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question:Develop a Python function to calculate the aggregate of bitwise exclusive OR operations performed on every possible pair of integers within the provided array. Additionally, the function should handle edge cases such as non-integer values, single element arrays, and empty arrays.

answer:def aggregate_xor(arr): Calculate the aggregate of bitwise exclusive OR operations performed on every possible pair of integers within the provided array. Handles edge cases such as non-integer values, single element arrays, and empty arrays. Parameters: arr (list): A list of integers. Returns: int: The aggregate XOR sum or 0 for edge cases like empty or single non-integer element arrays. if not arr: # Check if the array is empty return 0 valid_integers = [x for x in arr if isinstance(x, int)] if len(valid_integers) < 2: # Check if there are less than 2 valid integers return 0 total_xor = 0 n = len(valid_integers) for i in range(n): for j in range(i + 1, n): total_xor += valid_integers[i] ^ valid_integers[j] return total_xor

question:Given a Python list called `numbers` with integer elements, write a Python function named `is_sorted` that returns `True` if the `numbers` list is sorted either in ascending order or in descending order, and returns `False` otherwise.

answer:def is_sorted(numbers): Checks if the list "numbers" is sorted either in ascending or descending order. Returns True if sorted, False otherwise. if not numbers: # Handle empty list return True return numbers == sorted(numbers) or numbers == sorted(numbers, reverse=True)

question:Write a Python script that accepts a positive integer as input and displays the numbers in its Fibonacci sequence up to the entered value.

answer:def fibonacci_up_to(n): Generate the Fibonacci sequence up to a given number n. Args: - n (int): The upper limit for the Fibonacci sequence. Returns: - list: A list containing the Fibonacci sequence up to n. if n < 0: return [] sequence = [] a, b = 0, 1 while a <= n: sequence.append(a) a, b = b, a + b return sequence

question:Given a 2D grid of 0s and 1s, write a Python code that will return the number of "live" neighboring cells (ones) for a cell at (i, j) position in the grid. You should consider a cell's neighbors as the eight cells that are closest to it (horizontally, vertically, and diagonally).

answer:def count_live_neighbors(grid, i, j): Returns the number of "live" neighboring cells (ones) for a cell at (i, j) position in the grid. :param grid: List of lists of integers (0s and 1s) :param i: Row index of the cell :param j: Column index of the cell :return: Number of live neighbors neighbors = [ (-1, -1), (-1, 0), (-1, 1), ( 0, -1), ( 0, 1), ( 1, -1), ( 1, 0), ( 1, 1) ] live_neighbors = 0 rows = len(grid) cols = len(grid[0]) for dx, dy in neighbors: ni, nj = i + dx, j + dy if 0 <= ni < rows and 0 <= nj < cols and grid[ni][nj] == 1: live_neighbors += 1 return live_neighbors

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