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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 uniform_random_global_points(n=100):
 """ Returns an array of `n` uniformally distributed `shapely.geometry.Point` objects. Points are coordinates distributed equivalently across the Earth's surface. """

    xs = np.random.uniform(-180, 180, n)
    ys = np.random.uniform(-90, 90, n)
    return [shapely.geometry.Point(x, y) for x, y in zip(xs, ys)]