Implement the unique_names method. When passed two arrays of names, it will return an array containing the names that appear in either or both arrays. The returned array should have no duplicates.

For example, calling unique_names(["Ava", "Emma", "Olivia"], ["Olivia", "Sophia", "Emma"]) should return an array containing Ava, Emma, Olivia, and Sophia in any order.

Implement a group_by_owners function that:

• Accepts a hash containing the file owner name for each file name.
• Returns a hash containing an array of file names for each owner name, in any order.

For example, for hash {'Input.txt' => 'Randy', 'Code.py' => 'Stan', 'Output.txt' => 'Randy'} the group_by_owners function should return {'Randy' => ['Input.txt', 'Output.txt'], 'Stan' => ['Code.py']}.

As part of a data processing pipeline, complete the implementation of the pipeline method:

• The method should accept a variable number of functions, and it should return a new function that accepts one parameter arg.
• The returned function should call the first function in the pipeline with the parameter arg, and call the second function with the result of the first function.
• The returned function should continue calling each function in the pipeline in order, following the same pattern, and return the value from the last function.

For example, pipeline(-> (x) { x * 3 }, -> (x) { x + 1 }, -> (x) { x / 2 }) then calling the returned function with 3 should return 5.