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Project: Softball Players – Part 3

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Project: Softball Players – Part 3 Page 1 of 12
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Deliverables
Your project files should be submitted to Web-CAT by the due date and time specified. Note that
there is also an optional Skeleton Code assignment which will indicate level of coverage your tests
have achieved (there is no late penalty since the skeleton code assignment is ungraded for this
project). The files you submit to skeleton code assignment may be incomplete in the sense that
method bodies have at least a return statement if applicable or they may be essentially completed
files. In order to avoid a late penalty for the project, you must submit your completed code files to
Web-CAT no later than 11:59 PM on the due date for the completed code assignment. If you are
unable to submit via Web-CAT, you should e-mail your project Java files in a zip file to your TA
before the deadline. The grades for the Completed Code submission will be determined by the tests
that you pass or fail in your test files and by the level of coverage attained in your source files as well
as usual correctness tests in Web-CAT.
From Project 9 originally, but should be copied from Project 10
• SoftballPlayer.java
• Outfielder.java, OutfielderTest.java
• Infielder.java, InfielderTest.java
• Pitcher.java, PitcherTest.java
• ReliefPitcher.java, ReliefPitcherTest.java
From Project 10
• NameComparator.java, NameComparatorTest.java
• RatingComparator.java, RatingComparatorTest.java
• SoftballTeam.java, SoftballTeamTest.java [must be modified as described below]
New in Project 11
• InvalidCategoryException.java
• SoftballPlayersPart3.java, SoftballPlayersPart3Test.java
Recommendations
You should create a new folder for Part 3 and copy your relevant Part 2 source and test files to it. You
should create a jGRASP project and add the class and test files as they are created.
Specifications – Use arrays in this project; ArrayLists are not allowed!
Overview: This project is Part 3 of three that involves the rating and reporting for softball players.
In Part 1 (Project 9), you developed Java classes including an abstract SoftballPlayer class and
subclasses of it that represent categories of softball players: outfielders, infielders, pitchers, and relief
pitchers. In Part 2 (Project 10), you implemented three additional classes: (1) NameComparator that
implements the Comparator interface for SoftallPlayer, (2) RatingComparator that implements the
Comparator interface for SoftballPlayer, and (3) SoftballTeam that represents a team of softball
players and includes several specialized methods. In Part 3 (Project 11), you are to add exception
handling. You will need to do the following: (1) create a new class named InvalidCategoryException
which extends the Exception class, (2) add try-catch statements to catch IOException in the main
method of the SoftballPlayersPart3 class, and (3) modify the readPlayerFile in the SoftballTeam class
Project: Softball Players – Part 3 Page 2 of 12
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to catch/handle InvalidCategoryException and NumberFormatException in the event that either type
exception is thrown while reading the input file.
Note that the main method in SoftballPlayersPart3 should create a SoftballTeam object and then
invoke the readPlayerFile method on the SoftballTeam object to read data from a file and add softball
players to the team. You can use SoftballPlayersPart3 in conjunction with interactions by running the
program in the canvas (or debugger with a breakpoint) and single stepping until the variables of
interest are created. You can then enter interactions in the usual way. In addition to the source files,
you will create a JUnit test file for the indicated source files and write one or more test methods to
ensure the classes and methods meet the specifications. You should create a jGRASP project upfront
and then add the source files as they are created. All of your files should be in a single folder.
• SoftballPlayer, Outfielder, Infielder, Pitcher, ReliefPitcher, NameComparator,
RatingComparator
Requirements and Design: No changes from the specifications in Projects 9 and 10. .
• InvalidCategoryException.java
Requirements and Design: InvalidCategoryException is a user defined exception created by
extending the Exception class. This exception is to be thrown and caught in the readPlayerFile
method in the SoftballTeam class when a line of input data contains an invalid player category.
The constructor for InvalidCategoryException takes a single String parameter representing
category and invokes the super constructor with the following String:
“For category: ” + “\”” + category + “\””
This string will be the toString() value of an InvalidCategoryException when it occurs. For a
similar constructor, see InvalidLengthException.java in 11_Exceptions\Examples\Polygons from
this week’s class notes.
• SoftballTeam.java
Requirements and Design: The SoftballTeam class provides methods for reading in the data file
and generating reports.
Design: In addition to the specifications in Project 10, the existing readPlayerFile method must
be modified to catch following: InvalidCategoryException and NumberFormatException.
o readPlayerFile has no return value and accepts the data file name as a String.
Remember to include the throws IOException clause in the method declaration. This
method creates a Scanner object to read in the file and then reads it in line by line. The first
line contains the team name and each of the remaining lines contains the data for a player.
After reading in the team name, the “player” lines should be processed as follows. A player
line is read in, a second scanner is created on the line, and the individual values for the player
are read in. After the values on the line have been read in, an “appropriate” SoftballPlayer
object created. If there is room on the roster, the player is added to the roster array and the
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player count is incremented. Any player lines/records read from the file after the limit of
MAX_PLAYERS players has been reached should be added to the excluded array with
appropriate prefix message (Maximum player count of ___ exceeded for:
where the blank is MAX_PLAYERS) and its count should be incremented. If excluded array
is full, the line/record should just be skipped, and the ignored count should be incremented.
The data file is a “comma separated values” file; i.e., if a line contains multiple values, the
values are delimited by commas. So when you set up the scanner for the player lines, you
need to set the delimiter to use a “,” by calling the useDelimiter(“,”) method on the
Scanner object. Each player line in the file begins with a category for the softball player (O,
I, P, and R are valid categories for softball players indicating Outfielder, Infielder, Pitcher,
and ReliefPitcher respectively. The second field in the record is the player’s number,
followed by the data for the name, position, specialization factor, and batting average. The
last items correspond to the data needed for the particular category (or subclass) of
SoftballPlayer. For each incorrect line scanned (i.e., a line of data contains an invalid
category or invalid numeric data), your method will need to handle the invalid items properly.
If the line of data begins with an invalid category, your program should throw an
InvalidCategoryException (see description above). If a line of data has a valid category, but
includes invalid numeric data (e.g., the value for battingAvg contains an alphabetic
character), a NumberFormatException (see notes on last page) will be thrown automatically
by the Java Runtime Environment (JRE). The code that checks for player category should be
in a try statement and the code that adds a record with an invalid player category to the
excluded records array should now be placed in the catch clause that follows the try
statement. That is, your readPlayerFile method should catch and handle
InvalidCategoryException and NumberFormatException as follows. In each catch clause, a
String object should be created consisting of
e + ” in: ” + line
where e is the exception and line is the line with the invalid data. The String object should be
added to the excludedRecords array.
The file softball_player_data3a.csv is available for download from the course web site.
Below are example data records (the first line/record containing the team name is followed by
player lines/records). Note that the last two lines will each cause an exception to be thrown.
L is an invalid category and .480a in not a double value.
Auburn Stars
O,32,Pat Jones,RF,1.0,.375,.950
I,23,Jackie Smith,3B,1.25,.275,.850
P,43,Jo Williams,RHP,2.0,.125,22,4,2.85
R,34,Sammi James,LHP,2.0,.125,5,4,3.85,17
L,23,Gayle Adams,2B,1.25,.225,.875
O,09,Pat Williams,RF,1.0,.480a,.950
Project: Softball Players – Part 3 Page 4 of 12
Page 4 of 12
• SoftballPlayersPart3.java
Requirements and Design: The SoftballPlayersPart3 class has only a main method as described
below. In addition to the specifications in Project 10, the main method should be modified to
catch and handle an IOException if one is thrown in the readPlayerFile method.
o As before, main reads in the file name as the first argument, args[0], of the command line
arguments, creates an instance of SoftballTeam, and then calls the readPlayerFile method in
the SoftballTeam class to read in the data file and generate the five reports as shown in the
output examples beginning on the next page. The main method should not include the throws
IOException in the declaration. Instead, the main method should include a try-catch
statement to catch IOException when/if it is thrown in the readPlayerFile method in the
SoftballPlayer class. This exception is most likely to occur when an incorrect file name is
passed to the readPlayerFile method. After this exception is caught and the appropriate
message is printed in main, your program should end. See the second example output on the
following page.
Example data files can be downloaded from the Lab web page, and the program output for
softball_player_data3a.csv, softball_player_data3b.csv, and softball_player_data3c.csv
begins on the next page.
UML Class Diagram
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Page 5 of 12
Example Output when file name is missing as command line argument
MM«M —-jGRASP exec: java SoftballPlayersPart3
MM§MFile name expected as command line argument.
MM§MProgram ending.
MM§M
MM©M —-jGRASP: operation complete.
Example Output when attempting to read a file that is not found
MM«M —-jGRASP exec: java SoftballPlayersPart3 not_a_real_file.csv
MM§MAttempted to read file: not_a_real_file.csv (No such file or directory)
MM§MProgram ending.
MM§M
MM©M —-jGRASP: operation complete.
Example Output for softball_player_data_part3a.csv
MM«M —-jGRASP exec: java SoftballPlayersPart3 softball_player_data_part3a.csv
MM§M
MM§M—————————————
MM§MTeam Report for Auburn Stars
MM§M—————————————
MM§M
MM§M32 Pat Jones (RF) .375
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 3.562
MM§M
MM§M23 Jackie Smith (3B) .275
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 2.922
MM§M
MM§M43 Jo Williams (RHP) 22 wins, 4 losses, 2.85 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: 3.740
MM§M
MM§M34 Sammi James (LHP) 5 wins, 4 losses, 17 saves, 3.85 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 2.474
MM§M
MM§M
MM§M—————————————
MM§MTeam Report for Auburn Stars (by Number)
MM§M—————————————
MM§M23 Jackie Smith 3B .275
MM§M32 Pat Jones RF .375
MM§M34 Sammi James LHP 5 wins, 4 losses, 17 saves, 3.85 ERA
MM§M43 Jo Williams RHP 22 wins, 4 losses, 2.85 ERA
MM§M
MM§M—————————————
MM§MTeam Report for Auburn Stars (by Name)
MM§M—————————————
MM§M34 Sammi James LHP 5 wins, 4 losses, 17 saves, 3.85 ERA
MM§M32 Pat Jones RF .375
MM§M23 Jackie Smith 3B .275
MM§M43 Jo Williams RHP 22 wins, 4 losses, 2.85 ERA
MM§M
MM§M—————————————
MM§MTeam Report for Auburn Stars (by Rating)
MM§M—————————————
Project: Softball Players – Part 3 Page 6 of 12
Page 6 of 12
MM§M3.74 43 Jo Williams RHP 22 wins, 4 losses, 2.85 ERA
MM§M3.56 32 Pat Jones RF .375
MM§M2.92 23 Jackie Smith 3B .275
MM§M2.47 34 Sammi James LHP 5 wins, 4 losses, 17 saves, 3.85 ERA
MM§M
MM§M—————————————
MM§MExcluded Records Report
MM§M—————————————
MM§MInvalidCategoryException: For category: “L” in: L,23,Gayle Adams,2B,1.25,.225,.875
MM§Mjava.lang.NumberFormatException: For input string: “.480a” in: O,09,Pat Williams,RF,1.0,.480a,.950
MM§MNumber of ignored records from file: 0
MM§M
MM©M —-jGRASP: operation complete.
Example Output for softball_player_data_part3b.csv
MM«M —-jGRASP exec: java SoftballPlayersPart3 softball_player_data_part3b.csv
MM§M
MM§M—————————————
MM§MTeam Report for My Bigger Team
MM§M—————————————
MM§M
MM§M21 Jodi Doe (RF) .305
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 2.989
MM§M
MM§M11 Tina Dobbs (RF) .350
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 3.395
MM§M
MM§M13 Nina Dobbs (LF) .478
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 4.541
MM§M
MM§M12 Poppi Ledet (LF) .325
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 3.120
MM§M
MM§M14 Sruthi Yalamanchili (CF) .285
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 2.679
MM§M
MM§M29 Sandy Chintapalli (1B) .265
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 2.915
MM§M
MM§M18 Buddy Bell (2B) .325
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.494
MM§M
MM§M19 Gigi de la Hoya (2B) .278
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.301
MM§M
MM§M10 Mikie Mahtook (3B) .298
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.464
MM§M
MM§M22 Matty Ott (SS) .298
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.278
MM§M
MM§M23 Leah Coleman (SS) .350
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 4.244
MM§M
MM§M25 Erin Noland (RHP) 5 wins, 11 losses, 4.3 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: -.906
MM§M
MM§M26 Jackie Malkovic (RHP) 6 wins, 10 losses, 5.4 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: -.500
MM§M
MM§M27 Lois Gibson (RHP) 8 wins, 7 losses, 3.5 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: .178
MM§M
MM§M28 Gina Malika (LHP) 7 wins, 8 losses, 1.6 ERA
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MM§MSpecialization Factor: 2.0 (class Pitcher) Rating:
-.308
MM§M
MM§M16 Tika Brando (LHP) 9 wins, 7 losses, 1.7 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: .593
MM§M
MM§M30 Belinda Striker (LHP) 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.333
MM§M
MM§M31 Lilly Dean (RHP) 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 2.069
MM§M
MM§M32 Briana Wilson (RHP) 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.111
MM§M
MM§M33 Janine Mason (RHP) 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.011
MM§M
MM§M34 Green Lantern (LHP) 14 wins, 2 losses, 3 saves, 2.2 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.125
MM§M
MM§M35 Bruce Wayne (LHP) 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.636
MM§M
MM§M36 Billie Gates (LHP) 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.529
MM§M
MM§M
MM§M—————————————
MM§MTeam Report for My Bigger Team (by Number)
MM§M—————————————
MM§M10 Mikie Mahtook 3B .298
MM§M11 Tina Dobbs RF .350
MM§M12 Poppi Ledet LF .325
MM§M13 Nina Dobbs LF .478
MM§M14 Sruthi Yalamanchili CF .285
MM§M16 Tika Brando LHP 9 wins, 7 losses, 1.7 ERA
MM§M18 Buddy Bell 2B .325
MM§M19 Gigi de la Hoya 2B .278
MM§M21 Jodi Doe RF .305
MM§M22 Matty Ott SS .298
MM§M23 Leah Coleman SS .350
MM§M25 Erin Noland RHP 5 wins, 11 losses, 4.3 ERA
MM§M26 Jackie Malkovic RHP 6 wins, 10 losses, 5.4 ERA
MM§M27 Lois Gibson RHP 8 wins, 7 losses, 3.5 ERA
MM§M28 Gina Malika LHP 7 wins, 8 losses, 1.6 ERA
MM§M29 Sandy Chintapalli 1B .265
MM§M30 Belinda Striker LHP 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§M31 Lilly Dean RHP 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§M32 Briana Wilson RHP 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§M33 Janine Mason RHP 5 wins, 3 losses, 12 saves, 2.1 ERA
M§M34 Green Lantern LHP 14 wins, 2 losses, 3 saves, 2.2 ERA
MM§M35 Bruce Wayne LHP 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§M36 Billie Gates LHP 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§M
MM§M—————————————
MM§MTeam Report for My Bigger Team (by Name)
MM§M—————————————
MM§M18 Buddy Bell 2B .325
MM§M16 Tika Brando LHP 9 wins, 7 losses, 1.7 ERA
MM§M29 Sandy Chintapalli 1B .265
MM§M23 Leah Coleman SS .350
MM§M19 Gigi de la Hoya 2B .278
MM§M31 Lilly Dean RHP 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§M13 Nina Dobbs LF .478
MM§M11 Tina Dobbs RF .350
MM§M21 Jodi Doe RF .305
MM§M36 Billie Gates LHP 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§M27 Lois Gibson RHP 8 wins, 7 losses, 3.5 ERA
MM§M34 Green Lantern LHP 14 wins, 2 losses, 3 saves, 2.2 ERA
Project: Softball Players – Part 3 Page 8 of 12
Page 8 of 12
MM§M12 Poppi Ledet LF .325
MM§M10 Mikie Mahtook 3B .298
MM§M28 Gina Malika LHP 7 wins, 8 losses, 1.6 ERA
MM§M26 Jackie Malkovic RHP 6 wins, 10 losses, 5.4 ERA
MM§M33 Janine Mason RHP 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§M25 Erin Noland RHP 5 wins, 11 losses, 4.3 ERA
MM§M22 Matty Ott SS .298
MM§M30 Belinda Striker LHP 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§M35 Bruce Wayne LHP 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§M32 Briana Wilson RHP 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§M14 Sruthi Yalamanchili CF .285
MM§M
MM§M—————————————
MM§MTeam Report for My Bigger Team (by Rating)
MM§M—————————————
MM§M4.54 13 Nina Dobbs LF .478
MM§M4.24 23 Leah Coleman SS .350
MM§M3.64 35 Bruce Wayne LHP 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§M3.53 36 Billie Gates LHP 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§M3.49 18 Buddy Bell 2B .325
MM§M3.46 10 Mikie Mahtook 3B .298
MM§M3.39 11 Tina Dobbs RF .350
MM§M3.33 30 Belinda Striker LHP 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§M3.30 19 Gigi de la Hoya 2B .278
MM§M3.28 22 Matty Ott SS .298
MM§M3.12 34 Green Lantern LHP 14 wins, 2 losses, 3 saves, 2.2 ERA
MM§M3.12 12 Poppi Ledet LF .325
MM§M3.11 32 Briana Wilson RHP 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§M3.01 33 Janine Mason RHP 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§M2.99 21 Jodi Doe RF .305
MM§M2.92 29 Sandy Chintapalli 1B .265
MM§M2.68 14 Sruthi Yalamanchili CF .285
MM§M2.07 31 Lilly Dean RHP 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§M0.59 16 Tika Brando LHP 9 wins, 7 losses, 1.7 ERA
MM§M0.18 27 Lois Gibson RHP 8 wins, 7 losses, 3.5 ERA
MM§M-0.31 28 Gina Malika LHP 7 wins, 8 losses, 1.6 ERA
MM§M-0.50 26 Jackie Malkovic RHP 6 wins, 10 losses, 5.4 ERA
MM§M-0.91 25 Erin Noland RHP 5 wins, 11 losses, 4.3 ERA
MM§M
MM§M—————————————
MM§MExcluded Records Report
MM§M—————————————
MM§Mjava.lang.NumberFormatException: For input string: “1.0a” in: O,15,Kavya Krishnappa,CF,1.0a,0.298,0.93
MM§Mjava.lang.NumberFormatException: For input string: “0.350b” in: I,17,Janie Doe,1B,1.25,0.350b,0.97
MM§Mjava.lang.NumberFormatException: For input string: “0.94c” in: I,20,Daisy Doalot,3B,1.25,0.285,0.94c
MM§MInvalidCategoryException: For category: “H” in: H,24,Nola Austin,LHP,2.0,0.225,4,12,1.2
MM§MNumber of ignored records from file: 0
MM§M
MM©M —-jGRASP: operation complete.
Example Output for softball_player_data3c.csv
MM«M —-jGRASP exec: java SoftballPlayersPart3 softball_player_data_part3c.csv
MM§M
MM§M—————————————
MM§MTeam Report for My Biggest Team File
MM§M—————————————
MM§M
MM§M21 Jodi Doe (RF) .305
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 2.989
MM§M
MM§M11 Tina Dobbs (RF) .350
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 3.395
MM§M
Project: Softball Players
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MM§M13 Nina Dobbs (LF) .478
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 4.541
MM§M
MM§M12 Poppi Ledet (LF) .325
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 3.120
MM§M
MM§M14 Sruthi Yalamanchili (CF) .285
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 2.679
MM§M
MM§M29 Sandy Chintapalli (1B) .265
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 2.915
MM§M
MM§M18 Codi Bell (2B) .325
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.494
MM§M
MM§M19 Gigi de la Hoya (2B) .278
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.301
MM§M
MM§M10 Mikie Mahtook (3B) .298
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.464
MM§M
MM§M22 Matty Ott (SS) .298
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 3.278
MM§M
MM§M23 Leah Coleman (SS) .350
MM§MSpecialization Factor: 1.25 (class Infielder) Rating: 4.244
MM§M
MM§M25 Erin Noland (RHP) 5 wins, 11 losses, 4.3 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating:
-.906
MM§M
MM§M26 Jackie Malkovic (RHP) 6 wins, 10 losses, 5.4 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating:
-.500
MM§M
MM§M27 Lois Gibson (RHP) 8 wins, 7 losses, 3.5 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: .178
MM§M
MM§M28 Gina Malika (LHP) 7 wins, 8 losses, 1.6 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating:
-.308
MM§M
MM§M16 Tika Brando (LHP) 9 wins, 7 losses, 1.7 ERA
MM§MSpecialization Factor: 2.0 (class Pitcher) Rating: .593
MM§M
MM§M30 Belinda Striker (LHP) 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.333
MM§M
MM§M31 Lilly Dean (RHP) 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 2.069
MM§M
MM§M32 Briana Wilson (RHP) 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.111
MM§M
MM§M33 Janine Mason (RHP) 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.011
MM§M
MM§M34 Green Lantern (LHP) 14 wins, 2 losses, 3 saves, 2.2 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.125
MM§M
MM§M35 Brice Wayne (LHP) 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.636
MM§M
MM§M36 Billie Gates (LHP) 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§MSpecialization Factor: 2.0 (class ReliefPitcher) Rating: 3.529
MM§M
MM§M37 Anita Jones (RF) .375
MM§MSpecialization Factor: 1.0 (class Outfielder) Rating: 3.562
MM§M
MM§M
MM§M—————————————
MM§MTeam Report for My Biggest Team File (by Number)
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MM§M—————————————
MM§M10 Mikie Mahtook 3B .298
MM§M11 Tina Dobbs RF .350
MM§M12 Poppi Ledet LF .325
MM§M13 Nina Dobbs LF .478
MM§M14 Sruthi Yalamanchili CF .285
MM§M16 Tika Brando LHP 9 wins, 7 losses, 1.7 ERA
MM§M18 Codi Bell 2B .325
MM§M19 Gigi de la Hoya 2B .278
MM§M21 Jodi Doe RF .305
MM§M22 Matty Ott SS .298
MM§M23 Leah Coleman SS .350
MM§M25 Erin Noland RHP 5 wins, 11 losses, 4.3 ERA
MM§M26 Jackie Malkovic RHP 6 wins, 10 losses, 5.4 ERA
MM§M27 Lois Gibson RHP 8 wins, 7 losses, 3.5 ERA
MM§M28 Gina Malika LHP 7 wins, 8 losses, 1.6 ERA
MM§M29 Sandy Chintapalli 1B .265
MM§M30 Belinda Striker LHP 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§M31 Lilly Dean RHP 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§M32 Briana Wilson RHP 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§M33 Janine Mason RHP 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§M34 Green Lantern LHP 14 wins, 2 losses, 3 saves, 2.2 ERA
MM§M35 Brice Wayne LHP 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§M36 Billie Gates LHP 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§M37 Anita Jones RF .375
MM§M
MM§M—————————————
MM§MTeam Report for My Biggest Team File (by Name)
MM§M—————————————
MM§M18 Codi Bell 2B .325
MM§M16 Tika Brando LHP 9 wins, 7 losses, 1.7 ERA
MM§M29 Sandy Chintapalli 1B .265
MM§M23 Leah Coleman SS .350
MM§M19 Gigi de la Hoya 2B .278
MM§M31 Lilly Dean RHP 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§M13 Nina Dobbs LF .478
MM§M11 Tina Dobbs RF .350
MM§M21 Jodi Doe RF .305
MM§M36 Billie Gates LHP 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§M27 Lois Gibson RHP 8 wins, 7 losses, 3.5 ERA
MM§M37 Anita Jones RF .375
MM§M34 Green Lantern LHP 14 wins, 2 losses, 3 saves, 2.2 ERA
MM§M12 Poppi Ledet LF .325
MM§M10 Mikie Mahtook 3B .298
MM§M28 Gina Malika LHP 7 wins, 8 losses, 1.6 ERA
MM§M26 Jackie Malkovic RHP 6 wins, 10 losses, 5.4 ERA
MM§M33 Janine Mason RHP 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§M25 Erin Noland RHP 5 wins, 11 losses, 4.3 ERA
MM§M22 Matty Ott SS .298
MM§M30 Belinda Striker LHP 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§M35 Brice Wayne LHP 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§M32 Briana Wilson RHP 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§M14 Sruthi Yalamanchili CF .285
MM§M
MM§M—————————————
MM§MTeam Report for My Biggest Team File (by Rating)
MM§M—————————————
MM§M4.54 13 Nina Dobbs LF .478
MM§M4.24 23 Leah Coleman SS .350
MM§M3.64 35 Brice Wayne LHP 15 wins, 1 losses, 4 saves, 2.3 ERA
MM§M3.56 37 Anita Jones RF .375
MM§M3.53 36 Billie Gates LHP 16 wins, 0 losses, 2 saves, 2.4 ERA
MM§M3.49 18 Codi Bell 2B .325
MM§M3.46 10 Mikie Mahtook 3B .298
MM§M3.39 11 Tina Dobbs RF .350
MM§M3.33 30 Belinda Striker LHP 10 wins, 6 losses, 10 saves, 1.8 ERA
MM§M3.30 19 Gigi de la Hoya 2B .278
MM§M3.28 22 Matty Ott SS .298
MM§M3.12 34 Green Lantern LHP 14 wins, 2 losses, 3 saves, 2.2 ERA
Project: Softball Players – Part 3 Page 11 of 12
Page 11 of 12
MM§M3.12 12 Poppi Ledet LF .325
MM§M3.11 32 Briana Wilson RHP 4 wins, 4 losses, 14 saves, 2.0 ERA
MM§M3.01 33 Janine Mason RHP 5 wins, 3 losses, 12 saves, 2.1 ERA
MM§M2.99 21 Jodi Doe RF .305
MM§M2.92 29 Sandy Chintapalli 1B .265
MM§M2.68 14 Sruthi Yalamanchili CF .285
MM§M2.07 31 Lilly Dean RHP 11 wins, 5 losses, 3 saves, 1.9 ERA
MM§M0.59 16 Tika Brando LHP 9 wins, 7 losses, 1.7 ERA
MM§M0.18 27 Lois Gibson RHP 8 wins, 7 losses, 3.5 ERA
MM§M-0.31 28 Gina Malika LHP 7 wins, 8 losses, 1.6 ERA
MM§M-0.50 26 Jackie Malkovic RHP 6 wins, 10 losses, 5.4 ERA
MM§M-0.91 25 Erin Noland RHP 5 wins, 11 losses, 4.3 ERA
MM§M
MM§M—————————————
MM§MExcluded Records Report
MM§M—————————————
MM§Mjava.lang.NumberFormatException: For input string: “1.0a” in: O,15,Kavya Krishnappa,CF,1.0a,0.298,0.93
MM§Mjava.lang.NumberFormatException: For input string: “0.350b” in: I,17,Janie Doe,1B,1.25,0.350b,0.97
MM§Mjava.lang.NumberFormatException: For input string: “0.94c” in: I,20,Daisy Doalot,3B,1.25,0.285,0.94c
MM§MInvalidCategoryException: For category: “H” in: H,24,Nola Austin,LHP,2.0,0.225,4,12,1.2
MM§MMaximum player count of 24 exceeded for: O,38,Betty Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,39,Cate Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,40,Dee Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,41,Edie Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,42,Fay Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,43,Gigit Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,44,Hattie Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,45,Isabel Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,46,Jane Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,47,Kathy Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,48,Lola Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,49,Mary Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,50,Nina Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,51,Olivia Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,52,Pat Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,53,Quie Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,54,Reta Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,55,Siena Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,56,Tina Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,57,Ubi Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,58,Victoria Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,59,Willow Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,60,Xena Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,61,Yani Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,62,Zeta Jones,RF,1.0,.375,.950
MM§MMaximum player count of 24 exceeded for: O,63,Zaata Jones,RF,1.0,.375,.950
MM§MNumber of ignored records from file: 5
MM§M
MM©M —-jGRASP: operation complete.
Notes:
1. This project assumes that you are reading each double value as a String using next() and then parsing
it into a double with Double.parseDouble(…) as shown in the following example.
. . . Double.parseDouble(myInput.next());
This form of input will throw a java.lang.NumberFormatException if the value is not a double.
If you are reading in each double value as a double using nextDouble(), for example
. . . myInput.nextDouble();
then a java.util.InputMismatchException will be thrown if the value read in is not a double.
Project: Softball Players – Part 3 Page 12 of 12
Page 12 of 12
For this assignment, you should change your input to use Double.parseDouble(…) rather than
nextDouble(), since Web-CAT is looking for NumberFormatException rather than
java.util.InputMismatchException.
2. If you are using the JUnit Assert.assertArrayEquals method to check two Cardholder arrays for
equality, then the equals and hashCode methods must be implemented in your Cardholder class;
that is, Assert.assertArrayEquals calls equals(Object obj) on each object in the array, so Cardholder
must have an equals method that overrides the one inherited from the Object class. If Cardholder
does not override equals(Object obj), then the JUnit Assert.assertArrayEquals method will use the
inherited equals(Object obj) method which means two Cardholder arrays will be equal only if they are
aliases.
Below is a simplified equals method and hashCode method you are free to use.
public boolean equals(Object obj) {
if (!(obj instanceof SoftballPlayer)) {
return false;
}
else {
Cardholder c = (SoftballPlayer) obj;
return (name.equalsIgnoreCase(c.getName()));
}
}
public int hashCode() {
return 0;
}

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