Tools for DataFrame processing and importing 3W dataset

[zRafaF]

Implements:

• find_df_transitions: Finds transitions in the dataset that go over a treshold;
• split_df_percentages: Function to split the data in its percentages.

QoL

• Added instructions for testing the code with pytest
• Added testing requierementes
• Created vscode settings file: This will allow to set standard formatting to the code base, i suggest using black.

[zRafaF]

• Imported 3w test dataset to the codebase

  • Loading the 3W dataset is possible with bibmon.load_3w() it returns the df and the config file parsed with ConfigParser

• Added three_w.tools, a file that stores tooling specifically for the 3w dataset

three_w.tools

• Created load_dataset_ini, a function to load the config file
• Created split_dataset, a function to prepare the dataset for training, it allows the user to split the data when a transition state happnes, it also allows a subdivision of the dataset in training and validation dfs

QoL

• Added unity tests to the new functions

[zRafaF]

User can now pick another dataset from 3w to download. It will be downloaded and loaded using BytesIO so no file is written to the user's file system,

The download progress is displayed with tqdm