Token
77e643d7bc83de0af1bc1ef256329e21932abe756f3fbb9b45dcca19d59a933f
ID
77e643d7bc83de0af1bc1ef256329e21932abe756f3fbb9b45dcca19d59a933f
Name
CALL_fakeUSD_ERG_772999999_2022-12-28_per_10
Emission amount
101
Decimals
0
Description
0
Type
EIP-004
Issuer Box
{
"boxId": "77e643d7bc83de0af1bc1ef256329e21932abe756f3fbb9b45dcca19d59a933f",
"transactionId": "e977416b5f40496aaa36e9a1cdfa33d3a569c2be3306d2d27d6a0cc845331680",
"blockId": "05681d3455b3f93c3247ecf72f6f10c10585f19be1b1473d632e32128d7c917e",
"value": 4200000,
"index": 0,
"globalIndex": 24804996,
"creationHeight": 900961,
"settlementHeight": 900963,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: Coll(119,119,119,-27,5,31,-118,107,-61,8,39,-18,65,-35,57,-32,75,-54,29,-70,53,35,107,-102,38,-76,-108,-32,-70,-56,79,51)\n4: 0\n5: 0\n6: false\n7: 0\n8: 1\n9: 2\n10: 0\n11: 2100000\n12: 1\n13: 100\n14: 1\n15: 1\n16: 1\n17: Coll(48)\n18: Coll(48)\n19: false\n20: 6\n21: 0\n22: 0\n23: 0\n24: 86400000\n25: 2\n26: 1\n27: 3\n28: 86400000\n29: 2\n30: 1\n31: 1\n32: false\n33: 8\n34: 0\n35: 2\n36: 1100000\n37: 2\n38: 0\n39: false\n40: 14400000\n41: 2\n42: 5\n43: 1\n44: 0\n45: 0\n46: 0\n47: 1\n48: 1\n49: 100\n50: 10\n51: 10000\n52: 100\n53: 100000000000000\n54: 10000000\n55: 1\n56: 0\n57: 1\n58: 0\n59: 1\n60: 4\n61: 3\n62: 1775840000\n63: 0\n64: 4\n65: 1000\n66: 5\n67: 177584000\n68: 1000000\n69: 7\n70: 1000\n71: 0\n72: 0\n73: Coll(102,102,102,-116,-29,83,-2,-3,20,109,20,-76,20,-126,-43,38,-21,-14,106,90,125,32,79,54,87,12,89,-59,88,19,107,-125)\n74: 1\n75: 1100000\n76: 1\n77: 2\n78: 2\n79: 2\n80: 0\n81: 3\n82: 3\n83: 3\n84: 0\n85: 4\n86: 1100000\n87: 4\n88: 0\n89: false\n90: 2\n91: 4\n92: 0\n93: 1\n94: 2\n95: 2\n96: 2\n97: 0\n98: 3\n99: 1100000\n100: 3\n101: 0\n102: false\n103: 2\n104: 2\n105: 1100000\n106: 1\n107: 0\n108: 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 l4 = tuple3._2\n val tuple5 = coll1.getOrElse(placeholder[Int](2), tuple2)\n val l6 = tuple5._2\n val coll7 = placeholder[Coll[Byte]](3)\n val bool8 = if ((l4 > placeholder[Long](4)) && (l6 > placeholder[Long](5))) {\n ((tuple3._1 == coll7) && (tuple5._1 == SELF.R7[Box].get.id)) && (SELF.propositionBytes == SELF.R7[Box].get.propositionBytes)\n } else { placeholder[Boolean](6) }\n val box9 = if (bool8) { SELF.R7[Box].get } else { SELF }\n val prop10 = box9.R9[SigmaProp].get\n val bool11 = !bool8\n val box12 = OUTPUTS(placeholder[Int](7))\n val coll13 = box12.propositionBytes\n val coll14 = SELF.propositionBytes\n val box15 = OUTPUTS(placeholder[Int](8))\n val coll16 = box9.R8[Coll[Long]].get\n val l17 = coll16(placeholder[Int](9))\n val l18 = CONTEXT.preHeader.timestamp\n val l19 = l17 - l18\n val coll20 = box12.tokens\n val tuple21 = coll20.getOrElse(placeholder[Int](10), tuple2)\n val coll22 = tuple21._1\n val l23 = box12.value\n val bool24 = l23 >= placeholder[Long](11)\n val l25 = tuple21._2\n val l26 = coll16(placeholder[Int](12))\n val l27 = l26 * placeholder[Long](13)\n val tuple28 = coll20.getOrElse(placeholder[Int](14), tuple2)\n val l29 = tuple28._2\n val coll30 = box9.id\n val bool31 = if (coll13 == coll14) {\n (\n (\n (\n ((((bool24 && (coll22 == coll7)) && (l25 >= placeholder[Long](15))) && (tuple28._1 == coll30)) && (l29 >= placeholder[Long](16))) && (\n box12.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get\n )\n ) && (box12.R5[Coll[Byte]].get == placeholder[Coll[Byte]](17))\n ) && (box12.R6[Coll[Byte]].get == placeholder[Coll[Byte]](18))\n ) && (box12.R7[Box].get == box9)\n } else { placeholder[Boolean](19) }\n val coll32 = box9.R5[Coll[Byte]].get\n val coll33 = box15.tokens\n val bool34 = l17 <= l18\n val l35 = SELF.value\n val l36 = coll16(placeholder[Int](20))\n val bool37 = coll16(placeholder[Int](21)) == placeholder[Long](22)\n val tuple38 = coll33.getOrElse(placeholder[Int](23), tuple2)\n val coll39 = tuple38._1\n val l40 = tuple38._2\n val coll41 = prop10.propBytes\n val bool42 = l17 > l18\n val bool43 = if (bool37) { (bool8 && bool42) && (l18 < l17 + placeholder[Long](24)) } else { bool8 && bool34 }\n prop10 && sigmaProp(((bool11 && (OUTPUTS.size == placeholder[Int](25))) && (coll13 != coll14)) && (box15.propositionBytes != coll14)) || sigmaProp(\n (\n (\n if (((bool11 && (INPUTS.size == placeholder[Int](26))) && (OUTPUTS.size == placeholder[Int](27))) && (l19 >= placeholder[Long](28))) {\n (\n (\n (\n (\n (\n bool31 && if ((coll20.size == placeholder[Int](29)) && box12.R7[Box].isDefined) {\n (((bool24 && (coll22 == coll7)) && (l25 == l4)) && (l29 == l4 - placeholder[Long](30) / l27 + placeholder[Long](31))) && (\n box12.R7[Box].get == SELF\n )\n } else { placeholder[Boolean](32) }\n ) && (box15.propositionBytes == coll32)\n ) && (box15.value >= coll16(placeholder[Int](33)))\n ) && (coll33.size == placeholder[Int](34))\n ) && (OUTPUTS(placeholder[Int](35)).value == placeholder[Long](36))\n ) && (OUTPUTS(placeholder[Int](37)).tokens.size == placeholder[Int](38))\n } else { placeholder[Boolean](39) } || if ((\n ((bool34 && (l17 - placeholder[Long](40) <= l18)) && (INPUTS.size == placeholder[Int](41))) && (OUTPUTS.size == placeholder[Int](42))\n ) && (CONTEXT.dataInputs.size == placeholder[Int](43))) {(\n val l44 = l6 - l29\n val l45 = SELF.R4[Long].get\n val l46 = l45 - l36\n val l47 = max(placeholder[Long](44), l46 * l26)\n val coll48 = Coll[(Long, Long)](\n (placeholder[Long](45), placeholder[Long](46)), (placeholder[Long](47), placeholder[Long](48)), (placeholder[Long](49), placeholder[Long](50)), (\n placeholder[Long](51), placeholder[Long](52)\n ), (placeholder[Long](53), placeholder[Long](54))\n )\n val i49 = coll48.map({(tuple49: (Long, Long)) => if (tuple49._1 >= l19) { placeholder[Long](55) } else { placeholder[Long](56) } }).indexOf(\n placeholder[Long](57), placeholder[Int](58)\n )\n val tuple50 = coll48(i49 - placeholder[Int](59))\n val l51 = tuple50._2\n val tuple52 = coll48(i49)\n val l53 = tuple50._1\n val l54 = l51 + tuple52._2 - l51 * l19 - l53 / tuple52._1 - l53\n val l55 = placeholder[Long](60) * coll16(placeholder[Int](61)) * l26 * l36 * l54 / placeholder[Long](62)\n val l56 = max(placeholder[Long](63), l55 - l55 * coll16(placeholder[Int](64)) * max(l46, l36 - l45) / placeholder[Long](65) * l36)\n val l57 = l44 * if (bool37) { l47 + l56 } else { l47 + l56 + l56 * coll16(placeholder[Int](66)) * l54 / placeholder[Long](67) }\n val l58 = max(placeholder[Long](68), l57 * coll16(placeholder[Int](69)) / placeholder[Long](70))\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((CONTEXT.dataInputs(placeholder[Int](71)).tokens(placeholder[Int](72))._1 == placeholder[Coll[Byte]](73)) && bool31) && (\n l23 == l35\n )\n ) && (box12.R7[Box].get == box9)\n ) && (box15.value == INPUTS(placeholder[Int](74)).value - placeholder[Long](75) - l57 - l58)\n ) && (coll33.size == placeholder[Int](76))\n ) && (coll39 == coll30)\n ) && (l40 == l44)\n ) && (OUTPUTS(placeholder[Int](77)).propositionBytes == coll41)\n ) && (OUTPUTS(placeholder[Int](78)).value >= l57)\n ) && (OUTPUTS(placeholder[Int](79)).tokens.size == placeholder[Int](80))\n ) && (OUTPUTS(placeholder[Int](81)).propositionBytes == coll32)\n ) && (OUTPUTS(placeholder[Int](82)).value >= l58)\n ) && (OUTPUTS(placeholder[Int](83)).tokens.size == placeholder[Int](84))\n ) && (OUTPUTS(placeholder[Int](85)).value == placeholder[Long](86))\n ) && (OUTPUTS(placeholder[Int](87)).tokens.size == placeholder[Int](88))\n )} else { placeholder[Boolean](89) }\n ) || if (((bool43 && (INPUTS.size == placeholder[Int](90))) && (OUTPUTS.size == placeholder[Int](91))) && (\n CONTEXT.dataInputs.size == placeholder[Int](92)\n )) {(\n val l44 = l25 - l4 / l27\n (\n (\n (\n (\n ((((bool31 && (l29 == l6)) && (coll39 == coll7)) && (l40 == l44 * l27)) && (coll33.size == placeholder[Int](93))) && (\n OUTPUTS(placeholder[Int](94)).propositionBytes == coll41\n )\n ) && (OUTPUTS(placeholder[Int](95)).value >= l44 * l36 * l26)\n ) && (OUTPUTS(placeholder[Int](96)).tokens.size == placeholder[Int](97))\n ) && (OUTPUTS(placeholder[Int](98)).value == placeholder[Long](99))\n ) && (OUTPUTS(placeholder[Int](100)).tokens.size == placeholder[Int](101))\n )} else { placeholder[Boolean](102) }\n ) || if (((bool42 && (!bool43)) && (coll1.size == placeholder[Int](103))) && (OUTPUTS.size == placeholder[Int](104))) {\n (((((coll13 == coll41) && (l23 == l35 - placeholder[Long](105))) && (coll20.size == placeholder[Int](106))) && (coll22 == coll7)) && (l25 == l4)) && (\n coll33.size == placeholder[Int](107)\n )\n } else { placeholder[Boolean](108) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 100001,
"name": "fakeUSD",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R8": {
"serializedValue": "1109001480e0bae0aa61e807e807d804feac98e1050a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,10,1672185600000,500,500,300,772999999,5,1000000]"
},
"R7": {
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"sigmaType": null,
"renderedValue": null
},
"R9": {
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"sigmaType": "SSigmaProp",
"renderedValue": "039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
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"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "43414c4c5f66616b655553445f4552475f3737323939393939395f323032322d31322d32385f7065725f3130"
}
},
"spentTransactionId": "54d0a38af96f1024a67c85cf03fad4793cf8d9da88348bfc645eb805e4045013",
"mainChain": true
}