workflows/arlexecute/imaging/imaging_arlexecute.py
def residual_list_arlexecute_workflow(vis, model_imagelist, context='2d', gcfcf=None, **kwargs):
    """ Create a graph to calculate residual image
    :param vis:
    :param model_imagelist: Model used to determine image parameters
    :param context:
    :param gcfcg: tuple containing grid correction and convolution function
    :param kwargs: Parameters for functions in components
    :return:
    """
    model_vis = zero_list_arlexecute_workflow(vis)
    model_vis = predict_list_arlexecute_workflow(model_vis, model_imagelist, context=context,
                                                 gcfcf=gcfcf, **kwargs)
    residual_vis = subtract_list_arlexecute_workflow(vis, model_vis)
    result = invert_list_arlexecute_workflow(residual_vis, model_imagelist, dopsf=False, normalize=True,
                                             context=context,
                                             gcfcf=gcfcf, **kwargs)
    return arlexecute.optimize(result)
 Create a graph to calculate residual image
    :param vis:
    :param model_imagelist: Model used to determine image parameters
    :param context:
    :param gcfcg: tuple containing grid correction and convolution function
    :param kwargs: Parameters for functions in components
    :return:
    
Create a graph to calculate residual image
Create a graph to calculate residual image
def residual_list_arlexecute_workflow(vis, model_imagelist, context='2d', gcfcf=None, **kwargs):
    model_vis = zero_list_arlexecute_workflow(vis)
    model_vis = predict_list_arlexecute_workflow(model_vis, model_imagelist, context=context,
                                                 gcfcf=gcfcf, **kwargs)
    residual_vis = subtract_list_arlexecute_workflow(vis, model_vis)
    result = invert_list_arlexecute_workflow(residual_vis, model_imagelist, dopsf=False, normalize=True,
                                             context=context,
                                             gcfcf=gcfcf, **kwargs)
    return arlexecute.optimize(result)
def residual_list_arlexecute_workflow ( vis , model_imagelist , context = '2d' , gcfcf = None , ** kwargs ) : model_vis = zero_list_arlexecute_workflow ( vis ) model_vis = predict_list_arlexecute_workflow ( model_vis , model_imagelist , context = context , gcfcf = gcfcf , ** kwargs ) residual_vis = subtract_list_arlexecute_workflow ( vis , model_vis ) result = invert_list_arlexecute_workflow ( residual_vis , model_imagelist , dopsf = False , normalize = True , context = context , gcfcf = gcfcf , ** kwargs ) return arlexecute . optimize ( result )
Create a graph to calculate residual image
Create a graph to calculate residual image
""" Create a graph to calculate residual image
    :param vis:
    :param model_imagelist: Model used to determine image parameters
    :param context:
    :param gcfcg: tuple containing grid correction and convolution function
    :param kwargs: Parameters for functions in components
    :return:
    """
None
vis
None
model_imagelist
Model used to determine image parameters
Model used to determine image parameters
context
None
gcfcf
gcfcg
tuple containing grid correction and convolution function
tuple containing grid correction and convolution function
kwargs
Parameters for functions in components
Parameters for functions in components