Update example

Author: hbcarlos

jupyter-parameterized-kernel-spec/jupyter-parameterized-kernel-specs.md

@@ -22,7 +22,7 @@ Some of the chosen parameter values can be saved in e.g. the notebook metadata s
 
 ## Detailed Explanation
 
-As described in previous sections, we propose to parameterize the kernel specs file. In the example shown below, we can see the kernel specs file from the kernel xeus-cling. We suggest changing the last parameter of the execution command `-std=c++11` to have a variable `-std=${cpp_version}` and adding a new object `parameters` to the metadata of the kernel specs.
+As described in previous sections, we propose to parameterize the kernel specs file. In the example shown below, we can see the kernel specs file from the kernel xeus-cling. We suggest changing the last parameter of the execution command `-std=c++11` to have a variable `-std=${parameters.cpp_version}` and adding a new object `parameters` to the metadata of the kernel specs.
 
 ```=json
 {
@@ -33,6 +33,9 @@ As described in previous sections, we propose to parameterize the kernel specs f
       "{connection_file}",
       "-std=c++11"
   ],
+  env: [
+    "XEUS_LOGLEVEL=ERROR"
+  ],
   "language": "C++11"
 }
 ```
@@ -43,16 +46,33 @@ As described in previous sections, we propose to parameterize the kernel specs f
       "/home/user/micromamba/envs/kernel_spec/bin/xcpp",
       "-f",
       "{connection_file}",
-      "-std=${parameters.cpp_version}"
+      "-std={parameters.cpp_version}"
+  ],
+  env: [
+    "XEUS_LOGLEVEL={parameters.xeus_log_level}"
   ],
   "language": "C++"
   "metadata": {
       "parameters": {
         "cpp_version": {
           "type": "string",
-          "default": 'C++14',
-          "enum": ['C++11', 'C++14', 'C++17'],
+          "default": "C++14",
+          "enum": ["C++11", "C++14", "C++17"],
+          "save": true
+        },
+        "xeus_log_level": {
+          "type": "string",
+          "default": "ERROR",
+          "enum": ["TRACE", "DEBUG", "INFO", "WARN", "ERROR", "FATAL"],
           "save": true
+        },
+        "spark_provisioner": {
+          "title": "Spark Provisioner Parameters"
+          "type": "object",
+          "properties": {
+            "cpus": {"type": "number", "minimum": 0.5, "maximum": 8.0, "default": 4.0, "description": "The number of CPUs to use for this kernel"},
+            "memory": {"type": "integer", "minimum": 2, "maximum": 1024, "default": 8, "description": "The number of GB to reserve for memory for this kernel"}
+          }
         }
       }
     },