Answer:
Verbatim Identifier
Explanation:
- Verbatim Identifier contains @ symbol as a prefix by which enables you to use reserved words of a programming language as identifier. For example the keywords like int, double, goto, char, else, while, for, float etc can be used as strings or variable names if @ symbol is added before these words e.g. @char, @while, @void, @int etc.
- The compiler of a language will recognize such identifiers as verbatim identifiers and compiles them without giving an error that these are reserved words.
- Verbatim identifier is used for program that is written in other languages and those languages don't have same reserved words.
- For example: cout<<"use of verbatim identifier";<<@for; In this statement, for keyword which is used in for loop can be used as an identifier with @ in the prefix.
- The escape sequences if used with @ symbol in prefix then they are interpreted in a different way. For example in C#
string a = "\\C:\torrent\new\file";
Console.WriteLine(a);
This statement will give the following output:
\C: orrent
ewfile
This means that the \t in the start of torrent and \n in the start of new word is taken as an escape sequence and output displayed is giving tab space because of \t and prints the rest of the words in new line because of \n escape sequence.
Now lets use this with the @ symbol
string a = @"\\C:\torrent\new\file";
Console.WriteLine(a);
The output will now be:
\\C:\torrent\new\file
\t and \n are not taken as escape sequences by the compiler because of @ symbol.
Answer:
b. lw $t4, 4($t0)
c. add $t3, $t5, $t4
Explanation:
Pipeline hazard prevents other instruction from execution while one instruction is already in process. There is pipeline bubbles through which there is break in the structural hazard which preclude data. It helps to stop fetching any new instruction during clock cycle.
r packages include sample datasets. they also include reusable r functions and documentation about how to use the functions.
The above statement is <u>True</u>.
What are R packages?
<u>The statistical programming language R has extensions </u>known as R packages. Users of R can install R packages by <u>accessing a centralized software repository like CRAN</u>, which often contains code, data, and documentation in a common collection format.
The "library" directory is <u>where R </u><u>packages </u><u>are kept in the R environment</u>. During installation, R automatically install a number of packages. Later, when additional packages are required for a particular task, they are added.
To learn more about R packages, use the link given
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