Consider the adjacency matrix below. Upload a picture (it can be hand drawn) of the adjacency list of the graph. Note: File size must not exceed 1 MB. * C 1 C 1 1 1 1 1 D. 1. 1. E
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- you need to design, analyze, and implement algorithms to read in a sequence of characters from standard input and maintain the characters in a linked list with no duplicates. When you read in a previously unseen character, insert it at the front of the list. When you read in a duplicate character, delete it from the list and reinsert it at the beginning. The program implements the well-known move-to-front strategy which is useful for caching, data compression, and many other applications where items that have been recently accessed are more likely to be re-accessed. Requirements: The program should read a sequence of characters. The program should insert unseen character at the front of the list. The program should check if the character is not in the list to be inserted at the front of the list. The program should delete a duplicate character and delete it from the list and insert it at the beginning of the list. The program should check if the character is already in the list and…Write a Python script that implements the CHF (the Casual Hash Function.) The input data should be split into blocks of 32 bits. If the last block is smaller than 32 bits, the remaining bits should be filled with 1 followed by as many zeros as required. A and B are 2 buffers with specific values (see below). Each block in the message should be combined as shown in the image below. All resulting blocks (i.e. FBI) should be combined with "&" to produce the digest. The size of the digest is 64 bits. Calculate the digest for the string: "Alright, but apart from the sanitation, the medicine, education, wine, public order, irrigation, roads, the fresh-water system, and public health, what have the Romans ever done for us?" steps on how are in the attached picturesWrite a Python script that implements the CHF (the Casual Hash Function.) The input data should be split into blocks of 32 bits. If the last block is smaller than 32 bits, the remaining bits should be filled with 1 followed by as many zeros as required. A and B are 2 buffers with specific values (see below). Each block in the message should be combined as shown in the image below. All resulting blocks (i.e. FBI) should be combined with "&" to produce the digest. The size of the digest is 64 bits. Calculate the digest for the string: "Alright, but apart from the sanitation, the medicine, education, wine, public order, irrigation, roads, the fresh-water system, and public health, what have the Romans ever done for us?"
- Suppose we are building a B-Tree. Pages are 4008 bytes. A key value takes 8 bytes, and a pointer to a tree node or a record takes 8 bytes. a) What is the maximum number of keys in each node? b) Calculate the maximum number of pages N, which can be indexed with anindex file with height, h=2 and m keys (m is calculated in part a)? c) How many I/O operations are required for searching through N pages using a sorted file (N is calculated in part b)?.Correct answer will be upvoted else downvoted. Computer science. You have an arrangement a with n components 1,2,3,… ,k−1,k,k−1,k−2,… ,k−(n−k) (k≤n<2k). How about we call as reversal in a couple of files i<j to such an extent that a[i]>a[j]. Assume, you have some change p of size k and you assemble an arrangement b of size n in the accompanying way: b[i]=p[a[i]]. You will probably find such change p that the absolute number of reversals in b doesn't surpass the all out number of reversals in a, and b is lexicographically greatest. Little update: the grouping of k integers is known as a stage in the event that it contains all integers from 1 to k precisely once. Another little update: a grouping s is lexicographically more modest than another succession t, if either s is a prefix of t, or for the primary I to such an extent that si≠ti, si<ti holds (in the principal position that these arrangements are unique, s has more modest number than t). Input…Assume we wish to resize an existing hash table because the current hash table is becoming too small for the application. Without writing code briefly describe the process of resizing a hash table by "copying" the old data to the new hash table. What is the expected complexity of your process using Big-O notation. Justify your complexity measure. An example of a hash table before resizing is given.
- Computer Science For the following values, explain whether we can efficiently get the value from a default (standard) inverted index postings file. By efficiently we mean with one lookup--not scanning the entire index. Symbol Value |d| total number of terms in a given doc |d|u number of unique terms in a given doc df(w) number of documents term w appears in c(w, C) number of times term w occurs in corpus C c(w, d) number of times term w occurs in document d p(w, d) probability of term w occurring in document d a. p(w,d) b. |d|u c. |d| d. df(w) e. c(w,C) f. c(w,d)Suppose that a disk drive has 6,000 cylinders, numbered 0 to 5999. The drive is currently serving a request at cylinder 2225, and the previous request was at cylinder 5195 (Hint: this indicates the reading head’s moving direction). The queue of pending requests, in FIFO order, is: 5962,2876,5452,1369,3594,5046,866,3269,409,1744 Starting from the current head position, what is the total distance (in cylinders) that the disk arm moves to satisfy all the pending requests for each of the following disk-scheduling algorithms? a. FCFS SSTF SCAN LOOK C-SCAN C-LOOKSuppose we have a table: Doctor (DOCNO INT, DocName INT, Specialization VARCHAR(10), Salary Float) and it has an extendible hashing index. The hash function h (k) uses two rightmost bits of binary value of the number k and global depth of the directory structure is 2. The bucket size is four records ie it can store upto 4 records. Insert the elements 13, 22, 4, 2, 19, 6, 14, 16, 26, 28, 8, 7, 23,24 using extendible hashing technique.
- code in python attached please Define a hash table with an associated hash function ℎ(?)h(k) mapping keys ?k to their associated hash value. b) In simple uniform hashing, each key is assumed to have equal probability to map to any of the hashes in a given table of size m. Given an open-address table of size 500500 and 22 random keys, what is the probability that they hash to the same value? What is the probability that they hash to different values?Consider an extensible hash table that uses 4-bit hash keys and stores two recordsper bucket. Simulate the insertion, into an initially empty hash table, of records with(hash values of) keys 1111, 1110, 1101,..., 0001, 0000, in that order. Simulate all 16insertions, indicating what happens after each insertion. Start with i=0 bit.Assume you have a text file containing 10,000 words and you want to count the frequency of each word in the file. What is the time complexity of this operation using a hash table?
