Transaction
ID: a7fc736e0c...55df
Inputs (8)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.9068 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
6.79 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.015 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001106972 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
1.94 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1.94 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1.94 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1.94 ERG
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
14.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.46 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 409,934
Total coins transferred: 15.47 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000606 ERG
Raw Transaction Data
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"ergoTree": "0008cd02e43a9fa53e78eef987d2cabbcfa76894929dce7c494421412c69c3b4ac83b02f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e43a9f,15fd7b,...)))}",
"address": "9gFaKRc9c6xDMJ4AZzJQxWenDGsrRCgggcvzvL5o33d7o78XMok",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "4817a29f693b7b4caf6376e96425bf9def19964c7495572f16ef1be0860b40dd",
"value": 1940000000,
"index": 6,
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"outputBlockId": "d7e90ec72d80a7f390fd0e2f295408f94cdfdf48726fde2b53545a21a7490431",
"outputTransactionId": "19e3e6c9b387a507d373b6c2bb67d1ec33d8d0a2a552e6a281bdeafb5447611f",
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"outputGlobalIndex": 43003872,
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"outputSettledAt": 1364726,
"ergoTree": "0008cd02e43a9fa53e78eef987d2cabbcfa76894929dce7c494421412c69c3b4ac83b02f",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e43a9f,15fd7b,...)))}",
"address": "9gFaKRc9c6xDMJ4AZzJQxWenDGsrRCgggcvzvL5o33d7o78XMok",
"assets": [],
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},
{
"boxId": "99fd92fb1d92b119b9e592a4d83f3b20d200103e35053451d7166120467a1d91",
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"outputTransactionId": "2beebfca190ede2019f4df306ca6fcd70bf794ca667fd46c5f85d4ae66e30865",
"outputIndex": 0,
"outputGlobalIndex": 43003947,
"outputCreatedAt": 1364726,
"outputSettledAt": 1364728,
"ergoTree": "0008cd02e43a9fa53e78eef987d2cabbcfa76894929dce7c494421412c69c3b4ac83b02f",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e43a9f,15fd7b,...)))}",
"address": "9gFaKRc9c6xDMJ4AZzJQxWenDGsrRCgggcvzvL5o33d7o78XMok",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "a7fc736e0c3aba8ab338b029e1912bc1332a2eb950fb0c4c7a9ec7c364fa55df",
"blockId": "fab1db7fe3598e16a8b662119dbe665f894fb594bb75758582026c67ed4bc83c",
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"index": 0,
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"ergoTree": "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",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(e43a9f,15fd7b,...)))\n1: 0\n2: 14000000000\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 0\n10: 0\n11: 0\n12: Coll(6,-62,-127,-31,-84,121,9,65,-61,-10,-57,-118,-31,12,37,-80,-14,-59,93,108,-4,-59,7,12,-52,-36,37,26,-24,-36,88,10)\n13: 2\n14: 1\n15: 6000000\n16: 14000000000\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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{
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}
],
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"mainChain": true
},
{
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"ergoTree": "0008cd02e43a9fa53e78eef987d2cabbcfa76894929dce7c494421412c69c3b4ac83b02f",
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