Merge pull request #5531 from cdeil/kernel-no-warn

Remove warning in Kernel.normalize
astropy · Dec 2, 2016 · 5a776fe · 5a776fe
2 parents 4f3c9e0 + a2ed022
commit 5a776fe
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diff --git a/astropy/convolution/core.py b/astropy/convolution/core.py
@@ -112,12 +112,6 @@ def normalize(self, mode='integral'):
         else:
             np.divide(self._array, normalization, self._array)
 
-            if np.abs(1.0 / normalization) > MAX_NORMALIZATION:
-                warnings.warn('The kernel normalization factor is '
-                              'exceptionally large,'
-                              ' > {0}.'.format(MAX_NORMALIZATION),
-                              AstropyUserWarning)
-
         self._kernel_sum = self._array.sum()
 
     @property

diff --git a/astropy/convolution/tests/test_kernel_class.py b/astropy/convolution/tests/test_kernel_class.py
@@ -473,16 +473,6 @@ def test_kernel_normalization_mode(self):
             kernel = CustomKernel(np.ones(3))
             kernel.normalize(mode='invalid')
 
-    def test_kernel_normalization_large(self, recwarn):
-        """
-        Test that a warning is issued when the inverse normalization factor
-        is large.
-        """
-        kernel = CustomKernel(np.ones(3) * 1.e-3)
-        kernel.normalize()
-        w = recwarn.pop(AstropyUserWarning)
-        assert issubclass(w.category, AstropyWarning)
-
     def test_kernel1d_int_size(self):
         """
         Test that an error is raised if ``Kernel1D`` ``x_size`` is not