It may help to understand the program, so I'll show the last 10 lines of the output here: Print the hash, with the results sorted by the hash value.Put the word and the word frequency into the Hash (the word is the key, the frequency is the value).Split each line into words (words separated by spaces).Read each line in the file, one line at a time.Here's a little more discussion of the program: # sort the hash by value, and then print it in this sorted order The_file='/Users/Al/DD/Ruby/GettysburgAddress.txt' # a file appears in that file (i.e., the frequency of that word). That it, we want to cut the string every place where we find an empty. # a sample ruby program that determines the number of times each word in In the first example we first split the string using the empty string as separator. Without any further ado here is the Ruby "word frequency" program: At the end of the program I print out the hash information, with the printout sorted in order by the hash value. The program opens a file, then adds each word in the file to a hash, where they word is the key and the number of occurrences of the word is the value.
I wrote a little Ruby program to help me analyze this word frequency. (I'll skip the details of my theory here, but it involves looking at how often we re-type words compared to how often we use new dictionary-based words beginning with the same characters.)
The first part of this is looking at documents I've written in the past, and analyzing the frequency of word occurrences within those documents. In support of this effort I'm looking at different algorithms to best predict the word the user next wants to type. Hadoop-2.6.5/etc/hadoop/hadoop-policy.After a fairly large number of emails I've started working on my type-ahead, predictive text editor project. Hadoop-2.6.5/etc/hadoop/hadoop-policy.xml: ACL for AdminOperationsProtocol. require 'docx' Create a Docx::Document object for our existing docx file doc Docx :: Document.open('tables.docx') Iterate over each table do table lastrow Copy last row and insert a new one before last row newrow py newrow.insertbefore(lastrow) Substitute text. Hadoop-2.6.5/etc/hadoop/hadoop-policy.xml: The ACL is a comma-separated list of user and group names. Hadoop-2.6.5/etc/hadoop/core-site.xml:&tl ?xml-stylesheet type="text/xsl" href="configuration.xsl"?> sub and gsub modify the string on which they are called whereas the sub and gsub returns a new string, leaving the original unmodified.
#Ruby find word in file code#
Running the above code gives us the following result − hadoop-2.6.5/etc/hadoop/capacity-scheduler.xml: All of these methods perform a search-and-replace operation using a Regexp pattern. In the below example we are searching for files containing either the word config or the word comma. We can also search for multiple words by using the egrep command with | character. Hadoop-2.6.5/sbin/hadoop-daemon.sh:done Using egrep –r 'word1|word2'
Hadoop-2.6.5/sbin/mr-jobhistory-daemon.sh: done Hadoop-2.6.5/sbin/refresh-namenodes.sh: echo "Refresh of namenodes done." Hadoop-2.6.5/sbin/refresh-namenodes.sh: done Hadoop-2.6.5/sbin/distribute-exclude.sh:done Running the above code gives us the following result − hadoop-2.6.5/sbin/slaves.sh:done In this case we mention the r switch, which allows for a recursive search along all the subdirectories of the path given. Hadoop-2.6.5/etc/hadoop/yarn-site.xml: Using grep -r Hadoop-2.6.5/etc/hadoop/hadoop-policy.xml: Running the above code gives us the following result − hadoop-2.6.5/etc/hadoop/capacity-scheduler.xml: Running the above code gives us the following. egrep -r 'word1word2' directory-path/ Example egrep -r 'configcomma' hadoop-2.6. At a basic level, it will match an input string with the list of files that contain that string.Below is the syntax and the example. We can also search for multiple words by using the egrep command with character. File.read(filename).include(word) If your file is very large, this is not an optimal solution, as you would read the complete file into memory and start searching afterwards. It is a powerful regular expression search tool. In this article we'll see which commands to use to find all the files that contains a particular string or Word. Many times we need to search for a particular string which may be present in multiple files.