OSError: Timeout error on Windows from AzureMLCluster

I was trying to introduce students to dask-cloudprovider today, and hit a few issues (e.g. #145). One was that most (maybe all) my window users got this timeout:

when running this code:

amlcluster = AzureMLCluster(
    ws,
    vm_size="Standard_DS11_v2",  # Azure VM size for the Compute Target. This VM has only 2 CPUs.
    datastores=ws.datastores.values(),  # Azure ML Datastores to mount on the headnode
    environment_definition=ws.environments[
        "AzureML-Dask-CPU"
    ],  # Azure ML Environment to run on the cluster
    jupyter=True,  # Flag to start JupyterLab session on the headnode
    scheduler_idle_timeout=7200,  # scheduler idle timeout in seconds
    initial_node_count=3,  # Number of cores to start with.
    # We only use 3 to stay below 6 CPUs quota of student accounts
)

Again, windows only… any thoughts?

[lostmygithubaccount]

so clearly a bug in getting/parsing the hostname on Windows machine - as a workaround I think WSL might work. but the longer term solution with more stability will be #154 which hopefully we can get something for in the next few weeks

[nickeubank]

If this is helpful in any way, when I try and replicate this problem using Windows 10 running on VMWare on my mac, I don’t have any problems (grrr…).

Gonna see if I have any students with time to play with things on their regular windows machines.