Finally, we will do some simple analysis - ranking of words. Write afunction word_ranking(corpus, n, sort_index) which takes inputparameters corpus (type list), n (type int), and sort_index (type int) andreturns a list containing tuples of words and their frequencies in the topn of words. Here, corpus is a list of sentences. n is the number of rankedwords to return. The resulting list should then be sorted based on thesort_index; sort_index = should sort the list of tuples in ascendingalphabetical order, while sort_index = 1 should sort the list of tuples bythe frequencies in descending order. All other numeric values forsort_index should return an empty list (don't need to consider non-integer inputs). For example, we have:corpus = ['hi hi hi hi', 'hello hello say bye', 'bye bye']n = 3sort_index = 1The function should return:[('hi', 4), ('bye', 3), ('hello', 2)]While sort_index = 0 should return:[('bye', 3), ('hello', 2), ('hi', 4)]You can assume n would be selected such that exactly n ranked wordswill be matched.

def word_ranking(corpus, n, sort_index): # function to decide to sort # -1 * frequncy…

Answered: Finally, we will do some simple…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Using the function provided, write a function that decides whether two lists are "identical". That is, if cycling by any number N makes the lists identical, the function should return True, otherwise, it should return False. for example identical([1,2,3,4,5], [5,4,1,2,3,]) should give True and identical([1,2,3,4,5,6], [1,2,3,5,4]) should give False.
Finally, we will do some simple analysis – ranking of words. Write a function word_ranking(corpus, n, sort_index) which takes input parameters corpus (type list), n (type int), and sort_index (type int) and returns a list containing tuples of words and their frequencies in the top n of words. Here, corpus is a list of sentences. n is the number of ranked words to return. The resulting list should then be sorted based on the sort_index; sort_index = 0 should sort the list of tuples in ascending alphabetical order, while sort_index = 1 should sort the list of tuples by the frequencies in descending order. All other numeric values for sort_index should return an empty list (don't need to consider non-integer inputs). For example, we have: corpus = ['hi hi hi hi', 'hello hello say bye', 'bye bye']n = 3sort_index = 1 The function should return: [('hi', 4), ('bye', 3), ('hello', 2)] While sort_index = 0 should return: [('bye', 3), ('hello', 2), ('hi', 4)] You can assume n would…
In Kotlin, Write a recursive function called myZip, with an expression body. MyZip takes two Lists and returns a List of Pairs in which each value may be any type (I suggest your start by thinking out how to represent this data type). The pairs consist of corresponding elements in the two lists (the first element of the first list and the first element of the second list, etc). The base case should be that either (or both) of the original lists has length 1, so that, if the lists have different length, the zipping stops when the first list runs out of values.
Write the code in python to define the function has_adjacent_repeats(mystr), which takes a string parameter and returns a boolean result. - If mystr has at least one instance of adjacent characters being equal, return True - Otherwise, return False Hint: You can iterate over the positive indices i for characters in mystr: 1, 2, 3, ...., len(mystr)-1 with a for loop. For each i, if the character at index i matches the character at index i - 1, return True. Otherwise, if no doubled character is found in the entire string, return False. For example: Test Result if not (has_adjacent_repeats("NOODLES") is True): print("error") if not (has_adjacent_repeats("Bananas") is False): print("shwoopsie") if not (has_adjacent_repeats("Hanoverr") is True): print("error")
The same professor writes a program to analyze the chat logs from the various lectures as a partial measure of class participation. Each chat log consists of multiple lines, each of form TIME, NAME, COMMENT, in the order in which they were posted to the chat . The algorithm then sorts all that data - across all the chat logs - in order of student names, and scores each set using a metric based on the number of contributions and their length. [a] What are the various input sizes to consider when analyzing the algorithmic approaches? (One is the number of students in the class, but that is not the only factor.) [b] Which sorting algorithm do you think is best suited for the sorting portion of this algorithm and why? [c] What is the time complexity of the sorting algorithm chosen in step [b] as a function of the various input sizes identified in step [a]? [d] What is the overall time complexity of the chat analysis program as described above?
Write a function filter_codes(list_codes) that receives a list of codes and returns another list containing those codes that: Only have numeric characters; and Are at least 2 characters long; and At most 6 characters long Hint: remember that Python has a built-in function for determining if a string only contains numeric characters. solve using python
Write a function mode (numlist) that takes a single argument numlist (a non-empty list of numbers), and returns the sorted list of numbers which appear with the highest frequency in numlist (i.e. the mode, except that we want to be able to deal with the possibility of there being multiple mode values, and hence use a list ... and sort the mode values while we are at it ... obviously). For example: >>> mode ([2, 0, 1, 0, 2]) [0, 2] >>> mode([5, 1, 1, 5, 1]) [1] >>> mode ([4.0]) [4.0]
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