bump arcticto to 2.5

Jammy2211 · Sep 16, 2023 · 4179c3b · 4179c3b
1 parent 6cb59cf
commit 4179c3b
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Showing 4 changed files with 6 additions and 6 deletions.
diff --git a/README.rst b/README.rst
@@ -186,7 +186,7 @@ which fits a CTI model to charge injection imaging calibrate data (a form of dat
     """
     We define the non-linear search used to fit the model to the data (in this case, Dynesty).
     """
-    search = af.DynestyStatic(name="search[example]", nlive=50)
+    search = af.Nautilus(name="search[example]", n_live=50)
 
     """
     We next set up the `Analysis`, which contains the `log likelihood function` that the

diff --git a/docs/api/modeling.rst b/docs/api/modeling.rst
@@ -47,7 +47,7 @@ Markov Chain Monte Carlo (MCMC) and optimizers.
    :template: custom-class-template.rst
    :recursive:
 
-   DynestyStatic
+   Nautilus
    DynestyDynamic
    Emcee
    PySwarmsLocal

diff --git a/docs/overview/overview_6_cti_calibration.rst b/docs/overview/overview_6_cti_calibration.rst
@@ -161,7 +161,7 @@ very effective at lens modeling.
 
 .. code-block:: python
 
-    search = af.DynestyStatic(name="overview_modeling_2d")
+    search = af.Nautilus(name="overview_modeling_2d")
 
 Analysis
 --------
@@ -377,7 +377,7 @@ We again use ``dynesty`` (https://github.com/joshspeagle/dynesty) to fit the mod
 
 .. code-block:: python
 
-    search = af.DynestyStatic(name="overview_modeling_1d")
+    search = af.Nautilus(name="overview_modeling_1d")
 
 We next create a list of ``AnalysisDataset1D`` objects, which each contain a ``log_likelihood_function`` that the
 non-linear search calls to fit the CIT model to the data.

diff --git a/optional_requirements.txt b/optional_requirements.txt
@@ -1,4 +1,4 @@
 numba<=0.56.4
 pyyaml==5.3.1
-arcticpy==2.4
-ultranest==3.6.2
+arcticpy==2.5
+ultranest==3.6.2