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Write a function processpeople() that takes the name of a file as a parameter. each line of the file corresponds to information about a person. in particular a line contains either a name (in the form lastname, firstname with no spaces in it) or a name (lastname, firstname) and a year. the function will process the file, creating a person object for each line in the file. the function will print information about each line as it processes it, as well as appending the new person object into a list. make sure to use person methods to display information rather than recreating the work you did for the first problem. once the entire file has been processed, the function returns the list of person objects created from the file. if the file is empty, the function should return an empty list. if the input file cannot be opened, the function should print a message to that effect and then return an empty list. the following shows what would be displayed for two example files which have been provided in the link. the file none. txt does not exist. note that your function must work on an arbitrary file that consists of valid lines. you cannot assume anything about the file except that it contains lines that have the format described above.

Aisha has finished working on a word processing document that contains 15 pages. she has added some special elements in the first three pages, page 9 and 10, and page 15 from the document. she wants to print only these pages to see how they look. which option is the correct way to represent (in the print dialog box) the pages that aisha wants to print

Problem 1 - hashing we would like to use initials to locate an individual. for instance, mel should locate the person mark e. lehr. note: this is all upper case. generate a hash function for the above using the numbers on your telephone. you know, each letter has a number associated with it, so examine your telephone keypad. generate 512 random 3 letter initials and take statistics on a linked list array size 512 to hold this information report how many have no elements, 1 element, 2 elements, does this agree with the hashing statistics distribution?