make operator private

nifty5/__init__.py

@@ -50,8 +50,7 @@ from .operators.value_inserter import ValueInserter
 from .operators.energy_operators import (
     EnergyOperator, GaussianEnergy, PoissonianEnergy, InverseGammaLikelihood,
     BernoulliEnergy, StandardHamiltonian, AveragedEnergy)
-from .operators.convolution_operators import (
-    SphericalConvolutionOperator, SphericalFuncConvolutionOperator)
+from .operators.convolution_operators import SphericalFuncConvolutionOperator
 
 from .probing import probe_with_posterior_samples, probe_diagonal, \
     StatCalculator

nifty5/operators/convolution_operators.py

@@ -44,14 +44,13 @@ def SphericalFuncConvolutionOperator(domain, func):
     if not isinstance(domain[0], (HPSpace, GLSpace)):
         raise TypeError("need a spherical domain")
     kernel = domain[0].get_default_codomain().get_conv_kernel_from_func(func)
-    return SphericalConvolutionOperator(domain, kernel)
+    return _SphericalConvolutionOperator(domain, kernel)
 
 
-class SphericalConvolutionOperator(EndomorphicOperator):
+class _SphericalConvolutionOperator(EndomorphicOperator):
     """Convolves with kernel living on the appropriate LMSpace"""
 
     def __init__(self, domain, kernel):
-
         if len(domain) != 1:
             raise ValueError("need exactly one domain")
         if len(kernel.domain) != 1: