Function Description Generate the code for a function: findBig(a: Ndarray) -- > list The function searches the contents of a 2-dimensional array for elements with values greater than the sum of the values immediately before and after in the same row. (The elements must have values both before and after in the same row to qualify.) The row and column indices of these elements are returned in a list. The code should work for any size 2-dimensional array having a minimum of 3 columns. See sample test results below: Function Call: Returns: import numpy as np arr = np.array([ [19, 7, 7, 3, 2, 16], [10, 5, 6, 5, 2, 6], [[2, 1], [2, 4], [3, 2]] [3, 13, 1, 1, 7, 1], [2, 2, 9, 2, 2, 19] ]) print (findBig (arr)) Explanation: • 13 > (3 + 1), 7 > (1 + 1), 9 > (2 + 2)

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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Python. NumPy. Please solve. 

Function Description
Generate the code for a function: findBig(a: Ndarray)--
> list
The function searches the contents of a 2-dimensional
array for elements with values greater than the sum of
the values immediately before and after in the same
row.
(The elements must have values both before and
after in the same
row to qualify.)
The row and column indices of these elements are
returned in a list. The code should work for any size
2-dimensional array having a minimum of 3 columns.
See sample test results below:
Function Call:
Returns:
import numpy as np
arr = np.array([ [19, 7, 7,
3, 2, 16],
[10, 5, 6, 5, 2, 6],
[[2, 1],
[2, 4], [3, 2]]
[3, 13, 1, 1, 7, 1],
[2, 2, 9, 2, 2, 19] ])
print (findBig(arr))
Explanation:
• 13 >
(3 + 1), 7 > (1 + 1), 9 > (2 + 2)
Transcribed Image Text:Function Description Generate the code for a function: findBig(a: Ndarray)-- > list The function searches the contents of a 2-dimensional array for elements with values greater than the sum of the values immediately before and after in the same row. (The elements must have values both before and after in the same row to qualify.) The row and column indices of these elements are returned in a list. The code should work for any size 2-dimensional array having a minimum of 3 columns. See sample test results below: Function Call: Returns: import numpy as np arr = np.array([ [19, 7, 7, 3, 2, 16], [10, 5, 6, 5, 2, 6], [[2, 1], [2, 4], [3, 2]] [3, 13, 1, 1, 7, 1], [2, 2, 9, 2, 2, 19] ]) print (findBig(arr)) Explanation: • 13 > (3 + 1), 7 > (1 + 1), 9 > (2 + 2)
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