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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('_fitter', [dirname(__file__)]) 

        except ImportError: 

            import _fitter 

            return _fitter 

        if fp is not None: 

            try: 

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

            finally: 

                fp.close() 

            return _mod 

    _fitter = swig_import_helper() 

    del swig_import_helper 

else: 

    import _fitter 

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 fitter(_object): 

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

    __swig_setmethods__ = {} 

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

    __swig_getmethods__ = {} 

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

    __repr__ = _swig_repr 

    def __init__(self): 

        """__init__(self) -> fitter""" 

        this = _fitter.new_fitter() 

        try: self.this.append(this) 

        except: self.this = this 

    __swig_destroy__ = _fitter.delete_fitter 

    __del__ = lambda self : None; 

    def gauss1d(self, *args, **kwargs): 

        """ 

        gauss1d(self, y = std::vector< double >(), x = std::vector< double >(),  

            mask = std::vector< bool >(), pampest = initialize_variant(""),  

            pcenterest = initialize_variant(""),  

            pfwhmest = initialize_variant("")) -> record 

 

        Summary 

                Fit any number of one dimensional Gaussians. 

 

        Description 

                 

 

                 

 

        Input Parameters: 

                y                The array of y values.  

                x                The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated.  

                mask             Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask)..  

                pampest          Initial estimate PCF profile amplitudes.  

                pcenterest       Initial estimate PCF profile centers.  

                pfwhmest         Initial estimate PCF profile FWHMs.  

                 

        Example: 

                 

 

                 

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

                       

        """ 

        return _fitter.fitter_gauss1d(self, *args, **kwargs) 

 

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

        """ 

        logtranspoly(self, y = std::vector< double >(), x = std::vector< double >(),  

            mask = std::vector< bool >(), estimates = std::vector< double >()) -> record 

 

        Summary 

                A logarithmic transformed polynomial, ln(y) = c_0 + c_1*ln(x) + c_2*ln(x)**2 + ... + c_n*ln(x)**(n) 

 

        Description 

                 

 

                 

 

        Input Parameters: 

                y                The array of y values, which will be converted to ln(y) before fitting.  

                x                The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated.  

                mask             Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask)..  

                estimates        Initial estimate of parameters.  

                 

        Example: 

                 

 

                 

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

                       

        """ 

        return _fitter.fitter_logtranspoly(self, *args, **kwargs) 

 

    def poly(self, *args, **kwargs): 

        """ 

        poly(self, y = std::vector< double >(), x = std::vector< double >(),  

            mask = std::vector< bool >(), estimates = std::vector< double >()) -> record 

 

        Summary 

                A polynomial, c_0 + c_1*x + c_2*x**2 + ... + c_n*x**n 

 

        Description 

                 

 

                 

 

        Input Parameters: 

                y                The array of y values.  

                x                The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated.  

                mask             Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask)..  

                estimates        Initial estimate of parameters.  

                 

        Example: 

                 

 

                 

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

                       

        """ 

        return _fitter.fitter_poly(self, *args, **kwargs) 

 

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

        """ 

        powerlogpoly(self, y = std::vector< double >(), x = std::vector< double >(),  

            mask = std::vector< bool >(), estimates = std::vector< double >()) -> record 

 

        Summary 

                A power logarithmic polynomial, c_0*x**(c_1 + c_2*ln(x) + c_3*ln(x)**2 + ... + c_n*ln(x)**(n-1) 

 

        Description 

                 

 

                 

 

        Input Parameters: 

                y                The array of y values.  

                x                The array of x values. If specified, must have the same length as y. If not specified, integral values from 0 to len(y)-1 are generated.  

                mask             Mask array. Values are masked where this array is False. If specified, must have the same length as y. If not specified, all values are assumed True (no mask)..  

                estimates        Initial estimate of parameters.  

                 

        Example: 

                 

 

                 

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

                       

        """ 

        return _fitter.fitter_powerlogpoly(self, *args, **kwargs) 

 

fitter_swigregister = _fitter.fitter_swigregister 

fitter_swigregister(fitter) 

 

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