Use np.min to get the minimal value for each column. col_min should be used to save the output. # TODO 1.2 col_min = print(f"col_min output: \n {col_min}") print(f"col_min shape: {col_min.shape}") todo_check([ (col_min.shape == (5,),"col_min does not have the correct shape of (5,)"), (np.all(col_min == np.array([2,2,2,2,2])),'col_min does not have the correct values') ])   expected output

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Lock Objects

The lock object is a feature included in the Advanced Business Application Programming (ABAP) Data Dictionary. They are used to maintain data consistency while inserting and updating data in a database.