Token
da6a6cc7f6be29850a7a14fc85c4ea5caac9343c17ff55b9fa736e2a2b94f3e4
ID
da6a6cc7f6be29850a7a14fc85c4ea5caac9343c17ff55b9fa736e2a2b94f3e4
Name
CALL_fakeUSD_ERG_772999999_2023-03-31_per_1
Emission amount
11
Decimals
0
Description
0
Type
EIP-004
Issuer Box
{
"boxId": "da6a6cc7f6be29850a7a14fc85c4ea5caac9343c17ff55b9fa736e2a2b94f3e4",
"transactionId": "ed4fd9577d171c619cf10b246d9dd3c20bc2f5b9800dd39ee3502723bc643b98",
"blockId": "c5b07be914393b34d9b5027ba23dc60a70013a01356478b204257dddc575e232",
"value": 4200000,
"index": 0,
"globalIndex": 25337462,
"creationHeight": 912715,
"settlementHeight": 912718,
"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: Coll(48)\n16: 1\n17: 1\n18: false\n19: 0\n20: 6\n21: 0\n22: 0\n23: 86400000\n24: 2\n25: 1\n26: 3\n27: 86400000\n28: 2\n29: 1\n30: 1\n31: false\n32: 8\n33: 2\n34: 1100000\n35: false\n36: 14400000\n37: 2\n38: 5\n39: 1\n40: 0\n41: 0\n42: 0\n43: 0\n44: 3600000\n45: 1897\n46: 14400000\n47: 3795\n48: 86400000\n49: 9295\n50: 172800000\n51: 13145\n52: 432000000\n53: 20785\n54: 864000000\n55: 29394\n56: 1728000000\n57: 41569\n58: 2592000000\n59: 50912\n60: 5184000000\n61: 72000\n62: 12960000000\n63: 113842\n64: 20736000000\n65: 144000\n66: 31536000000\n67: 177584\n68: 47304000000\n69: 217495\n70: 63072000000\n71: 251141\n72: 94608000000\n73: 307584\n74: 1\n75: 0\n76: 1\n77: 0\n78: 1\n79: 4\n80: 3\n81: 1775840000\n82: 0\n83: 4\n84: 1000\n85: 5\n86: 177584000\n87: 10000\n88: 0\n89: 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)\n90: 1\n91: 2\n92: 2\n93: 1000000\n94: 3\n95: 3\n96: 1000000\n97: 7\n98: 1000\n99: 4\n100: 1100000\n101: false\n102: 2\n103: 4\n104: 0\n105: 2\n106: 2\n107: 3\n108: 1100000\n109: false\n110: 2\n111: 2\n112: 1100000\n113: 1\n114: 0\n115: 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 l22 = tuple21._2\n val l23 = box12.value\n val bool24 = l23 >= placeholder[Long](11)\n val l25 = coll16(placeholder[Int](12))\n val l26 = l25 * placeholder[Long](13)\n val tuple27 = coll20.getOrElse(placeholder[Int](14), tuple2)\n val l28 = tuple27._2\n val coll29 = tuple21._1\n val coll30 = box9.id\n val coll31 = placeholder[Coll[Byte]](15)\n val bool32 = if (coll13 == coll14) {\n (\n (\n (\n ((((bool24 && (coll29 == coll7)) && (l22 >= placeholder[Long](16))) && (tuple27._1 == coll30)) && (l28 >= placeholder[Long](17))) && (\n box12.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get\n )\n ) && (box12.R5[Coll[Byte]].get == coll31)\n ) && (box12.R6[Coll[Byte]].get == coll31)\n ) && (box12.R7[Box].get == box9)\n } else { placeholder[Boolean](18) }\n val coll33 = box9.R5[Coll[Byte]].get\n val bool34 = l18 <= l17\n val l35 = SELF.value\n val coll36 = box15.tokens\n val tuple37 = coll36.getOrElse(placeholder[Int](19), tuple2)\n val coll38 = tuple37._1\n val l39 = tuple37._2\n val coll40 = prop10.propBytes\n val l41 = coll16(placeholder[Int](20))\n val bool42 = coll16(placeholder[Int](21)) == placeholder[Long](22)\n val bool43 = l18 > l17\n val bool44 = if (bool42) { (bool8 && bool43) && (l18 < l17 + placeholder[Long](23)) } else { bool8 && bool34 }\n prop10 && sigmaProp(((bool11 && (OUTPUTS.size == placeholder[Int](24))) && (coll13 != coll14)) && (box15.propositionBytes != coll14)) || sigmaProp(\n (\n (\n if (((bool11 && (INPUTS.size == placeholder[Int](25))) && (OUTPUTS.size == placeholder[Int](26))) && (l19 >= placeholder[Long](27))) {\n (\n (\n (\n bool32 && if ((coll20.size == placeholder[Int](28)) && box12.R7[Box].isDefined) {\n ((bool24 && (l22 == l4)) && (l28 == l4 - placeholder[Long](29) / l26 + placeholder[Long](30))) && (box12.R7[Box].get == SELF)\n } else { placeholder[Boolean](31) }\n ) && (box15.propositionBytes == coll33)\n ) && (box15.value >= coll16(placeholder[Int](32)))\n ) && (OUTPUTS(placeholder[Int](33)).value == placeholder[Long](34))\n } else { placeholder[Boolean](35) } || if ((\n ((bool34 && (!(bool34 && (l18 > l17 - placeholder[Long](36))))) && (INPUTS.size == placeholder[Int](37))) && (OUTPUTS.size == placeholder[Int](38))\n ) && (CONTEXT.dataInputs.size == placeholder[Int](39))) {(\n val box45 = CONTEXT.dataInputs(placeholder[Int](40))\n val l46 = l6 - l28\n val l47 = box45.R4[Long].get\n val l48 = l47 - l41\n val l49 = max(placeholder[Long](41), l48 * l25)\n val coll50 = Coll[(Long, Long)](\n (placeholder[Long](42), placeholder[Long](43)), (placeholder[Long](44), placeholder[Long](45)), (placeholder[Long](46), placeholder[Long](47)), (\n placeholder[Long](48), placeholder[Long](49)\n ), (placeholder[Long](50), placeholder[Long](51)), (placeholder[Long](52), placeholder[Long](53)), (placeholder[Long](54), placeholder[Long](55)), (\n placeholder[Long](56), placeholder[Long](57)\n ), (placeholder[Long](58), placeholder[Long](59)), (placeholder[Long](60), placeholder[Long](61)), (placeholder[Long](62), placeholder[Long](63)), (\n placeholder[Long](64), placeholder[Long](65)\n ), (placeholder[Long](66), placeholder[Long](67)), (placeholder[Long](68), placeholder[Long](69)), (placeholder[Long](70), placeholder[Long](71)), (\n placeholder[Long](72), placeholder[Long](73)\n )\n )\n val i51 = coll50.map({(tuple51: (Long, Long)) => if (tuple51._1 >= l19) { placeholder[Long](74) } else { placeholder[Long](75) } }).indexOf(\n placeholder[Long](76), placeholder[Int](77)\n )\n val tuple52 = coll50(i51 - placeholder[Int](78))\n val l53 = tuple52._2\n val tuple54 = coll50(i51)\n val l55 = tuple52._1\n val l56 = l53 + tuple54._2 - l53 * l19 - l55 / tuple54._1 - l55\n val l57 = placeholder[Long](79) * coll16(placeholder[Int](80)) * l25 * l41 * l56 / placeholder[Long](81)\n val l58 = max(placeholder[Long](82), l57 - l57 * coll16(placeholder[Int](83)) * max(l48, l41 - l47) / placeholder[Long](84) * l41)\n val l59 = if (bool42) { l49 + l58 } else { l49 + l58 + l58 * coll16(placeholder[Int](85)) * l56 / placeholder[Long](86) }\n val l60 = l46 * l59 - l59 % placeholder[Long](87)\n (\n (\n (\n (\n (\n (\n (\n (\n (((box45.tokens(placeholder[Int](88))._1 == placeholder[Coll[Byte]](89)) && bool32) && (l23 == l35)) && (box12.R7[Box].get == box9)\n ) && (coll36.size == placeholder[Int](90))\n ) && (coll38 == coll30)\n ) && (l39 == l46)\n ) && (OUTPUTS(placeholder[Int](91)).propositionBytes == coll40)\n ) && (OUTPUTS(placeholder[Int](92)).value >= max(placeholder[Long](93), l60))\n ) && (OUTPUTS(placeholder[Int](94)).propositionBytes == coll33)\n ) && (OUTPUTS(placeholder[Int](95)).value >= max(placeholder[Long](96), l60 * coll16(placeholder[Int](97)) / placeholder[Long](98)))\n ) && (OUTPUTS(placeholder[Int](99)).value == placeholder[Long](100))\n )} else { placeholder[Boolean](101) }\n ) || if (((bool44 && (INPUTS.size == placeholder[Int](102))) && (OUTPUTS.size == placeholder[Int](103))) && (\n CONTEXT.dataInputs.size == placeholder[Int](104)\n )) {(\n val l45 = l4 - l22\n (\n ((((bool32 && (l28 == l6)) && (coll38 == coll7)) && (l39 == l45)) && (OUTPUTS(placeholder[Int](105)).propositionBytes == coll40)) && (\n OUTPUTS(placeholder[Int](106)).value >= l45 / l26 * l41 * l25\n )\n ) && (OUTPUTS(placeholder[Int](107)).value == placeholder[Long](108))\n )} else { placeholder[Boolean](109) }\n ) || if (((bool43 && (!bool44)) && (coll1.size == placeholder[Int](110))) && (OUTPUTS.size == placeholder[Int](111))) {\n (((((coll13 == coll40) && (l23 == l35 - placeholder[Long](112))) && (coll20.size == placeholder[Int](113))) && (coll29 == coll7)) && (l22 == l4)) && (\n coll36.size == placeholder[Int](114)\n )\n } else { placeholder[Boolean](115) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
"index": 0,
"amount": 1001,
"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": "110902028090b6cfe661e807e807d804feac98e1050a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1,1,1680220800000,500,500,300,772999999,5,1000000]"
},
"R7": {
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"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "08cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "SSigmaProp",
"renderedValue": "039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
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"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "43414c4c5f66616b655553445f4552475f3737323939393939395f323032332d30332d33315f7065725f31"
}
},
"spentTransactionId": "d21ecb5eb234dc573a50725410e8cfed647ab97e15091eaeccac83c94a07c8c9",
"mainChain": true
}