You are given a custom function, sum_row(), the result of which is the sum of the first and second columns divided by 10.5.
Complete the solution() function, which accepts a pandas dataframe as an argument. Use the .apply() method with the sum_row() function and use result_type=reduce in the resulting dataframe. The output must be a reduced column (axis=1).
Store the result in the df variable and don't remove the print() statement.