Commit f1d34c4c authored by Martin Reinecke's avatar Martin Reinecke

faster CI, fewer warnings

parent 1145c9c3
Pipeline #12731 passed with stage
in 4 minutes and 40 seconds
...@@ -16,35 +16,18 @@ before_script: ...@@ -16,35 +16,18 @@ before_script:
- pip install --upgrade -r ci/requirements.txt - pip install --upgrade -r ci/requirements.txt
test_min: test_all:
stage: test stage: test
script: script:
- python setup.py build_ext --inplace - python setup.py build_ext --inplace
- nosetests -vv - nosetests -vv
test_mpi:
stage: test
script:
- ci/install_pyHealpix.sh - ci/install_pyHealpix.sh
- ci/install_mpi4py.sh - ci/install_mpi4py.sh
- python setup.py build_ext --inplace - python setup.py build_ext --inplace
- nosetests -vv - nosetests -vv
test_mpi_fftw:
stage: test
script:
- ci/install_pyHealpix.sh
- ci/install_mpi4py.sh
- ci/install_pyfftw.sh - ci/install_pyfftw.sh
- python setup.py build_ext --inplace - python setup.py build_ext --inplace
- nosetests -vv - 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 - ci/install_h5py.sh
- python setup.py build_ext --inplace - python setup.py build_ext --inplace
- nosetests -vv --with-coverage --cover-package=nifty --cover-branches - nosetests -vv --with-coverage --cover-package=nifty --cover-branches
......
...@@ -433,10 +433,10 @@ class FFTW(Transform): ...@@ -433,10 +433,10 @@ class FFTW(Transform):
not all(axis in range(len(val.shape)) for axis in axes): not all(axis in range(len(val.shape)) for axis in axes):
raise ValueError("Provided axes does not match array shape") raise ValueError("Provided axes does not match array shape")
if val.dtype not in (np.float, np.complex): #if val.dtype not in (np.float, np.complex):
self.logger.warn("The input array has dtype: %s. The FFT will " # self.logger.warn("The input array has dtype: %s. The FFT will "
"be performed at double precision." % # "be performed at double precision." %
str(val.dtype)) # str(val.dtype))
# If the input is a numpy array we transform it locally # If the input is a numpy array we transform it locally
if not isinstance(val, distributed_data_object): if not isinstance(val, distributed_data_object):
......
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