stable diffusion video passclass Diffusivity(MRIData)

stable diffusion video.    “””    passclass Diffusivity(MRIData):    def __init__(self, diffusion_data: Union[dict, None], refinedset=None) -> None:        super().__init__()        self._diffusion = diffusion_data or []        if len(diffusion_data[“parameters”]):            diffusion_parameters = tuple([                _get_param(‘diffuse’, val=_p[‘diffuse’]) for _, _p in enumerate(diffusion_data[“parameters”])])            self.__setattr__(‘Parameters’, diffusion_parameters)        # check if refined set exists with given parameters        elif isinstance(refinedset, np.ndarray):  ## if a numpy array is passed it means we are doing a refinement (e.g. at least some of the original was nan values)            params = {k: v                    for k, v in zip([‘scale_factor’,’shift’], [1., *np.ones((2,))])}            params[‘_mask’] = False            self.__setattr__(‘Parameters’, list(_merge(params)))            refineddfn, self._index, maskidx = _transform_to_dataframe(*refinedset[~np.isnan(