Merge 8aa5304 into 774bd43

.github/workflows/build_check.yml

@@ -41,6 +41,8 @@ jobs:
       with:
         name: release
         path: numcosmo-*.tar.gz
+    - name: Ensure clear Jupyter Notebooks
+      uses: ResearchSoftwareActions/EnsureCleanNotebooksAction@1.1
 
   coveralls-gcc-ubuntu:
 
@@ -94,3 +96,5 @@ jobs:
       run: make -j8
     - name: make check
       run: make check -j8
+    - name: Ensure clear Jupyter Notebooks
+      uses: ResearchSoftwareActions/EnsureCleanNotebooksAction@1.1

docs/numcosmo-docs.sgml

@@ -185,6 +185,7 @@
       <xi:include href="xml/ncm_data_gauss_cov_mvnd.xml"/>
       <xi:include href="xml/ncm_model_rosenbrock.xml"/>
       <xi:include href="xml/ncm_data_rosenbrock.xml"/>
+      <xi:include href="xml/ncm_data_gaussmix2d.xml"/>
       <xi:include href="xml/ncm_model_funnel.xml"/>
       <xi:include href="xml/ncm_data_funnel.xml"/>
     </section>   

examples/example_apes.py

@@ -0,0 +1,42 @@
+#!/usr/bin/env python
+#
+# example_apes.py
+#
+# Wed Feb 8 10:00:00 2023
+# Copyright  2023  Sandro Dias Pinto Vitenti
+# <vitenti@uel.br>
+#
+# example_apes.py
+# Copyright (C) 2023 Sandro Dias Pinto Vitenti <vitenti@uel.br>
+#
+# numcosmo is free software: you can redistribute it and/or modify it
+# under the terms of the GNU General Public License as published by the
+# Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# numcosmo is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
+# See the GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License along
+# with this program.  If not, see <http://www.gnu.org/licenses/>.
+
+"""Example of using the APES MCMC sampler on test posteriors."""
+
+import typer
+from numcosmo_py import Ncm
+from numcosmo_py.experiments.rosenbrock import run_rosenbrock_mcmc
+from numcosmo_py.experiments.gaussmix2d import run_gaussmix2d_mcmc
+from numcosmo_py.experiments.funnel import run_funnel_mcmc
+
+
+Ncm.cfg_init()
+app = typer.Typer()
+
+app.command()(run_rosenbrock_mcmc)
+app.command()(run_gaussmix2d_mcmc)
+app.command()(run_funnel_mcmc)
+
+if __name__ == "__main__":
+    app()