From 96d529054dab28c23f3fc1fda94b43b9b051c6da Mon Sep 17 00:00:00 2001 From: Philipp Arras <parras@mpa-garching.mpg.de> Date: Tue, 21 Jan 2020 20:56:26 +0100 Subject: [PATCH] Formatting --- nifty6/minimization/metric_gaussian_kl.py | 4 ++-- nifty6/operators/sampling_enabler.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/nifty6/minimization/metric_gaussian_kl.py b/nifty6/minimization/metric_gaussian_kl.py index e665efd2c..ca09b9747 100644 --- a/nifty6/minimization/metric_gaussian_kl.py +++ b/nifty6/minimization/metric_gaussian_kl.py @@ -79,7 +79,7 @@ class MetricGaussianKL(Energy): def __init__(self, mean, hamiltonian, n_samples, constants=[], point_estimates=[], mirror_samples=False, - napprox=0, _samples=None, lh_sampling_dtype = np.float): + napprox=0, _samples=None, lh_sampling_dtype=np.float64): super(MetricGaussianKL, self).__init__(mean) if not isinstance(hamiltonian, StandardHamiltonian): @@ -101,7 +101,7 @@ class MetricGaussianKL(Energy): if napprox > 1: met._approximation = makeOp(approximation2endo(met, napprox)) _samples = tuple(met.draw_sample(from_inverse=True, - dtype = lh_sampling_dtype) + dtype=lh_sampling_dtype) for _ in range(n_samples)) if mirror_samples: _samples += tuple(-s for s in _samples) diff --git a/nifty6/operators/sampling_enabler.py b/nifty6/operators/sampling_enabler.py index 3797f1119..e78846d94 100644 --- a/nifty6/operators/sampling_enabler.py +++ b/nifty6/operators/sampling_enabler.py @@ -71,7 +71,7 @@ class SamplingEnabler(EndomorphicOperator): else: s = self._prior.draw_sample(from_inverse=True) sp = self._prior(s) - nj = self._likelihood.draw_sample(dtype = dtype) + nj = self._likelihood.draw_sample(dtype=dtype) energy = QuadraticEnergy(s, self._op, sp + nj, _grad=self._likelihood(s) - nj) inverter = ConjugateGradient(self._ic) -- GitLab