The grep utility searches text files for patterns and prints matching lines. It has two versions: /usr/bin/grep which uses basic regular expressions to match patterns, and /usr/xpg4/bin/grep which allows full regular expressions with options like -E. Both versions accept options like -c to count matches or -i for case-insensitive searching and print file names or line numbers for context.
101 3.7 search text files using regular expressionsAcácio Oliveira
The document provides information about using regular expressions and common Linux utilities like grep and sed to search text files. It covers the basic syntax and options for grep and sed, examples of how to use them to search and make substitutions in files, and an overview of common regular expression metacharacters. The key topics discussed are using grep to search for patterns in files, the s command and flags in sed for substitutions, and metacharacters in regular expressions like *, ., ^, $, [], etc. and what they are used to match in text searches.
The document discusses various shell scripting tools including grep, sed, and awk. It provides descriptions and examples of how to use grep to search for patterns in files using regular expressions. It also covers sed for stream editing to find and replace text. Finally, it discusses awk for text processing and programming with actions based on patterns in fields and records.
This document provides 15 examples of using the Linux grep command to search files for text patterns. Some key examples include searching for a string in single or multiple files, ignoring case, using regular expressions to match patterns, displaying lines before/after/around matches, inverting matches, counting matches, and highlighting matched text. The examples demonstrate many useful grep options for finding text in files.
This document provides 15 examples of practical grep command usage in Linux/UNIX. It begins with basic uses like searching for a string in a single file or multiple files. It then demonstrates more advanced features such as ignoring case, using regular expressions to match patterns, highlighting search results, counting/inverting matches, and displaying line numbers. Overall, the examples progress from introductory to more complex uses of grep flags and operations to help both new and experienced users better utilize this powerful search tool.
This document provides 15 examples of using the grep command in Linux. Some key examples include:
1) Searching for a string in a single file or multiple files.
2) Performing case-insensitive searches with grep -i.
3) Using regular expressions and modifiers like ?, *, + to control matching.
4) Finding full words with grep -w, or lines before/after a match with grep -A, -B, and -C.
101 3.7 search text files using regular expressionsAcácio Oliveira
This document discusses using regular expressions and utilities like grep and sed to search text files. It provides examples of common regular expression metacharacters like *, ., ^, $, [], etc. and describes how grep and sed can be used to search files using these patterns. Sed can perform search and replace operations on files and streams while grep searches for patterns only.
101 3.7 search text files using regular expressionsAcácio Oliveira
This document discusses using regular expressions and utilities like grep and sed to search text files. It provides examples of common regular expression metacharacters like *, ., ^, $, [], etc. and describes how grep and sed can be used to search for patterns in files and make substitutions using regular expressions. Key tools discussed are grep, sed, and common options for searching, substituting, and addressing lines when using sed.
This document provides an overview of various Linux text processing tools including:
- Tools for extracting text from files like head, tail, grep, cut
- Tools for analyzing text like wc, sort, diff, patch
- Tools for manipulating text like tr, sed, and awk
It describes the basic usage and functions of each tool along with examples.
101 3.7 search text files using regular expressionsAcácio Oliveira
The document provides information about using regular expressions and common Linux utilities like grep and sed to search text files. It covers the basic syntax and options for grep and sed, examples of how to use them to search and make substitutions in files, and an overview of common regular expression metacharacters. The key topics discussed are using grep to search for patterns in files, the s command and flags in sed for substitutions, and metacharacters in regular expressions like *, ., ^, $, [], etc. and what they are used to match in text searches.
The document discusses various shell scripting tools including grep, sed, and awk. It provides descriptions and examples of how to use grep to search for patterns in files using regular expressions. It also covers sed for stream editing to find and replace text. Finally, it discusses awk for text processing and programming with actions based on patterns in fields and records.
This document provides 15 examples of using the Linux grep command to search files for text patterns. Some key examples include searching for a string in single or multiple files, ignoring case, using regular expressions to match patterns, displaying lines before/after/around matches, inverting matches, counting matches, and highlighting matched text. The examples demonstrate many useful grep options for finding text in files.
This document provides 15 examples of practical grep command usage in Linux/UNIX. It begins with basic uses like searching for a string in a single file or multiple files. It then demonstrates more advanced features such as ignoring case, using regular expressions to match patterns, highlighting search results, counting/inverting matches, and displaying line numbers. Overall, the examples progress from introductory to more complex uses of grep flags and operations to help both new and experienced users better utilize this powerful search tool.
This document provides 15 examples of using the grep command in Linux. Some key examples include:
1) Searching for a string in a single file or multiple files.
2) Performing case-insensitive searches with grep -i.
3) Using regular expressions and modifiers like ?, *, + to control matching.
4) Finding full words with grep -w, or lines before/after a match with grep -A, -B, and -C.
101 3.7 search text files using regular expressionsAcácio Oliveira
This document discusses using regular expressions and utilities like grep and sed to search text files. It provides examples of common regular expression metacharacters like *, ., ^, $, [], etc. and describes how grep and sed can be used to search files using these patterns. Sed can perform search and replace operations on files and streams while grep searches for patterns only.
101 3.7 search text files using regular expressionsAcácio Oliveira
This document discusses using regular expressions and utilities like grep and sed to search text files. It provides examples of common regular expression metacharacters like *, ., ^, $, [], etc. and describes how grep and sed can be used to search for patterns in files and make substitutions using regular expressions. Key tools discussed are grep, sed, and common options for searching, substituting, and addressing lines when using sed.
This document provides an overview of various Linux text processing tools including:
- Tools for extracting text from files like head, tail, grep, cut
- Tools for analyzing text like wc, sort, diff, patch
- Tools for manipulating text like tr, sed, and awk
It describes the basic usage and functions of each tool along with examples.
3.7 search text files using regular expressionsAcácio Oliveira
The document discusses using regular expressions and utilities like grep and sed to search text files. It provides examples of searching and making substitutions in files using sed syntax like s/regex/replacement/flags. It also covers grep options like -E, -F and -G for different regex types and describes basic regex metacharacters like *, ., ^, $, [], {} for matching patterns.
egrep is a pattern searching command that treats patterns as extended regular expressions like grep -E. It prints lines matching the pattern from one or more files, including the file names. Options include -c to count matching lines, -v for non-matching lines, -i for case-insensitive matching, and -l to print only file names with matches.
This document contains information about UNIX and Shell Programming. It discusses various grep options such as -i to ignore case, -v to not display matching lines, and -n to display line numbers. It also discusses sed, a stream editor tool that can perform text transformations by combining addresses and actions. Common sed actions include print, insert, delete, and substitute text. Sed supports basic regular expressions. The document also provides an overview of the for loop syntax in shell programming, noting that the list it iterates over can come from variables, command substitution, wildcards, or positional parameters.
grep is used to search for strings and regular expressions in files and outputs. It has options like -i for case-insensitive searching, -v to return non-matching lines, and -r for recursive searching. cut filters out fields or columns delimited by a character like a colon. sort sorts data alphabetically or numerically with options like -r to reverse the sort order. uniq searches for duplicate lines and has options like -c to output a count of occurrences. tr translates characters between two given sets on a character-to-character basis. tail and head print the end or beginning of a file, with options to specify the number of lines.
This document provides summaries of common digital forensics tools including grep/egrep, sort, awk, sed, uniq, date, and Windows findstr. It explains what each tool is used for and provides examples of basic usage and useful flags. The overall purpose is to serve as a quick reference guide for forensic analysts to help with computer investigations.
When performing an investigation it is helpful to be reminded of the powerful options available to the investigator. This document is aimed to be a reference to the tools that could be used.
This document provides an overview of regular expressions (regex). It defines regex as patterns that define classes of strings. Regex are used by utilities like grep, sed, awk, vi and emacs to search for patterns in text. The document discusses the syntax of regex like alternation, grouping and quantification. It provides examples of regex patterns and explains how commands like grep can be used with regex to search files.
This lecture discusses the concept of Regular Expressions along with its usage in different tools such as grep, sed, and awk
Check the other Lectures and courses in
http://Linux4EnbeddedSystems.com
or Follow our Facebook Group at
- Facebook: @LinuxforEmbeddedSystems
Lecturer Profile:
- https://www.linkedin.com/in/ahmedelarabawy
This document discusses strings in Python. It covers how strings are treated as a contiguous series of characters that can be indexed, sliced, concatenated, appended, and multiplied. It also discusses that strings are immutable in Python. Various string methods and functions are described, including formatting strings using the % operator. The document also covers regular expressions for string pattern matching and manipulation using the re module.
The document discusses the grep command in Linux and its uses for searching files for text patterns. Grep searches files for lines containing a specified pattern. Variants egrep and fgrep are also available. The document provides examples of using grep to search a file called "superheroes.txt" for various words and regular expressions. It also lists some basic regular expression syntax supported by grep like wildcards, character classes, and alternation.
Chapter 3: Introduction to Regular Expressionazzamhadeel89
This document provides an overview of regular expressions and their use. It discusses common regular expression commands like grep and egrep. It explains various regular expression metacharacters such as period, question mark, asterisk, plus, and brackets for character classes. It also covers grouping, back references, quantifiers, anchors and word boundaries. Examples are provided to illustrate how each concept works in matching text patterns.
This document discusses regular expressions (regexes) in Perl programming. It provides three examples that demonstrate extracting date values from a string using different regex techniques. It then discusses some key regex concepts like quantifiers, grouping, anchors, character classes and more. Code examples are provided to illustrate each concept. The goal is to help readers better understand how to leverage the powerful regex engine in Perl to perform complex text matching and manipulation tasks.
Bt0067 c programming and data structures2Techglyphs
The document discusses various data structures and file input/output functions in C programming. It defines pointers and their advantages, describes the fread() function syntax, differentiates between linear and nonlinear data structures, discusses stack applications and operations, defines linked lists and their operations, and provides examples for each topic.
This document provides an introduction to regular expressions (RegEx). It explains that RegEx allows you to find, match, compare or replace text patterns. It then discusses the basic building blocks of RegEx, including characters, character classes, quantifiers, and assertions. It provides several examples of RegEx patterns to match names, words, ports numbers, and other patterns. It concludes with an overview of common RegEx match types like beginning/end of line, word boundaries, grouping, alternatives, and repetition.
preg_match searches a subject string for a regular expression pattern and returns information about matches. It returns 1 if the pattern matches or 0 if not. The matches are stored in the $matches array parameter. preg_replace searches and replaces using a regular expression pattern and replacement string. It returns the replaced string or array. preg_quote escapes regular expression characters in a string.
This document provides an overview of regular expressions in Python. It defines regular expressions as sequences of characters used to search for patterns in strings. The re module allows using regular expressions in Python programs. Metacharacters like [], ., ^, $, *, + extend the matching capabilities of regular expressions beyond basic text. Examples demonstrate using re functions like search and special characters to extract lines from files based on patterns.
This document provides an overview of scripting and the shell. It discusses shell basics including editing commands and setting editing modes. It covers pipes and redirection, variables and quoting, common filter commands like cut, sort, uniq, and wc. It also discusses the tee, head, tail, grep, bash scripting, regular expressions, Perl programming including variables, arrays, regular expressions and input/output. Finally, it briefly introduces Python scripting.
This document provides information on handling files under Unix. It discusses what files are, Unix filenames and conventions, and important Unix commands and tools for working with files, including cat, head, tail, cut, paste, uniq, tr, wc, sort, grep, egrep, fgrep, and tar. Special features like I/O redirection, piping, and standard files are also covered.
This document provides information on handling files under Unix. It discusses what files are, Unix filenames and conventions, and important Unix commands and tools for working with files, including cat, head, tail, cut, paste, uniq, tr, wc, sort, grep, egrep, fgrep, and tar. Special features like I/O redirection, piping, and standard files are also covered.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
3.7 search text files using regular expressionsAcácio Oliveira
The document discusses using regular expressions and utilities like grep and sed to search text files. It provides examples of searching and making substitutions in files using sed syntax like s/regex/replacement/flags. It also covers grep options like -E, -F and -G for different regex types and describes basic regex metacharacters like *, ., ^, $, [], {} for matching patterns.
egrep is a pattern searching command that treats patterns as extended regular expressions like grep -E. It prints lines matching the pattern from one or more files, including the file names. Options include -c to count matching lines, -v for non-matching lines, -i for case-insensitive matching, and -l to print only file names with matches.
This document contains information about UNIX and Shell Programming. It discusses various grep options such as -i to ignore case, -v to not display matching lines, and -n to display line numbers. It also discusses sed, a stream editor tool that can perform text transformations by combining addresses and actions. Common sed actions include print, insert, delete, and substitute text. Sed supports basic regular expressions. The document also provides an overview of the for loop syntax in shell programming, noting that the list it iterates over can come from variables, command substitution, wildcards, or positional parameters.
grep is used to search for strings and regular expressions in files and outputs. It has options like -i for case-insensitive searching, -v to return non-matching lines, and -r for recursive searching. cut filters out fields or columns delimited by a character like a colon. sort sorts data alphabetically or numerically with options like -r to reverse the sort order. uniq searches for duplicate lines and has options like -c to output a count of occurrences. tr translates characters between two given sets on a character-to-character basis. tail and head print the end or beginning of a file, with options to specify the number of lines.
This document provides summaries of common digital forensics tools including grep/egrep, sort, awk, sed, uniq, date, and Windows findstr. It explains what each tool is used for and provides examples of basic usage and useful flags. The overall purpose is to serve as a quick reference guide for forensic analysts to help with computer investigations.
When performing an investigation it is helpful to be reminded of the powerful options available to the investigator. This document is aimed to be a reference to the tools that could be used.
This document provides an overview of regular expressions (regex). It defines regex as patterns that define classes of strings. Regex are used by utilities like grep, sed, awk, vi and emacs to search for patterns in text. The document discusses the syntax of regex like alternation, grouping and quantification. It provides examples of regex patterns and explains how commands like grep can be used with regex to search files.
This lecture discusses the concept of Regular Expressions along with its usage in different tools such as grep, sed, and awk
Check the other Lectures and courses in
http://Linux4EnbeddedSystems.com
or Follow our Facebook Group at
- Facebook: @LinuxforEmbeddedSystems
Lecturer Profile:
- https://www.linkedin.com/in/ahmedelarabawy
This document discusses strings in Python. It covers how strings are treated as a contiguous series of characters that can be indexed, sliced, concatenated, appended, and multiplied. It also discusses that strings are immutable in Python. Various string methods and functions are described, including formatting strings using the % operator. The document also covers regular expressions for string pattern matching and manipulation using the re module.
The document discusses the grep command in Linux and its uses for searching files for text patterns. Grep searches files for lines containing a specified pattern. Variants egrep and fgrep are also available. The document provides examples of using grep to search a file called "superheroes.txt" for various words and regular expressions. It also lists some basic regular expression syntax supported by grep like wildcards, character classes, and alternation.
Chapter 3: Introduction to Regular Expressionazzamhadeel89
This document provides an overview of regular expressions and their use. It discusses common regular expression commands like grep and egrep. It explains various regular expression metacharacters such as period, question mark, asterisk, plus, and brackets for character classes. It also covers grouping, back references, quantifiers, anchors and word boundaries. Examples are provided to illustrate how each concept works in matching text patterns.
This document discusses regular expressions (regexes) in Perl programming. It provides three examples that demonstrate extracting date values from a string using different regex techniques. It then discusses some key regex concepts like quantifiers, grouping, anchors, character classes and more. Code examples are provided to illustrate each concept. The goal is to help readers better understand how to leverage the powerful regex engine in Perl to perform complex text matching and manipulation tasks.
Bt0067 c programming and data structures2Techglyphs
The document discusses various data structures and file input/output functions in C programming. It defines pointers and their advantages, describes the fread() function syntax, differentiates between linear and nonlinear data structures, discusses stack applications and operations, defines linked lists and their operations, and provides examples for each topic.
This document provides an introduction to regular expressions (RegEx). It explains that RegEx allows you to find, match, compare or replace text patterns. It then discusses the basic building blocks of RegEx, including characters, character classes, quantifiers, and assertions. It provides several examples of RegEx patterns to match names, words, ports numbers, and other patterns. It concludes with an overview of common RegEx match types like beginning/end of line, word boundaries, grouping, alternatives, and repetition.
preg_match searches a subject string for a regular expression pattern and returns information about matches. It returns 1 if the pattern matches or 0 if not. The matches are stored in the $matches array parameter. preg_replace searches and replaces using a regular expression pattern and replacement string. It returns the replaced string or array. preg_quote escapes regular expression characters in a string.
This document provides an overview of regular expressions in Python. It defines regular expressions as sequences of characters used to search for patterns in strings. The re module allows using regular expressions in Python programs. Metacharacters like [], ., ^, $, *, + extend the matching capabilities of regular expressions beyond basic text. Examples demonstrate using re functions like search and special characters to extract lines from files based on patterns.
This document provides an overview of scripting and the shell. It discusses shell basics including editing commands and setting editing modes. It covers pipes and redirection, variables and quoting, common filter commands like cut, sort, uniq, and wc. It also discusses the tee, head, tail, grep, bash scripting, regular expressions, Perl programming including variables, arrays, regular expressions and input/output. Finally, it briefly introduces Python scripting.
This document provides information on handling files under Unix. It discusses what files are, Unix filenames and conventions, and important Unix commands and tools for working with files, including cat, head, tail, cut, paste, uniq, tr, wc, sort, grep, egrep, fgrep, and tar. Special features like I/O redirection, piping, and standard files are also covered.
This document provides information on handling files under Unix. It discusses what files are, Unix filenames and conventions, and important Unix commands and tools for working with files, including cat, head, tail, cut, paste, uniq, tr, wc, sort, grep, egrep, fgrep, and tar. Special features like I/O redirection, piping, and standard files are also covered.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
1. User Commands grep ( 1 )
NAME
grep – search a file for a pattern
SYNOPSIS
/usr/bin/grep [-bchilnsvw] limited-regular-expression [filename...]
/usr/xpg4/bin/grep [-E -F] [-c -l -q] [-bhinsvwx] -e pattern_list... [-f pattern_file]... [file...]
/usr/xpg4/bin/grep [-E -F] [-c -l -q] [-bhinsvwx] [-e pattern_list...] -f pattern_file... [file...]
/usr/xpg4/bin/grep [-E -F] [-c -l -q] [-bhinsvwx] pattern [file...]
DESCRIPTION
The grep utility searches text files for a pattern and prints all lines that contain that pattern. It uses a
compact non-deterministic algorithm.
Be careful using the characters $, ∗, [, ˆ, , (, ), and in the pattern_list because they are also meaning-
ful to the shell. It is safest to enclose the entire pattern_list in single quotes ’ . . . ’.
If no files are specified, grep assumes standard input. Normally, each line found is copied to standard
output. The file name is printed before each line found if there is more than one input file.
/usr/bin/grep
The /usr/bin/grep utility uses limited regular expressions like those described on the regexp(5) manual
page to match the patterns.
/usr/xpg4/bin/grep
The options -E and -F affect the way /usr/xpg4/bin/grep interprets pattern_list. If -E is specified,
/usr/xpg4/bin/grep interprets pattern_list as a full regular expression (see -E for description). If -F is
specified, grep interprets pattern_list as a fixed string. If neither are specified, grep interprets
pattern_list as a basic regular expression as described on regex(5) manual page.
OPTIONS
The following options are supported for both /usr/bin/grep and /usr/xpg4/bin/grep:
-b Precede each line by the block number on which it was found. This can be useful in locating
block numbers by context (first block is 0).
-c Print only a count of the lines that contain the pattern.
-h Prevents the name of the file containing the matching line from being appended to that line.
Used when searching multiple files.
-i Ignore upper/lower case distinction during comparisons.
-l Print only the names of files with matching lines, separated by NEWLINE characters. Does not
repeat the names of files when the pattern is found more than once.
-n Precede each line by its line number in the file (first line is 1).
-s Suppress error messages about nonexistent or unreadable files.
-v Print all lines except those that contain the pattern.
-w Search for the expression as a word as if surrounded by < and >.
/usr/xpg4/bin/grep
The following options are supported for /usr/xpg4/bin/grep only:
-e pattern_list
Specify one or more patterns to be used during the search for input. Patterns in pattern_list must
be separated by a NEWLINE character. A null pattern can be specified by two adjacent newline
characters in pattern_list. Unless the -E or -F option is also specified, each pattern will be treated
as a basic regular expression. Multiple -e and -f options are accepted by grep. All of the
specified patterns are used when matching lines, but the order of evaluation is unspecified.
-E Match using full regular expressions. Treat each pattern specified as a full regular expression. If
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2. User Commands grep ( 1 )
any entire full regular expression pattern matches an input line, the line will be matched. A null
full regular expression matches every line. Each pattern will be interpreted as a full regular
expression as described on the regex(5) manual page, except for ( and ), and including:
1. A full regular expression followed by + that matches one or more occurrences of the full reg-
ular expression.
2. A full regular expression followed by ? that matches 0 or 1 occurrences of the full regular
expression.
3. Full regular expressions separated by or by a new-line that match strings that are matched
by any of the expressions.
4. A full regular expression that may be enclosed in parentheses ( ) for grouping.
The order of precedence of operators is [ ], then ∗ ? +, then concatenation, then and new-line.
-f pattern_file
Read one or more patterns from the file named by the path name pattern_file. Patterns in
pattern_file are terminated by a NEWLINE character. A null pattern can be specified by an
empty line in pattern_file. Unless the -E or -F option is also specified, each pattern will be
treated as a basic regular expression.
-F Match using fixed strings. Treat each pattern specified as a string instead of a regular expression.
If an input line contains any of the patterns as a contiguous sequence of bytes, the line will be
matched. A null string matches every line. See fgrep(1) for more information.
-q Quiet. Do not write anything to the standard output, regardless of matching lines. Exit with zero
status if an input line is selected.
-x Consider only input lines that use all characters in the line to match an entire fixed string or reg-
ular expression to be matching lines.
OPERANDS
The following operands are supported:
file A path name of a file to be searched for the patterns. If no file operands are specified, the stan-
dard input will be used.
/usr/bin/grep
pattern
Specify a pattern to be used during the search for input.
/usr/xpg4/bin/grep
pattern
Specify one or more patterns to be used during the search for input. This operand is treated as if
it were specified as -epattern_list.
USAGE
The -epattern_list option has the same effect as the pattern_list operand, but is useful when pattern_list
begins with the hyphen delimiter. It is also useful when it is more convenient to provide multiple pat-
terns as separate arguments.
Multiple -e and -f options are accepted and grep will use all of the patterns it is given while matching
input text lines. (Note that the order of evaluation is not specified. If an implementation finds a null
string as a pattern, it is allowed to use that pattern first, matching every line, and effectively ignore any
other patterns.)
The -q option provides a means of easily determining whether or not a pattern (or string) exists in a
group of files. When searching several files, it provides a performance improvement (because it can quit
as soon as it finds the first match) and requires less care by the user in choosing the set of files to
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3. User Commands grep ( 1 )
supply as arguments (because it will exit zero if it finds a match even if grep detected an access or read
error on earlier file operands).
Large File Behavior
See largefile(5) for the description of the behavior of grep when encountering files greater than or equal
to 2 Gbyte ( 2
31
bytes).
EXAMPLES
Example 1: Finding all uses of a word
To find all uses of the word "Posix" (in any case) in the file text.mm, and write with line numbers:
example% /usr/bin/grep -i -n posix text.mm
Example 2: Finding all empty lines
To find all empty lines in the standard input:
example% /usr/bin/grep ˆ$
or
example% /usr/bin/grep -v .
Example 3: Finding lines containing strings
Both of the following commands print all lines containing strings abc or def or both:
example% /usr/xpg4/bin/grep -E ’abc def’
example% /usr/xpg4/bin/grep -F ’abc def’
Example 4: Finding lines with matching strings
Both of the following commands print all lines matching exactly abc or def:
example% /usr/xpg4/bin/grep -E ’ˆabc$ ˆdef$’
example% /usr/xpg4/bin/grep -F -x ’abc def’
ENVIRONMENT VARIABLES
See environ(5) for descriptions of the following environment variables that affect the execution of grep:
LC_COLLATE, LC_CTYPE, LC_MESSAGES, and NLSPATH.
EXIT STATUS
The following exit values are returned:
0 One or more matches were found.
1 No matches were found.
2 Syntax errors or inaccessible files (even if matches were found).
ATTRIBUTES
See attributes(5) for descriptions of the following attributes:
/usr/bin/grep
_
____________________________________________________________________________________
ATTRIBUTE TYPE ATTRIBUTE VALUE
_
____________________________________________________________________________________
Availability SUNWcsu
_
____________________________________________________________________________________
CSI enabled
_
____________________________________________________________________________________
/usr/xpg4/bin/grep
_
____________________________________________________________________________________
ATTRIBUTE TYPE ATTRIBUTE VALUE
_
____________________________________________________________________________________
Availability SUNWxcu4
_
____________________________________________________________________________________
CSI enabled
_
____________________________________________________________________________________
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4. User Commands grep ( 1 )
SEE ALSO
egrep(1), fgrep(1), sed(1), sh(1), attributes(5), environ(5), largefile(5), regex(5), regexp(5), XPG4(5)
NOTES
/usr/bin/grep
Lines are limited only by the size of the available virtual memory. If there is a line with embedded
nulls, grep will only match up to the first null; if it matches, it will print the entire line.
/usr/xpg4/bin/grep
The results are unspecified if input files contain lines longer than LINE_MAX bytes or contain binary
data. LINE_MAX is defined in /usr/include/limits.h.
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