Merge branch 'NIFTy_5' into parallizing_mirrored_samples

test/test_spaces/test_lm_space.py

@@ -66,8 +66,7 @@ def get_k_length_array_configs():
 
 @pmp('attribute', ['lmax', 'mmax', 'size'])
 def test_property_ret_type(attribute):
-    l = ift.LMSpace(7, 5)
-    assert_(isinstance(getattr(l, attribute), int))
+    assert_(isinstance(getattr(ift.LMSpace(7, 5), attribute), int))
 
 
 @pmp('lmax, mmax, expected', CONSTRUCTOR_CONFIGS)
@@ -76,9 +75,8 @@ def test_constructor(lmax, mmax, expected):
         with assert_raises(expected['error']):
             ift.LMSpace(lmax, mmax)
     else:
-        l = ift.LMSpace(lmax, mmax)
         for key, value in expected.items():
-            assert_equal(getattr(l, key), value)
+            assert_equal(getattr(ift.LMSpace(lmax, mmax), key), value)
 
 
 def test_dvol():
@@ -87,5 +85,5 @@ def test_dvol():
 
 @pmp('lmax, expected', get_k_length_array_configs())
 def test_k_length_array(lmax, expected):
-    l = ift.LMSpace(lmax)
-    assert_allclose(l.get_k_length_array().to_global_data(), expected)
+    assert_allclose(ift.LMSpace(lmax).get_k_length_array().to_global_data(),
+                    expected)

test/test_spaces/test_power_space.py

@@ -17,11 +17,12 @@
 
 from itertools import chain, product
 
-import pytest
-import nifty5 as ift
 import numpy as np
+import pytest
 from numpy.testing import assert_, assert_allclose, assert_equal, assert_raises
 
+import nifty5 as ift
+
 pmp = pytest.mark.parametrize
 
 HARMONIC_SPACES = [

test/test_sugar.py

@@ -16,8 +16,7 @@
 # NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
 
 import numpy as np
-import pytest
-from numpy.testing import assert_allclose, assert_equal, assert_raises
+from numpy.testing import assert_equal
 
 import nifty5 as ift
 
@@ -25,8 +24,8 @@ import nifty5 as ift
 def test_get_signal_variance():
     space = ift.RGSpace(3)
     hspace = space.get_default_codomain()
-    spec1 = lambda x: np.ones_like(x)
-    assert_equal(ift.get_signal_variance(spec1, hspace), 3.)
+    sv = ift.get_signal_variance(lambda x: np.ones_like(x), hspace)
+    assert_equal(sv, 3.)
 
     space = ift.RGSpace(3, distances=1.)
     hspace = space.get_default_codomain()