99爱在线视频这里只有精品_窝窝午夜看片成人精品_日韩精品久久久毛片一区二区_亚洲一区二区久久

合肥生活安徽新聞合肥交通合肥房產(chǎn)生活服務(wù)合肥教育合肥招聘合肥旅游文化藝術(shù)合肥美食合肥地圖合肥社保合肥醫(yī)院企業(yè)服務(wù)合肥法律

代寫COMP1721、代做java程序設(shè)計

時間:2024-02-21  來源:合肥網(wǎng)hfw.cc  作者:hfw.cc 我要糾錯



COMP1721 Object-Oriented Programming
Coursework 1: Creating & Using Classes
1 Introduction
This assignment assesses your ability to implement classes and use them in a small program.
Consider the GPS data generated by a device such as a mobile phone. Your current location is represented
as a point, consisting of a timestamp, a longitude (in degrees), a latitude (in degrees) and an elevation above
sea level (in metres). Movement while GPS is enabled generates a track: a sequence of points representing
successive samples from the GPS sensor.
Your main task is to implement classes named Point and Trackthat can be used to represent points and
tracks, along with a small program that demonstrates the use of these classes. Figure 1 is a UML class
diagram showing the required features of, and relationship between, the two classes.
Figure 1: Classes used in Coursework 1
2 Preparation
2.1 Files Needed
Download cwk1files.zip from Minerva and unzip it. The best way of doing this on a SoC Linux machine
is in a terminal window, via the command
unzip cwk1files.zip
This will give you a directory named cwk1, containing all of the files you need.
Remove the Zip archive, then study the files in cwk1. In particular, examine the file README.md , as this
provides guidance on how to run the tests on which your mark will be largely based.
Note: all code should be written in the .java files provided in the src/main/javasubdirectory.
2.2 Method Stubs
A suite of unit tests is provided with the files for this coursework. These tests are used to verify that the
methods of the two classes have been implemented correctly. You will be awarded one mark for each test
that passes. The starting point for the coursework is to make sure that the tests compile and run.This means
that it is necessary to begin by creating method stubs: dummy versions of each method that do just enough
that the tests will compile successfully.
Refer to Figure 1 for details of the stubs that are required, and note the following:
• All stubs should have the parameter lists and return types shown in the UML diagram
• Constructors should be implemented as empty methods (nothing inside the braces)
• Any method that returns a numeric value should just return a value of zero
• Any method that returns an object should just return the valuenull
1
Note also that thePoint class references a class from the Java standard library namedZonedDateTime . This
is part of Java’s standard Date/Time API, defined in the package java.time—see the API documentation
for further details. To use it, you will need to add animportstatement to the start of Point.java:
import java.time.ZonedDateTime;
When you have created stubs for all the methods shown in Figure 1, you can attempt to compile and run the
tests using Gradle. See README.md for full details of how Gradle can be used.We simply note here that you
can run the tests from a Linux or macOS command line with
./gradlew test
Omit the ./ from the start of this command if you are working from the Windows command prompt, or use
.\gradlew.batto invoke Gradle if you are using Windows Powershell.
3 Basic Solution
This is worth 18 marks.
Please read all of the subsections below before starting work. We also recommend that you gain some
experience of implementing classes by doing the relevant formative exercises before you start.
3.1 PointClass
To complete the implementation of thePoint class, make the following changes toPoint.java:
• Add a field to represent the timestamp, of typeZonedDateTime(see below).
• Add fields to represent longitude, latitude and elevation, all of typedouble.
• Add code to the constructor that initialises the fields to the values supplied as method parameters,
with validation done for longitude and latitude (see below).
• Modify the ‘getter’ methods (getTime(), getLongitude(), etc) so that they return the relevant field
values, instead of the defaults like 0 ornull that were returned by the stubs.
• Change toString() so that it returns a string representation of a Point looking like this:
(-1.54853, 53.80462), 72.5 m
(The values here are longitude, then latitude, then elevation. The string should be formatted exactly
as shown here. Note the specific number of decimal places being used for each number!)
Make sure that it is not possible to create a Point object with an invalid latitude or longitude. Use the
constants provided in the class to help you with this, and throw an instance of the provided exception class,
GPSException, if inappropriate coordinates are supplied.
As you replace each method stub with its correct implementation, rerun the tests.You should see a growing
number of tests changing in status from FAILED to PASSED.
3.2 TrackClass
For the basic solution, make the following changes toTrack.java:
• Add a field suitable for storing a sequence ofPoint objects.
• Modify the constructor that take a string as its parameter, so that it initialises the field used to store
the Point objects and then calls the readFile() method.
• Add to readFile() some code that will read data from the file with the given filename, createPoint
objects from this data and then store those Point objects as a sequence (see below).
• Modify the size() method so that it returns the number of points currently stored in the track.
• Modift the get() method so that it returns thePoint object stored at a given position in the sequence.
Position is specified as an int parameter and should be validated (see below).
• Modify the add()method so that it adds a new point, supplied as a method parameter, to the end of
the track.
2
The readFile() method will need to read CSV files, examples of which can be found in thedatadirectory.
It should use a Scannerto do this. A good approach here would be to read the file line-by-line, split up the
line on commas, then parse each item separately.The lectures discuss how a file can be read in this manner.
You can use the static methodparse() of the ZonedDateTimeclass to parse the timestamp.
readFile() should NOT catch any exceptions that might occur during reading of the file. It will need an
exception specification, declaring that anIOExceptioncould happen if the named file cannot be accessed.
Your implementation should also explicitly throw a GPSExceptionif any record within the file doesn’t
contain the exact number of values needed to create a Point object. Note that you do not need to include
GPSExceptionas part of the method’s exception specification, because this exception class is not one of
Java’s ‘checked exception’ types.
The get() method should use the int value passed to it as an index into the sequence ofPoint objects, but
before doing that the method should check this int value and throw an instance of GPSExceptionif it is
not within the allowed range. Once again, note that there is no need to include an exception specification
for this.
As you replace each method stub with its correct implementation, rerun the tests.You should see a growing
number of tests changing in status from FAILED to PASSED.
4 Full Solution
This is worth a further 12 marks. It involves completing the implementation of the Trackclass and then
writing a small program that uses the two classes.
4.1 TrackClass
If you’ve completed the basic solution, there should be four remaining method stubs inTrack.java, which
should be modified as indicated below.
• Modify lowestPoint() and highestPoint() so that they return thePoint objects having the lowest
and highest elevations, respectively.
• Modify totalDistance() so that it returns the total distance travelled in metres when moving from
point to point along the entire length of the track (see below).
• Modify averageSpeed()so that it returns the average speed along the track, in metres per second
(see below)
All four of these methods should throw aGPSExceptionif the track doesn’t contain enough points to do the
necessary computation.
To implementtotalDistance(), you will need to compute ‘great-circle distance’ between adjacent points
on the track. A method to do this already exists in the Point class. Given two Point objects, pand q, the
great-circle distance in metres between them (ignoring elevation) will be given by
double distance = Point.greatCircleDistance(p, q);
To implement averageSpeed()you will need to compute the amount of time that has passed between
measurements for the first and last points on the track.You can use theChronoUnittype for this: specifically,
the between()method, which can be called on the object ChronoUnit.SECONDS to yield the time interval
in seconds between twoZonedDateTimeobjects.
Note: the ChronoUnitclass is part of Java’s standard Date/Time API. To use it, you will need to add an
importstatement to Track.java:
import java.time.temporal.ChronoUnit;
As you replace each method stub with its correct implementation, rerun the tests. Your goal here is to end
up with all 26 tests passing. If you achieve this, you can be assured of getting at least 26 marks for the
coursework.
4.2 TrackInfoProgram
Edit the file TrackInfo.java. In this file, create a small program that creates a Trackobject from data in
a file whose name is provided as a command line argument. You program should display: the number of
points in the track; its lowest and highest points; the total distance travelled; and the average speed.
3
Requiring the filename as a command line argument means that it has to be supplied as part of the command
that runs the program; the program should not be prompting for input of the filename once it has started
running!
For example, if running the program directly within a terminal window, you would need to enter
java TrackInfo walk.csv
Note that you can run the program with a suitable command line argument via Gradle:
./gradlew run
This will run the program on the file data/walk.csv.
You can also check whether your program behaves correctly when no filename has been supplied on the
command line, by doing
./gradlew runNoFile
When your program is run on walk.csv, it should generate output very similar to this:
194 points in track
Lowest point is (-1.53637, 53.79680), 35.0 m
Highest point is (-1.5****, 53.80438), **.6 m
Total distance = 1.**4 km
Average speed = 1.441 m/s
Your output doesn’t need to be identical in layout, but it should provide all the data shown here, and numbers
should be formatted with the number of decimal places shown in this example.
If no filename is supplied on the command line, your program should print a helpful error message and then
use System.exit()to terminate, with a value of zero for exit status.
The program should intercept any exceptions that occur when reading from the file or performing computation. The program should print the error message associated with the exception and then use System.exit()
to terminate, with a non-zero value for exit status.
5 Advanced Tasks
For a few extra marks, implement ONE of two options suggested below.
These tasks are more challenging and will require additional reading/research. They are also worth
relatively few marks. Attempt them only if you manage to complete the previous work fairly quickly
and easily.
5.1 Option 1: KML Files
This is worth an additional 2 marks.
1. Add to theTrackclass a new method namedwriteKML. This should have a singleString parameter,
representing a filename. It should write track data to the given file, using Google’s Keyhole Markup
Language format.
2. Edit ConvertToKML.javaand add to it a program that converts a CSV file of track data into a KML
file. The program should expect filenames for these two files as command line arguments, with the
CSV file as the first argument and the KML file as the second argument. It should deal with missing
arguments and exceptions in the same way asTrackInfo.
3. Generate a KML file for the track represented bywalk.csv. You can do this with Gradle, using
./gradlew runKML
This will generate its output in a file walk.kml, in the build subdirectory.
Visualise the file by uploading it to Google Maps (see Figure 2) or by importing it into Google Earth.
Grab a screenshot of the result and place it in the cwk1directory so that it will be included in your
submission.
4
5.2 Option 2: Elevation Plot
This is worth an additional 4 marks.
1. Investigate JavaFX by reading David Eck’s online Java Notes and other online sources.In particular,
you will need to research how charts can be drawn in JavaFX.
2. Edit build.gradle and uncomment the various commented-out parts relating to JavaFX.
3. Edit the file PlotApplication.java and implement in this file a JavaFX application that plots
elevation as a function of distance along a track. As with TrackInfo, the file of track data should be
specified as a command line argument.
You can run your application onwalk.csvvia Gradle, with this command:
./gradlew runPlot
Figure 3 shows an example of what the plot could look like.
6 Submission
Use Gradle to generate a Zip archive containing all the files that need to be submitted:
./gradlew submission
This produces a file named cwk1.zip. Submit this file to Minerva, via link provided for this purpose. You
can find this link in the ‘Assessment and Feedback’ section, under ‘Submit My Work’.
Note: be careful to submit the correct Zip archive here! Make sure you do not accidentally submit the Zip
archive of provided files . . .
The deadline for submissions is 14.00 Wednesday 6th March 2024. The standard university penalty of 5%
of available marks per day will apply to late work, unless an extension has been arranged due to genuine
extenuating circumstances.
Note that all submissions will be subject to automated plagiarism checking.
7 Marking
40 marks are available for this assignment.
A basic solution can earn up to 24 marks (60% of those available); a full solution can earn up to 36 marks
(**% of those available).
Mark allocation breaks down as follows:
18 Tests for basic solution
8 Tests for full solution
4 TrackInfoprogram
4 Advanced task
6 Sensible use of Java and coding style
請加QQ:99515681  郵箱:99515681@qq.com   WX:codehelp 

掃一掃在手機打開當前頁
  • 上一篇:代寫MLDS 421: Data Mining
  • 下一篇:代做EEE3457編程、代寫Java/Python程序語言
  • 無相關(guān)信息
    合肥生活資訊

    合肥圖文信息
    急尋熱仿真分析?代做熱仿真服務(wù)+熱設(shè)計優(yōu)化
    急尋熱仿真分析?代做熱仿真服務(wù)+熱設(shè)計優(yōu)化
    出評 開團工具
    出評 開團工具
    挖掘機濾芯提升發(fā)動機性能
    挖掘機濾芯提升發(fā)動機性能
    海信羅馬假日洗衣機亮相AWE  復古美學與現(xiàn)代科技完美結(jié)合
    海信羅馬假日洗衣機亮相AWE 復古美學與現(xiàn)代
    合肥機場巴士4號線
    合肥機場巴士4號線
    合肥機場巴士3號線
    合肥機場巴士3號線
    合肥機場巴士2號線
    合肥機場巴士2號線
    合肥機場巴士1號線
    合肥機場巴士1號線
  • 短信驗證碼 豆包 幣安下載 AI生圖 目錄網(wǎng)

    關(guān)于我們 | 打賞支持 | 廣告服務(wù) | 聯(lián)系我們 | 網(wǎng)站地圖 | 免責聲明 | 幫助中心 | 友情鏈接 |

    Copyright © 2025 hfw.cc Inc. All Rights Reserved. 合肥網(wǎng) 版權(quán)所有
    ICP備06013414號-3 公安備 42010502001045

    99爱在线视频这里只有精品_窝窝午夜看片成人精品_日韩精品久久久毛片一区二区_亚洲一区二区久久

          9000px;">

                欧美tk—视频vk| 国产成人夜色高潮福利影视| 91精品国产乱码久久蜜臀| 成人亚洲一区二区一| 亚洲国产精品视频| 国产精品国产三级国产三级人妇| 欧美伦理电影网| 欧美性xxxxxxxx| 91在线你懂得| 成人涩涩免费视频| 国产成人aaa| 麻豆成人91精品二区三区| 一区二区在线观看不卡| 日本久久电影网| 久久91精品久久久久久秒播| 日本不卡一区二区三区高清视频| 国产精品国产自产拍在线| 国产日产亚洲精品系列| 久久免费电影网| 国产一区二区三区四区在线观看| 亚洲成av人片一区二区三区 | 亚洲国产三级在线| 亚洲在线一区二区三区| 亚洲另类在线视频| 一区二区三区四区精品在线视频| 亚洲另类春色校园小说| 一区二区三区四区不卡在线| 亚洲欧美经典视频| 国产精品亚洲一区二区三区在线| 亚洲图片欧美色图| 天天做天天摸天天爽国产一区| 日韩精品电影在线观看| 日本午夜一区二区| 捆绑调教美女网站视频一区| 国模少妇一区二区三区| 亚洲二区视频在线| 男人操女人的视频在线观看欧美| 日韩精品一二三| 国产91精品一区二区麻豆网站| caoporn国产一区二区| 国产欧美一区二区三区在线老狼| 国产精品久久久久久一区二区三区| 国产精品午夜在线观看| 国产成人在线电影| 99久久精品国产导航| 91国产丝袜在线播放| 在线播放中文一区| 久久久久一区二区三区四区| 国产欧美视频在线观看| 亚洲图片欧美综合| 国产精品18久久久久| 91在线无精精品入口| 欧美性极品少妇| 欧美一区二区三区视频免费播放| 国产日产欧美精品一区二区三区| 午夜精品久久久久| 久久不见久久见免费视频1| 色婷婷狠狠综合| 欧美成人乱码一区二区三区| 亚洲特级片在线| 久久国产精品区| 在线观看日韩av先锋影音电影院| 欧美成人一区二区三区在线观看 | 精品视频999| 中文字幕乱码一区二区免费| 视频一区欧美日韩| 91在线视频免费观看| 日韩精品一区二区三区老鸭窝| 精品国产乱码久久久久久闺蜜| 一区二区三区欧美在线观看| 国产麻豆9l精品三级站| 欧美日韩久久一区二区| 国产精品久久久久一区| 久久精品国产精品亚洲红杏| 91理论电影在线观看| 国产人成一区二区三区影院| 亚洲成人福利片| 99久久综合色| 精品国产免费一区二区三区香蕉| 亚洲人亚洲人成电影网站色| 捆绑调教一区二区三区| 91社区在线播放| 欧美日韩精品系列| 欧美va亚洲va在线观看蝴蝶网| 国产女人18水真多18精品一级做| 亚洲午夜精品一区二区三区他趣| 久久精品国产秦先生| 99这里只有精品| 久久精品一区二区三区四区| 91亚洲国产成人精品一区二三| 国产精品久久久久一区| 久草热8精品视频在线观看| 国产三区在线成人av| 亚洲一二三四区| 奇米影视7777精品一区二区| 欧美日韩高清一区二区| 亚洲精品亚洲人成人网| 91麻豆视频网站| 欧美日本一区二区三区四区| 日韩高清不卡一区二区| 久久99热99| 欧美日韩视频专区在线播放| 国产欧美综合色| www.亚洲免费av| 欧美片网站yy| 亚洲一区二区三区四区的| 在线观看一区二区精品视频| 国产女主播一区| 有码一区二区三区| 9人人澡人人爽人人精品| 88在线观看91蜜桃国自产| 波多野结衣91| 91精品久久久久久久99蜜桃| 色婷婷综合久色| 香蕉乱码成人久久天堂爱免费| 激情六月婷婷综合| eeuss影院一区二区三区| 日韩欧美在线网站| 精品综合免费视频观看| 欧美性色aⅴ视频一区日韩精品| 香蕉av福利精品导航| 粉嫩av亚洲一区二区图片| 日韩一区二区三区四区五区六区| 亚洲欧美在线视频观看| 99久久综合狠狠综合久久| 精品sm捆绑视频| 色综合中文字幕国产| 一区二区三区欧美在线观看| 亚洲精品高清在线| 日本乱人伦aⅴ精品| 国产精品久久二区二区| 欧美日韩精品一区视频| 亚洲免费av观看| 久久精品日产第一区二区三区高清版| 人人超碰91尤物精品国产| 欧美在线色视频| 日韩一区有码在线| 国产黑丝在线一区二区三区| 亚洲大片免费看| 日本精品视频一区二区| 国产精品久久国产精麻豆99网站| 成人高清免费观看| 国产真实乱偷精品视频免| 欧美肥胖老妇做爰| 精品国产伦一区二区三区观看方式| 狠狠色狠狠色综合系列| 91精品国产综合久久久蜜臀粉嫩 | 欧美国产精品中文字幕| 精品一区二区在线免费观看| 久久精品欧美日韩| 欧美96一区二区免费视频| 久久蜜臀精品av| 成人午夜av电影| 亚洲成人777| 欧美一区二区女人| 91亚洲精品久久久蜜桃网站| 久久久久久毛片| 高潮精品一区videoshd| 久久久久久亚洲综合影院红桃| 国产精品乱码一区二区三区软件| 日本久久一区二区三区| 欧美精品一级二级三级| 日本欧美加勒比视频| 欧美精品vⅰdeose4hd| 欧美aaaaaa午夜精品| 欧美tk—视频vk| 国产激情一区二区三区| 国产日韩欧美高清在线| 精品久久国产字幕高潮| 福利一区在线观看| 亚洲精品乱码久久久久久黑人| 亚洲va国产天堂va久久en| 日韩电影在线免费观看| 在线观看亚洲专区| 精品一区二区三区视频在线观看| 国产亚洲欧美在线| 亚洲精选在线视频| 欧美一级一区二区| 奇米精品一区二区三区在线观看| 精品日韩av一区二区| 五月婷婷激情综合网| 国产精品成人一区二区艾草 | 成人18精品视频| 一区二区三区精品在线| 欧美欧美欧美欧美| 久久99国内精品| 色先锋资源久久综合| 欧美日韩综合色| 全国精品久久少妇| 国产午夜精品久久久久久免费视| 日韩视频免费直播| av电影天堂一区二区在线观看| 夜夜揉揉日日人人青青一国产精品| 欧美一区二区黄色| 3d动漫精品啪啪1区2区免费| 久久亚洲一级片| 一区二区三区四区激情| 国产婷婷色一区二区三区| 成人黄色大片在线观看| 国产一区二区三区综合|