Transaction
ID: 013130da64...0fb9
Inputs (18)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
17.70
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
48.65
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
962.9 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.5 ERG
Tokens:
81.66
Spent
Address:
Spent in transaction:
Settlement height:
Value:
960.4 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 588,712
Total coins transferred: 962.9 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000493 ERG
Raw Transaction Data
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],
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],
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{
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"transactionId": "013130da64f9d00262e81b168c16e6a7465122840cc13538f95bdc8eb61b0fb9",
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(a5108e,be6d92,...)))\n1: 0\n2: 2495808009\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 0\n10: 0\n11: 0\n12: Coll(-12,10,-5,111,-121,124,64,-93,12,-122,55,-35,83,98,34,114,-123,115,-127,116,21,28,-26,109,102,-124,-68,27,114,122,-74,-49)\n13: 2\n14: 1\n15: 6000000\n16: 2495808009\n17: 6000000\n18: false\n19: 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)\n20: 0\n21: 0\n22: 2000000\n23: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val l3 = placeholder[Long](2)\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](5))\n val tuple6 = coll4(placeholder[Int](6))\n val bi7 = placeholder[Long](7) - tuple6._2.toBigInt\n val bi8 = box2.value.toBigInt\n val bi9 = l3.toBigInt * bi7 / bi8\n val tuple10 = coll4(placeholder[Int](8))\n val bi11 = tuple10._2.toBigInt\n val bi12 = SELF.tokens(placeholder[Int](9))._2.toBigInt * bi7 / bi11\n val coll13 = box5.tokens\n val tuple14 = coll13(placeholder[Int](10))\n (((((coll4(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box5.propositionBytes == prop1.propBytes)) && if ((bi9 < bi12) && (coll13.size == placeholder[Int](13))) {(\n val tuple15 = coll13(placeholder[Int](14))\n ((box5.value >= SELF.value - placeholder[Long](15) - placeholder[Long](16)) && (tuple15._1 == tuple10._1)) && (tuple15._2.toBigInt >= bi12 - bi9 * bi11 / bi7)\n )} else { if (bi9 >= bi12) { box5.value.toBigInt >= SELF.value - placeholder[Long](17).toBigInt - l3.toBigInt - bi9 - bi12 * bi8 / bi7 } else { placeholder[Boolean](18) } }) && (tuple14._1 == tuple6._1)) && (tuple14._2.toBigInt >= min(bi9, bi12))) && (OUTPUTS.map({(box15: Box) => if (box15.propositionBytes == placeholder[Coll[Byte]](19)) { box15.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) })\n}",
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"assets": [
{
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"index": 0,
"amount": 81658319,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "05a4f85fab7c9d86b08a215fefc76e100b9f582e3cd1ef91ee609d94ed219db0",
"mainChain": true
},
{
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"value": 960399808201,
"index": 1,
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"creationHeight": 1179778,
"settlementHeight": 1179780,
"ergoTree": "0008cd02a5108e09f3a09c0f2899682ed68746fc2ddf278aac45218fbafeae21e7fe0858",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a5108e,be6d92,...)))}",
"address": "9fmksSKWcRfHPeEK2Py37UytQPEknUXuwAEuEkvBxYY8EPKcKoH",
"assets": [
{
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},
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{
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}
],
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},
{
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"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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"mainChain": true
}
],
"size": 4058,
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}