PROGRAM : Efficient Solution to Find Leaders in an array

Programming language: Processing from Java Question attached as photo Topic: Use of Patial- Full 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()

Can you help me please: have the program know when numbers out of the array boundaries are received and mitigate those problems. The given code intentionally induces numbers out of bounds and the student’s portion must correct for this. As always use a header file and implementation file to do those calculations. Remember not to change the given code below in any way Design and implement the class myArray that solves the array index out of bounds problem and also allows the user to begin the array index starting at any integer, positive or negative. Every object of type myArray is an array of type int. During execution, when accessing an array component, if the index is out of bounds, the program must terminate with an appropriate error message. Consider the following statements:myArray list(5);                                  //Line 1 myArraymyList(2, 13);                     //Line 2myArray yourList(-5, 9);                    //Line 3The statement in Line 1 declares list to be an…