feature/horror

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):

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
                 )

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