Transaction
ID: 51c16698e4...7858
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0063 ERG
Tokens:
20
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0042 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 834,694
Total coins transferred: 0.0063 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000366 ERG
Raw Transaction Data
{
"id": "51c16698e4d260f11eb3e5f1f4ebe8c142ee2230fa904ba94e6b8b44a9527858",
"blockId": "f6dcfd627bb995891645064a4dacf5a31396d09ed26cb4cbbf0bf70a03a7766b",
"inclusionHeight": 928896,
"timestamp": 1675013698882,
"index": 10,
"globalIndex": 4685024,
"numConfirmations": 834694,
"inputs": [
{
"boxId": "1254aa776a5369536e7cf8e792263b074754df11b02bd809be8963aa4597a072",
"value": 6300000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f6dcfd627bb995891645064a4dacf5a31396d09ed26cb4cbbf0bf70a03a7766b",
"outputTransactionId": "8d18ff173625688e3952d0aa37ee60702310759984b1b5967403557d7d6b73e9",
"outputIndex": 0,
"outputGlobalIndex": 26070421,
"outputCreatedAt": 928893,
"outputSettledAt": 928896,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 3\n6: 6\n7: 2100000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 1\n17: 1\n18: 0\n19: 86400000\n20: 1\n21: 0\n22: 1\n23: 3\n24: 86400000\n25: 1100000\n26: 4200000\n27: 1\n28: 2\n29: 1\n30: 3300000\n31: 2000000\n32: 1\n33: 1\n34: 0\n35: false\n36: 2\n37: 4\n38: 1\n39: 0\n40: 2\n41: 0\n42: 0\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 3\n49: 0\n50: false\n51: 1\n52: 3\n53: 1100000\n54: 1000000\n55: 1\n56: 1000000\n57: 1\n58: 1\n59: false\n60: 0\n61: 2100000\n62: 1100000\n63: 1\n64: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](3)\n val box13 = OUTPUTS(placeholder[Int](4))\n val coll14 = box13.propositionBytes\n val coll15 = prop9.propBytes\n val coll16 = box7.R8[Coll[Long]].get\n val l17 = coll16(placeholder[Int](5))\n val l18 = CONTEXT.preHeader.timestamp\n val l19 = SELF.value\n val l20 = coll16(placeholder[Int](6))\n val l21 = box13.value\n val coll22 = box7.R5[Coll[Byte]].get\n val bool23 = if (coll14 == SELF.propositionBytes) {\n (\n (((l21 >= placeholder[Long](7)) && (box13.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box13.R5[Coll[Byte]].get == coll22)) && (\n box13.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box13.R7[Box].get == box7)\n } else { placeholder[Boolean](8) }\n val coll24 = box13.tokens\n val tuple25 = coll24.getOrElse(placeholder[Int](9), tuple2)\n val coll26 = tuple25._1\n val tuple27 = coll24.getOrElse(placeholder[Int](10), tuple2)\n val coll28 = tuple27._1\n val bool29 = coll16(placeholder[Int](11)) == placeholder[Long](12)\n val l30 = tuple3._2\n val l31 = coll16(placeholder[Int](13))\n val l32 = tuple25._2\n val l33 = coll16(placeholder[Int](14))\n val box34 = OUTPUTS(placeholder[Int](15))\n val coll35 = box34.tokens\n val bool36 = l18 > l17\n val bool37 = bool6 && (l30 == placeholder[Long](16))\n val bool38 = if (coll16(placeholder[Int](17)) == placeholder[Long](18)) { (bool37 && bool36) && (l18 < l17 + placeholder[Long](19)) } else {\n bool37 && (l18 <= l17)\n }\n val tuple39 = coll1.getOrElse(placeholder[Int](20), tuple2)\n val l40 = tuple39._2\n val l41 = tuple27._2\n val tuple42 = coll35.getOrElse(placeholder[Int](21), tuple2)\n val coll43 = tuple42._1\n val l44 = tuple42._2\n prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n (\n (\n if (((bool10 && (INPUTS.size == placeholder[Int](22))) && (i11 == placeholder[Int](23))) && (l17 - l18 >= placeholder[Long](24))) {\n (\n (\n (\n (((bool23 && (l21 == l19 - placeholder[Long](25) - l20)) && (l21 >= placeholder[Long](26))) && (coll26 == SELF.id)) && (\n (\n (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](27))) && (\n coll24.size == placeholder[Int](28)\n )\n ) || (\n ((!bool29) && (coll24.size == placeholder[Int](29))) && (\n l32 == l19 - placeholder[Long](30) - l20 - placeholder[Long](31) / l33 * l31 + placeholder[Long](32)\n )\n )\n )\n ) && (box34.propositionBytes == coll8(placeholder[Int](33)))\n ) && (coll35.size == placeholder[Int](34))\n ) && (box34.value >= l20)\n } else { placeholder[Boolean](35) } || if ((bool38 && (INPUTS.size == placeholder[Int](36))) && (i11 == placeholder[Int](37))) {(\n val l45 = if (bool29) { l40 - l41 } else { l19 - l21 }\n val l46 = if (bool29) { l45 / l31 } else { l45 / l33 * l31 }\n val tuple47 = INPUTS(placeholder[Int](38)).tokens.getOrElse(placeholder[Int](39), tuple2)\n val box48 = OUTPUTS(placeholder[Int](40))\n val coll49 = box48.tokens\n val tuple50 = coll49.getOrElse(placeholder[Int](41), tuple2)\n (\n (\n ((l46 == if (tuple47._1 == box7.id) { tuple47._2 } else { placeholder[Long](42) }) && bool23) && (\n (\n (\n (\n ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l41 == placeholder[Long](43)))) && (coll43 == coll22)) && (l44 == l45)) && (\n coll35.size == placeholder[Int](44)\n )\n ) && (box48.value >= l46 * l33 * l31)\n ) && (coll49.size == placeholder[Int](45))\n ) || (\n (((((!bool29) && (box34.value >= l45)) && (coll35.size == placeholder[Int](46))) && (tuple50._1 == coll22)) && (tuple50._2 >= l46 * l31)) && (\n coll49.size == placeholder[Int](47)\n )\n )\n )\n ) && (box48.propositionBytes == coll15)\n ) && (OUTPUTS(placeholder[Int](48)).tokens.size == placeholder[Int](49))\n )} else { placeholder[Boolean](50) }\n ) || if (((bool6 && (!bool37)) && (INPUTS.size == placeholder[Int](51))) && (i11 == placeholder[Int](52))) {\n (\n (\n (\n (\n (\n ((((l21 == l19 - placeholder[Long](53) - placeholder[Long](54)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](55))) && (\n tuple27 == tuple39\n )\n ) && (box34.propositionBytes == coll15)\n ) && (box34.value == placeholder[Long](56))\n ) && (coll35.size == placeholder[Int](57))\n ) && (coll43 == coll4)\n ) && (l44 == l30 - placeholder[Long](58))\n } else { placeholder[Boolean](59) }\n ) || if ((bool36 && (!bool38)) || if (bool29) { bool37 && (l40 == placeholder[Long](60)) } else { bool37 && (l19 == placeholder[Long](61)) }) {\n ((((bool12 && (coll14 == coll15)) && (l21 >= l19 - placeholder[Long](62))) && (coll26 == tuple39._1)) && (l32 == l40)) && (\n coll24.size <= placeholder[Int](63)\n )\n } else { placeholder[Boolean](64) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 2000,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e20777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"sigmaType": "Coll[SByte]",
"renderedValue": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33"
},
"R6": {
"serializedValue": "0e0132",
"sigmaType": "Coll[SByte]",
"renderedValue": "32"
},
"R8": {
"serializedValue": "110700000480b0acf7f961c8a393010a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,2,1682812800000,1206500,5,1000000]"
},
"R7": {
"serializedValue": "63a0968001100205000502d19373007301e28f3800040e01200e01200e012063c0843d10010100d17300ce8f380000c29e8341fbb9884bc3c58559b49c529f5f9b2ff038b97f9e76976c92ba917b0f01bd0beef5b5e1eb164d6999d5d038f793954ebe93f82ea3bd0fa1b8c65edc41b100",
"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "1a0221023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508,0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6]"
},
"R4": {
"serializedValue": "0e2b43616c6c5f455f66616b655553445f4552475f313230363530305f323032332d30342d33305f7065725f32",
"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f455f66616b655553445f4552475f313230363530305f323032332d30342d33305f7065725f32"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "afefc70d2fbb396ebb00b206990d34ddbeece1ad3b7077baa47f55f8cc357016",
"transactionId": "51c16698e4d260f11eb3e5f1f4ebe8c142ee2230fa904ba94e6b8b44a9527858",
"blockId": "f6dcfd627bb995891645064a4dacf5a31396d09ed26cb4cbbf0bf70a03a7766b",
"value": 4200000,
"index": 0,
"globalIndex": 26070454,
"creationHeight": 928893,
"settlementHeight": 928896,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 3\n6: 6\n7: 2100000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 1\n17: 1\n18: 0\n19: 86400000\n20: 1\n21: 0\n22: 1\n23: 3\n24: 86400000\n25: 1100000\n26: 4200000\n27: 1\n28: 2\n29: 1\n30: 3300000\n31: 2000000\n32: 1\n33: 1\n34: 0\n35: false\n36: 2\n37: 4\n38: 1\n39: 0\n40: 2\n41: 0\n42: 0\n43: 0\n44: 1\n45: 0\n46: 0\n47: 1\n48: 3\n49: 0\n50: false\n51: 1\n52: 3\n53: 1100000\n54: 1000000\n55: 1\n56: 1000000\n57: 1\n58: 1\n59: false\n60: 0\n61: 2100000\n62: 1100000\n63: 1\n64: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val i11 = OUTPUTS.size\n val bool12 = i11 == placeholder[Int](3)\n val box13 = OUTPUTS(placeholder[Int](4))\n val coll14 = box13.propositionBytes\n val coll15 = prop9.propBytes\n val coll16 = box7.R8[Coll[Long]].get\n val l17 = coll16(placeholder[Int](5))\n val l18 = CONTEXT.preHeader.timestamp\n val l19 = SELF.value\n val l20 = coll16(placeholder[Int](6))\n val l21 = box13.value\n val coll22 = box7.R5[Coll[Byte]].get\n val bool23 = if (coll14 == SELF.propositionBytes) {\n (\n (((l21 >= placeholder[Long](7)) && (box13.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box13.R5[Coll[Byte]].get == coll22)) && (\n box13.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box13.R7[Box].get == box7)\n } else { placeholder[Boolean](8) }\n val coll24 = box13.tokens\n val tuple25 = coll24.getOrElse(placeholder[Int](9), tuple2)\n val coll26 = tuple25._1\n val tuple27 = coll24.getOrElse(placeholder[Int](10), tuple2)\n val coll28 = tuple27._1\n val bool29 = coll16(placeholder[Int](11)) == placeholder[Long](12)\n val l30 = tuple3._2\n val l31 = coll16(placeholder[Int](13))\n val l32 = tuple25._2\n val l33 = coll16(placeholder[Int](14))\n val box34 = OUTPUTS(placeholder[Int](15))\n val coll35 = box34.tokens\n val bool36 = l18 > l17\n val bool37 = bool6 && (l30 == placeholder[Long](16))\n val bool38 = if (coll16(placeholder[Int](17)) == placeholder[Long](18)) { (bool37 && bool36) && (l18 < l17 + placeholder[Long](19)) } else {\n bool37 && (l18 <= l17)\n }\n val tuple39 = coll1.getOrElse(placeholder[Int](20), tuple2)\n val l40 = tuple39._2\n val l41 = tuple27._2\n val tuple42 = coll35.getOrElse(placeholder[Int](21), tuple2)\n val coll43 = tuple42._1\n val l44 = tuple42._2\n prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n (\n (\n if (((bool10 && (INPUTS.size == placeholder[Int](22))) && (i11 == placeholder[Int](23))) && (l17 - l18 >= placeholder[Long](24))) {\n (\n (\n (\n (((bool23 && (l21 == l19 - placeholder[Long](25) - l20)) && (l21 >= placeholder[Long](26))) && (coll26 == SELF.id)) && (\n (\n (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](27))) && (\n coll24.size == placeholder[Int](28)\n )\n ) || (\n ((!bool29) && (coll24.size == placeholder[Int](29))) && (\n l32 == l19 - placeholder[Long](30) - l20 - placeholder[Long](31) / l33 * l31 + placeholder[Long](32)\n )\n )\n )\n ) && (box34.propositionBytes == coll8(placeholder[Int](33)))\n ) && (coll35.size == placeholder[Int](34))\n ) && (box34.value >= l20)\n } else { placeholder[Boolean](35) } || if ((bool38 && (INPUTS.size == placeholder[Int](36))) && (i11 == placeholder[Int](37))) {(\n val l45 = if (bool29) { l40 - l41 } else { l19 - l21 }\n val l46 = if (bool29) { l45 / l31 } else { l45 / l33 * l31 }\n val tuple47 = INPUTS(placeholder[Int](38)).tokens.getOrElse(placeholder[Int](39), tuple2)\n val box48 = OUTPUTS(placeholder[Int](40))\n val coll49 = box48.tokens\n val tuple50 = coll49.getOrElse(placeholder[Int](41), tuple2)\n (\n (\n ((l46 == if (tuple47._1 == box7.id) { tuple47._2 } else { placeholder[Long](42) }) && bool23) && (\n (\n (\n (\n ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l41 == placeholder[Long](43)))) && (coll43 == coll22)) && (l44 == l45)) && (\n coll35.size == placeholder[Int](44)\n )\n ) && (box48.value >= l46 * l33 * l31)\n ) && (coll49.size == placeholder[Int](45))\n ) || (\n (((((!bool29) && (box34.value >= l45)) && (coll35.size == placeholder[Int](46))) && (tuple50._1 == coll22)) && (tuple50._2 >= l46 * l31)) && (\n coll49.size == placeholder[Int](47)\n )\n )\n )\n ) && (box48.propositionBytes == coll15)\n ) && (OUTPUTS(placeholder[Int](48)).tokens.size == placeholder[Int](49))\n )} else { placeholder[Boolean](50) }\n ) || if (((bool6 && (!bool37)) && (INPUTS.size == placeholder[Int](51))) && (i11 == placeholder[Int](52))) {\n (\n (\n (\n (\n (\n ((((l21 == l19 - placeholder[Long](53) - placeholder[Long](54)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](55))) && (\n tuple27 == tuple39\n )\n ) && (box34.propositionBytes == coll15)\n ) && (box34.value == placeholder[Long](56))\n ) && (coll35.size == placeholder[Int](57))\n ) && (coll43 == coll4)\n ) && (l44 == l30 - placeholder[Long](58))\n } else { placeholder[Boolean](59) }\n ) || if ((bool36 && (!bool38)) || if (bool29) { bool37 && (l40 == placeholder[Long](60)) } else { bool37 && (l19 == placeholder[Long](61)) }) {\n ((((bool12 && (coll14 == coll15)) && (l21 >= l19 - placeholder[Long](62))) && (coll26 == tuple39._1)) && (l32 == l40)) && (\n coll24.size <= placeholder[Int](63)\n )\n } else { placeholder[Boolean](64) }\n )\n}",
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"assets": [
{
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"index": 0,
"amount": 1001,
"name": "Call_E_fakeUSD_ERG_1206500_2023-04-30_per_2",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 2000,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f455f66616b655553445f4552475f313230363530305f323032332d30342d33305f7065725f32"
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"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33"
},
"R6": {
"serializedValue": "0e0132",
"sigmaType": "Coll[SByte]",
"renderedValue": "32"
},
"R7": {
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"renderedValue": null
}
},
"spentTransactionId": "c4e3471e1ed14eba34729b21f3a09396bbde1350d1646efa17c7b2bc28adfcbd",
"mainChain": true
},
{
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"transactionId": "51c16698e4d260f11eb3e5f1f4ebe8c142ee2230fa904ba94e6b8b44a9527858",
"blockId": "f6dcfd627bb995891645064a4dacf5a31396d09ed26cb4cbbf0bf70a03a7766b",
"value": 1000000,
"index": 1,
"globalIndex": 26070455,
"creationHeight": 928893,
"settlementHeight": 928896,
"ergoTree": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9ed9a6,83e77d,...)))}",
"address": "9hfmJjrmeyhNgQZks1NzvrJyNgtHuMinnZbrupk6gGxTZWQQf87",
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"additionalRegisters": {},
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},
{
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"value": 1100000,
"index": 2,
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"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)}",
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"mainChain": true
}
],
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}