NumPy includes a submodule numpy.linalg where many functions are defined to allow the user to do various things related to linear algebra. If A is a square matrix represented as an object of type ndarray, the function eigvals () will return the eigenvalues of A as an array. Which of the following code snippets would correctly import the module and call this function with the matrix A as input? Note: There may be more than one correct answer! Select all that will work.

Please use C++ and make sure it's for a sorted array  Write a function, removeAll, that takes three parameters: an array of integers,the number of elements in the array, and an integer (say, removeItem). Thefunction should find and delete all of the occurrences of removeItem in thearray. If the value does not exist or the array is empty, output an appropriatemessage. (Note that after deleting the element, the number of elements in thearray is reduced.) Assume that the array is sorted.

Write a C++ application to linearly explore an array. Make array private.

Please add an execution chart for this code like the example below. I have provided the code and the example execution chart. : Sample Execution Chart Template//your header files// constant size of the array// declare an array of BankAccount objects called accountsArray of size =SIZE// comments for other declarations with variable names etc and their functionality// function prototypes// method to fill array from file, details of input and output values and purpose of functionvoid fillArray (ifstream &input,BankAccount accountsArray[]);// method to find the largest account using balance as keyint largest(BankAccount accountsArray[]);// method to find the smallest account using balance as keyint smallest(BankAccount accountsArray[]);// method to display all elements of the accounts arrayvoid printArray(BankAccount accountsArray[]);int main() {// function calls come here:// give the function call and a comment about the purpose,// and input and return value if any//open file//fill…