Transaction
ID: a2a8946a37...4c57
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.28 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.27 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 29,800
Total coins transferred: 1.28 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000381 ERG
Raw Transaction Data
{
"id": "a2a8946a378d3b012ce100cb517e83eb83bad5f0feb95838918117fe9f1d4c57",
"blockId": "cc84ddb0dcb72dd88949c71cf72ec734a01ab7ec6939832844080eb8379f11e8",
"inclusionHeight": 1730604,
"timestamp": 1772139301874,
"index": 4,
"globalIndex": 10364997,
"numConfirmations": 29800,
"inputs": [
{
"boxId": "f7ee99353236e6f5f39c4b54529898dd210fe1374d732841574c128f476264f6",
"value": 1282691837,
"index": 0,
"spendingProof": "9652f8ef0e6eecf7aa40862a52e317bbb07f2019171697984bf5acf04d5937a31a8c281c77e47fb53537299c03e041d789caeed9c0cf80e1",
"outputBlockId": "cc84ddb0dcb72dd88949c71cf72ec734a01ab7ec6939832844080eb8379f11e8",
"outputTransactionId": "32aaa73a3effa8ded689035275ce881256abafff97891e30f3cf090cb5bca58f",
"outputIndex": 2,
"outputGlobalIndex": 53830027,
"outputCreatedAt": 1730603,
"outputSettledAt": 1730604,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [
{
"tokenId": "e1d7fcb9c033970d8485c200efc9febbb17244639c17c57a4c14b76bbd559183",
"index": 0,
"amount": 1,
"name": "USD Pool ballot token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "f05b3c13c2e015020f457975d8368fcbde2d2173a3c936738b0073a2aaebd690",
"transactionId": "a2a8946a378d3b012ce100cb517e83eb83bad5f0feb95838918117fe9f1d4c57",
"blockId": "cc84ddb0dcb72dd88949c71cf72ec734a01ab7ec6939832844080eb8379f11e8",
"value": 10000000,
"index": 0,
"globalIndex": 53830031,
"creationHeight": 1730603,
"settlementHeight": 1730604,
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"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val box2 = OUTPUTS(placeholder[Int](0))\n val bool3 = getVar[Int](1.toByte).get == placeholder[Int](1)\n val coll4 = getVar[Coll[Byte]](2.toByte).get\n val coll5 = getVar[Coll[Byte]](3.toByte).get\n val avlTree6 = SELF.R5[AvlTree].get\n val coll7 = getVar[Coll[Byte]](0.toByte).get\n val box8 = CONTEXT.dataInputs(placeholder[Int](2))\n val i9 = getVar[Int](5.toByte).get\n val coll10 = box8.R4[Coll[Long]].get\n val l11 = HEIGHT.toLong\n val coll12 = getVar[Coll[Byte]](4.toByte).get\n val l13 = coll12(placeholder[Int](3)).toLong\n val l14 = coll12(placeholder[Int](4)).toLong\n val l15 = coll12(placeholder[Int](5)).toLong\n val l16 = coll12(placeholder[Int](6)).toLong * placeholder[Long](7) + if (l13 < placeholder[Long](8)) { l13 + placeholder[Long](9) } else {\n l13\n } * placeholder[Long](10) + if (l14 < placeholder[Long](11)) { l14 + placeholder[Long](12) } else { l14 } * placeholder[Long](13) + if (l15 < placeholder[\n Long\n ](14)) { l15 + placeholder[Long](15) } else { l15 }\n val l17 = coll12(placeholder[Int](16)).toLong\n val l18 = if (l17 < placeholder[Long](17)) { l17 + placeholder[Long](18) } else { l17 }\n val bool19 = l18 > placeholder[Long](19)\n val l20 = coll12(placeholder[Int](20)).toLong\n val l21 = coll12(placeholder[Int](21)).toLong\n val l22 = coll12(placeholder[Int](22)).toLong\n val l23 = coll12(placeholder[Int](23)).toLong * placeholder[Long](24) + if (l20 < placeholder[Long](25)) { l20 + placeholder[Long](26) } else {\n l20\n } * placeholder[Long](27) + if (l21 < placeholder[Long](28)) { l21 + placeholder[Long](29) } else { l21 } * placeholder[Long](30) + if (l22 < placeholder[\n Long\n ](31)) { l22 + placeholder[Long](32) } else { l22 }\n val l24 = coll12(placeholder[Int](33)).toLong\n val l25 = coll12(placeholder[Int](34)).toLong\n val l26 = coll12(placeholder[Int](35)).toLong\n val l27 = coll12(placeholder[Int](36)).toLong * placeholder[Long](37) + if (l24 < placeholder[Long](38)) { l24 + placeholder[Long](39) } else {\n l24\n } * placeholder[Long](40) + if (l25 < placeholder[Long](41)) { l25 + placeholder[Long](42) } else { l25 } * placeholder[Long](43) + if (l26 < placeholder[\n Long\n ](44)) { l26 + placeholder[Long](45) } else { l26 }\n val bool28 = l11 >= l27 + coll10(placeholder[Int](46))\n val l29 = coll12(placeholder[Int](47)).toLong\n val l30 = if (l29 < placeholder[Long](48)) { l29 + placeholder[Long](49) } else { l29 }\n val l31 = if (bool28) { placeholder[Long](50) } else { l30 }\n val coll32 = Coll[Int](\n placeholder[Int](51), placeholder[Int](52), placeholder[Int](53), placeholder[Int](54), placeholder[Int](55), placeholder[Int](56), placeholder[Int](\n 57\n ), placeholder[Int](58), placeholder[Int](59), placeholder[Int](60), placeholder[Int](61)\n )\n val coll33 = coll32.map({(i33: Int) =>\n val i35 = i33 * placeholder[Int](62)\n val l36 = coll12(i35 + placeholder[Int](63)).toLong\n coll12(i35).toLong * placeholder[Long](64) + if (l36 < placeholder[Long](65)) { l36 + placeholder[Long](66) } else { l36 }\n })\n val l34 = coll33(placeholder[Int](67))\n val l35 = coll33(placeholder[Int](68))\n val coll36 = Coll[Int](\n placeholder[Int](69), placeholder[Int](70), placeholder[Int](71), placeholder[Int](72), placeholder[Int](73), placeholder[Int](74), placeholder[Int](\n 75\n ), placeholder[Int](76)\n )\n val coll37 = box8.R6[Coll[Coll[Long]]].get(i9 - placeholder[Int](77))\n val l38 = coll37(placeholder[Int](78))\n val coll39 = coll32.map({(i39: Int) =>\n val i41 = i39 * placeholder[Int](79)\n val l42 = coll5(i41 + placeholder[Int](80)).toLong\n coll5(i41).toLong * placeholder[Long](81) + if (l42 < placeholder[Long](82)) { l42 + placeholder[Long](83) } else { l42 }\n })\n val l40 = coll10(placeholder[Int](84))\n val l41 = coll37(placeholder[Int](85))\n val l42 = coll37(placeholder[Int](86))\n val l43 = l34 + coll37(placeholder[Int](87))\n val l44 = l35 + coll37(placeholder[Int](88))\n val l45 = coll5(placeholder[Int](89)).toLong\n val l46 = coll5(placeholder[Int](90)).toLong\n val l47 = coll5(placeholder[Int](91)).toLong\n val l48 = coll5(placeholder[Int](92)).toLong\n val l49 = coll12(placeholder[Int](93)).toLong\n val l50 = coll5(placeholder[Int](94)).toLong\n val l51 = coll5(placeholder[Int](95)).toLong\n val l52 = coll5(placeholder[Int](96)).toLong\n val l53 = coll5(placeholder[Int](97)).toLong * placeholder[Long](98) + if (l50 < placeholder[Long](99)) { l50 + placeholder[Long](100) } else {\n l50\n } * placeholder[Long](101) + if (l51 < placeholder[Long](102)) { l51 + placeholder[Long](103) } else { l51 } * placeholder[Long](104) + if (l52 < placeholder[\n Long\n ](105)) { l52 + placeholder[Long](106) } else { l52 }\n val l54 = coll5(placeholder[Int](107)).toLong\n val l55 = coll5(placeholder[Int](108)).toLong\n val l56 = coll5(placeholder[Int](109)).toLong\n val l57 = coll5(placeholder[Int](110)).toLong\n val l58 = coll5(placeholder[Int](111)).toLong\n prop1 && sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((box2.propositionBytes == SELF.propositionBytes) && (box2.value >= SELF.value)) && (\n box2.R5[AvlTree].get.digest == if (bool3) {\n avlTree6.insert(Coll[(Coll[Byte], Coll[Byte])]((coll4, coll5)), coll7).get\n } else { avlTree6.update(Coll[(Coll[Byte], Coll[Byte])]((coll4, coll5)), coll7).get }.digest\n )\n ) && box8.tokens.exists({(tuple59: (Coll[Byte], Long)) => tuple59._1 == getVar[Coll[Byte]](6.toByte).get })\n ) && ((i9 >= placeholder[Int](112)) && (i9.toLong <= coll10(placeholder[Int](113))))\n ) && (l11 >= l16)\n ) && if (bool19) { placeholder[Boolean](114) } else { l11 >= l23 + coll10(placeholder[Int](115)) }\n ) && if (bool19) { placeholder[Boolean](116) } else { l31 < coll10(placeholder[Int](117)) }\n ) && if (bool3) {\n (\n (\n (\n (\n (\n ((l34 == placeholder[Long](118)) && (l35 == placeholder[Long](119))) && coll36.forall(\n {(i59: Int) => coll33(i59) == placeholder[Long](120) }\n )\n ) && (l23 == placeholder[Long](121))\n ) && (l30 == placeholder[Long](122))\n ) && (l18 == placeholder[Long](123))\n ) && (l27 == placeholder[Long](124))\n ) && (l16 == placeholder[Long](125))\n } else { placeholder[Boolean](126) }\n ) && if (l38 == placeholder[Long](127)) {\n Coll[Int](\n placeholder[Int](128), placeholder[Int](129), placeholder[Int](130), placeholder[Int](131), placeholder[Int](\n 132\n ), placeholder[Int](133), placeholder[Int](134), placeholder[Int](135)\n ).forall({(i59: Int) => coll33(i59) == coll39(i59) })\n } else {(\n val l59 = coll33(l38.toInt)\n val l60 = l40 - l59\n val l61 = if (l60 <= placeholder[Long](136)) { placeholder[Long](137) } else { l41 * l60 / l40 }\n val l62 = coll33(l42.toInt)\n val l63 = l40 - l62\n val l64 = if (l63 <= placeholder[Long](138)) { placeholder[Long](139) } else {\n l41 * placeholder[Long](140) / placeholder[Long](141) * l63 / l40\n }\n Coll[Int](\n placeholder[Int](142), placeholder[Int](143), placeholder[Int](144), placeholder[Int](145), placeholder[Int](\n 146\n ), placeholder[Int](147), placeholder[Int](148), placeholder[Int](149)\n ).forall({(i65: Int) =>\n val l67 = i65.toLong\n if (l67 == l38) { coll39(i65) == l59 + if (l61 > l60) { l60 } else { if (l61 < placeholder[Long](150)) { placeholder[Long](151) } else { l61 } } } else { if (l67 == l42) { coll39(i65) == l62 + if (l64 > l63) { l63 } else { if (l64 < placeholder[Long](152)) { placeholder[Long](153) } else { l64 } } } else { coll33(i65) == coll39(i65) } }\n })\n )}\n ) && coll36.forall({(i59: Int) => coll39(i59) <= l40 })\n ) && (\n coll36.fold(placeholder[Long](154), {(tuple59: (Long, Int)) => tuple59._1 + coll39(tuple59._2) }) <= coll10(placeholder[Int](155))\n )\n ) && (coll39(placeholder[Int](156)) == if (l43 < placeholder[Long](157)) { placeholder[Long](158) } else { l43 })\n ) && (\n coll39(placeholder[Int](159)) == if (l44 < placeholder[Long](160)) { placeholder[Long](161) } else {\n if (l44 > placeholder[Long](162)) { placeholder[Long](163) } else { l44 }\n }\n )\n ) && if (bool3) { placeholder[Boolean](164) } else { coll39(placeholder[Int](165)) == coll33(placeholder[Int](166)) }\n ) && if (bool3) { placeholder[Boolean](167) } else {\n coll5(placeholder[Int](168)).toLong * placeholder[Long](169) + if (l45 < placeholder[Long](170)) { l45 + placeholder[Long](171) } else {\n l45\n } * placeholder[Long](172) + if (l46 < placeholder[Long](173)) { l46 + placeholder[Long](174) } else { l46 } * placeholder[Long](\n 175\n ) + if (l47 < placeholder[Long](176)) { l47 + placeholder[Long](177) } else { l47 } == l16\n }\n ) && if (bool3) { placeholder[Boolean](178) } else {\n if (l48 < placeholder[Long](179)) { l48 + placeholder[Long](180) } else { l48 } == if (l49 < placeholder[Long](181)) {\n l49 + placeholder[Long](182)\n } else { l49 }\n }\n ) && if (bool19) { l53 == l23 } else { l53 == l11 }\n ) && (\n if (l54 < placeholder[Long](183)) { l54 + placeholder[Long](184) } else { l54 } == if (bool19) { l30 } else {\n if (bool28) { placeholder[Long](185) } else { l31 + placeholder[Long](186) }\n }\n )\n ) && (if (l55 < placeholder[Long](187)) { l55 + placeholder[Long](188) } else { l55 } == if (bool19) { l18 - placeholder[Long](189) } else { l18 })\n ) && (\n coll5(placeholder[Int](190)).toLong * placeholder[Long](191) + if (l56 < placeholder[Long](192)) { l56 + placeholder[Long](193) } else {\n l56\n } * placeholder[Long](194) + if (l57 < placeholder[Long](195)) { l57 + placeholder[Long](196) } else { l57 } * placeholder[Long](\n 197\n ) + if (l58 < placeholder[Long](198)) { l58 + placeholder[Long](199) } else { l58 } == if (bool19) { l27 } else { if (bool28) { l11 } else { l27 } }\n )\n ) && (box2.R4[SigmaProp].get == prop1)\n ) && (OUTPUTS(placeholder[Int](200)).value >= coll10(placeholder[Int](201)))\n )\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"sigmaType": "SSigmaProp",
"renderedValue": "02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a"
},
"R5": {
"serializedValue": "644ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
"sigmaType": null,
"renderedValue": null
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "b9f583473618311c260abc100d5010ff70c229ae5e0bc0591e41666314864bcc",
"transactionId": "a2a8946a378d3b012ce100cb517e83eb83bad5f0feb95838918117fe9f1d4c57",
"blockId": "cc84ddb0dcb72dd88949c71cf72ec734a01ab7ec6939832844080eb8379f11e8",
"value": 1000000,
"index": 1,
"globalIndex": 53830032,
"creationHeight": 1730603,
"settlementHeight": 1730604,
"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": "dbfcdbd3b4ba637aed0ccc407f2974073f809f5b7b5dc602fc6c5c15ad136caa",
"mainChain": true
},
{
"boxId": "de071c95fac4a564e7712b7b0772d5f46cc135590285eaa3f535c9fe2f466223",
"transactionId": "a2a8946a378d3b012ce100cb517e83eb83bad5f0feb95838918117fe9f1d4c57",
"blockId": "cc84ddb0dcb72dd88949c71cf72ec734a01ab7ec6939832844080eb8379f11e8",
"value": 1271691837,
"index": 2,
"globalIndex": 53830033,
"creationHeight": 1730603,
"settlementHeight": 1730604,
"ergoTree": "0008cd02afe418c057a023b10079d17237eabb8abf0b6c139f287eee1aee4e30fac51a6a",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(afe418,bb3ad0,...)))}",
"address": "9frXR12ZVMBVLt2i74SsYYGToDooP9TUqwTabhTzGKLAYonS31h",
"assets": [
{
"tokenId": "e1d7fcb9c033970d8485c200efc9febbb17244639c17c57a4c14b76bbd559183",
"index": 0,
"amount": 1,
"name": "USD Pool ballot token",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "4fccd0c4cde392e31bb718d602cb06216b6738c8021ad80422450c2a2cf1c65a",
"mainChain": true
}
],
"size": 2624,
"isUnconfirmed": false
}