From: Ole Streicher Date: Sun, 9 Feb 2025 14:36:20 +0100 Subject: Explicitly cast doctest results to float Closes: #1095328 --- astroML/density_estimation/empirical.py | 4 ++-- astroML/utils/utils.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/astroML/density_estimation/empirical.py b/astroML/density_estimation/empirical.py index 6020b14..47fc4ce 100644 --- a/astroML/density_estimation/empirical.py +++ b/astroML/density_estimation/empirical.py @@ -71,10 +71,10 @@ class EmpiricalDistribution: >>> import numpy as np >>> np.random.seed(0) >>> x = np.random.normal(size=10000) # normally-distributed variables - >>> x.mean(), x.std() + >>> float(x.mean()), float(x.std()) (-0.018433720158265783, 0.98755656817612003) >>> x2 = EmpiricalDistribution(x).rvs(10000) - >>> x2.mean(), x2.std() + >>> float(x2.mean()), float(x2.std()) (-0.020293716681613363, 1.0039249294845276) Notes diff --git a/astroML/utils/utils.py b/astroML/utils/utils.py index c4e0ff5..5c771de 100644 --- a/astroML/utils/utils.py +++ b/astroML/utils/utils.py @@ -53,7 +53,7 @@ def log_multivariate_gaussian(x, mu, V, Vinv=None, method=1): >>> x = [1, 2] >>> mu = [0, 0] >>> V = [[2, 1], [1, 2]] - >>> log_multivariate_gaussian(x, mu, V) + >>> float(log_multivariate_gaussian(x, mu, V)) -3.3871832107434003 """ x = np.asarray(x, dtype=float)