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COMP226 Assignment

创建日期：2024-09-10 16:12:17

所属分类：计算机computer science

标签： COMP226

Assignment

Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: THEend8_

Warning

Submissions are automatically put through a plagiarism and collusion detection system. Students

found to have plagiarized or colluded will likely receive a mark of zero. Do not discuss or show your

work to others, and do not search for solutions to the assignment online. In previous years, students

have had their studies terminated and left without a degree because of plagiarism or collusion.

Rscript from Rstudio

In this assigment, we use Rscript (which is provided by R) to run our code, e.g.,

Rscript main.R template.R input/book_1.csv input/empty.txt

In R studio, you can call Rscript from the "terminal" tab (as opposed to the "console"). On Windows,

use Rscript.exe not Rscript:

Rscript.exe main.R template.R input/book_1.csv input/empty.txtDistributed code and sample input and output data

As a first step, please download comp226_a1.zip via the assignment page on Canvas. Then unzip

comp226_a1.zip, which will yield the following contents in the directory comp226_a1:

comp226_a1

■■■ common.R

■■■ input

■ ■■■ book_1.csv

■ ■■■ book_2.csv

■ ■■■ book_3.csv

■ ■■■ empty.txt

■ ■■■ message_a.txt

■ ■■■ message_ar.txt

■ ■■■ message_arc.txt

■ ■■■ message_ex_add.txt

■ ■■■ message_ex_cross.txt

■ ■■■ message_ex_reduce.txt

■ ■■■ message_ex_same_price.txt

■■■ main.R

■■■ output

■ ■■■ book_1-message_a.out

■ ■■■ book_1-message_ar.out

■ ■■■ book_1-message_arc.out

■ ■■■ book_2-message_a.out

■ ■■■ book_2-message_ar.out

■ ■■■ book_2-message_arc.out

■ ■■■ book_3-message_a.out

■ ■■■ book_3-message_ar.out

■ ■■■ book_3-message_arc.out

■■■ template.R

2 directories, 23 files

Brief summary

You are provided with three .R files, two complete, which should not be edited:

• main.R is the file you will run, e.g. with Rscript, by specifying several command line arguments

described below (see example above);

• common.R contains complete working functions that are used by main.R in conjunction with the

incomplete functions in template.R;

and one incomplete file:

• template.R is the file that you will edit -- the distributed version contains empty functions. It contains

10 empty functions.

If you run main.R using template.R as it is distributed, it runs without error, but does not produce the

desired output because the first 6 functions in template.R are provided empty. To get 70%, you will need to

correctly complete these 6 functions; if your answer is only partially correct you will get a mark less than 70%.

If you have correctly completed all these 6 functions, you can then -- and only then -- get marks for the 4

"extra" functions, which together account for 30% of the marks.

You should submit a single R file that contains your implementation of some or all of these 10 functions. Your

submission will be marked via extensive automated tests of correctness across a wide range of example

cases, with some chosen randomly at test time:• The tests for the first 6 functions, which give up to 70% of the marks will run at the time of submission

and are fully visible pre-deadline on CodeGrade (detailed guidance on using CodeGrade to improve

your mark can be found at the end of this document);

• The tests for the final 3 functions will only run post-deadline, and only if you got full marks for the

first 6 functions.

You can (and if required should) submit multiple times to repeatedly use the CodeGrade pre-deadline tests;

for a correct solution CodeGrade will show that you pass all tests and have thus achieved the first 70% of

marks. It probably does not make sense for you to work much on the final 4 functions until you have achieved

this and submitted completely correct versions of the first 6 functions.

In addition to the visible pre-deadline tests on CodeGrade, for the first 6 functions, correct sample output is

provided so that you can check correctness of your implementations "offline" (without submitting to

CodeGrade), for example with a tool like diff (https://en.wikipedia.org/wiki/Diff) to compare the output that you

produce with the correct output. Offline testing is quick to do once you have set it up, and if you match all the

offline examples then chances are that you will also pass the CodeGrade tests (but make sure that you

check this to avoid nasty surprises).

template.R versus solution.R

Throughout the rest of this handout, we show example output from the incomplete template.R as well

as using a full solution file "solution.R" that contains a correct implementation of all the functions.

Obviously, you are not given the file solution.R, you need to create it from template.R.

The first 6 functions to implement

The first 6 functions, which are worth 70% of the marks, are broken down into two groups. The percentages

in square brackets show the breakdown of the marks by function.

Order book stats:

1. book.total_volume <- function(book) [5%]

2. book.best_prices <- function(book) [5%]

3. book.midprice <- function(book) [5%]

4. book.spread <- function(book) [5%]

These first 4 functions are intentionally very easy, and are meant to as get you used to the format of book.

The next 2 functions are more involved and relate to reconstructing the order book from an initial book and a

file of messages.

Reconstructing the limit order book:

5. book.reduce <- function(book, message) [15%]

6. book.add <- function(book, message) [35%]

Running main.R with template.R

An example of calling main.R with template.R is as follows.

Rscript main.R template.R input/book_1.csv input/empty.txt

As seen in this example, main.R takes as arguments the path to three input files (the order of the

arguments matters):1. an R file with the functon implementations (template.R in the example)

2. an initial order book (input/book_1.csv in the example)

3. order messages to be processed (input/empty.txt in the example)

Let's see the source code of main.R and the output that it produces

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COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 CIVL2010 ECMT2150 CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 MOEC0021 STA 106 ENGG 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EMATM0051 COMP220 BLAW1002 E20 TCP8001 ECON61001 EART40005 ECONM1022 MATH 365 MATH 367 ELEC6218 COMP 5812M EDUC 5061M ELEC ENG 1101 equation MATH6174 ST334 C4 EC9570 A33648 EBUS603 ECON47815 stata WFMS0001 PEM102 INF6060 ionically ELECTRICAL MATH 375 MMW 12 MKTG860 ECON60401 ALY6010 SOST20131 Introduction COM3524 MME2 GGR305 JNB 538 EECS101 COMM5030 IEOR E4601 2B CSC336 EN2315 LAW 432 CSC263 MATH2001 OLET1143 CSCB63 SIT772 COMM1170 STAT 441 MS930 INFT3050 GLBH0030 Stat 120B MAST10007 MGEC61 Machine GGR 252H1S ECON7030 Financial Marketing MGMT30019 ECON5120 SDSC 8009 CSC165H1S DSCI 551 3081W ACM41000 ECA 5304 MATH 1064 ECSE444 DATA 604 COMP7105 MIE1615 ECON4004 ENV200H1S EC481 MKT 306 EC1B1 MATH08051 ALY6140 CS260C CSE30 MSIN0226 CS4103 CSC3064 AM16 COMP11212 CSE4101 PSTAT 174 Math 380W CNT 5106C STAT 310 FIN2028 CS5014 STAT 425 COMP 4102A ELEC2140 MANF9544 QRM 9 QRM 8 ECON 457 COMPSCI 4091 MATH 523 DNSC-4211 PEAS 6000 MSIN0180 COMP2119 A2A HT 2022 IB93F0 MAS316/414 ACCT2522 MSIN0181 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