The problem is that the data file is corrupted. You do not know where the file is corrupted, but you know that if you reach a data column that is not an integer, that you should stop processing all years after that data column and move to the next row, because all the data after any corrupted data is untrustworthy or also corrupted. Your task is to write a function named calculate_total_production. Your function must take one parameter, a dictionary containing coal production of the same format returned by read_data_file. Your function must use a while loop to generate a dictionary where the key is the county name and the value is the total number of tons of coal produced in that county. Your function should return the generated dictionary. Verify that the function works as intended by adding statements that include a call to this function. D Run lab12_p1.py x Online (1) zbessant Bessant lab12_p5.py x lab12 p3.py x lab12 p2.pyx coal_production. 1 # Problem #5 2 3 # Read the contents of a coal data file and return the data in a dictionary format. 4 def read_data_file(filename): 5 6 7 8 data_file = open(filename, "r") header_line = data_file.readline() # Read the header line of the file to extract years years header_line.strip().split(",")[1:] # Extract the years from the header line 9 10 11 # Initialize an empty dictionary to store the data data_dict = {} 12 13 # Iterate over each line in the data file CONSOLE SHELL Hint: Using isinstance(x, int) will return True when x is and integer and False otherwise. 5. In lab12_p5.py a function read_data_file has been created. This function takes in one string parameter that represents the name of the file to be processed. This function reads data from the provided file and returns a dictionary representation of the data stored in this file. The data file is a comma-separated file with the following columns: • County name • Tons of coal produced in 1900 • Tons of coal produced in 1910 © Run Online (1) zbessant Bessant lab12_p1.py x lab12_p5.py x lab12 p3.pyx lab12_p2.py x coal production. 1 # Problem #5 2 3 4 5 6 7 8 # Read the contents of a coal data file and return the data in a dictionary format. def read_data_file(filename): data file open(filename, "r") header_line = data_file.readline () # Read the header line of the file to extract years years = header_line.strip().split(",")[1:] # Extract the years from the header line Tons of coal produced in 1920 9 10 Tons of coal produced in 1930 11 # Initialize an empty dictionary to store the data data_dict = {} Tons of coal produced in 1940 12 13 # Iterate over each line in the data file Tons of coal produced in 1950 • Tons of coal produced in 1960 • Tons of coal produced in 1970 • Tons of coal produced in 1980 • Tons of coal produced in 1990 Tons of coal produced in 2000 Tons of coal produced in 2010 The returned data structure is a nested dictionary. The key of the top-level (outer) dictionary is the name of the county, and its value is another dictionary. In the second- CONSOLE SHELL Check Answer Reset to Template Recent Submissions