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- 2. Get the Groups As new students begin to arrive at college, each receives a unique ID number, 1 to n. Initially, the students do not know one another, and each has a different circle of friends. As the semester progresses, other groups of friends begin to form randomly. There will be three arrays, each aligned by an index. The first array will contain a queryType which will be either Friend or Total. The next two arrays, students1 and students2, will each contain a student ID. If the query type is Friend, the two students become friends. If the query type is Total, report the sum of the sizes of each group of friends for the two students.snapshot of the complete trace table. you should show a column for the array since its elements' values will change. Just abbreviate it to [4,2,3] for example.There's a "users" table that has more than 1M rows of "users" information. The image below are the first 3 rows.Implement a SQL query that retrieves the "email" and "friend_count" of the "user_id" with the most friends.
- Let the document be “good bad student good bad instructor” and the query be “good student”. Fill out the empty columns in the following table and then compute the cosine similarity between the document vector and the query vector. In the table, df denotes document frequency, idf denotes inverse document frequency (i.e., idft = log10N/dft), tf denotes term frequency, log tf denotes the tf weight based on log-frequency weighting as shown in slides (i.e., 1+log10tft,d for tft,d> 0 and 0 otherwise), d is the document vector, d’ is the length-normalized d, q is the query vector, and q’ is the length-normalized q. Assume N (number of documents in the corpus) = 10,000,000.Please answer all the subquestions.Suppose you have a table t with a column labeled 'XYZ. What is the difference between t.YYZ.cumsum() and t.XYZ.rolling(n).sum), where n is some integer (for example 10 or 100). You need to select all correct answers: O For cach row of the table, LYYZ.cumsum0 sums the valucs of XYZ from the beginning of the table until the current row O For cach row of the table, t.XYZ.rolling(n) sum sums the values of XYZ from the besinning of the table until the current row O For cach row of the table, t.XYZ.rolling(n).sum) sums the most recent n values of XYZ (including the current row) O In the last row of the table, LYYZ.cumsum) contains the sum of all valucs of thc column XYZ Ein the last row of the table, t.XYZ rolling(n).sum) contains the sum of all valucs of the column XYZ.
- Hi, This is what I have, but I am stuck with what to write and not sure if my function is even correct, to begin with. Can someone show me a walk-through solution? MUST USE postgreSQL CREATE TABLE instructor_course_nums (ID VARCHAR(25), name VARCHAR(25), tot_courses VARCHAR(25)); CREATE OR REPLACE PROCEDURE calculate_instr_course(ID VARCHAR(25), name VARCHAR(25), tot_courses VARCHAR(25))LANGUAGE plpgsqlAS$$BEGIN END;$$;1. In order to create an accumulating column, we had to override the default behavior of the PDV. So, we need to set the а. initial value of that column to zero, rather than missing. How to do it? b. How to sort according to multiple columns in SAS programming? You can explain it on any example.Map a lambda function onto the 'name' column to capitalize all the president names in the DataFrame you created in Question 7. Remember to apply the .upper() method to capitalize the letters.
- a. Software Engineering Research Group (SERG) IIUM is organizing a programming competition. Students are allowed to use either Python or C++ programming language for the competition. Student who wishes to opt for Python goes into lab 1 while for C++ in lab 2. The seating arrangement is based on question ID. The number of students that registered for the competition are 10 students only. Each lab has capacity of 13 students. You are required to create a hash table to indicate where each student with the following question IDs (keys) be hashed/mapped to in the slot of the lab (hash table). IDs = {41, 28, 54, 18, 36, 10, 90, 12, 38, 25} using the hash function, h1(ID) = (ID) % lab capacity Show all your calculations and indication to where the values are being hashed.Which function is better, RANK() or DENSE RANK()?Try switching the joins pthread_join(tid2, NULL); pthread_join(tid1, NULL); Do you see any difference? Please report if and why you do or do not see any difference in terms of the randomness in the result of the shared resource. In the inc_dec_resource() function, implement mutual exclusion (pthread_mutex_lock) to ensure that the result becomes 0 every time when you execute your program. Put your updated code in the report (highlighted) and show your screenshot of the execution by running the script three time using $ time ./shared_resource_mutex. Hint: Your loop is incrementing/decrementing the resource which should be protected by each thread while it is executing that portion. /* Compile: gcc -o shared_resouce_mutex shared_resource_mutex.c -lpthread Execute: ./shared_resource_mutex */ #include <stdio.h> #include <pthread.h> #define iterations 300000000 long long shared_resource = 0; pthread_mutex_t mutex = PTHREAD_MUTEX_INITIALIZER; // Thread function to…