Transaction
ID: dc6dfc2d83...a790
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.757910859 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.023136998 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
740
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
51,700
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0004 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.321564195 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.461083662 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 671,232
Total coins transferred: 0.785047857 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000772 ERG
Raw Transaction Data
{
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"inclusionHeight": 1095233,
"timestamp": 1695223370572,
"index": 1,
"globalIndex": 5858603,
"numConfirmations": 671232,
"inputs": [
{
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"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f8487,c8c4dd,...)))}",
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],
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{
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"outputBlockId": "417be3f86b2c8a30d2dae4503dc9dc6adf29f0e8c78b71708d2b56c482121164",
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"ergoTree": "0008cd024f848739a23ed1b27406eb90d989227efb4851887d8e9d811ad5db59920734d6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f8487,c8c4dd,...)))}",
"address": "9f85gqWXrxBJisgoCV74gSVUfdjYxEQFNnjXro9yvpX2PnRsYeA",
"assets": [
{
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{
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{
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],
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{
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"ergoTree": "0008cd024f848739a23ed1b27406eb90d989227efb4851887d8e9d811ad5db59920734d6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f8487,c8c4dd,...)))}",
"address": "9f85gqWXrxBJisgoCV74gSVUfdjYxEQFNnjXro9yvpX2PnRsYeA",
"assets": [
{
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"index": 0,
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"name": "CYPX",
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}
],
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{
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"ergoTree": "0008cd024f848739a23ed1b27406eb90d989227efb4851887d8e9d811ad5db59920734d6",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f8487,c8c4dd,...)))}",
"address": "9f85gqWXrxBJisgoCV74gSVUfdjYxEQFNnjXro9yvpX2PnRsYeA",
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"name": "CYPX",
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}
],
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}
],
"dataInputs": [],
"outputs": [
{
"boxId": "658193d32c46e15cff8b5fb52c798d796775499733c04b0dd1d9ad0e76f4543e",
"transactionId": "dc6dfc2d83eedff9da7a5b72dd31c32be179c58e0cf8d3a1f9400176da14a790",
"blockId": "25a5bb9ad64eb88c88f66722d4696c7ad8c8c363a8048f8edfc09e90e69fd5e7",
"value": 400000,
"index": 0,
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"creationHeight": 1095231,
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"ergoTreeConstants": "0: 0\n1: 270000000\n2: 997\n3: SigmaProp(ProveDlog(ECPoint(4f8487,c8c4dd,...)))\n4: 2\n5: 3\n6: 1\n7: 158991\n8: 10000000000000000\n9: 105052167636\n10: 0\n11: Coll(127,23,89,48,11,25,40,122,-37,-68,-48,60,-121,126,-82,108,109,-26,15,76,41,98,-79,-4,90,-30,-58,-30,-90,-124,34,12)\n12: Coll(0,8,-51,2,79,-124,-121,57,-94,62,-47,-78,116,6,-21,-112,-39,-119,34,126,-5,72,81,-120,125,-114,-99,-127,26,-43,-37,89,-110,7,52,-42)\n13: 12612114817\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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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(92ec73,31e79c,...)))}",
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}