Transaction
ID: 68319fe1a7...c686
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
61.37 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
370.19 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
8.19 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
423.37 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 1,024,200
Total coins transferred: 431.56 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000356 ERG
Raw Transaction Data
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"ergoTreeScript": "{if (OUTPUTS.size == placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n val box2 = OUTPUTS(placeholder[Int](2))\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == SELF.R6[Coll[Byte]].get, (box1.value == placeholder[Long](5)) && (\n box1.tokens.size == placeholder[Int](6)\n ), (box2.value == placeholder[Long](7)) && (box2.tokens.size == placeholder[Int](8))\n )\n )\n )\n)} else {(\n val box1 = CONTEXT.dataInputs(placeholder[Int](9))\n val coll2 = box1.tokens\n val coll3 = coll2(placeholder[Int](10))._1\n val box4 = OUTPUTS(placeholder[Int](11))\n val bool5 = (box4.value == placeholder[Long](12)) && (box4.tokens.size == placeholder[Int](13))\n val box6 = OUTPUTS(placeholder[Int](14))\n val bool7 = (box6.value == placeholder[Long](15)) && (box6.tokens.size == placeholder[Int](16))\n val box8 = OUTPUTS(placeholder[Int](17))\n val bool9 = ((box8.value == SELF.value - placeholder[Long](18)) && (box8.tokens == SELF.tokens)) && (box8.propositionBytes == SELF.R5[Coll[Byte]].get)\n if (coll3 == placeholder[Coll[Byte]](19)) { sigmaProp(allOf(Coll[Boolean](box1.R4[Long].get > SELF.R4[Long].get, bool5, bool7, bool9))) } else {\n if (coll3 == SELF.R6[Coll[Byte]].get) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n if (coll2.size == placeholder[Int](20)) { placeholder[Boolean](21) } else {\n coll2(placeholder[Int](22))._2 < SELF.tokens(placeholder[Int](23))._2\n }, bool5, bool7, bool9\n )\n )\n )\n } else { sigmaProp(placeholder[Boolean](24)) }\n }\n)}}",
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{
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"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "SLong",
"renderedValue": "323717948"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd0366ac6140371a76ca76535a3256e40dab9544b1ac39009b495db7657c19d70049"
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"R6": {
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"sigmaType": "Coll[SByte]",
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}
},
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"mainChain": true
},
{
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"index": 1,
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"creationHeight": 745477,
"settlementHeight": 745479,
"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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"spentTransactionId": "afad4fcd8268ae60849ee8e320c79acb29462d59e4ed1e824bace76e5ea60a18",
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},
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"index": 2,
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"creationHeight": 745477,
"settlementHeight": 745479,
"ergoTree": "0008cd0366ac6140371a76ca76535a3256e40dab9544b1ac39009b495db7657c19d70049",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(66ac61,6e6801,...)))}",
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