DF-MANAGER: Renamed

[amitir22]

Contents of PR:

• [x] Reallocate responsibility from DataFrameManager to BaseAlgo: now the categories management is done in BaseAlgo.
• [x] Add separate default columns for the anomaly map values csv: category, noise_timesteps, vmin, vmax.

Rename the file and the class and all instances of the word 'results' to 'data' or 'DataFrame'. Add more default columns: 'noise_timesteps', 'vmin', 'vmax'. Create separate dataframe managers; One for managing results, and the other for managing vmin, vmax per category and timesteps. Implement usage of the new columns.

[talafek96]

calculate 10% percentile and 90% percentile of current amap
if category, timesteps not in data:
    if current image is with an anomaly (according to test label):
        df[df.category == .., df.num_timesteps == ..].vmin <- 10% percentile,   df[df.category == .., df.num_timesteps == ..] <- 90% percentile
        return df.vmin, df.vmax  
    return default vmin, vmax

otherwise,
if the current image is with an anomaly (according to the test label):
    In the df, add to the average of the corresponding vmin the result of the 10% percentile and do the same with vmax and the 90% percentile
return the corresponding vmin, vmax results from the df