def ConvCnstrMODMaskDcplOptions(opt=None, method='cns'):
    """A wrapper function that dynamically defines a class derived from
    the Options class associated with one of the implementations of
    the Convolutional Constrained MOD with Mask Decoupling  problem,
    and returns an object instantiated with the provided parameters.
    The wrapper is designed to allow the appropriate object to be
    created by calling this function using the same syntax as would be
    used if it were a class. The specific implementation is selected
    by use of an additional keyword argument 'method'. Valid values are
    as specified in the documentation for :func:`ConvCnstrMODMaskDcpl`.
    """

    # Assign base class depending on method selection argument
    if method == 'ism':
        base = ConvCnstrMODMaskDcpl_IterSM.Options
    elif method == 'cg':
        base = ConvCnstrMODMaskDcpl_CG.Options
    elif method == 'cns':
        base = ConvCnstrMODMaskDcpl_Consensus.Options
    else:
        raise ValueError('Unknown ConvCnstrMODMaskDcpl solver method %s'
                         % method)

    # Nested class with dynamically determined inheritance
    class ConvCnstrMODMaskDcplOptions(base):
        def __init__(self, opt):
            super(ConvCnstrMODMaskDcplOptions, self).__init__(opt)

    # Allow pickling of objects of type ConvCnstrMODMaskDcplOptions
    _fix_dynamic_class_lookup(ConvCnstrMODMaskDcplOptions, method)

    # Return object of the nested class type
    return ConvCnstrMODMaskDcplOptions(opt)