add note in forecasting example

Author: MatthewSZhang

.gitignore

@@ -32,4 +32,5 @@ doc/generated/
 doc/auto_examples/
 doc/sg_execution_times.rst
 doc/.jupyterlite.doit.db
-doc/jupyterlite_contents/
+doc/jupyterlite_contents/
+doc/_contents/

examples/plot_forecasting.py

@@ -5,6 +5,9 @@
 
 .. currentmodule:: fastcan.narx
 
+.. note::
+    This example can NOT be run with JupyterLite so far.
+
 In this examples, we will demonstrate how to use :func:`make_narx` to build (nonlinear)
 AutoRegressive (AR) models for time-series forecasting.
 The time series used isthe monthly average atmospheric CO2 concentrations

pixi.lock

@@ -156,7 +156,7 @@ spell = "codespell"
 
 [tool.pixi.feature.docs.tasks]
 doc = { cmd = "{{ SPHINXBUILD }} -M {{ CMD }} {{ SOURCEDIR }} {{ BUILDDIR }} {{ SPHINXOPTS }} --fail-on-warning", cwd = "doc", args = [{ arg = "SPHINXBUILD", default = "sphinx-build" }, { arg = "CMD", default = "html" }, { arg = "SOURCEDIR", default = "." }, { arg = "BUILDDIR", default = "_build" }, { arg = "SPHINXOPTS", default = "" }] }
-doc-clean = { cmd = "rm -rf {{ BUILDDIR }} generated auto_examples jupyterlite_contents", cwd = "doc", args = [{ arg = "BUILDDIR", default = "_build" }] }
+doc-clean = { cmd = "rm -rf {{ BUILDDIR }} generated auto_examples jupyterlite_contents .jupyterlite.doit.db _contents", cwd = "doc", args = [{ arg = "BUILDDIR", default = "_build" }] }
 doc-deploy = { cmd = "python -m http.server" , cwd = "doc/_build/html" }
 
 [tool.pixi.feature.nogil.tasks]