Create a function using Java: Number of Rows = 3-6 Number of Columns = 3-6   Function Name: winInDiagonalFS Parameters: board: 2D integer array, piece: integer Return: boolean Assume board is valid 2D int array, piece is X==1/O==2. Look at all forward slash / diagonals in the board. If any forward slash / diagonals has at least 3 consecutive entries with given type of piece (X/O) (3 in a row XXX, OOO), then return true, otherwise false

//Required Functionvoid func(int array_1[],int array_2[],int size){   for(int i=0;i<size;i++){      if(array_2[i]>array_1[i]){         array_1[i]=array_2[i];      }   }   return;} //main function to test the function.int main(){    int size=6;    int a[]={1,5,9,8,7,6};    int b[]={1,4,10,12,7,15};    printf("First array before function call: ");    for(int i=0;i<size;i++){       printf("%d ",a[i]);    }    func(a,b,size);  //call to the created function    printf("\nFirst array after function call: ");    for(int i=0;i<size;i++){       printf("%d ",a[i]);    }        return 0;} 1. Write the statements to do the following: write a prototype for your function in the previous problem write a main function which includes the following steps declare two arrays of ints with 25 elements each prompt the user and read values into both arrays call your function from the previous problem print both arrays

Prompt: In Python language, write a function that applies the logistic sigmoid function to all elements of a NumPy array. Code:   import numpy as np import math import matplotlib.pyplot as plt import pandas as pd   def sigmoid(inputArray):               modifiedArray = np.zeros(len(inputArray))               #YOUR CODE HERE:               return(modifiedArray) def test(): inputs = np.arange(-100, 100, 0.5) outputs = sigmoid(inputs) plt.figure(1) plt.plot(inputs) plt.title('Input') plt.xlabel('Index') plt.ylabel('Value') plt.show() plt.figure(2) plt.plot(outputs,'Black') plt.title('Output') plt.xlabel('Index') plt.ylabel('Value') plt.show() test()

Define a function named “getExamListInfo” that accepts an array of Exam objects and its size. It will return the following information to the caller: - The number of exams with perfect score - The number of exams with “Pass” status - The index of the Exam object in the array that has the largest score. For example, if you get the exam info for this array of Exam object Exam examList[] = { {"Midterm1 Exam", 90}, {"Midterm2 Exam", 80}, {"Final Exam", 50}, {"Extra Credit", 100}, {"Initial Test", 0}, {"Homework1", 69} } ; You will get Perfect Count: 1 Pass Count: 3 Index of the largest: 3  C++

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Create a function using Java: Number of Rows = 3-6 Number of Columns = 3-6   Function Name: winInDiagonalBSParameters: board: 2D integer array, piece: integerReturn: booleanAssume board is valid 2D int array, piece is X==1/O==2.Look at all backward slash \ diagonal in the board. If any backward slash \ diagonal has atleast 3 consecutive entries with a given type of piece (X/O) (3 in a row XXX, OOO), then return true,otherwise false.

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.

Write a maxConsecutiveDiff function which returns the maximum difference between any two consecutive values in the array.Consecutive values are next to each other in an array (+/- 1 index)This function should accept all required data as parameters.ExamplesIf the array is 17 15 16 11 14 the maximum consecutive difference is 5 which is the difference between 16 and 11.If the array is 10 13 11 12 19 the maximum consecutive difference is 7 which is the difference between 12 and 19.