Transaction
ID: 490aa7097c...e4d5
Inputs (5)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Spent
Address:
Output transaction:
Settlement height:
Value:
27.12 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.11 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
27.22 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
74.00
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 756,163
Total coins transferred: 27.24 ERG
Fees: 0.005 ERG
Fees per byte: 0.000001906 ERG
Raw Transaction Data
{
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{
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],
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{
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],
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],
"outputs": [
{
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"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val l1 = CONTEXT.preHeader.timestamp\n val tuple2 = SELF.R5[(Long, Long)].get\n val l3 = tuple2._1\n val bool4 = l1 > l3\n val coll5 = SELF.R4[Coll[Byte]].get\n val l6 = tuple2._2\n val coll7 = SELF.tokens\n val coll8 = Coll[Byte]()\n val l9 = SELF.value\n val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n val l11 = tuple10._2\n val opt12 = SELF.R6[Coll[Long]]\n val coll13 = opt12.get\n val l14 = coll13(placeholder[Int](1))\n val coll15 = SELF.R7[Coll[Byte]].get\n val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n val box18 = OUTPUTS(placeholder[Int](5))\n val bool19 = l16 >= l14\n ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n )} else {(\n val box18 = OUTPUTS(placeholder[Int](8))\n val coll19 = box18.tokens\n val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n val coll21 = box17.R7[Coll[Long]].get\n val box22 = OUTPUTS(placeholder[Int](10))\n val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
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"assets": [
{
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"name": "Sentiment - #discoverErgo",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1685708183179,1687003583000]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[3330000000,3330000000]"
},
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd029eab0d2f7ddbe7c8ef04418453e03796014613af8df8e3852429f08502f250f9"
}
},
"spentTransactionId": "811232a4e82be7e1abe48f3e7194b60dbee45e9acff4d3c03c06ad6e31b5b160",
"mainChain": true
},
{
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"creationHeight": 1017028,
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"ergoTree": "0008cd029eab0d2f7ddbe7c8ef04418453e03796014613af8df8e3852429f08502f250f9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9eab0d,774a6d,...)))}",
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{
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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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}