Cardiff School of Computer Science and Informatics Coursework Assessment Pro-forma Module Code: CMT309 Module Title: Computational Data Science Lecturer: Dr. Matthias Treder, Dr. Luis Espinosa-Anke Assessment Title: CMT309 Programming Exercises Assessment Number: 1 Date set: 27-11-2020 Submission date and time: 29-01-2021 at 9:30am Return date: before 26-02-2021 This assignment is worth 30% of the total marks available for this module. If coursework is submitted late (and where there are no extenuating circumstances): 1 – If the assessment is submitted no later than 24 hours after the deadline, the mark for the assessment will be capped at the minimum pass mark; 2 – If the assessment is submitted more than 24 hours after the deadline, a mark of 0 will be given for the assessment. Your submission must include the official Coursework Submission Cover sheet, which can be found here: https://docs.cs.cf.ac.uk/downloads/coursework/Coversheet.pdf Submission Instructions Your coursework should be submitted via Learning Central by the above deadline. You have to upload the following files: Description Type Name Cover sheet Compulsory One PDF (.pdf) file Student_number.pdf Your solution to question 1 Compulsory One Python (.py) file Q1.py Your solution to question 2 Compulsory One Python (.py) file Q2.py Your solution to question 3 Compulsory One Python (.py) file Q3.py For the filename of the Cover Sheet, replace ‘Student_number’ by your student number, e.g. “C1234567890.pdf”. Make sure to include your student number as a comment in all of the Python files! Any deviation from the submission instructions (including the number and types of files submitted) may result in a reduction of marks for the assessment or question part. You can submit multiple times on Learning Central. ONLY files contained in the last attempt will be marked, so make sure that you upload all files in the last attempt. Staff reserve the right to invite students to a meeting to discuss the Coursework submissions. Testbed The testbed is a website you can use to upload your implementations of the questions. It checks your implementations against the correct solutions for a number of testcases. You use the testbed to make sure that: – Your function does not crash, that is, there is no Python errors when trying to run the function. – Compare the results of the testcases to your results. For Q1 and Q3, passing all the testcases in the testbed does not assure that you will get full marks. We will use additional testcases (not disclosed) to test your functions. For Q2, all the testcases are shown in the question. How to use the testbed: – Using your browser, navigate to testbed.cs.cf.ac.uk. – On the website, choose as module CMT309 and enter your credentials to log on. – Upload your file (Q1.py, Q2.py, or Q3.py) to the testbed and press run. Your code will be executed for a number of testcases specified in the questions. If any errors occur, you need to correct your code. – You can upload and test your files as many times as you want. It is not recorded and will not affect the mark. IMPORTANT: You must make sure that your file executes and does not crash before submitting to Learning Central. Any function that crashes or does not execute will receive 0 marks on the respective (sub)question. Note that the testbed is only provided for your convenience. You still need to submit your function to Learning Central. Assignment Start by downloading the following files from Learning Central: • Q1.py • Q2.py • Proper_nouns.txt • Q3.py Then answer the following questions. You can use any Python expression or package that was used in the lectures and practical sessions. Additional packages are not allowed unless instructed in the question. Question 3 – Function renamer (Total 30 Marks) You are working on a large-scale software project involving thousands of different Python files. The files have been written by different programmers and the naming of functions is somewhat inconsistent. You receive a new directive stating that the function names all have to be in camel case. In camel case, function names consisting of multiple words have a capital letter in each word and most underscores are removed. For instance, def MyArithmeticCalculator is in camel case but def my_arithmetic_calculator is not in camel case. You want to write a Python program that automatically processes Python code and renames the function names instead of doing it by hand. The instruction states that: 1. All functions names need to be changed to camel case. E.g. a function calculate_speed_of_vehicle needs to be renamed to CalculateSpeedOfVehicle. 2. If the function has one or more leading ‘_’ (underscores) they need to be preserved. All other underscores need to be removed. E.g. a function __calc_size is renamed to __CalcSize. 3. If the function is already in camel case, you do not need to change it but it still needs to appear in the dictionary d specified below. 4. You can assume that there will be no name clashes. That is, a given function name which is not in camel case will not already appear in camel case elsewhere. E.g. if there is a function print_all_strings then there is no function PrintAllStrings elsewhere in the code. 5. Tip: You can use regular expressions to find the function names. To implement this, write a function function_renamer(code) that takes as input a string code that represents the Python code. It is typically a multi-line Python string. Your function needs to return the tuple (d, newcode): • d is a nested dictionary where each key corresponds to the original function name. The value is a nested dictionary that has the following items: o hash: hash code of the original function name (tip: use Python’s hash function) o camelcase: camel case version of original function name o allcaps: all caps version of original function name • newcode is a string containing the code wherein all function names have been renamed by their camel case versions. Note that you need to change the function name and also all other locations where the function name is used (e.g. function calls). You should not change anything else in the code (e.g. the contents of any strings). To clarify this, a few examples are given next. Example 1: Assume your input code is the multi-line string def add_two_numbers(a, b): return a + b print(add_two_numbers(10, 20)) After processing it with your function, the code should be changed to def AddTwoNumbers(a, b): return a + b print(AddTwoNumbers(10, 20)) The nested dictionary is given by d = {‘add_two_numbers’: {‘hash’:-9214996652071026704, ‘camelcase’:’AddTwoNumbers’, ‘allcaps’:’ADD_TWO_NUMBERS’} } Example 2: Assume your input code is the multi-line string def _major_split(*args): return (args[:2], args[2:]) def CheckTruth(t = True): print(‘t is’, t) return _major_split([t]*10) x, y = _major_split((10, 20, 30, 40, 50)) CheckTruth(len(x) == 10) After processing it with your function, the code should be changed to def _MajorSplit(*args): return (args[:2], args[2:]) def CheckTruth(t = True): print(‘t is’, t) return _MajorSplit([t]*10) x, y = _MajorSplit((10, 20, 30, 40, 50)) CheckTruth(len(x) == 10) The nested dictionary is given by d = {‘CheckTruth’: {‘hash’:-6410081306665365595, ‘camelcase’:’CheckTruth’, ‘allcaps’:’CHECKTRUTH’}, ‘_major_split’: {‘hash’:484498917506710667, ‘camelcase’:’_MajorSplit’, ‘allcaps’:’_MAJOR_SPLIT’} } Testbed: If you run function_renamer in the testbed, the following testcases will be tested: – Example 1 (see above) – Example 2 (see above) As a starting point, use Q3.py from Learning Central. Do not rename the file or the function. Learning Outcomes Assessed • Use the Python programming language to complete a range of programming task • Demonstrate familiarity with programming concepts and data structures • Use code to extract, store and analyse textual and numeric data Criteria for assessment Credit will be awarded against the following criteria. The score in each implemented function is judged by its functionality. For all questions, the functions
you have implemented will be tested against different test cases to judge their functionality. Additionally, quality will be assessed. Please use the testbed to double check your question after you change it and before you submit it in Learning Central: Any function that crashes or does not execute will receive 0 marks on the respective (sub)question. The below table explains the criteria. Q1, Q2, Q3 Mark Functionality (80%) Quality (20%) Distinction (70-100%) Fully working application that demonstrates an excellent understanding of the assignment problem using relevant python approach Excellent documentation with usage of __docstring__ and comments Merit (60-69%) All required functionality is met, and the application are working probably with some minors’ errors Good documentation with minor missing of comments Pass (50-59%) Some of the functionality developed with and incorrect output major errors Fair documentation Fail (0-50%) Faulty application with wrong implementation and wrong output No comments or documentation at all Feedback and suggestion for future learning Feedback on your coursework will address the above criteria. Feedback and marks will be returned within 4 weeks of your submission date via Learning Central. In case you require further details, you are welcome to schedule a one-to-one meeting. Feedback from this assignment will be useful for next year’s version of this module as well as the Data Science Foundations and Statistical Programming modules. 欢迎咨询51作业君
