Do the following:

write a function named read_dictionary that will open a CSV file for reading and use a csv.reader to read each row and populate a compound dictionary with the contents of the products.csv file. The read_dictionary function must have this header and documentation string:

 def read_dictionary(filename, key_column_index): """Read the contents of a CSV file into a compound dictionary and return the dictionary. Parameters filename: the name of the CSV file to read. key_column_index: the index of the column to use as the keys in the dictionary. Return: a compound dictionary that contains the contents of the CSV file. """

Recall that each item in a dictionary has a key and a value. Each item in the products dictionary must have a product number as the key and a list with the product number, product name, and price as the value as shown in the following table.

Products
Key	Value
"D150"	["D150", "1 gallon milk", 2.85]
"D083"	["D083", "1 cup yogurt", 0.75]
"D215"	["D215", "1 lb cheddar cheese", 3.35]
"P019"	["P019", "iceberg lettuce", 1.15]
"P020"	["P020", "green leaf lettuce", 1.79]
"P021"	["P021", "butterhead lettuce", 1.83]
"P025"	["P025", "8 oz arugula", 2.19]
"P143"	["P143", "1 lb baby carrots", 1.39]
"W231"	["W231", "32 oz granola", 3.21]
"W112"	["W112", "wheat bread", 2.55]
"C013"	["C013", "twix candy bar", 0.85]
"H001"	["H001", "8 rolls toilet tissue", 6.45]
"H014"	["H014", "facial tissue", 2.49]
"H020"	["H020", "aluminum foil", 2.39]
"H021"	["H021", "12 oz dish soap", 3.19]
"H025"	["H025", "toilet cleaner", 4.50]

In your receipt.py program, write another function named main that does the following:

Calls the read_dictionary function and stores the compound dictionary in a variable named products_dict.

Prints the products_dict.

Opens the request.csv file for reading.

Skips the first line of the request.csv file because the first line contains column headings.

Uses a loop that reads and processes each row from the request.csv file. Within the body of the loop, your program must do the following for each row:

Use the requested product number to find the corresponding item in the products_dict.

Print the product name, requested quantity, and product price.

Because product number D083 appears twice in the request.csv file, your program must not read the request.csv file into a dictionary. Recall that each key in a dictionary is unique. If your program reads the request.csv file into a dictionary, when your program reads line 3 of the request.csv file, your program will put a request for four yogurts into the dictionary. Then when your program reads line 6 of the request.csv file, your program will replace the request for four yogurts with a request for three yogurts. In other words, if your program reads the request.csv file into a dictionary, your program will think that the customer ordered only three yogurts instead of the seven (4 + 3) that he ordered. Therefore, your program must not read the request.csv file into a dictionary but should instead read and process each row similar to example 3 in the preparation content for this lesson.

At the bottom of your receipt.py file, add a call to the main function. Be certain to protect the call to main with an if statement as taught in the preparation content for lesson 5.