Transaction
ID: 82420e456c...421c
Inputs (20)
Spent
Address:
Output transaction:
Settlement height:
Value:
280.34 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.214963728 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.045880894 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.373193414 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00995813 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.45559 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.05829 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.416495099 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.552156472 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002211245 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.202066116 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.133373467 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.277230612 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.090656074 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.55629 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.012622069 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.048386956 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.25459 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.053706536 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
10 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
274.1 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 137,833
Total coins transferred: 284.1 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000024 ERG
Raw Transaction Data
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"address": "9fRw3bMzSNBuZNmBJd3VAJGf7XQmFfeiebJ989LvTNdxmcz3vEd",
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{
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"address": "9fRw3bMzSNBuZNmBJd3VAJGf7XQmFfeiebJ989LvTNdxmcz3vEd",
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{
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(780cf1,a4b575,...)))}",
"address": "9fRw3bMzSNBuZNmBJd3VAJGf7XQmFfeiebJ989LvTNdxmcz3vEd",
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}
],
"dataInputs": [],
"outputs": [
{
"boxId": "bef9e744ee63c85cdc6e487fcbc079da70f05a10c5408ca6f71fb074b9a29aec",
"transactionId": "82420e456ca0b880eaa174a16fd96aeb4b4680caa8c8453414602449e414421c",
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"ergoTree": "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",
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"ergoTreeScript": "{\n val coll1 = placeholder[SigmaProp](0).propBytes\n val coll2 = SELF.propositionBytes\n val coll3 = OUTPUTS.filter({(box3: Box) => box3.propositionBytes == coll1 })\n val coll4 = OUTPUTS.filter({(box4: Box) => box4.propositionBytes == placeholder[SigmaProp](1).propBytes })\n val coll5 = placeholder[Coll[Byte]](2)\n sigmaProp(\n INPUTS.exists({(box6: Box) => box6.propositionBytes == coll1 }) || (\n (\n (\n (\n (\n (\n INPUTS.filter({(box6: Box) => box6.propositionBytes != coll2 }).forall(\n {(box6: Box) => HEIGHT - box6.creationInfo._1 > placeholder[Int](3) }\n ) && (OUTPUTS.size == placeholder[Int](4))\n ) && (coll3.size == placeholder[Int](5))\n ) && (coll4.size == placeholder[Int](6))\n ) && (OUTPUTS.filter({(box6: Box) => box6.propositionBytes == placeholder[Coll[Byte]](7) }).size == placeholder[Int](8))\n ) && (OUTPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).size == placeholder[Int](9))\n ) && \n val coll6 = coll3(placeholder[Int](10)).tokens.filter({(tuple6: (Coll[Byte], Long)) => tuple6._1 == coll5 })\n val box7 = coll4(placeholder[Int](11))\n val coll8 = box7.tokens.filter({(tuple8: (Coll[Byte], Long)) => tuple8._1 == coll5 })\n if ((coll6.size == placeholder[Int](12)) && (coll8.size == placeholder[Int](13))) {(\n val l9 = coll6(placeholder[Int](14))._2\n val l10 = INPUTS.flatMap({(box10: Box) => box10.tokens }).filter({(tuple10: (Coll[Byte], Long)) => tuple10._1 == coll5 }).map(\n {(tuple10: (Coll[Byte], Long)) => tuple10._2 }\n ).fold(placeholder[Long](15), {(tuple10: (Long, Long)) => tuple10._1 + tuple10._2 })\n ((l9 >= l10 / placeholder[Long](16)) && (l9 + coll8(placeholder[Int](17))._2 == l10)) && (box7.value <= placeholder[Long](18))\n )} else { placeholder[Boolean](19) }\n \n )\n )\n}",
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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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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(780cf1,a4b575,...)))}",
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