Transaction
ID: b7509449ec...d577
Inputs (19)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.833107124 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
141 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
7.25 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
0
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:
0
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:
0
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:
0
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:
0
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
1
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
34.20
Spent
Address:
Spent in transaction:
Settlement height:
Value:
149.09 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 744,298
Total coins transferred: 149.09 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000483 ERG
Raw Transaction Data
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"ergoTreeConstants": "0: 0\n1: 34037295\n2: 997\n3: SigmaProp(ProveDlog(ECPoint(30d8c2,d39ab8,...)))\n4: 2\n5: 3\n6: 1\n7: 162620\n8: 1000000000000000000\n9: 73046319409756\n10: 0\n11: 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)\n12: Coll(0,8,-51,3,48,-40,-62,93,32,65,-25,-67,-8,40,-66,127,-58,-71,77,70,99,-113,-25,19,-122,-13,66,-25,-86,86,-24,13,3,-54,-44,-46)\n13: 1855220100\n14: CBigInt(0)\n15: 0\n16: Coll(-102,6,-39,-27,69,-92,31,-43,30,-17,-4,94,32,-40,24,7,59,-8,32,-58,53,-30,-87,-39,34,38,-103,19,-32,-34,54,-99)\n17: true\n18: 1\n19: 2\n20: 1000\n21: 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)\n22: 0\n23: 0\n24: 2000000\n25: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val l2 = placeholder[Long](1) * placeholder[Int](2).toLong\n placeholder[SigmaProp](3) || sigmaProp(if ((INPUTS.size >= placeholder[Int](4)) && (box1.tokens.size == placeholder[Int](5))) {(\n val coll3 = box1.tokens\n val box4 = OUTPUTS(placeholder[Int](6))\n val l5 = box4.value - SELF.value\n val bi6 = placeholder[Long](7).toBigInt - l5.toBigInt * placeholder[Long](8).toBigInt / placeholder[Long](9).toBigInt\n (((((coll3(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11)) && (box4.propositionBytes == placeholder[Coll[Byte]](12))) && (l5 >= placeholder[Long](13))) && if (bi6 > placeholder[BigInt](14)) {(\n val tuple7 = box4.tokens(placeholder[Int](15))\n (tuple7._1 == placeholder[Coll[Byte]](16)) && (tuple7._2.toBigInt >= bi6)\n )} else { placeholder[Boolean](17) }) && (box1.value.toBigInt * l2.toBigInt <= l5 + placeholder[Long](18).toBigInt * coll3(placeholder[Int](19))._2.toBigInt * placeholder[Int](20).toBigInt + l2.toBigInt)) && (OUTPUTS.map({(box7: Box) => if (box7.propositionBytes == placeholder[Coll[Byte]](21)) { box7.value } else { placeholder[Long](22) } }).fold(placeholder[Long](23), {(tuple7: (Long, Long)) => tuple7._1 + tuple7._2 }) <= placeholder[Long](24))\n )} else { placeholder[Boolean](25) })\n}",
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"assets": [
{
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"index": 0,
"amount": 34199915,
"name": "SPF",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "1534d536f8b8e56448e0ad96f9d7bc11c3bd6c33e92a56a97ac9599679545c3c",
"mainChain": true
},
{
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"value": 149085456652,
"index": 1,
"globalIndex": 30072689,
"creationHeight": 1025572,
"settlementHeight": 1025574,
"ergoTree": "0008cd0330d8c25d2041e7bdf828be7fc6b94d46638fe71386f342e7aa56e80d03cad4d2",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(30d8c2,d39ab8,...)))}",
"address": "9gqKR36KAz7wPjcMXTgheKBhYc1yc2PNFB2c7yyTdfGn1QECLWk",
"assets": [
{
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},
{
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{
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],
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},
{
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"index": 2,
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"creationHeight": 1025572,
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"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(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)\n3: Coll(1)\n4: 1",
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
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