Transaction
ID: 6df134e834...e889
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
1,924.18 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0001 ERG
Tokens:
83.33
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.406255554 ERG
Tokens:
116.66
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1,923.77 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 789,549
Total coins transferred: 1,924.18 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000713 ERG
Raw Transaction Data
{
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{
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{
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{
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],
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{
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"ergoTree": "0008cd030dd3cb3710229d4104ed0bfceea4c30b450337788b8d07501e25c7de11b4c39e",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))}",
"address": "9gZttg88EpGmgP1FZAAK94wjBF7tNxd1GTyPpybcinnDFDzgRWd",
"assets": [
{
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],
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],
"dataInputs": [],
"outputs": [
{
"boxId": "35acc0db20cb17d0d22969fc609e69b54de16bccc215b47d6a557227f927e87a",
"transactionId": "6df134e83483c34ca96b8d56b5b2d24840a83d843903354f7fa83334c263e889",
"blockId": "5226b3499aa22d77703a1adf118457ae4368e10c2944fe29830ed653ad936792",
"value": 406255554,
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"creationHeight": 979338,
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))\n1: 0\n2: 400195554\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 0\n10: 0\n11: 0\n12: Coll(-108,-25,-59,-103,61,-74,-65,66,-20,68,115,55,-97,18,25,78,-38,-74,-21,14,-123,-117,60,37,110,-3,105,-3,120,110,-9,42)\n13: 2\n14: 1\n15: 6000000\n16: 400195554\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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}
],
"additionalRegisters": {},
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"mainChain": true
},
{
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"index": 1,
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"ergoTree": "0008cd030dd3cb3710229d4104ed0bfceea4c30b450337788b8d07501e25c7de11b4c39e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(dd3cb3,6a1b49,...)))}",
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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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "b8b1ff2c5f953924d110d8f9ceed8782bb0cb3dfbe5d999cdef7bcb8d6bec632",
"mainChain": true
}
],
"size": 2804,
"isUnconfirmed": false
}