new release

CHANGELOG.md

@@ -5,7 +5,7 @@ All notable changes to nautilus will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [Unreleased]
+## [1.0.5] - 2023-10-18
 
 ### Added
 - The equal-weighted posterior can now be made larger and more precise using the `equal_weight_boost` keyword argument of `sampler.posterior`.

nautilus/__init__.py

@@ -5,4 +5,4 @@
 
 __author__ = 'Johannes U. Lange'
 __email__ = 'julange.astro@pm.me'
-__version__ = '1.0.4'
+__version__ = '1.0.5'

nautilus/sampler.py

@@ -7,7 +7,6 @@
 import numpy as np
 
 from functools import partial
-from multiprocessing import Pool
 from pathlib import Path
 from scipy.special import logsumexp
 from shutil import get_terminal_size
@@ -16,7 +15,7 @@
 from warnings import warn
 
 from .bounds import UnitCube, NautilusBound
-from .pool import initialize_worker, likelihood_worker, NautilusPool
+from .pool import likelihood_worker, NautilusPool
 
 
 class Sampler():
@@ -608,7 +607,7 @@ def posterior(self, return_as_dict=None, equal_weight=False,
             repeats = np.exp(log_w - np.amax(log_w)) * equal_weight_boost
             repeats = np.floor(repeats).astype(int) + (
                 self.rng.random(len(repeats)) < repeats - np.floor(repeats)
-                ).astype(int)
+            ).astype(int)
             points = np.repeat(points, repeats, axis=0)
             log_w = np.zeros(np.sum(repeats))
             log_l = np.repeat(log_l, repeats, axis=0)

tests/test_sampler.py

@@ -38,6 +38,8 @@ def likelihood(x):
     points, log_w, log_l = sampler.posterior(return_as_dict=pass_dict)
     points, log_w, log_l = sampler.posterior(
         return_as_dict=pass_dict, equal_weight=True)
+    # All points should be unique (unless equal_weight_boost > 1).
+    assert len(np.unique(points, axis=0)) == len(points)
     assert sampler.n_eff > 0
     sampler.log_z
     assert sampler.eta > 0