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package stateInformation; import java.io.BufferedReader; public class AllStates { private State[] states; //holds an array of State objects //go through week 4 lecture notes to study

package stateInformation;

import java.io.BufferedReader;

public class AllStates {

private State[] states; //holds an array of State objects

//go through week 4 lecture notes to study this topic

//DO NOT MODIFY

public AllStates(String filename) throws IOException {

load(filename);

}

/*

* DO NOT MODIFY - This method reads information about the states from the file

* and stores it in the array of State objects

*/

public void load(String filename) throws IOException{

FileInputStream inputStream1 = new FileInputStream(filename);

BufferedReader bufferedReader1 = new BufferedReader(new InputStreamReader(inputStream1));

int count = 0;

while(bufferedReader1.readLine() != null) {

count++;

}

bufferedReader1.close();

FileInputStream inputStream2 = new FileInputStream(filename);

BufferedReader bufferedReader2 = new BufferedReader(new InputStreamReader(inputStream2));

states = new State[count];

String line = null;

for(int i=0; i < count; i++) {

line = bufferedReader2.readLine();

String tokens[] = line.split(",");

String abbrev = tokens[0];

String name = tokens[1];

int population = Integer.parseInt(tokens[2]);

states[i] = new State(abbrev, name, population);

}

bufferedReader2.close();

}

/**

* 10 marks

* Function description: print a list of all states

* @return: String representing the states

* The example of the format:

* "NSW (New South Wales) - Population: 7704300

* VIC (Victoria) - Population: 6039100

* SA (South Australia) - Population: 1706500"

*/

public String toString() {

return ""; //to be completed

}

/**

*

* Function description: Find the state name by abbreviation in the dataset

* , abbreviation

* @return: the state name if we can find the state name by the input abbreviation,

* else return "No state with given abbreviation exists"

*/

public String getNameByAbbreviation(String abbreviation) {

return ""; //to be completed

}

/**

*

* Function description: find whether the given state is in the dataset

* , name

* @return: If the state exists in the dataset, return true, else return false

*/

public boolean exists(String name) {

return false; //to be completed

}

/**

*

* Function description: get the state that has the lowest population

*

* @return: the state name with the minimum population

*/

public String leastPopulatedState() {

return ""; //to be completed

}

/**

* 15 marks

* Function description: get the average population of all states

*

* @return: the average population

*/

public double averagePopulation() {

return 0; //to be completed

}

/**

*

* Function description: find the states that the population is higher than 10000000 (10 million)

*

* @return: the number of state with the population more than 10000000 (10 million)

*/

public int getLargeStateCount() {

return 0; //to be completed

}

/**

*

* Function description: find the states that the population is less than 1000000 (1 million)

*

* @return: the number of state with the population less than 1000000 (1 million)

*/

public int getSmallStateCount() {

return 0; //to be completed

}

/**

*

* Function description: determine the number of states that the names start with initial passed

* @param: initial: first letter of required states

* @return: return the number of state where the state names start with initial passed

*/

public int countStatesCountByInitial(char initial) {

return 0; //to be completed

}

/**

*

* Function description: find the states that the names start with initial passed

* @param: initial: first letter of required states

* @return: return the states where the state names start with initial passed

*/

public State[] getStatesCountByInitial(char initial) {

//you'll need to determine the size of the resulting array, populate it, and return it

return new State[] {}; //to be completed

}

/**

*

* re-arrange the states in decreasing order of population

*/

public void arrageByPopulation() {

//to be completed

}

}

FOR STATE CLASS (STATE.java):

package stateInformation;

//DO NOT MODIFY THIS CLASS

/**

*

* State is defined by its name, abbreviation and population

*

*/

public class State {

private String abbrev, name;

private int population;

public String getAbbrev() {

return abbrev;

}

public void setAbbrev(String abbrev) {

this.abbrev = abbrev;

}

public String getName() {

return name;

}

public void setName(String name) {

this.name = name;

}

public int getPopulation() {

return population;

}

public void setPopulation(int population) {

this.population = Math.max(0, population);

}

/**

* constructor

* @param abbrev

* @param name

* @param population

*/

public State(String abbrev, String name, int population) {

setAbbrev(abbrev);

setName(name);

setPopulation(population);

}

/**

*

* @return true if state is "large", defined as population of more than 10 million, return false otherwise

*/

public boolean isLargeState() {

return population > 10000000;

}

/**

*

* @return true if state is "small", defined as population of less than 1 million, return false otherwise

*/

public boolean isSmallState() {

return population < 1000000;

}

/**

* String representation of a State objects

*/

public String toString() {

return abbrev+" ("+name+") - Population: "+population;

}

}

package stateInformation;

FOR CLIENT CLASS (CLIENT.java):

import java.io.IOException;

public class Client {

public static void main(String[] args) throws IOException {

// TODO Auto-generated method stub

/*

* 1. create object states of class AllStates populated with file data/AustraliaStateData.txt

* 2. Display the toString() output of the object in the format specified in the pdf specifications

* 3. Display the state whose abbreviation is NSW in the format specified in the pdf specifications

* 4. Display if Victoria exists or not in the format specified in the pdf specifications

* 5. Display the least population state in the format specified in the pdf specifications

* 6. Display the average population up to 2 decimal places of precision using DecimalFormat

* (more details in pdf specifications)

* 7. Display the number of "large" states in the format specified in the pdf specifications

* 8. Display the number of "small" states in the format specified in the pdf specifications

* 9. Display the number of states that begin with an 'A' in the format specified in the pdf specifications

*/

}

}

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