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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 CreateMultiRandCropAugmenter(min_object_covered=0.1, aspect_ratio_range=(0.75, 1.33), area_range=(0.05, 1.0), min_eject_coverage=0.3, max_attempts=50, skip_prob=0):
 """Helper function to create multiple random crop augmenters. Parameters min_object_covered : float or list of float, default=0.1 The cropped area of the image must contain at least this fraction of any bounding box supplied. The value of this parameter should be non-negative. In the case of 0, the cropped area does not need to overlap any of the bounding boxes supplied. min_eject_coverage : float or list of float, default=0.3 The minimum coverage of cropped sample w.r.t its original size. With this constraint, objects that have marginal area after crop will be discarded. aspect_ratio_range : tuple of floats or list of tuple of floats, default=(0.75, 1.33) The cropped area of the image must have an aspect ratio = width / height within this range. area_range : tuple of floats or list of tuple of floats, default=(0.05, 1.0) The cropped area of the image must contain a fraction of the supplied image within in this range. max_attempts : int or list of int, default=50 Number of attempts at generating a cropped/padded region of the image of the specified constraints. After max_attempts failures, return the original image. Examples -------- aspect_ratio_range=aspect_ratio_range, area_range=area_range, min_eject_coverage=min_eject_coverage, max_attempts=max_attempts, skip_prob=0) """

    def align_parameters(params):
        """Align parameters as pairs"""
        out_params = []
        num = 1
        for p in params:
            if not isinstance(p, list):
                p = [p]
            out_params.append(p)
            num = max(num, len(p))
        # align for each param
        for k, p in enumerate(out_params):
            if len(p) != num:
                assert len(p) == 1
                out_params[k] = p * num
        return out_params

    aligned_params = align_parameters([min_object_covered, aspect_ratio_range, area_range,
                                       min_eject_coverage, max_attempts])
    augs = []
    for moc, arr, ar, mec, ma in zip(*aligned_params):
        augs.append(DetRandomCropAug(min_object_covered=moc, aspect_ratio_range=arr,
                                     area_range=ar, min_eject_coverage=mec, max_attempts=ma))
    return DetRandomSelectAug(augs, skip_prob=skip_prob)