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Hands-On Artificial Intelligence for Search

You're reading from   Hands-On Artificial Intelligence for Search Building intelligent applications and perform enterprise searches

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789611151
Length 124 pages
Edition 1st Edition
Languages
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Author (1):
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Devangini Patel Devangini Patel
Author Profile Icon Devangini Patel
Devangini Patel
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Toc

Do it yourself

In this section, we will look at an application that you can develop by yourself. We will take a look at a new application and discuss the changes that are required. In the Introduction to file search applications section, we discussed two applications of file searching; now, we will develop the second type of example. Our aim is to develop a search application that is able to find program files containing specific program text.

In the code for recursive DFS, we mainly used three classes, as follows:

  • State: This has the three main ingredients of the search process
  • Node: This is used to build search trees
  • Recursive DFS: This has the actual algorithm implementation

Suppose that we want to adapt this code or file search application to new application. We will need to change three methods: getInitialState, successorFunction, and checkGoalState. For the new application of program searching, you will need to change just one method: checkGoalState.

In your new checkGoalState function, you will need to open the file, read the contents of the file line by line, and perform a substring check or regular expression check. Lastly, based on the results of the check, you will return true or false.

So, go ahead and try it out for yourself!

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