A regular expression is written in a very specific language, and its purpose is to define a text pattern. One of the biggest uses of regular expressions is to detect specific text patterns within a larger text file, such as a log file. For example, you might write a regex to look for the specific text that represents an HTTP 500 error in a web server log file or to look for email addresses in an SMTP server log file. In this assignment your task is to parse an industrial benchmark and extract the following patterns: Read bench.txt file as input. Extract all the rows with the following pattern from the text file (by using regex): Pattern: - - instſdigit_number] [MACRO NAME] + PLACED ( [X] [Y] ) [DIRECTION] ; For example: - inst2591 NAND4X2 + PLACED ( 100000 71820 ) N ; In this example: Digit_number: 2591 MACRO Name: NAND4X2 X: 100000 Y: 71820 Direction: N

Microsoft Visual C#
7th Edition
ISBN:9781337102100
Author:Joyce, Farrell.
Publisher:Joyce, Farrell.
Chapter5: Looping
Section: Chapter Questions
Problem 12E
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A regular expression is written in a very specific language, and its purpose is to define a text
pattern. One of the biggest uses of regular expressions is to detect specific text patterns within a
larger text file, such as a log file. For example, you might write a regex to look for the specific
text that represents an HTTP 500 error in a web server log file or to look for email addresses in
an SMTP server log file. In this assignment your task is to parse an industrial benchmark and
extract the following patterns:
Read bench.txt file as input.
Extract all the rows with the following pattern from the text file (by using regex):
Pattern:
- - inst[digit_number] [MACRO NAME] + PLACED ( [X] [Y] ) [DIRECTION] ;
For example:
- inst2591 NAND4X2 + PLACED ( 100000 71820 ) N ;
In this example:
Digit_number: 2591
MACRO Name: NAND4X2
X: 100000
Y: 71820
Direction: N
Transcribed Image Text:A regular expression is written in a very specific language, and its purpose is to define a text pattern. One of the biggest uses of regular expressions is to detect specific text patterns within a larger text file, such as a log file. For example, you might write a regex to look for the specific text that represents an HTTP 500 error in a web server log file or to look for email addresses in an SMTP server log file. In this assignment your task is to parse an industrial benchmark and extract the following patterns: Read bench.txt file as input. Extract all the rows with the following pattern from the text file (by using regex): Pattern: - - inst[digit_number] [MACRO NAME] + PLACED ( [X] [Y] ) [DIRECTION] ; For example: - inst2591 NAND4X2 + PLACED ( 100000 71820 ) N ; In this example: Digit_number: 2591 MACRO Name: NAND4X2 X: 100000 Y: 71820 Direction: N
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