Homework Five: Binary Search Trees  Solution.ZIP

Homework Five: Binary Search Trees Solution

This assignment involves modeling a community of people using the data structures we covered in class to be able to answer certain questions about a community and its members. 

Each member x of the community is a person that has a unique SSN, a name (first and last name), a mother, a father, and a list of people (from within the community) that x considers to be his/her friends. 

Note that if x considers y a friend, it does not necessarily follow that y considers x a friend. The kinds of queries that your program should be able to answer are:

For a given person x, find all the children of x; 

For a given person x, find all the half-siblings of x; 

For a given person x, find all the full-siblings of x; 

For a given person x, find the friends of x that consider x as their friend as well; 

For a given person x, find all the Persons that consider x as their friend; 

Who has the most mutual friends; 

The precise types of questions your program should answer are detailed below.

The Input:  

Your program will take two input files from the command prompt, the first file containing the information about the community, and the second file containing the queries that your program should answer. 

The first input file, which has the information about the community, will be such that each person has one "paragraph", with at least one blank between successive paragraphs. The format of the paragraph of a person is: 

 

FIRST NAME: word       // just one word representing the first name

LAST NAME: word        // just one word representing the last name

SSN: number                     // social security number (any unsigned integer)

FATHER: number            // representing the SSN of the father

MOTHER: number          // representing the SSN of the mother

FRIENDS: a coma-separated list of SSNs of this person’s friends

Note: The list after FRIENDS is the list of the SSNs of the people that the person in question considers to be his/her friends. Those SSNs are not necessarily sorted.

 

 

The second input file will have a sequence of queries, one query per line, where each query is any of the following:

 

NAME-OF SSN

MOTHER-OF SSN

FATHER-OF SSN

HALF-SIBLINGS-OF SSN

FULL-SIBLINGS-OF SSN

CHILDREN-OF SSN

MUTUAL-FRIENDS-OF SSN

INVERSE-FRIENDS-OF SSN 

WHO-HAS-MOST-MUTUAL-FRIENDS

 

Note that SSN in the above queries stands for an unsigned int.  

 

The output:

Your program must take as input the two input files above, in that order. That is, we should be able to compile your program into, then call it from the argument list on Eclipse or you can use the filereader and read communityFileName.txt and queriesFileName.txt 

Make sure that the files are within your source code file so you do not have to specify the full path of the input files. 

Your program must then output as many lines as there are query lines in Eclipse: the kth output line should be the answer to the kth query line in file queriesFileName. 

Your output line answer to a query should begin by repeating the exact same query, followed by a colon (:), followed by the query-answer. The query-answer for the first three types of query should be the two words representing the first and last name of the answer-person. The query-answer for the next five types of query should be a list of first name and last name pairs, separated by commas, and ordered so that their SSNs are in increasing order. 

For example, a possible output for "CHILDREN-OF 3155" can be: 

        CHILDREN-OF 3155: John Smith, Adam Smith, Susan Smith 

And for the query "MUTUAL-FRIENDS-OF 3155", a possible answer can be: 

        MUTUAL-FRIENDS-OF 3155: John Redman, Janet Fisher, Joe Fisher 

 

The answer to INVERSE-FRIENDS-OF SSN query should consist of the people that consider the person with the specified SSN to be their friend.

The answer to a WHO-HAS-MOST-MUTUAL-FRIENDS query should be the full name of the person who has the most mutual friends; in case of a tie, choose the one with the smallest SSN.
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