The following array x is provided as an argument to a custom-defined implementation of the softmax function in Python, which produces an array of the same size as the input. import numpy as np X = np.array([1, 0, -1, 2, 0.5]) y = softmax(x) What is the index (in Numpy sense) of the component of y which contains a value closest to 1?
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- Write a function getMinMax() that, given an array of integers and two indexes, returns the minimum and the maximum values in the array bound by those indexes (built-in functions to manipulate any array may NOT be used at all). For example, if the array contains the values [5, 12, -3, 1, 0, -11, 29, 8] and the indexes were 2 and 5 then the function returns, somehow, -11 and 1 (since -11 is the minimum and 1 is the maximum in the part of the array that starts at index 2 and ends at index 5). You are then to write a program that does the following: 1. Fills an array with 10 random integers between 1 and 100 (using the function filLArray() implemented in Problem 4). 2. Using the function getMinMax(), your program should sort the list in (1) as follows: a. It should use two indexes (say, i and )) and point i to the first element and j to the last one in the list created in (1). b. It should then call the function getMinMax(0 to find the minimum and maximum values in the range bound by i and…Write a function that takes two int arrays arr1 and arr2, and their size n as parameters. The functionreturns the number of elements that exist in arr1 and arr2 with indexes i1 and i2 respectively such that i1>=i2.(Example: arr1: [ 1,5,2,3,4,0,7] arr2: [0,1,3,7,4,2] then the function returns 3 ( 0,3,7) )Write a function secondLargest(array) in JavaScript that returns the second largest value in the array (or undefined if the array doesn't have at least two elements. You must use Array#reduce do the vast majority of the work. (You may do a little pre- and post- processing outside the call to reduce.) The lambda passed to Array#reduce function has parameters in this order: partial, item. For example, secondLargest([1, 3, 2]) should return 2 secondLargest([4]) should return undefined IMPORTANT: Make sure the last line of your submission is module.export = secondLargest;
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- Write a program in C Language which fulfills the followingcriteriaa. Declare 3D array named “array3d” with the dimension of 2 x 3 x 4b. Assign random numbers to array3d by using the function rand(). The range ofrandom number must be between 0 to 99.c. Copy all the contents of “array3d” to new matrix called array3d_new by usingthe addresses of memory location. Keep in mind that you have only the initial orstarting address of mattrix array3d. You need to show and print that address.Perfom the task by calling functions.d. In “array3d” there are 4 copies of 2 x 3 matrix, add the respective elements ofthe first two matrix in a new matrix called sum2d_a (the dimension of this newlycreated matrix is 2 x 3). Perform the same task for the remaining two matrixes andstore the result in sum2d_b. Now create the new matrix namely sum2d containgboth copies of sum2d_a and sum2d_b with the matrix size of 2 x 3 x 2. Youneed to perform all these tasks using FUNCTIONS.e. Write a function to find the…Write a function `pickyMyMap` that accepts an array and a callback as arguments. The function should call the callback for each element of the array, passing in the element and return a new array of the results of each call to the callback function. If the result of the callback function returns something falsey, then do not add it in the result array. You may not mutate the original array. const nums = [1, 2, 3, 4]; pickyMyMap(nums, (num) => num - 2); // [-1, 1, 2] const booleans = [true, false, true, false, true]; pickyMyMap(booleans, (boolean) => !boolean); // [true, true] You may not use Array's `map()`, `filter()`, or `forEach()` methods.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.