Token

5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1

ID
5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1
Name
Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1
Emission amount
1001
Decimals
2
Description
Type
EIP-004
Issuer Box
{
  "boxId": "5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1",
  "transactionId": "68819f0fc3c37ce598e9a014ccb12967a66fca79dd07d25336673686b77969a9",
  "blockId": "bce4531bfb1aead3c2fd4fa6682feab3eec29cf614443e05104a5473447639ed",
  "value": 12332495,
  "index": 0,
  "globalIndex": 26213712,
  "creationHeight": 932292,
  "settlementHeight": 932295,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 6\n6: 5\n7: 1000000\n8: false\n9: 0\n10: 1\n11: 0\n12: 0\n13: 2\n14: 4\n15: 1\n16: 3\n17: 1\n18: 1\n19: 0\n20: 86400000\n21: 1\n22: 0\n23: 1\n24: 3\n25: 2\n26: 1\n27: 2\n28: 1\n29: 3\n30: 2000000\n31: 1\n32: 1\n33: 0\n34: false\n35: 2\n36: 4\n37: 1\n38: 0\n39: 2\n40: 0\n41: 0\n42: 0\n43: 1\n44: 0\n45: 0\n46: 1\n47: 3\n48: 0\n49: false\n50: 1\n51: 3\n52: 1000000\n53: 1\n54: 1000000\n55: 1\n56: 1\n57: false\n58: 0\n59: 1\n60: 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 l16 = SELF.value\n  val coll17 = box7.R8[Coll[Long]].get\n  val l18 = coll17(placeholder[Int](5))\n  val l19 = coll17(placeholder[Int](6))\n  val l20 = box13.value\n  val l21 = l18 + placeholder[Long](7)\n  val coll22 = box7.R5[Coll[Byte]].get\n  val bool23 = if (coll14 == SELF.propositionBytes) {\n    (\n      (((l20 >= l21) && (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 = coll17(placeholder[Int](11)) == placeholder[Long](12)\n  val l30 = tuple3._2\n  val l31 = coll17(placeholder[Int](13))\n  val l32 = tuple25._2\n  val l33 = coll17(placeholder[Int](14))\n  val box34 = OUTPUTS(placeholder[Int](15))\n  val coll35 = box34.tokens\n  val l36 = CONTEXT.preHeader.timestamp\n  val l37 = coll17(placeholder[Int](16))\n  val bool38 = l36 > l37\n  val bool39 = bool6 && (l30 == placeholder[Long](17))\n  val bool40 = if (coll17(placeholder[Int](18)) == placeholder[Long](19)) { (bool39 && bool38) && (l36 < l37 + placeholder[Long](20)) } else {\n    bool39 && (l36 <= l37)\n  }\n  val tuple41 = coll1.getOrElse(placeholder[Int](21), tuple2)\n  val l42 = tuple41._2\n  val l43 = tuple27._2\n  val tuple44 = coll35.getOrElse(placeholder[Int](22), tuple2)\n  val coll45 = tuple44._1\n  val l46 = tuple44._2\n  prop9 && sigmaProp((bool10 && bool12) && (coll14 == coll15)) || sigmaProp(\n    (\n      (\n        if ((bool10 && (INPUTS.size == placeholder[Int](23))) && (i11 == placeholder[Int](24))) {\n          (\n            (\n              (\n                (((bool23 && (l20 == l16 - l18 - l19)) && (l20 >= placeholder[Long](25) * l21)) && (coll26 == SELF.id)) && (\n                  (\n                    (((bool29 && (coll28 == coll22)) && (tuple27 == tuple3)) && (l32 == l30 / l31 + placeholder[Long](26))) && (\n                      coll24.size == placeholder[Int](27)\n                    )\n                  ) || (\n                    ((!bool29) && (coll24.size == placeholder[Int](28))) && (\n                      l32 == l16 - placeholder[Long](29) * l18 - l19 - placeholder[Long](30) / l33 * l31 + placeholder[Long](31)\n                    )\n                  )\n                )\n              ) && (box34.propositionBytes == coll8(placeholder[Int](32)))\n            ) && (coll35.size == placeholder[Int](33))\n          ) && (box34.value >= l19)\n        } else { placeholder[Boolean](34) } || if ((bool40 && (INPUTS.size == placeholder[Int](35))) && (i11 == placeholder[Int](36))) {(\n          val l47 = if (bool29) { l42 - l43 } else { l16 - l20 }\n          val l48 = if (bool29) { l47 / l31 } else { l47 / l33 * l31 }\n          val tuple49 = INPUTS(placeholder[Int](37)).tokens.getOrElse(placeholder[Int](38), tuple2)\n          val box50 = OUTPUTS(placeholder[Int](39))\n          val coll51 = box50.tokens\n          val tuple52 = coll51.getOrElse(placeholder[Int](40), tuple2)\n          (\n            (\n              ((l48 == if (tuple49._1 == box7.id) { tuple49._2 } else { placeholder[Long](41) }) && bool23) && (\n                (\n                  (\n                    (\n                      ((((bool29 && (tuple3 == tuple25)) && ((coll28 == coll22) || (l43 == placeholder[Long](42)))) && (coll45 == coll22)) && (l46 == l47)) && (\n                        coll35.size == placeholder[Int](43)\n                      )\n                    ) && (box50.value >= l48 * l33 * l31)\n                  ) && (coll51.size == placeholder[Int](44))\n                ) || (\n                  (((((!bool29) && (box34.value >= l47)) && (coll35.size == placeholder[Int](45))) && (tuple52._1 == coll22)) && (tuple52._2 >= l48 * l31)) && (\n                    coll51.size == placeholder[Int](46)\n                  )\n                )\n              )\n            ) && (box50.propositionBytes == coll15)\n          ) && (OUTPUTS(placeholder[Int](47)).tokens.size == placeholder[Int](48))\n        )} else { placeholder[Boolean](49) }\n      ) || if (((bool6 && (!bool39)) && (INPUTS.size == placeholder[Int](50))) && (i11 == placeholder[Int](51))) {\n        (\n          (\n            (\n              (\n                (((((l20 == l16 - l18 - placeholder[Long](52)) && bool23) && (coll26 == coll4)) && (l32 == placeholder[Long](53))) && (tuple27 == tuple41)) && (\n                  box34.propositionBytes == coll15\n                )\n              ) && (box34.value == placeholder[Long](54))\n            ) && (coll35.size == placeholder[Int](55))\n          ) && (coll45 == coll4)\n        ) && (l46 == l30 - placeholder[Long](56))\n      } else { placeholder[Boolean](57) }\n    ) || if ((bool38 && (!bool40)) || if (bool29) { bool39 && (l42 == placeholder[Long](58)) } else { bool39 && (l16 == l21) }) {\n      ((((bool12 && (coll14 == coll15)) && (l20 >= l16 - l18)) && (coll26 == tuple41._1)) && (l32 == l42)) && (coll24.size <= placeholder[Int](59))\n    } else { placeholder[Boolean](60) }\n  )\n}",
  "address": "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",
  "assets": [
    {
      "tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
      "index": 0,
      "amount": 1000,
      "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": "110700020280e0aa93fd61c6a39301debada06c0a38601",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[0,1,1,1683244800000,1206499,7032495,1100000]"
    },
    "R7": {
      "serializedValue": "63a0968001100205000502d19373007301e28f3800040e01200e01200e012063c0843d10010100d17300ce8f380000c29e8341fbb9884bc3c58559b49c529f5f9b2ff038b97f9e76976c92ba917b0f01bd0beef5b5e1eb164d6999d5d038f793954ebe93f82ea3bd0fa1b8c65edc41b100",
      "sigmaType": null,
      "renderedValue": null
    },
    "R9": {
      "serializedValue": "1a022102042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
      "sigmaType": "Coll[Coll[SByte]]",
      "renderedValue": "[02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e,0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6]"
    },
    "R4": {
      "serializedValue": "0e2d43616c6c5f415f66616b655553445f4552475f3132303634393939395f323032332d30352d30355f7065725f31",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "43616c6c5f415f66616b655553445f4552475f3132303634393939395f323032332d30352d30355f7065725f31"
    }
  },
  "spentTransactionId": "bf7e84f5134eae60d969b878b0f53e7eb2e0ac9b1340aae97bbdab4a629279ac",
  "mainChain": true
}