Transaction
ID: a1750bd74e...555a
Inputs (12)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0101 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00101 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00006624 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001139816 ERG
Tokens:
1
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
6,969.69
Spent
Address:
Output transaction:
Settlement height:
Value:
28.46 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.107142857 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
23.36 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 358,078
Total coins transferred: 28.48 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000359 ERG
Raw Transaction Data
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},
{
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"name": " [CyberVerse] Smiling Face with Smiling Eyes emote",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "a1750bd74e2d85bb8919edd6aff19bd09f45d9f7a3bdebb77ef3d3393e35555a",
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))\n1: 0\n2: 5000000000\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: Coll(90,125,-89,110,26,84,28,37,-12,28,124,94,-121,-91,108,-93,105,66,3,14,125,38,0,86,28,53,-128,119,72,18,-77,110)\n9: Coll(-115,107,-30,62,-93,67,76,-15,-82,73,-109,53,-95,-60,-54,-39,14,35,-8,108,-58,94,-11,-15,86,-105,-4,111,16,-27,-54,80)\n10: 2595677\n11: 2311535680286877\n12: 1000000000000000\n13: 2\n14: 990\n15: CBigInt(1)\n16: 1000\n17: 5000000000\n18: 990\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 = box5.tokens(placeholder[Int](6))\n val bi7 = tuple6._2.toBigInt\n ((((((coll4(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)) && (box5.propositionBytes == prop1.propBytes)) && (tuple6._1 == placeholder[Coll[Byte]](9))) && (bi7 >= placeholder[Long](10).toBigInt)) && (box5.value.toBigInt >= SELF.value.toBigInt - bi7 * placeholder[Long](11).toBigInt / placeholder[Long](12).toBigInt - l3.toBigInt)) && (coll4(placeholder[Int](13))._2.toBigInt * l3.toBigInt * placeholder[Int](14).toBigInt <= bi7 + placeholder[BigInt](15) * box2.value.toBigInt * placeholder[Int](16).toBigInt + placeholder[Long](17) * placeholder[Int](18).toLong.toBigInt)) && (OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == placeholder[Coll[Byte]](19)) { box8.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }) <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) })\n}",
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"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e034d6577",
"sigmaType": "Coll[SByte]",
"renderedValue": "4d6577"
}
},
"spentTransactionId": "35f4fea41b11977deb2bb8d54649aa6d8ee8b02f3e52e410e753ebc7f4cbccd3",
"mainChain": true
},
{
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"ergoTree": "0008cd0374a05d3ef155cc47156e29b35d0bf5e1710833b7d5bcdeb639c30af5095e05f1",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(74a05d,3cf90c,...)))}",
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"mainChain": true
},
{
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"ergoTreeConstants": "",
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