Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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- 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()arrow_forwardWrite the function lastOf which searches the array a for the last occurance of any value contained in the array b. Returns the index if found. If not found, return -1. arrays.cpp 1 #include 2 3 int lastof(const int a[), int alen, const int b[], int blen) 4 { int res = 0; for (int i = 0; i =0 ; j--) if (b[j] == a[i]) { if(res[1, 9, 4, 5, 1, 5, 1, 12, 8, 11, 2, 11, 7, 8] b1->[7, 5, 9] last0f(al, 14, b1, 3): -1 Expected: 12 al->[1, 9, 4, 5, 1, 5, 1, 12, 8, 11, 2, 11, 7, 8] b2->[7, 7] lastof (al, 14, b2, 2): -1 Expected: 12 a2->[3, 2, 1, 14, 10, 6, 13, 1ө, 11, 13, 14] b2->[7, 7] lastof (a2, 11, b2, 2): -1 Expected: -1 а2->[3, 2, 1, 14, 10, 6, 13, 1ө, 11, 13, 14] b1->[7, 5, 9] last0f (a2, 11, b1, 3): -1 Expected: -1 а2->[3, 2, 1, 14, 10, 6, 13, 10, 11, 13, 14] b3->[11, 2, 1, 15] lastof (a2, 11, b3, 4): -1 Expected: 8 Score 2/5arrow_forwardA three-dimensional array called watermelon is declared as based on the row-wise manner as below: int watermelon [3][2][2]= {9, 7, 1, 5, 9, 7, 1, 5, 9, 7 ,1, 5}; Rewrite the sequence of watermelon array if it is accessed in column wise manner. Select one: A.9 9 9 7 7 7 1 1 1 5 5 5 B.9 7 1 5 9 9 7 7 1 1 5 5 C.5 1 7 9 5 1 7 9 5 1 7 9 D.9 7 1 5 9 7 1 5 9 7 1 5arrow_forward
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