Function summarize_target test suite

[HrayrMuradyan]

Plan the summarize_target function test suite.

[Green-zy]

Expected Use Cases:

when target_type="categorical":

• correctly calacuate the average proportion of each calss

• check if the classes are balanced based on the given threshold

  when target_type="numerical":

• correctly visualize the distribution of a numerical target variable

Edge Cases:

• Empty dataset input.
• Missing or non-existent target column in the dataset.
• Extremely imbalanced class distribution for categorical targets (e.g., one class has 99% of the observations).
• Numerical target variable with all identical values, making distribution visualization non-informative.

Erroneous/Adversarial Inputs:

• Invalid target_type value (not within {"categorical", "numerical"}).
• Providing a non-numeric target column when target_type="numerical".
• Specifying a non-categorical target column when target_type="categorical".
• Passing a threshold value outside the valid range (negative or greater than 1).