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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('_synthesisnormalizer', [dirname(__file__)]) except ImportError: import _synthesisnormalizer return _synthesisnormalizer if fp is not None: try: _mod = imp.load_module('_synthesisnormalizer', fp, pathname, description) finally: fp.close() return _mod _synthesisnormalizer = swig_import_helper() del swig_import_helper else: import _synthesisnormalizer 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 synthesisnormalizer(_object): """Proxy of C++ casac::synthesisnormalizer class""" __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, synthesisnormalizer, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, synthesisnormalizer, name) __repr__ = _swig_repr def __init__(self): """__init__(self) -> synthesisnormalizer""" this = _synthesisnormalizer.new_synthesisnormalizer() try: self.this.append(this) except: self.this = this __swig_destroy__ = _synthesisnormalizer.delete_synthesisnormalizer __del__ = lambda self : None; def setupnormalizer(self, *args, **kwargs): """ setupnormalizer(self, normpars = initialize_record("")) -> bool
Summary Set parameters to control scatter/gather operations
Description
Input Parameters: normpars All parameters for gather/scatter. Mainly file names
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""" return _synthesisnormalizer.synthesisnormalizer_setupnormalizer(self, *args, **kwargs)
def gatherpsfweight(self): """ gatherpsfweight(self) -> bool
Summary Gather PSFs if needed
Description
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""" return _synthesisnormalizer.synthesisnormalizer_gatherpsfweight(self)
def gatherresidual(self): """ gatherresidual(self) -> bool
Summary Gather Residual Imaged if needed
Description
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""" return _synthesisnormalizer.synthesisnormalizer_gatherresidual(self)
def dividepsfbyweight(self): """ dividepsfbyweight(self) -> bool
Summary Divide psf by weight
Description
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""" return _synthesisnormalizer.synthesisnormalizer_dividepsfbyweight(self)
def divideresidualbyweight(self): """ divideresidualbyweight(self) -> bool
Summary Divide residual by weight
Description
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""" return _synthesisnormalizer.synthesisnormalizer_divideresidualbyweight(self)
def dividemodelbyweight(self): """ dividemodelbyweight(self) -> bool
Summary Divide model by weight
Description
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""" return _synthesisnormalizer.synthesisnormalizer_dividemodelbyweight(self)
def multiplymodelbyweight(self): """ multiplymodelbyweight(self) -> bool
Summary Multiply model by weight
Description
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""" return _synthesisnormalizer.synthesisnormalizer_multiplymodelbyweight(self)
def scattermodel(self): """ scattermodel(self) -> bool
Summary Scatter model if needed
Description
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""" return _synthesisnormalizer.synthesisnormalizer_scattermodel(self)
def getimstore(self): """ getimstore(self) -> casac::synthesisimstore
Summary Get Image store
Description
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""" return _synthesisnormalizer.synthesisnormalizer_getimstore(self)
def setimstore(self, *args, **kwargs): """ setimstore(self, imstore) -> bool
Summary Set ImageStore
Description
Input Parameters: imstore Image Store object
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""" return _synthesisnormalizer.synthesisnormalizer_setimstore(self, *args, **kwargs)
def done(self): """ done(self) -> bool
Summary Close the tool
Description
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""" return _synthesisnormalizer.synthesisnormalizer_done(self)
synthesisnormalizer_swigregister = _synthesisnormalizer.synthesisnormalizer_swigregister synthesisnormalizer_swigregister(synthesisnormalizer)
# This file is compatible with both classic and new-style classes.
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