Complete the following Python function: ```python from typi...
Prompt
Complete the following Python function: ```python from typing import List def mean_absolute_deviation(numbers: List[float]) -> float: """ For a given list of input numbers, calculate Mean Absolute Deviation around the mean of this dataset. Mean Absolute Deviation is the average absolute difference between each element and a centerpoint (mean in this case): MAD = average | x - x_mean | >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0]) 1.0 """ ```
Answer guidance
Canonical solution (function body): mean = sum(numbers) / len(numbers) return sum(abs(x - mean) for x in numbers) / len(numbers)
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