bool36 = (box22.tokens(placeholder[Int](18))._1 == coll32) && (box22.R6[Int].get == i16)\n val coll37 = tuple11._1\n if (box1 == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](19))\n val coll39 = box38.tokens\n val tuple40 = coll39(placeholder[Int](20))\n val box41 = coll7(placeholder[Int](21))\n val bi42 = tuple40._2.toBigInt\n val bi43 = box41.R4[Int].get.toBigInt\n val coll44 = box41.tokens\n val bi45 = coll44(placeholder[Int](22))._2.toBigInt\n val i46 = placeholder[Int](23)\n val tuple47 = box38.R9[(Long, Long)].get\n proveDlog(ge2) && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((box38.propositionBytes == coll3) && (box38.value >= l4)) && (tuple40._1 == tuple6._1)) && (\n box41.value.toBigInt * bi42 * bi43 / bi45 + bi45 * placeholder[Int](24).toBigInt / placeholder[BigInt](\n 25\n ) * i46.toBigInt + bi42 * bi43 - placeholder[Int](26).toBigInt > bi26 * l9.toBigInt / i46.toBigInt\n )\n ) && (coll39(placeholder[Int](27)) == tuple11)\n ) && (\n (\n (\n (\n (((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (\n box38.R7[Coll[Byte]].get == coll28\n )\n ) && (box38.R8[GroupElement].get == ge2)\n ) && (tuple47._1 == l30)\n ) && (tuple47._2 == l31)\n )\n ) && bool33\n ) && bool34\n ) && bool35\n ) && (coll44(placeholder[Int](28))._1 == coll28)\n ) && bool36\n )\n )} else { if (INPUTS(placeholder[Int](29)) == SELF) {(\n val box38 = OUTPUTS(placeholder[Int](30))\n val coll39 = box38.propositionBytes\n val coll40 = box38.tokens\n val tuple41 = coll40(placeholder[Int](31))\n val bool42 = tuple41 == tuple6\n val box43 = OUTPUTS(placeholder[Int](32))\n val bool44 = blake2b256(box43.propositionBytes) == placeholder[Coll[Byte]](33)\n val l45 = box43.value\n val bi46 = l45.toBigInt\n val l47 = placeholder[Long](34)\n val tuple48 = box43.tokens(placeholder[Int](35))\n val bool49 = tuple48 == tuple11\n val coll50 = box1.tokens\n val l51 = box38.value\n sigmaProp(((((((((((coll39 == coll27) && bool42) && bool44) && (bi46 >= max(bi26 + l47.toBigInt, placeholder[BigInt](36) * l47.toBigInt))) && bool49) && bool33) && bool34) && bool35) && bool36) || if (coll50.size >= placeholder[Int](37)) {(\n val bi52 = tuple6._2.toBigInt\n val bi53 = box1.R4[Int].get.toBigInt\n val bi54 = coll50(placeholder[Int](38))._2.toBigInt\n val i55 = placeholder[Int](39)\n val bi56 = box1.value.toBigInt * bi52 * bi53 / bi54 + bi54 * placeholder[Int](40).toBigInt / placeholder[BigInt](41) * i55.toBigInt + bi52 * bi53 - placeholder[Int](42).toBigInt\n val bi57 = bi56 - bi26\n val bi58 = tuple8._2.toBigInt\n val bi59 = bi57 * i55.toBigInt - bi58 / i55.toBigInt\n ((((((((((bi56 <= bi26 * l9.toBigInt / i55.toBigInt) && (HEIGHT.toLong > l31)) || (HEIGHT.toLong > l30)) && bool44) && if (bi59 < placeholder[Int](43).toBigInt) { bi46 >= bi56 } else {(\n val box60 = OUTPUTS(placeholder[Int](44))\n ((bi46 >= bi26 + bi57 * bi58 / i55.toBigInt) && (box60.value.toBigInt >= bi59)) && (box60.propositionBytes == coll27)\n )}) && bool49) && (coll50(placeholder[Int](45))._1 == coll28)) && bool33) && bool34) && bool35) && bool36\n )} else { placeholder[Boolean](46) }) || if ((coll40.size >= placeholder[Int](47)) && (box1.tokens.size < placeholder[Int](48))) {(\n val tuple52 = box38.R9[(Long, Long)].get\n val l53 = tuple52._2\n val bool54 = coll39 == coll3\n val tuple55 = coll40(placeholder[Int](49))\n val l56 = tuple55._2\n val bi57 = l56.toBigInt\n val bool58 = (((((box38.R4[Coll[Byte]].get == coll27) && (box38.R5[(Int, Int)].get == tuple17)) && (box38.R6[(Long, Long)].get == tuple8)) && (box38.R7[Coll[Byte]].get == coll28)) && (box38.R8[GroupElement].get == ge2)) && (tuple52._1 == l30)\n val box59 = coll7(placeholder[Int](50))\n val bi60 = tuple41._2.toBigInt\n val bi61 = box59.R4[Int].get.toBigInt\n val coll62 = box59.tokens\n val bi63 = coll62(placeholder[Int](51))._2.toBigInt\n val i64 = placeholder[Int](52)\n val bi65 = box59.value.toBigInt * bi60 * bi61 / bi63 + bi63 * placeholder[Int](53).toBigInt / placeholder[BigInt](54) * i64.toBigInt + bi60 * bi61 - placeholder[Int](55).toBigInt\n val bi66 = bi10 + bi57 * bi24 / l25.toBigInt\n val bi67 = bi66 * l9.toBigInt / i64.toBigInt\n val bool68 = coll62(placeholder[Int](56))._1 == coll28\n if (l53 == placeholder[Long](57)) { (((((((((((((((bool54 && (l51 >= l4)) && bool42) && (tuple55._1 == coll37)) && (bi57 >= bi13 - l45 - placeholder[Long](58).toBigInt * l25.toBigInt / bi24)) && bool58) && (l31 == l53)) && bool44) && (l45 >= placeholder[Long](59))) && ((tuple48._2 == l12 - l56) && (tuple48._1 == coll37))) && bool33) && bool34) && bool35) && bool36) && (bi65 >= bi67)) && bool68) && (bi66 >= placeholder[Long](60).toBigInt) } else { (((((((((((bi65 < bi67) && bool54) && (l51 >= l4 - placeholder[Long](61))) && (coll40 == coll5)) && (l31 == placeholder[Long](62))) && bool58) && bool33) && bool34) && bool35) && bool36) && bool68) && ((l53 > HEIGHT.toLong) && (l53 < HEIGHT + placeholder[Int](63).toLong)) }\n )} else { placeholder[Boolean](64) })\n )} else { sigmaProp(placeholder[Boolean](65)) } }\n}",
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"assets": [
{
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"index": 0,
"amount": 225000,
"name": "SigUSD",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 1300000000000,
"name": "Borrow Token ERG-0e",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SInt, SInt)",
"renderedValue": "[7,394]"
},
"R6": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1250,300]"
},
"R8": {
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"sigmaType": "SGroupElement",
"renderedValue": "03b4f904f701e13e73f7330b62266d3be403d2c5419ce1cb880f692e01f1d40fc0"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "9916d75132593c8b07fe18bd8d583bda1652eed7565cf41a4738ddd90fc992ec"
},
"R9": {
"serializedValue": "598291ba018084af5f",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1524801,100000000]"
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03b4f904f701e13e73f7330b62266d3be403d2c5419ce1cb880f692e01f1d40fc0"
}
}
}
],
"dataInputs": [
{
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"value": 44900000,
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"assets": [],
"additionalRegisters": {
"R5": {
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"sigmaType": "SLong",
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},
"R6": {
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"sigmaType": "SInt",
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"R8": {
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"sigmaType": "SBoolean",
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},
"R7": {
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"sigmaType": "SBoolean",
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},
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"ergoTree": "100c04000e2090290924d95d699f5852d54dd5c20d01a3c729b11e7ccb5444671f62bec3b4bc0400040004000580897a058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d805d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d1edededed938cb27202730300017203938cb272057304000172039299c17201c1720499c1a7730593999973068cb27205730700029973088cb27202730900028cb2db6308a7730a000293b2a4730b00a7",
"ergoTreeConstants": "0: 0\n1: Coll(-112,41,9,36,-39,93,105,-97,88,82,-43,77,-43,-62,13,1,-93,-57,41,-79,30,124,-53,84,68,103,31,98,-66,-61,-76,-68)\n2: 0\n3: 0\n4: 0\n5: 1000000\n6: 9000000000000000\n7: 2\n8: 9000000000000000\n9: 2\n10: 0\n11: 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 sigmaProp(\n (\n (\n ((coll2(placeholder[Int](3))._1 == coll3) && (coll5(placeholder[Int](4))._1 == coll3)) && (box1.value - box4.value >= SELF.value - placeholder[Long](5))\n ) && (placeholder[Long](6) - coll5(placeholder[Int](7))._2 - placeholder[Long](8) - coll2(placeholder[Int](9))._2 == SELF.tokens(placeholder[Int](10))._2)\n ) && (INPUTS(placeholder[Int](11)) == SELF)\n )\n}",
"address": "YFWk9RGcvBZWrfRvAHd9uRQWrdW42fTb1TNhJDAoVCQgASqQmhdVB287nhHKGY5toAFQWUVuYGe5G7CAeqpNNAsDvEKeZLXTK6WAS7SBDp51Gt7LGubSe7KvK6X3hi6WwN6SSJ4DXpZ85gnmSPH9heL9TxW1GPjtNtijMGmeh87ozqQ3QERx1o7QAYKf3UiJWth8jbCq7qt5pkEQNZzihkTf1KFXKLFP5xbGXWBLwzJMvAF7Ubpna2oPoXN4phAyyRXQQDtN",
"assets": [
{
"tokenId": "d90d4000ed4b826856b93fc3d1e2c10ecb8a08dc0172fe72f58c43d28e681b49",
"index": 0,
"amount": 1300000000000,
"name": "Borrow Token ERG-0e",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "71fe03a2b80d7c103d4e9639208d46b363f31f4d87111f03bae73c8c28835a18",
"mainChain": true
},
{
"boxId": "738f8a4bbb58b1d179f7d15c0dd1d636328c2cd639825d8c14a1c21a407d1be8",
"transactionId": "a67f1f12bd6c18e3e358cd4ea2dfa96c40aa70934f04b66ba81ea2b99c7d7984",
"blockId": "6ca5dd53f7b474acb891c8cc72f0094d5ce3085ad617fc1020f98c01dc47f528",
"value": 1000000,
"index": 2,
"globalIndex": 46448726,
"creationHeight": 1467709,
"settlementHeight": 1467711,
"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": "09d2c08efdf24cedb50298441477ce20eb6d4c656c103d03f92019459061a724",
"mainChain": true
}
],
"size": 634,
"isUnconfirmed": false
}