The file contains names of reviewers and their reviews of different restaurants in the comma separated format. the first string is the name of the reviewer followed by a name of a restaurant and its rating. you are required to write a python program that computes a similarity score between any two reviewers using euclidean distances. an example data from the restaurant_reviews. txt file is given below: pete wellsworth’s reviews are: 'rooster and owl': 3.0, 'el sapo cuban social club': 4.0, 'punjab grill': 3.0, 'shibumi': 5.0,'mama chang': 3.5 jay samuel’s reviews are: 'el sapo cuban social club': 4.5, 'mama chang': 1.0, 'shibumi': 4.0the euclidean distance between jay samuel and pete wellsworth is computed as follows: 1) only consider the restaurants that both have reviewed. 2) take the difference between corresponding reviews. 3) sum the square of the differences 4) the square root of the sum of differences is the euclidean score. the shorter the distance the closer the two reviewers. for our example, this would be: (4.0 – 4.5)2 + (3.5 – 1.0)2 + (5.0 – 4.0)2 = 0.25 + 6.25 + 1 = 7.5 euclidean distance is square root of 7.5 = 2.7386your program should provide the following: 1) ability to read in a user provided filename which contains restaurant reviews in the comma separated format similar to the given file restaurant_reviews. txt2) functionality to compute the similarity between two reviewers provided by the user3) functionality to compute the similarity between one user provided reviewer and all other reviewers in the database