From ef1c1d72058b89d1e944fc31204aa2d732ea58b9 Mon Sep 17 00:00:00 2001
From: Richard <richardhayes777@gmail.com>
Date: Mon, 6 Jun 2022 14:11:00 +0100
Subject: [PATCH 1/2] don't pass private attributes from model to instance

---
 autofit/mapper/prior_model/collection.py | 2 ++
 test_autofit/mapper/model/test_freeze.py | 8 ++++++++
 2 files changed, 10 insertions(+)

diff --git a/autofit/mapper/prior_model/collection.py b/autofit/mapper/prior_model/collection.py
index 43c49665c..aa3db67a7 100644
--- a/autofit/mapper/prior_model/collection.py
+++ b/autofit/mapper/prior_model/collection.py
@@ -172,6 +172,8 @@ def _instance_for_arguments(self, arguments):
         """
         result = ModelInstance()
         for key, value in self.__dict__.items():
+            if key.startswith("_"):
+                continue
             if isinstance(value, AbstractPriorModel):
                 value = value.instance_for_arguments(arguments)
             elif isinstance(value, Prior):
diff --git a/test_autofit/mapper/model/test_freeze.py b/test_autofit/mapper/model/test_freeze.py
index 57a3ac70b..67418a561 100644
--- a/test_autofit/mapper/model/test_freeze.py
+++ b/test_autofit/mapper/model/test_freeze.py
@@ -81,3 +81,11 @@ def test_unfreeze(
     frozen_collection.unfreeze()
     frozen_collection["key"] = "value"
     frozen_collection[0].key = "value"
+
+
+def test_unfrozen_instance(
+        frozen_collection
+):
+    instance = frozen_collection.instance_from_prior_medians()
+    assert instance._frozen_cache == {}
+    assert instance._is_frozen is False

From 03b90f5c21795884944975e580da1f7eb5d09ec1 Mon Sep 17 00:00:00 2001
From: Richard <richardhayes777@gmail.com>
Date: Mon, 6 Jun 2022 14:11:14 +0100
Subject: [PATCH 2/2] condition for sneaky pool is that number of cores exceeds
 1

---
 autofit/non_linear/nest/dynesty/abstract.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/autofit/non_linear/nest/dynesty/abstract.py b/autofit/non_linear/nest/dynesty/abstract.py
index 241313e1c..4eb911c72 100644
--- a/autofit/non_linear/nest/dynesty/abstract.py
+++ b/autofit/non_linear/nest/dynesty/abstract.py
@@ -141,7 +141,7 @@ def _fit(self, model: AbstractPriorModel, analysis, log_likelihood_cap=None):
             self.logger.info("Existing Dynesty samples found, resuming non-linear search.")
 
         else:
-            if self.number_of_cores >= 1:
+            if self.number_of_cores > 1:
                 pool = self.make_sneaky_pool(
                     fitness_function
                 )