Transaction
ID: eb6fb23bc1...faed
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
33.38 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:
0.055888321 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
33.32 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 477,791
Total coins transferred: 33.38 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000367 ERG
Raw Transaction Data
{
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"inclusionHeight": 1282327,
"timestamp": 1717873040660,
"index": 14,
"globalIndex": 7323857,
"numConfirmations": 477791,
"inputs": [
{
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"outputIndex": 3,
"outputGlobalIndex": 40663693,
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{
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{
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{
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "b5de69993001a42d47d4b7bf01f57928d90af82b71991baf3763cfee1937f9f0",
"transactionId": "eb6fb23bc1fd8770985ca8a916cb050a154c754be742f6e4b3711e540203faed",
"blockId": "b2f9ef1503d14d319943338d69429e7f36b6372c049ca8a8132b874c11d664fc",
"value": 4000000,
"index": 0,
"globalIndex": 40673777,
"creationHeight": 1282325,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-27,64,-52,-17,-3,59,-115,-48,-12,1,25,53,118,-52,65,52,103,3,-106,-107,-106,-108,39,-33,-108,69,65,-109,-35,-33,-77,117)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 1\n7: 1\n8: 0\n9: 1\n10: 0\n11: 1\n12: 0\n13: 1000000\n14: 1\n15: 4\n16: 5\n17: 0\n18: 4\n19: 1\n20: 2\n21: 2\n22: 2\n23: 0\n24: 0\n25: 0\n26: true\n27: 1000000\n28: 1\n29: 0\n30: 0\n31: 0\n32: true",
"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}",
"address": "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",
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