Commit 469ae0ee authored by Martin Reinecke's avatar Martin Reinecke

remove aggressive warnings

parent 6403cd03
Pipeline #12732 passed with stage
in 4 minutes and 35 seconds
......@@ -100,11 +100,6 @@ class GLLMTransformation(SlicingTransformation):
super(GLLMTransformation, cls).check_codomain(domain, codomain)
def _transformation_of_slice(self, inp, **kwargs):
if inp.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(inp.dtype))
nlat = self.domain.nlat
nlon = self.domain.nlon
lmax = self.codomain.lmax
......
......@@ -92,11 +92,6 @@ class HPLMTransformation(SlicingTransformation):
super(HPLMTransformation, cls).check_codomain(domain, codomain)
def _transformation_of_slice(self, inp, **kwargs):
if inp.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(inp.dtype))
lmax = self.codomain.lmax
mmax = lmax
......
......@@ -106,11 +106,6 @@ class LMGLTransformation(SlicingTransformation):
super(LMGLTransformation, cls).check_codomain(domain, codomain)
def _transformation_of_slice(self, inp, **kwargs):
if inp.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(inp.dtype))
nlat = self.codomain.nlat
nlon = self.codomain.nlon
lmax = self.domain.lmax
......
......@@ -94,11 +94,6 @@ class LMHPTransformation(SlicingTransformation):
super(LMHPTransformation, cls).check_codomain(domain, codomain)
def _transformation_of_slice(self, inp, **kwargs):
if inp.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(inp.dtype))
nside = self.codomain.nside
lmax = self.domain.lmax
mmax = lmax
......
......@@ -433,11 +433,6 @@ 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 the input is a numpy array we transform it locally
if not isinstance(val, distributed_data_object):
# Cast to a np.ndarray
......@@ -582,11 +577,6 @@ class NUMPYFFT(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))
return_val = val.copy_empty(global_shape=val.shape,
dtype=np.complex)
......
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