Transaction
ID: da4f7f8aff...c79e
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
117.68 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
24.85 ERG
Tokens:
89.14
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
0
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
17.85 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
124.68 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 459,589
Total coins transferred: 142.53 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000744 ERG
Raw Transaction Data
{
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"inclusionHeight": 1304412,
"timestamp": 1720546923301,
"index": 3,
"globalIndex": 7455968,
"numConfirmations": 459589,
"inputs": [
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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],
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{
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"outputBlockId": "ba262f0cfbe1a8b8c061087b8b5cf7494a20b5cf95338ef0011fb694ff3af0f5",
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"ergoTree": "0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a079a0,81a75c,...)))}",
"address": "9fjjdrvFoXE7tmqYJTu3FV3oeGU2tf73P4g6smSYP2rqxfHLW8t",
"assets": [
{
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"index": 0,
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"name": "Bober",
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}
],
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{
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"outputBlockId": "2f0313343be885a25dd73ce96eeb51597235c9f4887797131866bf4ad19a5131",
"outputTransactionId": "0939ecae81f26622e22681a8bef9606115f578b571a41cd836971ad9f263927d",
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"address": "9fjjdrvFoXE7tmqYJTu3FV3oeGU2tf73P4g6smSYP2rqxfHLW8t",
"assets": [
{
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"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
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],
"dataInputs": [],
"outputs": [
{
"boxId": "a4117aabf14ce186a38ba3d0d01aaaeeb5e34225979a20794a2a634eb2684e73",
"transactionId": "da4f7f8aff8d2e67d2b5519c826ff9005778de8f5a6c7bc5454a6ec0fdb6c79e",
"blockId": "921fe10f68c71d9472dbda9c60b7e2840cc949429736776245b388a8f4b75b9f",
"value": 17850662396,
"index": 0,
"globalIndex": 41335387,
"creationHeight": 1304410,
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"ergoTreeConstants": "0: 0\n1: 17850262396\n2: SigmaProp(ProveDlog(ECPoint(a079a0,81a75c,...)))\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 89426\n10: 0\n11: 0\n12: Coll(-126,30,-101,103,-40,-128,65,-123,74,-3,0,68,31,-108,126,-86,56,31,-14,5,2,-55,-70,-53,-76,-118,-5,9,33,-97,33,-97)\n13: Coll(0,8,-51,2,-96,121,-96,-39,82,118,-58,55,-75,81,0,-53,-82,-12,29,82,95,-25,88,-38,112,-27,-2,92,58,-54,-25,-59,-31,-56,38,80)\n14: 2\n15: 1\n16: 20000\n17: false\n18: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n19: 0\n20: 0\n21: 2000000\n22: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val l2 = placeholder[Long](1)\n placeholder[SigmaProp](2) || sigmaProp(if ((INPUTS.size >= placeholder[Int](3)) && (box1.tokens.size == placeholder[Int](4))) {(\n val coll3 = box1.tokens\n val box4 = OUTPUTS(placeholder[Int](5))\n val tuple5 = coll3(placeholder[Int](6))\n val bi6 = placeholder[Long](7) - tuple5._2.toBigInt\n val bi7 = box1.value.toBigInt\n val bi8 = l2.toBigInt * bi6 / bi7\n val tuple9 = coll3(placeholder[Int](8))\n val bi10 = tuple9._2.toBigInt\n val bi11 = placeholder[Long](9).toBigInt * bi6 / bi10\n val coll12 = box4.tokens\n val tuple13 = coll12(placeholder[Int](10))\n (((((coll3(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box4.propositionBytes == placeholder[Coll[Byte]](13))) && if ((bi8 < bi11) && (coll12.size == placeholder[Int](14))) {(\n val tuple14 = coll12(placeholder[Int](15))\n ((box4.value >= SELF.value - placeholder[Long](16)) && (tuple14._1 == tuple9._1)) && (tuple14._2.toBigInt >= bi11 - bi8 * bi10 / bi6)\n )} else { if (bi8 >= bi11) { box4.value.toBigInt >= SELF.value.toBigInt - l2.toBigInt - bi8 - bi11 * bi7 / bi6 } else { placeholder[Boolean](17) } }) && (tuple13._1 == tuple5._1)) && (tuple13._2.toBigInt >= min(bi8, bi11))) && (OUTPUTS.map({(box14: Box) => if (box14.propositionBytes == placeholder[Coll[Byte]](18)) { box14.value } else { placeholder[Long](19) } }).fold(placeholder[Long](20), {(tuple14: (Long, Long)) => tuple14._1 + tuple14._2 }) <= placeholder[Long](21))\n )} else { placeholder[Boolean](22) })\n}",
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{
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}
],
"additionalRegisters": {},
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"mainChain": true
},
{
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"ergoTree": "0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a079a0,81a75c,...)))}",
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],
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{
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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"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)}",
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}
],
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}