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- 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…I need to make a makefile for this assignment. Please guide a way to successful execute this makefile as this example:sort158: main. merge.o mergesort.o wrt.o gcc -o sort158.o main.o merge.o mergesort.o wrt.o -lm main.o: main.c mergesort.hGcc -c main.c Merge.o: merge.c mergesort.h gcc -c merge.c mergesort.o: mergesort.c mergesort.h gcc -c mergesort.c wrt.o: wrt.c gcc -c wrt.c clean: rm *.o sort158 When I try to execute the make command it displays *** No rule to make taget 'main.c', needed by 'main.o'. Stop. These files are in my directory: makefile merge.c mergesort.h sort158a.c wrt.cThis sorting function and the merge one is very similar can someone help please? its in C++
- Given R ( A int, B int, C int ). Consider this select statement: Select R1.A, R1.B, R1.C from R R1 join R R2 on R1.A = R2.B where R1.A mod 2 = 0 and R2.B = R2.C Show the EXPLAIN PLAN for the table and statement Identify one or more indexes that might improve performance. Show the EXPLAIN PLAN and describe if you have made improvements in the execution.Create a merge solution based on the following concept that lowers the additional space needed to max(M, N/M): Divide the array into N/M chunks of size M (for the sake of ease, suppose N is a multiple of M). Then, (i) sort the blocks as items with their first key as the sort key, and (ii) cycle through the array combining the first block with the second, then the second block with the third, and so on.Question 22Explain the procedure you will take to automatically choose a good value for the regularization parameter using different splits on a given dataset.
- If you had the option of having a million-element list, which implementation of the size and isEmpty functions would you use? (Consider the issue with the University of Michigan's alumni database.) If you had the option of making a million little lists, how would you choose? Think about the challenge of tracking dependents for a million income tax filings.)Can someone look at schema code and and tell me where I may have went wrong? Someone ACTUALLY look at my code and fix it so i can run it succesfully. Look at bold code and tell me if its right or not. CREATE SCHEMA library AUTHORIZATION ADEEL; create user gerstld; CREATE TABLE library.BRANCH ( ID int CONSTRAINT BRANCH_ID NOT NULL , Name varChar(90) CONSTRAINT BRANCH_Name NOT NULL , Address varChar(200) CONSTRAINT BRANCH_Address NOT NULL , CONSTRAINT BRANCH_pk PRIMARY KEY (ID) ); CREATE TABLE library.BOOKS ( Card_Catalog varChar(7) CONSTRAINT BOOKS_Card_Catalog NOT NULL , Author varChar(90) CONSTRAINT BOOKS_Author NOT NULL , Title varChar(20) CONSTRAINT BOOKS_Title NOT NULL , Edition int CONSTRAINT BOOK_Edition NOT NULL , ISBN int CONSTRAINT BOOK_ISBN NOT NULL , Copy_Number int CONSTRAINT BOOK_Copy_Number NOT NULL , Replacement_Costs_Cents money CONSTRAINT BOOK_Replacement_Costs_Cents NOT NULL , Publication_Year date CONSTRAINT…Question 4 Give your own example of a merge sort. Please provide pseudocode, a flow chart, and walk threw of the process. Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line
- convert UNF for 1NF to 2NF to 3NF, progressively. UNF:Order(OrderID, OrderDate, CustID, CustName, CustPhone, CCNum, CCExpDate, CCBank, BnkContName, BnkContPhone, CustEmail, OrderIP, SiteRefFrom, ShipStreet, ShipCity, ShipSt, ShipZip, OrderLineNum, ItemID, ItemName, ItemDesc, ItemQtyOrdered,ItemListPrice, ItemSalePrice, ItemQtyShip, ShipCharge, Tax, TotalDue)The following code doesn't correctly return the index values of the minimum contiguous subsequence. Please modify it so that it does, with comments if possible. def minSumRec(a, left, right): if left == right: return [a[left], left, right] center = int((left + right) / 2) min_left_sum = minSumRec(a, left, center) min_right_sum = minSumRec(a, center + 1, right) min_left_border_sum, left_border_sum = 1e9, 0 for i in range(center, left - 1, -1): left_border_sum += a[i] if left_border_sum < min_left_border_sum: min_left_border_sum = left_border_sum min_right_border_sum, right_border_sum = 1e9, 0 for i in range(center + 1, right + 1): right_border_sum += a[i] if right_border_sum < min_right_border_sum: min_right_border_sum = right_border_sum min_border_sum = min_right_border_sum + min_left_border_sum minSum = min(min_left_sum[0], min_right_sum[0], min_border_sum) if minSum == min_left_sum: return min_left_sum if minSum == min_right_sum: return min_right_sum return…You will use the wine for this task (dataset: sklearn.datasets.load_wine()), perform NN and NearestCentroid on the dataset to perform classification. Select different parameter values (i.e., parameter tuning) and discuss the influence. Finally, report result of comparisons. The dataset can be found here https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html