Aesthetic clean-up

Author: mboglesby

netapp_dataops_k8s/netapp_dataops/k8s.py

@@ -4,7 +4,7 @@
 by applications using the import method of utilizing the toolkit.
 """
 
-__version__ = "2.0.0"
+__version__ = "2.1.0_sprint12dev"
 
 from datetime import datetime
 import functools

netapp_dataops_k8s/netapp_dataops/netapp_dataops_k8s_cli.py

@@ -73,7 +73,7 @@
 \t-n, --namespace=\t\tKubernetes namespace that source workspace is located in. If not specified, namespace "default" will be used.
 \t-p, --cpu=\t\t\tNumber of CPUs to reserve for new JupyterLab workspace. Format: '0.5', '1', etc. If not specified, no CPUs will be reserved.
 \t-s, --source-snapshot-name=\tName of Kubernetes VolumeSnapshot to use as source for clone. Either -s/--source-snapshot-name or -j/--source-workspace-name must be specified.
-\t-b, --load-balancer\tOption to use a LoadBalancer instead of using NodePort service. If not specified, NodePort service will be utilized.
+\t-b, --load-balancer\t\tOption to use a LoadBalancer instead of using NodePort service. If not specified, NodePort service will be utilized.
 
 Examples:
 \tnetapp_dataops_k8s_cli.py clone jupyterlab --new-workspace-name=project1-experiment1 --source-workspace-name=project1 --nvidia-gpu=1