Highlights
Objective
The key objectives of this assignment are to learn how to process messy text data using python. Data is always going to start in a form you may not want. So, you must massage the data into a form you do want. Python is a perfect tool for processing large volumes of raw data.
The following template files are provided:
• A1.ipynb : a skeleton Jupyter notebook file you can use to interactively work through your initial testing to implement the functions as defined below.
• create afl tsv.py : a skeleton main file for Challenge 1. Once you have got your code working in the Jupyter notebook, you should move the code you need here so that it will “pass” a set of automated tests that we will run to verify your code can produce valid outputs for each of the function challenges you have been given.
• validate afl tsv.py : a skeleton main file for Challenge 2. Same as above.
• find top wins.py : a skeleton main file for Challenge 3. Same as above.
• aflutil/helper.py : Several helper utility functions that are provided to read / write files in a specific format. You should look at all of these functions carefully as they will help you solve the challenges.
• aflutil/AFLGame.py : This is a helper class that is used only in the third challenge
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