2. Write a function uniqueWords0 that takes as a parameter a string representing the name of a text file. The function returns a set of all the unique words in the file. Make sure to remove all punctuation (i.e. all commas, question marks, periods, colons, and semicolons see str.maketrans) before determining whether any words are duplicated so that the punctuation won't interfere with the process. Capitalization should be ignored. The information below shows how you would call the function unique Words0 and what it would show for a couple of sample executions. This is what the output looks like when running against the samples files: 'with', 'latest,creacivity', exploration, 'green,innovativecan ', '#16', 'including , , 'electives', 'the', 'influenced . , .broad., able , , ,conte xtwork', 'take, 'chis' 'depaul', 'a'wi1l, 'expected', 'cheychinkin g', 'animating', animation', technologies', 'creative', 'hand-drawn',ar', an', screen,nspiration', 'on', 'anked', students', 'program introduced , 'principles,motion, critical', courses,'1iberal'lexible,learni ng', of' 'production', 'arts', skills', 'emphasis', toin', 'are 'extre mely', 'and,then, is,degree,3d, other, 'within 2016creative ly', 'draw', interdisciplinary', 'experiment, 'foundation, stop', 'capture career",by','u',student,between', studios, 'ba, 'viewpoint,'be studiesreview,subjects, control', 'intellectual', emphasizes,conne ctions', 'their, 'software', tools, 'self-directed, 'sequence, 'which', 'br ing') 'simple", ocest',doc', 'this, 'a', ')