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ECE241 PROJECT 1: Sorting and Searching
创建日期：2024-08-02 15:55:27
标签： ECE241
Sorting and Searching

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ECE241 PROJECT 1: Sorting and Searching

Introduction:

In today’s Internet-dominated world we take for granted the ability of computers to search through

vast quantities of data to find information that is of interest to us. The ability of search engines to

find data quickly is the result of many programmers’ and algorithm designers’ efforts over a number

of years. In Project 1, you will have the opportunity to learn the basics to become a successful

future programmer by implementing algorithms for the Million Song Dataset, which will both sort

and search through a database of information related to songs. In this specific project you will use

a subset of the Million Song Dataset the This data. This dataset is an example of the mass

quantities of data that are evaluated by computers many of times a day.

In this assignment, you will read in a subset of the Million Song Dataset from an Excel file. It

contains information for approximately 10,000 songs which contains several fields such as title,

artist, song duration, track ID. You will then perform search and sort operations on the data to

demonstrate the performance of different sorting and searching algorithms.

Task Overview

In this project, you will perform the following specific tasks.

1. Manage your data in Python classes and objects. For example, you should manage songs

in the Song object and song library in SongLibrary.

a. In the Song class, you should have variables for the different attributes of the songs

(title, artist, song duration, track ID).

b. In the SongLibrary class, you should have basic information about the library which

usually contains an array for all the Song objects, an integer that indicates how

many songs the library contains and a Boolean variable that shows whether the

library is sorted or not. In order to make it efficient to search the songs, we also

need a binary search tree (BST) for the song library based on the song title.

2. Read in the database of songs using the loadLibrary method in SongLibrary class. The

method takes the input data file name and loads the songs in the file to the library. Make

sure the order of the songs is the same as the one in the input file.

3. Implement a linear search algorithm to search the songs based on either song title or artist.

Return the number of the songs found in the song array that satisfies your search. The

search function should have two parameters, one for your query and one for the attribute

(string as ‘title’ or ‘artist’).

4. Implement a QuickSort algorithm to sort the song database based on the song title. The

sorted songs should be stored in the same song array. Make sure you change the status

of the Boolean variable that shows whether the library is sorted or not.

5. Implement a function to build a balanced BST of the songs based on the song title. Record

the time spent on building the BST. Ideally the height of a balanced BST for 10,000 songs

is 14. In this task, you need to build a tree with height AT MOST 24.

6. Implement a search function for song title on the BST.

7. Perform a linear search in the sorted database for the 100 songs. You can use a random

number generator to arbitrarily select 100 song titles. Record the average time spent on

the linear search.

8. Perform a search of the same 100 songs in the BST. Record the average time spent.

9. In order to perform a search on BST, we need to spend additional time to build the BST. If

we have many songs to search, it is worthwhile to spend the additional time. Using the

information calculated above (Task 5, 7, 8), determine how many linear searches ? would

be necessary before the overall run time of the linear searches would be more than the

combined total of building a BST (only performed once) and ? searches in the BST.

Hints and suggestions

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