From 469ae0ee57b29563a82ab65e272c774f548f048d Mon Sep 17 00:00:00 2001
From: Martin Reinecke <martin@mpa-garching.mpg.de>
Date: Sun, 21 May 2017 11:13:20 +0200
Subject: [PATCH] remove aggressive warnings
---
.../fft_operator/transformations/gllmtransformation.py | 5 -----
.../fft_operator/transformations/hplmtransformation.py | 5 -----
.../fft_operator/transformations/lmgltransformation.py | 5 -----
.../fft_operator/transformations/lmhptransformation.py | 5 -----
.../fft_operator/transformations/rg_transforms.py | 10 ----------
5 files changed, 30 deletions(-)
diff --git a/nifty/operators/fft_operator/transformations/gllmtransformation.py b/nifty/operators/fft_operator/transformations/gllmtransformation.py
index a0e47652b..7029f80ea 100644
--- a/nifty/operators/fft_operator/transformations/gllmtransformation.py
+++ b/nifty/operators/fft_operator/transformations/gllmtransformation.py
@@ -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
diff --git a/nifty/operators/fft_operator/transformations/hplmtransformation.py b/nifty/operators/fft_operator/transformations/hplmtransformation.py
index 314caa008..c8cb15710 100644
--- a/nifty/operators/fft_operator/transformations/hplmtransformation.py
+++ b/nifty/operators/fft_operator/transformations/hplmtransformation.py
@@ -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
diff --git a/nifty/operators/fft_operator/transformations/lmgltransformation.py b/nifty/operators/fft_operator/transformations/lmgltransformation.py
index 5e743c4da..44e5c54e8 100644
--- a/nifty/operators/fft_operator/transformations/lmgltransformation.py
+++ b/nifty/operators/fft_operator/transformations/lmgltransformation.py
@@ -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
diff --git a/nifty/operators/fft_operator/transformations/lmhptransformation.py b/nifty/operators/fft_operator/transformations/lmhptransformation.py
index 6aa87e973..0e9d1e392 100644
--- a/nifty/operators/fft_operator/transformations/lmhptransformation.py
+++ b/nifty/operators/fft_operator/transformations/lmhptransformation.py
@@ -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
diff --git a/nifty/operators/fft_operator/transformations/rg_transforms.py b/nifty/operators/fft_operator/transformations/rg_transforms.py
index acc072291..0ccdb22c5 100644
--- a/nifty/operators/fft_operator/transformations/rg_transforms.py
+++ b/nifty/operators/fft_operator/transformations/rg_transforms.py
@@ -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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