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→INVESTIGATION 1: SIMPLE & COMPLEX REGULAR EXPRESSIONS
# '''Login''' to your matrix account.<br><br>
# Issue a Linux command to '''confirm''' you are located in your '''home''' directory.<br><br>The '''wget''' command is used to download files from the Internet to your shell.<br>This will be useful to download '''text files''' and '''data files''' that we will be using in this tutorial.<br><br># Issue the following linux Linux command to '''downloadcopy''' a text file to your '''home''' directory:<br><span style="color:blue;font-weight:bold;font-family:courier;">wget <nowiki>https://ict.senecacollege.ca/cp ~murray.saulosl640/uli101tutorial9/textfile1.txt</nowiki>.</span><br><br>
# View the contents of the '''textfile1.txt''' file using the '''more''' command see what data is contained in this file.<br><br>Although there are several Linux commands that use regular expressions,<br>we will be using the '''grep''' command for this investigation.<br><br>[[Image:regexps-1.png|thumb|right|250px|Output of '''grep''' command matching simple regular expression "'''the'''" (only lowercase). Notice the pattern matches larger words like "'''their'''" or "'''them'''".]]
#Issue the following Linux command to match the pattern '''the''' within '''textfile1.txt''':<br><span style="color:blue;font-weight:bold;font-family:courier;">grep "the" textfile1.txt</span><br><br>Take a few moments to view the output and observe the matched patterns.<br><br>
# Issue the following Linux command to create the '''regexps''' directory: <span style="color:blue;font-weight:bold;font-family:courier;">mkdir ~/regexps</span><br><br>
# Change to the '''regexps''' directory and confirm that you have moved to this directory.<br><br>
# First, issue the following Linux command to download copy another data file called '''numbers1.dat''':<br><span style="color:blue;font-weight:bold;font-family:courier;">wget <nowiki>https://ict.senecacollege.ca/cp ~murray.saulosl640/uli101tutorial9/numbers1.dat</nowiki>.</span><br><br>
# View the contents of the '''numbers.dat''' file using the '''more''' command and quickly view the contents of this file.<br>You should notice '''valid''' and '''invalid''' numbers contained in this file. When finished, exit the more command.<br><br>
# Issue the following linux pipeline command to display only '''whole''' numbers (i.e. no '''+''' or '''-''' sign):<br><span style="color:blue;font-weight:bold;font-family:courier;">grep "^[0-9]*$" numbers1.dat | tee faulty.txt</span><br><br>You may have noticed that the command '''does not entirely work'''. You may notice an '''empty line'''<br>(which is NOT a whole number). This occurs since the * regular expression symbol represents<br>ZERO or MORE occurrences of a number. You can use an additional numeric character class<br>with the * regular expression symbol to search for one or more occurrences of a number.<br><br>
# Issue the following Linux pipeline command to display <u>only</u> '''signed''' integers:<br><span style="color:blue;font-weight:bold;font-family:courier;">grep "^[+-][0-9][0-9]*$" numbers1.dat | tee signed.txt</span><br><br>What did you notice? Positive and negative numbers display, not '''unsigned''' numbers.<br><br>[[Image:regexps-8.png|thumb|right|300px|Simultaneous '''anchoring''' of regular expressions using '''character class''' and '''zero or more occurrences''' to display '''signed''' and '''unsigned''' integers.]]
# Issue the following Linux pipeline command to display '''signed''' or '''unsigned integers''':<br><span style="color:blue;font-weight:bold;font-family:courier;">grep "^[+-]*[0-9][0-9]*$" numbers1.dat | tee all.txt</span><br><br>Did this command work?<br><br>
# Issue the following command to check that you created those hard links: <br><span style="color:blue;font-weight:bold;font-family:courier;">~uli101osl640/week9-check-1</span><br><br>If you encounter errors, then view the feedback to make corrections, and then re-run the checking script. If you receive a congratulation message that there are no errors, then proceed with this tutorial.<br><br>You can also use the '''grep''' command using ''regular expression'' as a '''filter''' in pipeline commands.<br><br>
# Issue the following Linux pipeline command:<br><span style="color:blue;font-weight:bold;font-family:courier;">ls | grep "[0-9].*dat$"</span><br><br>What did this pipeline display?<br><br>
# Issue the following Linux pipeline command:<br><span style="color:blue;font-weight:bold;font-family:courier;">ls | grep "[a-z].*txt$"</span><br><br>What did this pipeline display?<br><br>
