Testing with multiple assert statements

You're now going to test the function split_into_training_and_testing_sets() from the models module.

It takes a NumPy array containing housing area and prices as argument.

The function randomly splits the argument array into training and testing arrays in the ratio 3:1, and returns the resulting arrays in a tuple. This means that if the argument array had n rows, the training array will have int(0.75 * n) rows.

You can see an example argument and the corresponding expected return value by printing out the variable example_argument and expected_return_value respectively in the IPython console.

numpy as np, pytest and split_into_training_and_testing_sets have already been imported for you.

Calculate the expected number of rows of the training array using the formula int(0.75*n), where n is the number of rows in example_argument, and assign the variable expected_training_array_num_rows to this number.

Take Hint (-7 XP)

Exercise

Testing with multiple assert statements

Instructions 1/4