faster CI, fewer warnings

.gitlab-ci.yml

@@ -16,35 +16,18 @@ before_script:
   - pip install --upgrade -r ci/requirements.txt
 
 
-test_min:
+test_all:
   stage: test
   script:
     - python setup.py build_ext --inplace
     - nosetests -vv
-
-test_mpi:
-  stage: test
-  script:
     - ci/install_pyHealpix.sh
     - ci/install_mpi4py.sh
     - python setup.py build_ext --inplace
     - nosetests -vv
-
-test_mpi_fftw:
-  stage: test
-  script:
-    - ci/install_pyHealpix.sh
-    - ci/install_mpi4py.sh
     - ci/install_pyfftw.sh
     - python setup.py build_ext --inplace
     - nosetests -vv
-
-test_mpi_fftw_hdf5:
-  stage: test
-  script:
-    - ci/install_pyHealpix.sh
-    - ci/install_mpi4py.sh
-    - ci/install_pyfftw.sh
     - ci/install_h5py.sh
     - python setup.py build_ext --inplace
     - nosetests -vv --with-coverage --cover-package=nifty --cover-branches

nifty/operators/fft_operator/transformations/rg_transforms.py

@@ -433,10 +433,10 @@ class FFTW(Transform):
                 not all(axis in range(len(val.shape)) for axis in axes):
             raise ValueError("Provided axes does not match array shape")
 
-        if val.dtype not in (np.float, np.complex):
-            self.logger.warn("The input array has dtype: %s. The FFT will "
-                             "be performed at double precision." %
-                             str(val.dtype))
+        #if val.dtype not in (np.float, np.complex):
+        #    self.logger.warn("The input array has dtype: %s. The FFT will "
+        #                     "be performed at double precision." %
+        #                     str(val.dtype))
 
         # If the input is a numpy array we transform it locally
         if not isinstance(val, distributed_data_object):