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# This file was automatically generated by SWIG (http://www.swig.org). 

# Version 2.0.4 

# 

# Do not make changes to this file unless you know what you are doing--modify 

# the SWIG interface file instead. 

 

 

 

from sys import version_info 

if version_info >= (2,6,0): 

    def swig_import_helper(): 

        from os.path import dirname 

        import imp 

        fp = None 

        try: 

            fp, pathname, description = imp.find_module('_imagertask', [dirname(__file__)]) 

        except ImportError: 

            import _imagertask 

            return _imagertask 

        if fp is not None: 

            try: 

                _mod = imp.load_module('_imagertask', fp, pathname, description) 

            finally: 

                fp.close() 

            return _mod 

    _imagertask = swig_import_helper() 

    del swig_import_helper 

else: 

    import _imagertask 

del version_info 

try: 

    _swig_property = property 

except NameError: 

    pass # Python < 2.2 doesn't have 'property'. 

def _swig_setattr_nondynamic(self,class_type,name,value,static=1): 

    if (name == "thisown"): return self.this.own(value) 

    if (name == "this"): 

        if type(value).__name__ == 'SwigPyObject': 

            self.__dict__[name] = value 

            return 

    method = class_type.__swig_setmethods__.get(name,None) 

    if method: return method(self,value) 

    if (not static): 

        self.__dict__[name] = value 

    else: 

        raise AttributeError("You cannot add attributes to %s" % self) 

 

def _swig_setattr(self,class_type,name,value): 

    return _swig_setattr_nondynamic(self,class_type,name,value,0) 

 

def _swig_getattr(self,class_type,name): 

    if (name == "thisown"): return self.this.own() 

    method = class_type.__swig_getmethods__.get(name,None) 

    if method: return method(self) 

    raise AttributeError(name) 

 

def _swig_repr(self): 

    try: strthis = "proxy of " + self.this.__repr__() 

    except: strthis = "" 

    return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,) 

 

try: 

    _object = object 

    _newclass = 1 

except AttributeError: 

    class _object : pass 

    _newclass = 0 

 

 

class imagertask(_object): 

    """Proxy of C++ casac::imagertask class""" 

    __swig_setmethods__ = {} 

    __setattr__ = lambda self, name, value: _swig_setattr(self, imagertask, name, value) 

    __swig_getmethods__ = {} 

    __getattr__ = lambda self, name: _swig_getattr(self, imagertask, name) 

    __repr__ = _swig_repr 

    def __init__(self): 

        """__init__(self) -> imagertask""" 

        this = _imagertask.new_imagertask() 

        try: self.this.append(this) 

        except: self.this = this 

    __swig_destroy__ = _imagertask.delete_imagertask 

    __del__ = lambda self : None; 

    def clean(self, *args, **kwargs): 

        """ 

        clean(self, vis = string("Unknown"), alg = string("clark"), niter = 1000,  

            gain = 0.1, threshold = 0.0, residual = std::vector< string >(1, ""),  

            image = std::vector< string >(1, ""),  

            model = std::vector< string >(1, ""),  

            mask = std::vector< string >(1, ""),  

            mode = string(""), nchan = initialize_vector(1, (int)1),  

            start = initialize_vector(1, (int)1),  

            width = initialize_vector(1, (int)1),  

            step = initialize_vector(1, (int)1),  

            imsize = initialize_vector(2,(int)128, (int)128),  

            cell = initialize_vector(2,(int)1, (int)1),  

            stokes = string("I"), fieldid = initialize_vector(1, (int)1),  

            spwid = initialize_vector(1, (int)1),  

            weighting = string("uniform"),  

            rmode = string("none"), robust = 0.0) 

 

        Summary 

                Perform clean operations 

 

        Description 

                Form images from visibilities. Handles continuum and spectral line cubes. 

 

        Input Parameters: 

                vis              name of input visibility file (MS) Unknown  

                alg              Algorithm to use (clark, hogbom, csclean, csfast). Default is clark. clark  

                niter            Number of iterations. Default=1000. 1000  

                gain             The minor iteration loop gain. Default is 0.1. 0.1  

                threshold        Threshold flux level at which to stop cleaning (in Jy). Default is 0.Jy. 0.0  

                residual         name of residual image. Default is model name concatenated with '.residual'. residual  

                image            name of restored image. Default is model name concatenated with '.restored'. restored  

                model            name of model image. No value.  

                mask             name of mask image. No value.  

                mode             Type of processing (channel or velocity)  

                nchan            With mode, this defines the number of channels for mapping of visibilities to image channels 1  

                start            With mode, this defines the starting channel for mapping of visibilities to image channels 1  

                width            With mode, this defines the width of channels for mapping of visibilities to image channels 1  

                step             With mode, this defines the step of channels for mapping of visibilities to image channels 1  

                imsize           The size of the output image (pixels). 128 128  

                cell             The image cell size (arcseconds). 1 1  

                stokes           Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I  

                fieldid          Field IDs to include. Default is 1. Allows a vector of available field ids. 1  

                spwid            Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1  

                weighting        Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform  

                rmode            Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none  

                robust           Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0  

                 

        Example: 

                 

        -------------------------------------------------------------------------------- 

                       

        """ 

        return _imagertask.imagertask_clean(self, *args, **kwargs) 

 

    def feather(self, *args, **kwargs): 

        """ 

        feather(self, vis = string(""), featherimage = string(""), highres = string(""),  

            lowres = string(""), lowpsf = string("")) 

 

        Summary 

                Perform feather operation 

 

        Description 

                Feather an interferometer and single dish image in the Fourier plane 

 

        Input Parameters: 

                vis              name of input visibility file (MS)  

                featherimage     name of output image  

                highres          name of high resolution (interferometer) image  

                lowres           name of low resolution (single dish) image  

                lowpsf           image of the single dish beam  

                 

        Example: 

                 

        -------------------------------------------------------------------------------- 

                       

        """ 

        return _imagertask.imagertask_feather(self, *args, **kwargs) 

 

    def invert(self, *args, **kwargs): 

        """ 

        invert(self, vis = string(""), map = string(""), beam = string(""),  

            mode = string(""), nchan = initialize_vector(1, (int)1),  

            start = initialize_vector(1, (int)1),  

            width = initialize_vector(1, (int)1),  

            step = initialize_vector(1, (int)1), imsize = initialize_vector(2,(int)128, (int)128),  

            cell = initialize_vector(2,(int)1, (int)1),  

            stokes = string("I"),  

            fieldid = initialize_vector(1, (int)1),  

            spwid = initialize_vector(1, (int)1),  

            weighting = string("uniform"), rmode = string("none"),  

            robust = 0.0) 

 

        Summary 

                Perform invert operation 

 

        Description 

                Form images from visibilities. Handles continuum and spectral line 

 

        Input Parameters: 

                vis              name of input visibility file (MS)  

                map              name of output dirty map (image)  

                beam             name of output beam file (image)  

                mode             Type of processing (channel or velocity)  

                nchan            With mode, this defines the number of channels for mapping of visibilities to image channels 1  

                start            With mode, this defines the starting channel for mapping of visibilities to image channels 1  

                width            With mode, this defines the width of channels for mapping of visibilities to image channels 1  

                step             With mode, this defines the step of channels for mapping of visibilities to image channels 1  

                imsize           The size of the output image (pixels). 128 128  

                cell             The image cell size (arcseconds). 1 1  

                stokes           Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I  

                fieldid          Field IDs to include. Default is 1. Allows a vector of available field ids. 1  

                spwid            Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1  

                weighting        Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform  

                rmode            Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none  

                robust           Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0  

                 

        Example: 

                 

        -------------------------------------------------------------------------------- 

                       

        """ 

        return _imagertask.imagertask_invert(self, *args, **kwargs) 

 

    def mosaic(self, *args, **kwargs): 

        """ 

        mosaic(self, vis = string(""), alg = string("mfclark"), niter = 1000,  

            gain = 0.1, threshold = 0.0, residual = std::vector< string >(1, ""),  

            image = std::vector< string >(1, ""),  

            model = std::vector< string >(1, ""),  

            mask = std::vector< string >(1, ""),  

            mode = string(""), gridfn = string("SF"),  

            grid = string("mosaic"), nchan = initialize_vector(1, (int)1),  

            start = initialize_vector(1, (int)1),  

            width = initialize_vector(1, (int)1),  

            step = initialize_vector(1, (int)1),  

            imsize = initialize_vector(2,(int)128, (int)128),  

            cell = initialize_vector(2,(int)1, (int)1),  

            stokes = string("I"), fieldid = initialize_vector(1, (int)1),  

            reffieldid = 1, spwid = initialize_vector(1, (int)1),  

            weighting = string("uniform"),  

            mosweight = string("T"), rmode = string("none"),  

            robust = 0.0, minpb = 0.1,  

            scaletype = string("NONE"), stoplargenegatives = -1,  

            cyclefactor = 1.5, cyclespeedup = 2.0) 

 

        Summary 

                Perform mosaic operation 

 

        Description 

                Form images from multi-field visibilities. Handles continuum and spectral line cubes. 

 

        Input Parameters: 

                vis              name of input visibility file (MS)  

                alg              Algorithm to use (mfclark,mfhogbom). Default is 'mfclark'. mfclark  

                niter            Number of iterations. Default=1000. 1000  

                gain             The minor iteration loop gain. Default is 0.1. 0.1  

                threshold        Threshold flux level at which to stop cleaning (in Jy). Default is 0.Jy. 0.0  

                residual         name of residual image. Default is model name concatenated with '.residual'. residual  

                image            name of restored image. Default is model name concatenated with '.restored'. restored  

                model            name of model image. No value.  

                mask             name of mask image. No value.  

                mode             Type of processing (channel or velocity)  

                gridfn           Type of gridding function (spheroidal wave, box car, primary beam SF  

                grid             Type of gridding mosaic or ft (standard interferometry) mosaic  

                nchan            With mode, this defines the number of channels for mapping of visibilities to image channels 1  

                start            With mode, this defines the starting channel for mapping of visibilities to image channels 1  

                width            With mode, this defines the width of channels for mapping of visibilities to image channels 1  

                step             With mode, this defines the step of channels for mapping of visibilities to image channels 1  

                imsize           The size of the output image (pixels). 128 128  

                cell             The image cell size (arcseconds). 1 1  

                stokes           Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I  

                fieldid          Field IDs to include. Default is 1. Allows a vector of available field ids. 1  

                reffieldid       Reference Field IDs to use. Default is 1. 1  

                spwid            Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1  

                weighting        Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform  

                mosweight        Type of weighting used for the mosaic. T means that each field will be weighted individually. T  

                rmode            Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none  

                robust           Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0  

                minpb            Minimum PB level to use. Default is 0.1. 0.1  

                scaletype        Image plane flux scale type ('NONE', 'SAULT'). Default is 'NONE'. NONE  

                stoplargenegatives       Stop large negatives. Default=-1. -1  

                cyclefactor      Cycle factor. Default=1.5. 1.5  

                cyclespeedup     Cycle speedup. Default=2. 2.0  

                 

        Example: 

                 

        -------------------------------------------------------------------------------- 

                       

        """ 

        return _imagertask.imagertask_mosaic(self, *args, **kwargs) 

 

imagertask_swigregister = _imagertask.imagertask_swigregister 

imagertask_swigregister(imagertask) 

 

# This file is compatible with both classic and new-style classes.