lsst.meas.base.diaCalculationPlugins Namespace Reference

Classes
class	MeanDiaPositionConfig
class	MeanDiaPosition
class	HTMIndexDiaPositionConfig
class	HTMIndexDiaPosition
class	NumDiaSourcesDiaPluginConfig
class	NumDiaSourcesDiaPlugin
class	SimpleSourceFlagDiaPluginConfig
class	SimpleSourceFlagDiaPlugin
class	WeightedMeanDiaPsFluxConfig
class	WeightedMeanDiaPsFlux
class	PercentileDiaPsFluxConfig
class	PercentileDiaPsFlux
class	SigmaDiaPsFluxConfig
class	SigmaDiaPsFlux
class	Chi2DiaPsFluxConfig
class	Chi2DiaPsFlux
class	MadDiaPsFluxConfig
class	MadDiaPsFlux
class	SkewDiaPsFluxConfig
class	SkewDiaPsFlux
class	MinMaxDiaPsFluxConfig
class	MinMaxDiaPsFlux
class	MaxSlopeDiaPsFluxConfig
class	MaxSlopeDiaPsFlux
class	ErrMeanDiaPsFluxConfig
class	ErrMeanDiaPsFlux
class	LinearFitDiaPsFluxConfig
class	LinearFitDiaPsFlux
class	StetsonJDiaPsFluxConfig
class	StetsonJDiaPsFlux
class	WeightedMeanDiaTotFluxConfig
class	WeightedMeanDiaTotFlux
class	SigmaDiaTotFluxConfig
class	SigmaDiaTotFlux

Functions
def	catchWarnings (_func=None, *warns=[])

Function Documentation

catchWarnings()

def lsst.meas.base.diaCalculationPlugins.catchWarnings	(		_func = None,
		*	warns = []
	)

Decorator for generically catching numpy warnings.

Definition at line 64 of file diaCalculationPlugins.py.

def catchWarnings(_func=None, *, warns=[]):
    """Decorator for generically catching numpy warnings.
    """
    def decoratorCatchWarnings(func):
        @functools.wraps(func)
        def wrapperCatchWarnings(*args, **kwargs):
            with warnings.catch_warnings():
                for val in warns:
                    warnings.filterwarnings("ignore", val)
                return func(*args, **kwargs)
        return wrapperCatchWarnings
 
    if _func is None:
        return decoratorCatchWarnings
    else:
        return decoratorCatchWarnings(_func)