[openscapes] Offer just one allocation option for the workshop on a bigger machine:

config/clusters/openscapes/workshop.values.yaml

@@ -64,84 +64,20 @@ basehub:
         default: true
         kubespawner_override:
           image: openscapes/python:3ad4036
-        profile_options: &profile_options
+        profile_options:
           requests: &profile_options_resource_allocation
             display_name: Resource Allocation
             choices:
-              mem_1_9:
-                display_name: 1.9 GB RAM, upto 3.7 CPUs
-                kubespawner_override:
-                  mem_guarantee: 1991244775
-                  mem_limit: 1991244775
-                  cpu_guarantee: 0.2328125
-                  cpu_limit: 3.725
-                  node_selector:
-                    node.kubernetes.io/instance-type: r5.xlarge
-                default: true
-              mem_3_7:
-                display_name: 3.7 GB RAM, upto 3.7 CPUs
-                kubespawner_override:
-                  mem_guarantee: 3982489550
-                  mem_limit: 3982489550
-                  cpu_guarantee: 0.465625
-                  cpu_limit: 3.725
-                  node_selector:
-                    node.kubernetes.io/instance-type: r5.xlarge
-              mem_7_4:
-                display_name: 7.4 GB RAM, upto 3.7 CPUs
-                kubespawner_override:
-                  mem_guarantee: 7964979101
-                  mem_limit: 7964979101
-                  cpu_guarantee: 0.93125
-                  cpu_limit: 3.725
-                  node_selector:
-                    node.kubernetes.io/instance-type: r5.xlarge
-              mem_14_8:
-                display_name: 14.8 GB RAM, upto 3.7 CPUs
-                kubespawner_override:
-                  mem_guarantee: 15929958203
-                  mem_limit: 15929958203
-                  cpu_guarantee: 1.8625
-                  cpu_limit: 3.725
-                  node_selector:
-                    node.kubernetes.io/instance-type: r5.xlarge
-              mem_29_7:
-                display_name: 29.7 GB RAM, upto 3.7 CPUs
-                kubespawner_override:
-                  mem_guarantee: 31859916406
-                  mem_limit: 31859916406
-                  cpu_guarantee: 3.725
-                  cpu_limit: 3.725
-                  node_selector:
-                    node.kubernetes.io/instance-type: r5.xlarge
-              mem_60_6:
-                display_name: 60.6 GB RAM, upto 15.6 CPUs
-                kubespawner_override:
-                  mem_guarantee: 65094448840
-                  mem_limit: 65094448840
-                  cpu_guarantee: 7.8475
-                  cpu_limit: 15.695
-                  node_selector:
-                    node.kubernetes.io/instance-type: r5.4xlarge
-              mem_121_2:
-                display_name: 121.2 GB RAM, upto 15.6 CPUs
+              mem_15_gb:
+                display_name: ~15 GB RAM, ~1.9 CPUs
+                description: Up to ~15 CPUs when available
                 kubespawner_override:
-                  mem_guarantee: 130188897681
-                  mem_limit: 130188897681
-                  cpu_guarantee: 15.695
-                  cpu_limit: 15.695
+                  mem_guarantee: 16005176754
+                  mem_limit: 16005176754
+                  cpu_guarantee: 1.9226375
+                  cpu_limit: 15.3811
                   node_selector:
                     node.kubernetes.io/instance-type: r5.4xlarge
-      - display_name: R + Python Geospatial
-        description: Py-R - Geospatial + QGIS, Panoply, CWUtils - py-rocket-geospatial-2 latest
-        kubespawner_override:
-          image: ghcr.io/nmfs-opensci/container-images/py-rocket-geospatial-2:latest
-        profile_options: *profile_options
-      - display_name: Matlab
-        description: Matlab environment
-        kubespawner_override:
-          image: openscapes/matlab:2023-11-28
-        profile_options: *profile_options
       - display_name: Bring your own image
         description: Specify your own docker image (must have python and jupyterhub installed in it)
         slug: custom