From 37e802de8defb34749a90a0601187acd90699f74 Mon Sep 17 00:00:00 2001
From: Martin Reinecke <martin@mpa-garching.mpg.de>
Date: Fri, 23 Mar 2018 16:18:53 +0100
Subject: [PATCH] temporary renaming to make things less confusing
---
nifty4/library/nonlinear_power_energy.py | 2 +-
nifty4/library/wiener_filter_curvature.py | 2 +-
nifty4/probing/utils.py | 2 +-
test/test_energies/test_noise.py | 2 +-
4 files changed, 4 insertions(+), 4 deletions(-)
diff --git a/nifty4/library/nonlinear_power_energy.py b/nifty4/library/nonlinear_power_energy.py
index 50f4a9d0c..8ba6c0339 100644
--- a/nifty4/library/nonlinear_power_energy.py
+++ b/nifty4/library/nonlinear_power_energy.py
@@ -70,7 +70,7 @@ class NonlinearPowerEnergy(Energy):
if samples is None or samples == 0:
xi_sample_list = [xi]
else:
- xi_sample_list = [D.draw_sample() + xi
+ xi_sample_list = [D.draw_inverse_sample() + xi
for _ in range(samples)]
self.xi_sample_list = xi_sample_list
self.inverter = inverter
diff --git a/nifty4/library/wiener_filter_curvature.py b/nifty4/library/wiener_filter_curvature.py
index 08e075bab..2373905bc 100644
--- a/nifty4/library/wiener_filter_curvature.py
+++ b/nifty4/library/wiener_filter_curvature.py
@@ -60,7 +60,7 @@ class WienerFilterCurvature(EndomorphicOperator):
def apply(self, x, mode):
return self._op.apply(x, mode)
- def draw_sample(self, dtype=np.float64):
+ def draw_inverse_sample(self, dtype=np.float64):
n = self.N.draw_sample(dtype)
s = self.S.draw_sample(dtype)
diff --git a/nifty4/probing/utils.py b/nifty4/probing/utils.py
index c36b5f070..e11b2bd7c 100644
--- a/nifty4/probing/utils.py
+++ b/nifty4/probing/utils.py
@@ -51,7 +51,7 @@ class StatCalculator(object):
def probe_with_posterior_samples(op, post_op, nprobes):
sc = StatCalculator()
for i in range(nprobes):
- sample = post_op(op.draw_sample())
+ sample = post_op(op.draw_inverse_sample())
sc.add(sample)
if nprobes == 1:
diff --git a/test/test_energies/test_noise.py b/test/test_energies/test_noise.py
index 143d0b62c..f6ddf1874 100644
--- a/test/test_energies/test_noise.py
+++ b/test/test_energies/test_noise.py
@@ -84,7 +84,7 @@ class Noise_Energy_Tests(unittest.TestCase):
S=S,
inverter=inverter).curvature
- res_sample_list = [d - R(f(ht(C.draw_sample() + xi)))
+ res_sample_list = [d - R(f(ht(C.draw_inverse_sample() + xi)))
for _ in range(10)]
energy0 = ift.library.NoiseEnergy(eta0, alpha, q, res_sample_list)
--
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