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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 evaluate_bounding_box(ctrlpts):
 """ Computes the minimum bounding box of the point set. The (minimum) bounding box is the smallest enclosure in which all the input points lie. :param ctrlpts: points :type ctrlpts: list, tuple :return: bounding box in the format [min, max] :rtype: tuple """

    # Estimate dimension from the first element of the control points
    dimension = len(ctrlpts[0])

    # Evaluate bounding box
    bbmin = [float('inf') for _ in range(0, dimension)]
    bbmax = [float('-inf') for _ in range(0, dimension)]
    for cpt in ctrlpts:
        for i, arr in enumerate(zip(cpt, bbmin)):
            if arr[0] < arr[1]:
                bbmin[i] = arr[0]
        for i, arr in enumerate(zip(cpt, bbmax)):
            if arr[0] > arr[1]:
                bbmax[i] = arr[0]

    return tuple(bbmin), tuple(bbmax)