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In java, the subtractExact() is a static method of the class StrictMath. It is available in ‘java.lang’ package.

In this article, we will discuss StrictMath and some of its inbuilt methods. We will also see the implementation of subtractExact() method and how it is different from other methods of this class.

StrictMath Class in Java

StrictMath is a final class that extends object class. We can use its methods without creating instance because all the methods of this class are static and we can call a static method without an object.

To call a Static Mehtod Class_name.static_method_name To import StrictMath Class import java.lang.StrictMath;

Let’s discuss few methods of StrictMath class first after that we come to its subtractExact() method in the next section.

abs( value ) − returns the positive value of the given argument. It accepts one argument only.

ceil( value ) − It takes double value as an argument and returns a rounded value greater than the given argument.

floor( value ) − It takes double value as an argument and returns a rounded value smaller than the given argument.

log( value ) − It takes double value and returns the log value to the base e.

max(value1, value2) − returns the maximum of the given two arguments.

min(value1, value2) − returns the minimum of the given two arguments.

random( value ) − It generates a random number between the range from 0 to 1.

pow(value1, value2) − It takes two argument and returns the value1 to the power value2.

round( value ) − It returns the closest integer value of the given argument.

Example

In this example, we will implement the above discussed methods for our better understanding. We use the class name to call all these methods.

import java.lang.StrictMath; public class Methods { public static void main(String[] args) { int n1 = 45; int n2 = 9; double d1 = 46.992; double d2 = 34.27; System.out.println("Printing a random value between 0 and 1: " + StrictMath.random()); System.out.println("Ceil value of d2: " + StrictMath.ceil(d2)); System.out.println("Absolute value of d1: " + StrictMath.abs(d1)); System.out.println("Floor value of d2: " + StrictMath.floor(d2)); System.out.println("Floor modulus value of n1 and n2: " + StrictMath.floorMod(n1, n2)); System.out.println("Logarithmic value of d2: " + StrictMath.log(d2)); System.out.println("Maximum value between n1 and n2: " + StrictMath.max(n1, n2)); System.out.println("Minimum value between n1 and n2: " + StrictMath.min(n1, n2)); System.out.println(" 9 to power 2 is: " + StrictMath.pow(n2, 2)); System.out.println("Rounded value of d1: " + StrictMath.round(d1)); } } Output Printing a random value between 0 and 1: 0.5155915867224573 Ceil value of d2: 35.0 Absolute value of d1: 46.992 Floor value of d2: 34.0 Floor modulus value of n1 and n2: 0 Logarithmic value of d2: 3.5342703358865175 Maximum value between n1 and n2: 45 Minimum value between n1 and n2: 9 9 to power 2 is: 81.0 Rounded value of d1: 47 subtractExact() Method

The subtractExact() method calculates the difference between two given arguments and returns it. It works with integer and long primitive datatypes.

All the methods we have discussed so far do not throw any kind of exception. But, It throws the ArithmeticException when the result exceeds the range of type of its arguments.

Syntax StrictMath.strictExact(val1, val2);

It will subtract the ‘val2’ from ‘val1’.

Example 1

The following example illustrates the implementation of subtractExact() method with integer datatype.

import java.lang.StrictMath; public class Methods { public static void main(String[] args) { int i1 = 45; int i2 = 9; System.out.println("Difference between i1 and i2: " + StrictMath.subtractExact(i1, i2)); } } Output Difference between i1 and i2: 36 Example 2

In this example, we will see it working with long datatypes.

import java.lang.StrictMath; public class Methods { public static void main(String[] args) { long l1 = 459653499; long l2 = 287933475; System.out.println("Difference between l1 and l2: " + StrictMath.subtractExact(l1, l2)); } } Output Difference between l1 and l2: 171720024 Conclusion

The class StrictMath is very useful when we need to do mathematical calculations. It provides a variety of inbuilt methods to perform operations on numerical datatypes. In this article, we have understood StrictMath class and its inbuilt method subtractExact().

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Expressions In Sql With Examples

Introduction to SQL Expressions

SQL expressions are the collective formula consisting of values, column names, operators, and functions present in SQL. The expressions in SQL are further classified as Boolean expressions, numeric expressions, and date-time expressions. The expressions are formulas that evaluate a particular value that can be further used according to our necessity. Boolean expressions are used to evaluate a condition that results in either true or false and can be used anywhere but mostly used in the where clause to perform restrictions on column values.

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The numeric expressions are used to evaluate the summarized and cumulative numeric values that are mostly used for reporting purposes. The numeric expressions can be formed by using aggregate functions of SQL such as SUM, COUNT, AVG, etc, and operators like addition, subtraction, multiplication, etc. Date and time-related expressions are used to evaluate and retrieve the current date and time or some manipulated dates and times.

Expressions in SQL with Examples 1. Boolean Expressions

The use of Boolean expressions is mainly done in the where clause of the SQL queries which can be either SELECT, INSERT, UPDATE, and DELETE. Note that the conditions and expressions used in the WHERE clause can make the use of AND, OR, NOT, etc operators so that the final value retrieved from the condition will be a Boolean value. This is called a Boolean expression. Let us see the syntax of the usage of Boolean expressions in SELECT query inside the WHERE clause

SELECT column_name1, column_name2, column_nameN FROM name of the table WHERE boolean expression;

Let us consider a simple example where we have an existing table named educba_writers_demo that has the contents as retrieved from the following query statement –

SELECT * FROM educba_writers_demo ;

The execution of the above query statement will give the following output:

Now, we will apply a boolean condition in where a clause specifies that the value of the rate column should be greater than 700. The condition will return either true or false for each of the records in the table. If it’s true then the record will be added in the final resultset or not. Let us execute the following query and observe the output –

SELECT * FROM educba_writers_demo

The execution of the above query statement will give the following output:

2. Numeric Expressions

Numeric expressions involve usage of literal values and column values and that are manipulated with the usage of operators like add, subtract, divide and multiply and different functions that are available in SAQL such as aggregate functions containing SUM(), COUNT(), AVG(), MAX(), MIN(), etc to retrieve a value that can be used further. Most of the time, numerical expressions are used in the retrieval list of the SELECT query statement to retrieve the summarized data that is sent to the client mostly for analysis purposes such as reporting and dashboarding. Let us consider simple examples that use numerical expressions. Syntax of using numerical expressions is as shown below:

SELECT Numerical expression FROM name of the table [WHERE restriction];

Let us firstly consider a simple example that we used above to explain the working of the AVG() function. We will calculate the average value of SQL numbers using the AVG() function. Let us create one simple table named numbers and store the num column value in it. We will use the following query statement to create our table –

CREATE TABLE numbers (num INT) ;

The execution of the above query statement will give the following output:

Now, we will insert the above records in the table. Our query statement will be as follows –

INSERT INTO numbers(num) VALUES (50), (100), (150), (200);

Let us now retrieve the records once:

SELECT * FROM numbers ;

The execution of the above query statement will give the following output:

Now, we will calculate the average of num column of numbers table using AVG() function using the following query statement –

SELECT AVG(num) FROM numbers ;

The execution of the above query statement will give the following output:

Similarly, we can use COUNT(), MAX(), and various other functions and also formulas involving operators. Let us consider the usage of operators along with avg() function in the following example –

SELECT AVG((num * 10) + 1) FROM numbers ;

Now, we will calculate the total of num column of numbers table using SUM() function using the following query statement –

SELECT SUM(num) FROM numbers ;

The execution of the above query statement will give the following output:

3. Date Time Expressions

The expressions that are related to date and time help in fetching the information such as current date, time, and timestamp. This is used for informative purposes and to store temporal values in the table to record the time and date during which the data was being inserted and also for assigning a default value to the fields with datatype like date, time, DateTime, and timestamp. Let us firstly use a simple query statement that retrieves the current timestamp –

SELECT CURRENT_TIMESTAMP;

The execution of the above query statement will give the following output:

Further, we can use the different functions that are available in SQL to handle temporal values such as GETDATE() to retrieve the current date and so on.

Conclusion

SQL expressions can be used to evaluate a value that results from the combination of functions, operators, literal values, and column values. The returned value of the expression is further used either for decision making as summarized data or informational purposes. The expressions are classified into three types in SQL that are boolean expressions, numerical expressions, and date time-related expressions respectively.

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How Include Works In Linq With Examples?

Introduction to LINQ Include

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Syntax:

Let’s understand the following syntax,

var C_OrderDetails=context.customer details.Include ("OrderDetails").ToList();

In this syntax, we use the include method to combine the related entities in the same query, like merging multiple entities in a single query.

How does include work in LINQ? Var COrderDetails=context.CustomerDetails.Include ("OrderDetails").ToList();

By using only SQL statements instead of using the Include() methods, we need to generate the following queries to retrieve the same above,

SELECT * FROM CustomerDetails;

Instead of using Include (“OrderDetails”), the code looks as follows,

SELECT * FROM CustomerDetails JOIN OrderDetails ON Customer_ID=OrderDetails.Customer_ID; Var Customer_OrderDetails= context.CustomerDetails.Include("OrderDetails").Include("LineItems").Include ("ProducDetails").ToList();

We can make it use multiple calls to Include() to get the objects along various paths. If you require the objects in the same path, you must make a single call specifying the entire path.

Example

When using Include, if we have n number of queries to execute n number of times that is time-consuming, then it’s like select N+1 problem; this issue happens only because the lazy loading mechanism enables by default to execute a single query n number of queries to do something. So it’s better to avoid the select N+1 problem in Entity Framework; we need to use the Include Method, which helps to build a single query with required data using the Join clause, and this is the most resourceful way compared to executing queries multiple times.

Let’s see the sample program with the use of LINQ_Include. We need to include the namespace chúng tôi entity which the LINQ Include is an extension method of the Data.Entity namespace. Entity Framework version provides LINQ Include() by using chúng tôi and System.Data.Entity.

Code:

using System; using System.Data.Entity; using System.Linq; using System.Collections.Generic; public class Program_LINQ_Include { public static void Main() { Inserting_Data(); using (var context = new EntityContext()) { var customers = context.Customers .ToList(); Displaying_Data(customers); } } public static void Inserting_Data() { using (var context = new EntityContext()) { context.BulkInsert(CustomerData()); context.BulkInsert(InvoiceData()); context.BulkInsert(ItemData()); } } { { new Customer() { Name ="Peter"}, new Customer() { Name ="Smith"}, new Customer() { Name ="James"} }; return list; } { { new Invoice() { Date = new DateTime(2024,5,3), CustomerID = 1}, new Invoice() { Date = DateTime.Now.AddDays(-5), CustomerID = 1}, new Invoice() { Date = DateTime.Now.AddDays(-3), CustomerID = 1}, new Invoice() { Date = new DateTime(2024,4,15), CustomerID = 2}, new Invoice() { Date = new DateTime(2024,2,20), CustomerID = 3}, new Invoice() { Date = new DateTime(2024,5,22), CustomerID = 3}, }; return list; } { { new Item() { Name = "Mobile-Charger", InvoiceID = 1}, new Item() { Name = "Laptop-DELL", InvoiceID = 1}, new Item() { Name = "Stationeries", InvoiceID = 1}, new Item() { Name = "Note-Books", InvoiceID = 2}, new Item() { Name = "DataCard", InvoiceID = 2}, new Item() { Name = "PenDrive", InvoiceID = 3}, new Item() { Name = "Water-Bottles", InvoiceID = 3}, new Item() { Name = "Stationeries", InvoiceID = 3}, new Item() { Name = "DataCard", InvoiceID = 4}, new Item() { Name = "School-Bags", InvoiceID = 4}, new Item() { Name = "Table-Chairs", InvoiceID = 4}, new Item() { Name = "Lap-Table", InvoiceID = 4}, new Item() { Name = "Mobile-Charger", InvoiceID = 5}, new Item() { Name = "School-Bags", InvoiceID = 5}, new Item() { Name = "Stationeries", InvoiceID = 6}, new Item() { Name = "Laptop-DELL", InvoiceID = 6}, new Item() { Name = "Loptop-Cover", InvoiceID = 6}, new Item() { Name = "PenDrive", InvoiceID = 6}, new Item() { Name = "Memory-Card", InvoiceID = 6}, new Item() { Name = "Mobile-Charger", InvoiceID = 6}, new Item() { Name = "School-Bags", InvoiceID = 6}, new Item() { Name = "Touch-Pad", InvoiceID = 6}, }; return list; } { foreach(var customer in list) { Console.WriteLine(customer.Name); foreach(var invoice in customer.Invoices) { Console.WriteLine("t" + invoice.Date); foreach(var item in invoice.Items) { Console.WriteLine("tt" + item.Name); } } } Console.WriteLine("tt"); } }

Output:

Let’s understand the above example, like how the LINQ Includes functionality to load the related entities. To assume that the Customer_Details Object has links to its Invoice_Details and those orders have an ItemData reference. Likewise, we can make several links to the related objects by using LINQ Include(), which allows you to specify the related entities to be read from the database in a single query.

Conclusion

I have explained the LINQ Include() method with several examples programmatically in this article. It enables us to retrieve the related entities from the database in the same query. Using the Include method in a single query, we can easily read all related entities from the database.

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How Typedef Work In C++ With Examples

Introduction to C++ typedef

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Syntax:

In C++ each object, variables and keywords have their own syntax and attributes for declaring in the programming codes. Based on the requirement, we will utilize the special keywords or reserved keywords from the programming library.

datatype main() { typedef old datatype name new datatype name; typedef struct structure name; { datatype initialization; } —coding logics— }

The above codes are the basic syntax for using the typedef keywords in the programming logic. We can use the typedef as the structure using struct keyword type; by using this type, we can create n number of data types declaration as well as change the name in a single process.

How does typedef work in C++?

Generally, the typedef is one of the reserved keywords; it provides the same level of abstractions from the actual data type and changes data types that are being used for programmers to allow it with the more focus on the coding concepts. It also makes it easier to write the programming codes and clean them using some destroy() or any other default methods because garbage collectors are the main area for destroying the unwanted codes and clean it for the memory space areas. Depending on the data types, the sizes must be calculated, and it allocates the memory space for the big storage data type variables and small amount storage variables.

Normally the typedef declarations are used with the two different types like typedef type-declaration and typedef type-definition identifier; these two standard typedef declarations are covered with the new name types alias with the some syntax declarations for the language identifiers, and the other type is covered with the some standard libraries and in other POSIX specifications are included with the typedef definitions, and it is more often in the both prefix and suffix, and it includes the common sizes with more number of time calculations included in the codes. Moreover, a typedef keyword often used with the some documentations while indicating the number of the specific variable via included in the programming contexts that may include in the expressions with a variable number of unit measures with counts.

The keyword also used to simplified the variable declarations for the some compound types like struct, union etc. or even though we included some pointers type in the syntax while we used pointer in the typedef keyword, it creates the specific memory storage in the compiler and as well as the address of the variable also changed in the both old and new data types. We can also use structure pointers in the typedef keyword that contains multiple variables with the same type and to declare with the single level statements even though the pointers are included or not in the structure type. The functional pointers also specified with the typedef the preceding number of coding lines will be rewritten with the typedef keyword it reduces the length and complexity of the programs. The functional declarations will be more cryptic, and it clearly shows with the accepts of arguments or the types, it will return the variables.

Examples of C++ typedef

Given below are the examples of C++ typedef:

Example #1

Code:

using namespace std; typedef struct example { int id; char name[14]; int mobile; }s; class demo { int a; public: demo(int a_i = 1) : a{a_i } { cout << “The conversion is called through this method” << endl; } operator string() { cout << “The casting conversion operation is:” << endl; return to_string(a); } }; int main() { s j, k, l; demo b(4) string s = b; b = 32; j.id = 2; strcpy(j.name,”siva”); j.mobile = 82202; k.id = 4; strcpy(j.name,”raman”); j.mobile = 57464; k.id = 6; strcpy(k.name,”sivaraman”); k.mobile = 198591; cout << “Welcome To My Domain” << endl; cout << “ID1 : ” << chúng tôi << endl; cout << “name1 : ” << chúng tôi << endl; cout << “mobile1 : ” << j.mobile << endl; cout << “ID2 : ” << chúng tôi << endl; cout << “name2 : ” << chúng tôi << endl; cout << “mobile2 : ” << k.mobile << endl; cout << “ID3 : ” << chúng tôi << endl; cout << “name3 : ” << chúng tôi << endl; cout << “mobile3 : ” << l.mobile << endl; return 0; }

Example #2

Code:

int main(){ typedef unsigned int a; a p = 3, q = 5; std::cout << “p = ” << p << std::endl; std::cout << “q = ” << q << std::endl; return 1; }

Output:

Example #3

using namespace std; struct example { char *domain; int id; }; typedef int *pr; int main() { struct example eg; eg.domain = “Welcome To My Domain”; eg.id = 7879; cout << “Have a Nice day user for chhosing the domain: ” << eg.domain << ‘n’; cout << “Your User id is: ” << eg.id; pr pvar; return 0; }

Output:

In the above three examples, we used typedef in the different categories using the pointer concepts and the variables that have addressed the old and new ones.

Conclusion

In typedef is the specific reserved keyword area of the C++. It has a lot of pre-defined keywords used to implement the programming logic in the application. Here we used this keyword to mostly reduce the lines of codes and the memory areas also; we can use and edit the codes very clearly, so underlying the codes, it’s the must one for this keyword.

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How Json Works In Mongodb With Examples

Introduction to MongoDB JSON

MongoDB JSON is the lightweight interchange format; we can easily transfer MongoDB JSON from one system to other. Also, we can easily read and write the file; the abbreviated name of MongoDB JSON is JavaScript object notation. In MongoDB, high-level JSON has two entities. First is an object, and the second is an array; the object is nothing but the value pair collection, and the array is a list of order values; using these two entities, we can develop complete documents in MongoDB. While creating a JSON object is started with braces and then comes key and value.

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Syntax of MongoDB JSON

Given below is the syntax mentioned:

1. MongoDB JSON document structure syntax.

}

In the above syntax, field1 to fieldN contains the field which was we have used in the JSON documents.

Value1 to ValueN is the value of the JSON field.

Mongoexport –collection = collection_name –db = db_name –out = filename.JSON

In the above syntax, we are creating the dump file.

The parameter mongoexport is used to export the collection into the JSON file.

Collection parameter is used to export the specified collection into the file.

DB parameter is used to export the specified database collection into the file.

Out parameter is the default that we need to use when exporting any collection in MongoDB.

The filename is the name of the JSON dump file.

3. Import the MongoDB JSON file.

In the above syntax, we are importing the JSON dump file into the specified collection.

The parameter mongoimport is used for import the JSON file data.

The collection parameter is used to import the data into the specified collection from the file.

DB parameter is used to import the data into a specified database collected from the file.

How JSON Works in MongoDB?

It is the plain text which was written in JavaScript object notation. We can use it to send the data between one computer to another computer. The use of JSON in MongoDB is very easy; also, we can use the JavaScript built-in function to convert the JSON strings into the object of JavaScript’s.

There is two built-in functions:

JSON.parse ()

JSON. Stringify ()

It supports all the data types.

Below data type is supported by MongoDB JSON:

Number

Array

Boolean

String

It makes the notation of key-value pair using strings, and it will easily be exported and imported into the various tools. The important function of JSON is to transmit the data between web applications and servers. It is basically used the alternate of an XML, which is the language-independent data format. It has a UTF-8 string format. Thus, humans and machines both understand and read the data of files.

It provides a flexible database and schema design as compared to the tabular data model, which was used in relational database models. Basically, documents are polymorphic; the fields can vary from one document to another within the same collection. Using it, we have no need to create the structure of documents for the database. We can directly start our development without creating any structure.

Examples of MongoDB JSON

Different examples are mentioned below:

Example #1

Insert the data using string data types.

In the below example, we have inserted the string value name as ABC into the MongoDB_JSON collection. Thus, the name attribute shows the field, and the ABC string shows the value of the field.

Code:

db.MongoDB_JSON.find ().pretty ()

Output:

Example #2

Insert the data using numeric data types.

In the below example, we have inserted the numeric value emp_id as 101 into the MongoDB_JSON collection. Thus, the Emp_id attribute shows the field, and 101 integers are shown the value of a field.

Code:

Output:

Example #3

Insert the data using array data types.

In the below example, we have inserted the array value into the MongoDB_JSON collection. Therefore, we have to assign MongoDB_JSON the same name as the field and the value.

Code:

var MongoDB_JSON = ["MongoDB is NoSQL DB", "MySQL is OpenSource DB", "PostgreSQL is object RDBMS"] db.MongoDB_JSON.find ().pretty ()

Output:

Example #4

Insert the data using Boolean data types.

In the below example, we have inserted the Boolean value name as true and the middlename as false into the MongoDB_JSON collection. Name and middlename attribute shows the field, and true, false Boolean value shows the value of the field.

Code:

> db.MongoDB_JSON.find ().pretty ()

Output:

Example #5

Below example shows export MongoDB_JSON collection into the MongoDB_JSON. Json file.

After exporting the data into the JSON file, we can see this file using the cat command. This data comes in a human-readable format.

Code:

[[email protected] ~]# cat MongoDB_JSON. Json

Output:

Example #6

MongoDB import from the JSON file.

The below example shows that import the data into the Mongo_JSON_NEW collection from the MongoDB_JSON. Json file.

Code:

db.Mongo_JSON_NEW.find().pretty()

Output:

Conclusion

They have their multiple data types are available in MongoDB; using this datatype, we can insert the data into the collection. We can import the data into the collection from JSON file using mongoimport; we can also export the collected data into the JSON file using mongoexport.

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How To Translate Text In Excel With Examples?

Introduction to Excel Translate Function

Excel Translate is a powerful in-built function to convert any word or sentence into several languages. This tool is ideal for professionals working across different native languages.

Moreover, it facilitates effective communication by sharing documents with colleagues and business partners in multiple languages, enhancing readability and preventing confusion.

Where is the Translator in Excel?

In Excel, the “Translate” feature is available under the “Language” section of the “REVIEW.”

How to Translate in Excel?

Let us learn how to translate words and sentences from one language to another with the help of the following examples.

You can download this Translate Excel Template here – Translate Excel Template

Example #1

Step 2: Type the word you want to convert and select the”Fro” and“T” languages from the options. For example, type Today and select English in From and Hindi in the To section. The result will display automatically.

Note: The Swap option of the translator function can be used to interchange the To and From languages.

Note: You also directly select the cell you want to translate. The selected text will display automatically in the upper box. Then you have to choose the target language. Text is immediately translated into the target language, as shown below.

Example #2

Suppose you have the below data of some words in English, and you want to translate those words into another language like Chinese and French.

The result will be displayed in the menu as shown below.

Note: Remember that the translated words will only appear on the menu. You have to copy-paste the translated word into their respective cells.

Step 4: Repeat the same procedure for Chinese and French.

All the words are now translated into different languages, as shown above.

Example #3

You can also change a long sentence from one language to another. For example, there is a long sentence in English -“Hello, my name is David. I love cooking and listening to music. “You want to translate this sentence into French.

Type the above sentence in the From section and select French in To. The output is shown in the image below.

How to Install Functions Translator Add-Ins

Follow the below procedure to install the Functions translator in Excel.

The Function Translator is installed successfully. It will appear at the bottom, as shown below.

The function Translator will appear in the Home tab. It will have two options: Reference and Translator.

A language settings dialog will open. This dialog box allows you to select From and To

Step 8: Select From and To languages.

To is the language you know and are familiar with, and From is the language you want to find or translate. Note: You can change the language anytime through the Preferences pane. The swipe button, represented in an up-down arrow, allows you to switch the language easily.

For example, if you know French and want to translate Excel formulas into English. You can select English in the From and French in the To, as shown below.

Step 10: Enter the formula you want to translate.

Things to Remember

The shortcut to open the translate window is Alt + Shift + F7Excel’s’s translator result may be prone to errors and inconsistenciesExcel’s translator is mainly suitable for personal understanding.

The translated text or sentence may not be ideal for professional use.

You should have an internet connection to access the Excel function translator.

You can search for the Excel function under the dictionary of Function Translator.

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