Merge the Julia Notebook bump to 1.10 and the addition of the SpeedyW…

…eather package

architecture.yml

@@ -286,6 +286,6 @@ architecture:
         tag: latest
         pipeline_dependent: true
       parameters:
-        JULIA_MAJOR_VERSION: 1.9
-        JULIA_MINOR_VERSION: 4
-        JULIA_DOWNLOAD_MD5: 3503c6bc79c48b4e13178155ebe9cae5
+        JULIA_MAJOR_VERSION: "1.10"
+        JULIA_MINOR_VERSION: "0"
+        JULIA_DOWNLOAD_MD5: c16f16304cac9af1501ae71c02cb4d1e

base-notebook/Dockerfile.j2

@@ -29,6 +29,7 @@ RUN apt-get update \
     g++ \
     gcc \
     gfortran \
+    gdb \
     git \
     htop \
     less \

julia-notebook/packages.jl

@@ -3,7 +3,8 @@ using Pkg
 dependencies = [
     "Oscar",
     "HomotopyContinuation",
-    "DifferentialEquations"
+    "DifferentialEquations",
+    "SpeedyWeather"
 ]
 
-Pkg.add(dependencies)
+Pkg.add(dependencies)

julia-notebook/tests/test_notebook.py

@@ -5,10 +5,10 @@
 
 cur_path = os.path.abspath(".")
 notebooks_path = os.path.join(cur_path, "notebooks")
-kernels = ["julia-1.9"]
+kernels = ["julia-1.10"]
 
 
-def _notebook_run(path, kernel="julia-1.9", timeout=300):
+def _notebook_run(path, kernel="julia-1.10", timeout=300):
     """Execute a notebook via nbconvert and collect output.
     :returns (parsed nb object, execution errors)
     """

r-notebook/res/keras_package.R

@@ -1,6 +1,6 @@
-# ## CRAN packages
-# install.packages(c(
-#     "keras"), repos="http://mirrors.dotsrc.org/cran/")
 
-# library(keras)
-# install_keras(method='conda', tensorflow="default")
+# CRAN packages
+install.packages(c("keras"), repos="http://mirrors.dotsrc.org/cran/")
+
+library(keras)
+install_keras(method='conda', version='2.13.0')