Create the table required for the dynamic programming algorithm of Longest Common Subsequence. You are given the following Strings - X- "АВАВВАВА" Y =“ABBABBAB". Now use the table to compute the Longest Common Subsequence of "ABBABBA" and “ABABB". (Do not create new table).
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- Write the following python programs There are 26 students in COMP 3140 class. Generate a list of lists named L. Each list in L contains 5 random grades (60-100), representing the grades of 5 assignments of a student. Using Python high order function – Mapping, compute the average grade for each student.Which of the following statements regarding linked lists and arrays is correct? Group of answer choices: a. A dynamically resizable array makes insertions at the beginning of an array very efficient. b. Using a doubly linked list is more efficient than an array when accessing the ith element of a structure. c. A dynamically resizable array is another name for a linked list. d. Any type of list tends to be better than an array when there are a set number of maximum items known beforehand. e. If many deletions at any place in the structure were common, a linked list implementation would likely be preferable to an arrayAnswer the following questions for your initial discussion. There are various functions that can be used for both strings and lists. Conduct research to locate several functions which might be useful. What do the functions do? Why would you use them? What is the syntax?
- The function interleave_lists in python takes two parameters, L1 and L2, both lists. Notice that the lists may have different lengths. The function accumulates a new list by appending alternating items from L1 and L2 until one list has been exhausted. The remaining items from the other list are then appended to the end of the new list, and the new list is returned. For example, if L1 = ["hop", "skip", "jump", "rest"] and L2 = ["up", "down"], then the function would return the list: ["hop", "up", "skip", "down", "jump", "rest"]. HINT: Python has a built-in function min() which is helpful here. Initialize accumulator variable newlist to be an empty list Set min_length = min(len(L1), len(L2)), the smaller of the two list lengths Use a for loop to iterate k over range(min_length) to do the first part of this function's work. On each iteration, append to newlist the item from index k in L1, and then append the item from index k in L2 (two appends on each iteration). AFTER the loop…Algorithm A1: length(s)1. Initialize len to 0.2. Set a variable to the beginning index of string s.3. Repeat the following step till the string terminator is encountered.4. len = len +15. Exit run the above algorithms using functions.12 - fx =sort(StudentList!A2:F38,2, true) A C 1 Student ID Surname Forename 10009lAkins Lewis 10026 Allen Mary Explain the formula highlighted above and each of the parts in the formular. In other words, briefly describe in your own words what it does and what the result is. For this question, describe the following parameters in the formula above: - StudentList!A2:F38 is the range of cells (A2:F38) pulled from the sheet labeled Studentlist! - ,2 is - ,true is
- Give the index of the pivot value after the whole list below has been partitioned using the median-of-3 value as the pivot value. [93, 49, 60, 65, 40, 74, 50, 69, 58, 97, 64] Notes: • Your answer should be a single valid, non-negative, literal Python int value. For example, 123 is a valid int literal. • This is not asking for the complete quicksort. • Hint: you don't have to get everything in the exactly the right place, just the pivot value. You can do a rough partition, ensuring each value is on the appropriate side of the pivot value. • You can pre-check your answer (to check it's a valid, non-negative, literal int). Answer: (penalty regime: 10, 20, ... %) Precheck CheckTails Function Purpose: Produce a new column-based ( e.g. dict[str, list[str]] ) table with only the first N (a parameter) rows of data for each column. * Function name: Tails Parameters: 1. dict[str, list[str]] - a column-based table of data that_will not be mutated_ 2. int - The number of "rows" to include in the resulting list * Return type: dict[str, list[str]] Implementation strategy: 1. Establish an empty dictionary that will serve as the returned dictionary this function is building up. 2. Loop through each of the columns in the first row of the table given as a parameter. 1. Inside of the loop, establish an empty list to store each of the first N values in the column. 2. Loop through the first N items of the table's column, 1. Appending each item to the previously list established in step 2.1. 3. Assign the produced list of column values to the dictionary established in step 1. 3. Return the dictionary.Complete the analyze_text() function that takes a single string parameter - text. You can assume that the parameter string will have a length of at least 1. The function returns a list with 2 items, both of them tuples. The first tuple contains the unique vowels found in the parameter text, sorted in alphabetical order. The second tuple contains the unique consonants found in the parameter text, sorted in alphabetical order. In English, vowels are the letters "A", "E", "I", "O", and "U". Consonants are letters that are not vowels. Note that uppercase and lowercase letters should count as the same letter - an "A" and an "a" would both count as an "a". Some examples of the function being called are shown below. For example: Test text = "Hello world!" print("Text analysis:", analyze_text (text)) text = "Hello world!" text_analysis = analyze_text (text) print (type (text_analysis)) print (type (text_analysis[0])) print (type (text_analysis[1])) text = "I think, therefore I am." print("Text…
- in python Integer num_samples is read from input, representing the number of data samples to be read from input. List data_list contains the data samples read from the remaining input. For each element in data_list: If the element is greater than 25, output the element followed by ' at index ', the element's index in the list, and ' is flagged'. Otherwise, output the element followed by ' at index ', the element's index in the list, and ' is normal'.Given 2 strings, return their concatenation, except remove the last character of each and swap the order of the inputted words. The strings will be at least length 3. Ex: If the input is: bird penguin the output is: pengiubir Ex: If the input is: loving csce the output is: csclovinNotice that all of the data in the inner lists are represented as strings. You are to write the function convert_data, which should make modifications to the inner lists according to the following rules: If and only if a string represents a whole number (ex: '3' or '3.0'), convert the string to an int. If and only if a string represents a number that is not a whole number (ex: '3.14'), convert the string to a float. Otherwise, leave the string as a str.HINT: The provided helper function is_number may be used (attached image). QUESTION: Complete the docstring below.def convert_data(data: List[list]) -> None: """Convert each string in data to an int if and only if it represents a whole number, and a float if and only if it represents a number that is not a whole number. >>> d = [['abc', '123', '45.6', 'car', 'Bike']] >>> convert_data(d) >>> d [['abc', 123, 45.6, 'car', 'Bike']] >>> d = [['ab2'], ['-123'], ['BIKES', '3.2'],…