Using PYTHON,

A- Define Objects Define a function called 'list_set_length' to assign items_list= [1, 2, 3, 4, 3, 2, 1] as a list object, and items_set = {1, 2, 3, 4, 3, 2, 1} as a set object. Use the len function, print the size of the list and size of the set.

B- Comprehension Python provides for expressions called comprehensions that let you build collections out of other collections. Heres an example:

>>>{x*y for x in {1,2,3} for y in {2,3,4}}

{2, 3, 4, 6, 8, 9, 12}

This is said to be a set comprehension because its values are sets. The notation is similar to the traditional mathematical notation for expressing sets in terms of other sets. To compute the value, Python iterates over the elements of the sets, temporarily binding the control variables x and y to each element in turn and evaluating the expression x*y in the context of that binding. Each of the values obtained is an element of the final set. Assume that S and T are assigned sets. Without using the intersection operator (&), write a function called 'set_intersect' that uses comprehension to returns the intersection of S and T. Hint: Use a membership test in a conditional statement at the end of the comprehension. Try out your comprehension with S = {1,2,3,4} and T = {3,4,5,6}.