Transaction
ID: be233dd097...9aa4
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
1.65 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.64 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 367,615
Total coins transferred: 1.65 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000308 ERG
Raw Transaction Data
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"ergoTreeScript": "{\n val coll1 = INPUTS(placeholder[Int](0)).tokens\n val prop2 = SELF.R4[SigmaProp].get\n val func3 = {(l3: Long) =>\n OUTPUTS.map({(box5: Box) => if (blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](1)) { box5.value } else { placeholder[Long](2) } }).fold(\n placeholder[Long](3), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }\n ) == l3\n }\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R9[Long].get\n if (((coll1.size > placeholder[Int](4)) && (coll1(placeholder[Int](5))._1 == SELF.R5[Coll[Byte]].get)) && (\n coll1(placeholder[Int](6))._1 == SELF.R6[Coll[Byte]].get\n )) {(\n val l6 = coll1(placeholder[Int](7))._2\n val coll7 = OUTPUTS(placeholder[Int](8)).tokens\n val tuple8 = coll7(placeholder[Int](9))\n val l9 = tuple8._2\n val l10 = l6 - l9\n if (l10 > placeholder[Long](10)) {(\n val box11 = OUTPUTS(placeholder[Int](11))\n val i12 = OUTPUTS.size\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](box11.value == SELF.R7[Long].get, box11.propositionBytes == prop2.propBytes, box11.tokens(placeholder[Int](12)) == (tuple8._1, l10))\n ), func3(l4), allOf(Coll[Boolean](l5 >= placeholder[Long](13), OUTPUTS(i12 - placeholder[Int](14)).value == l5)), i12 == placeholder[Int](15)\n )\n )\n )\n )} else {(\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](16)\n sigmaProp(allOf(Coll[Boolean](l9 - l6 == SELF.tokens(placeholder[Int](17))._2, if (bool12 || (i11 == placeholder[Int](18))) {(\n val box13 = OUTPUTS(placeholder[Int](19))\n allOf(Coll[Boolean](coll1(placeholder[Int](20))._2 - coll7(placeholder[Int](21))._2 == if (bool12) { OUTPUTS(placeholder[Int](22)).tokens(placeholder[Int](23))._2 } else { placeholder[Long](24) } + box13.tokens(placeholder[Int](25))._2, box13.propositionBytes == prop2.propBytes))\n )} else { placeholder[Boolean](26) }, func3(l4), allOf(Coll[Boolean](l5 >= placeholder[Long](27), OUTPUTS(i11 - placeholder[Int](28)).value == l5)))))\n )}\n )} else {(\n val coll6 = prop2.propBytes\n val coll7 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == coll6) { box8.value } else { placeholder[Long](29) } }).fold(\n placeholder[Long](30), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }\n ) >= SELF.value, if (coll7.size > placeholder[Int](31)) {\n OUTPUTS.exists({(box8: Box) => (box8.tokens == coll7) && (box8.propositionBytes == coll6) })\n } else { placeholder[Boolean](32) }\n )\n )\n ) && prop2\n )}\n}",
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"assets": [
{
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"index": 0,
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"name": "hodlCOMET10",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0a9a8f5e7226222af86769e0a6a0455e53b9295f600a3e8a6107bca1d6aaf35d"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "2e59555f055c1341e64d51267a381f6dbbe572cb725cfc471b35e84bbc258b75"
},
"R8": {
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"sigmaType": "SLong",
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},
"R7": {
"serializedValue": "0580897a",
"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R9": {
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"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R4": {
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"sigmaType": "SSigmaProp",
"renderedValue": "02031e26ee17e6dce883b06d6ef3c0a48faf0d4c6f092fe84f7b20fbed1ad3252f"
}
},
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"mainChain": true
},
{
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"index": 1,
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"creationHeight": 1392408,
"settlementHeight": 1392411,
"ergoTree": "0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))}",
"address": "9h6Ao31CVSsYisf4pWTM43jv6k3BaXV3jovGfaRj9PrqfYms6Rf",
"assets": [],
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"mainChain": true
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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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"mainChain": true
},
{
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"ergoTree": "0008cd02031e26ee17e6dce883b06d6ef3c0a48faf0d4c6f092fe84f7b20fbed1ad3252f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(31e26e,49345a,...)))}",
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