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Draw the Finite automata for the following expression
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- Q 01: (Each containing 2*3=6) What is the Critical section problem? Write and explain Peterson solution for it.[b~ v (bad)]~ 2TQuery Board Python or Java(Preferred Python please) Thank you! Programming challenge description: There is a board (matrix). Every cell of the board contains one integer, which is 0 initially.The following operations can be applied to the Query Board:SetRow i x: change all values in the cells on row "i" to value "x".SetCol j x: change all values in the cells on column "j" to value "x".QueryRow i: output the sum of values on row "i".QueryCol j: output the sum of values on column "j".The board's dimensions are 256x256."i" and "j" are integers from 0 to 255."x" is an integer from 0 to 31. Input: Your program should read lines from standard input. Each line contains one of the above operations. Output: For each query, output the result of the query. Test 1 Test InputDownload Test 1 Input SetCol 32 20 SetRow 15 7 SetRow 16 31 QueryCol 32 SetCol 2 14 QueryRow 10 Expected OutputDownload Test 1 Input 5118 34
- 1 2 You have matrix A = 5 6 9 10 34 78, what will be result by code>>A (1:2, 3:4); 11 12Python numpy library functions to perform basic matrix operations are as follows.• C=numpy.add(A, B): Add two matrices A and B and store result in C.• C=numpy.subtract(A, B): Subtract matrix B from matrix A and store result in C.• C=numpy.divide(A, B): Divide matrix A by matrix B and store result in C.• C=numpy.multiply(A, B): Multiply matrix A by matrix B and store result in C.• C=numpy.sum(A): Form the sum of elements of matrix A and store result in c ∈ R.• C=numpy.sum(A, axis = 0): Form the column wise summation of matrix A andstore result in vector C.• C=numpy.sum(A, axis = 1): Form the row wise summation of matrix A, storeresult in vector C.Python code to show the implementation of these methods in a sample matrix.Mat lab code: Create A(3,3) matrix of zeroes , and A(3,3) matrix of ones? display the results for each one ?
- Python question Application: Big-O Notation (Q8-11) For each of the time complexities in this segment give the tightest bound in terms of a simple polylogarithmic function using big-O notation. Note: use the ‘^’ symbol to indicate exponents, i.e., write O(n^2) for O(n2). Question 8 (Big-O Notation 1) T(n) = n2+ log n + n Question 9 (Big-O Notation 2) T(n) = n/3 + 4 log n + 2n log(n) Question 10 (Big-O Notation 3) T(n) = 7n5 + 2n Question 11 (Big-O Notation 4) T(n) = (n%5) + 12,000DIVISIBLE BY 3 PROBLEM: Create the following 10 x 10 ndarray. 1 4 81 ⠀ ⠀ A = ... ⠀ ⠀ 9801 100 ⠀ ⠀ ⠀ 10000- ⠀ L8281 8464 which are the squares of the first 100 positive integers. From this ndarray, determine all the elements that are divisible by 3. Save the result as div_by_3.npyWhat does this code print? [x for x in range (5)] [x for x in range(7) if x in data and x%2==0] data print(temp)