Transaction
ID: d24f1f7a14...ffcb
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.397196179 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00606 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.389136179 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 489,010
Total coins transferred: 0.397196179 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001197 ERG
Raw Transaction Data
{
"id": "d24f1f7a143b92af41deea2b97d1d28f09b7ab2a257ba04d246be9221c51ffcb",
"blockId": "1fd4527b25602f57e58f70fa474f336d09da76b335264498c76c98da353d47ba",
"inclusionHeight": 1284651,
"timestamp": 1718154368177,
"index": 1,
"globalIndex": 7338728,
"numConfirmations": 489010,
"inputs": [
{
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"index": 0,
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"outputBlockId": "3c236d480fecdc8d53f608f37db855d65953b49f16b2035b8447bb01583306c0",
"outputTransactionId": "9785afc26d723c352dad5bf6b6a99dd43424cf60164ce7c009e9b307d13f52c1",
"outputIndex": 1,
"outputGlobalIndex": 40744760,
"outputCreatedAt": 1284647,
"outputSettledAt": 1284649,
"ergoTree": "0008cd034300cef2af0ce7956f3167b45703709e6ca29f72d853ba5a99d305ec9ffd7c52",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4300ce,2fd76e,...)))}",
"address": "9gyKCPYkaBJp7z8NxxCygjwB6u9GLudiakUEUPpZ1bjhbJUip8z",
"assets": [
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"decimals": 0,
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}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "0345763ecc81b6793de91237ca29d54b8e66d597448052c64a504b25152677e6",
"transactionId": "d24f1f7a143b92af41deea2b97d1d28f09b7ab2a257ba04d246be9221c51ffcb",
"blockId": "1fd4527b25602f57e58f70fa474f336d09da76b335264498c76c98da353d47ba",
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(4300ce,2fd76e,...)))\n1: 0\n2: 2\n3: 4\n4: 1\n5: 1\n6: 9223372036854775807\n7: 2\n8: 0\n9: 3\n10: 1\n11: 0\n12: 0\n13: Coll(8,97,23,-75,-105,-35,-113,-63,52,113,-60,-5,-11,-71,43,-114,-67,-36,-24,9,-116,-100,-77,7,-14,-36,93,115,-7,46,16,15)\n14: 1\n15: 6000000\n16: 2\n17: 1\n18: 2\n19: 1\n20: true\n21: false\n22: Coll(16,5,4,0,4,0,14,54,16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n23: 0\n24: 0\n25: 2000000\n26: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = SELF.tokens\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](4))\n val tuple6 = coll4(placeholder[Int](5))\n val bi7 = placeholder[Long](6) - tuple6._2.toBigInt\n val tuple8 = coll4(placeholder[Int](7))\n val bi9 = tuple8._2.toBigInt\n val bi10 = coll3(placeholder[Int](8))._2.toBigInt * bi7 / bi9\n val tuple11 = coll4(placeholder[Int](9))\n val bi12 = tuple11._2.toBigInt\n val bi13 = coll3(placeholder[Int](10))._2.toBigInt * bi7 / bi12\n val coll14 = box5.tokens\n val tuple15 = coll14(placeholder[Int](11))\n ((((((coll4(placeholder[Int](12)) == (placeholder[Coll[Byte]](13), placeholder[Long](14))) && (box5.propositionBytes == prop1.propBytes)) && (box5.value >= SELF.value - placeholder[Long](15))) && if ((bi10 < bi13) && (coll14.size == placeholder[Int](16))) {(\n val tuple16 = coll14(placeholder[Int](17))\n (tuple16._1 == tuple11._1) && (tuple16._2.toBigInt >= bi13 - bi10 * bi12 / bi7)\n )} else { if ((bi10 > bi13) && (coll14.size == placeholder[Int](18))) {(\n val tuple16 = coll14(placeholder[Int](19))\n (tuple16._1 == tuple8._1) && (tuple16._2.toBigInt >= bi10 - bi13 * bi9 / bi7)\n )} else { if (bi10 == bi13) { placeholder[Boolean](20) } else { placeholder[Boolean](21) } } }) && (tuple15._1 == tuple6._1)) && (tuple15._2.toBigInt >= min(bi10, bi13))) && (OUTPUTS.map({(box16: Box) => if (box16.propositionBytes == placeholder[Coll[Byte]](22)) { box16.value } else { placeholder[Long](23) } }).fold(placeholder[Long](24), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) <= placeholder[Long](25))\n )} else { placeholder[Boolean](26) })\n}",
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{
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},
{
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}
],
"additionalRegisters": {},
"spentTransactionId": "cdce317bec0a6e0aa1709f74a9339a203e819a6d6666a7dcb6b9c3edd15e893a",
"mainChain": true
},
{
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"transactionId": "d24f1f7a143b92af41deea2b97d1d28f09b7ab2a257ba04d246be9221c51ffcb",
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"index": 1,
"globalIndex": 40744807,
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"ergoTree": "0008cd034300cef2af0ce7956f3167b45703709e6ca29f72d853ba5a99d305ec9ffd7c52",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4300ce,2fd76e,...)))}",
"address": "9gyKCPYkaBJp7z8NxxCygjwB6u9GLudiakUEUPpZ1bjhbJUip8z",
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},
{
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},
{
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},
{
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},
{
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},
{
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},
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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"name": "a6125341_GreasyCex_LP",
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},
{
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{
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{
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}
],
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},
{
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}
],
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}