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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def normal_h1(size: int = 10000, mean: float = 0, sigma: float = 1) -> Histogram1D: """A simple 1D histogram with normal distribution. Parameters size : Number of points mean : Mean of the distribution sigma : Sigma of the distribution """

    data = np.random.normal(mean, sigma, (size,))
    return h1(data, name="normal", axis_name="x", title="1D normal distribution")