How to create a compute instance & compute cluster using azure cli in ML workspace from local Linux machine

How to create a compute instance & compute cluster using azure cli in ML workspace from local linux machine

1) Step verify if there are any compute instance already alive

az resource list

>> pre value collected

az ml compute list -g "rg-dp100-labs" -w "mlw-dp100-labs"

2) Step create compute instance

compute intance:

az ml compute create --name "mlw-dp100-labs-compute01" --size Standard_A1_v2 --type ComputeInstance -w mlw-dp100-labs -g rg-dp100-labs

Actual output:

(azcli) [vagrant@localhost ~]$ az ml compute create --name "mlw-dp100-labs-compute01" --size Standard_A1_v2 --type ComputeInstance -w mlw-dp100-labs -g rg-dp100-labs
{
  "enable_node_public_ip": true,
  "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs/computes/mlw-dp100-labs-compute01",
  "last_operation": {
    "operation_name": "Create",
    "operation_status": "Succeeded",
    "operation_time": "2023-09-09T16:31:17.712Z",
    "operation_trigger": "User"
  },
  "location": "ukwest",
  "name": "mlw-dp100-labs-compute01",
  "network_settings": {
    "private_ip_address": "10.0.0.5",
    "public_ip_address": "51.141.124.49"
  },
  "os_image_metadata": {
    "current_image_version": "23.06.30",
    "is_latest_os_image_version": true,
    "latest_image_version": "23.06.30"
  },
  "provisioning_state": "Succeeded",
  "resourceGroup": "rg-dp100-labs",
  "services": [
    {
      "display_name": "Jupyter",
      "endpoint_uri": "https://mlw-dp100-labs-compute01.ukwest.instances.azureml.ms/tree/"
    },
    {
      "display_name": "Jupyter Lab",
      "endpoint_uri": "https://mlw-dp100-labs-compute01.ukwest.instances.azureml.ms/lab"
    }
  ],
  "size": "STANDARD_A1_V2",
  "ssh_public_access_enabled": false,
  "ssh_settings": {
    "admin_username": "azureuser",
    "ssh_port": "4001"
  },
  "state": "Running",
  "type": "computeinstance"
}

compute cluster:

az ml compute create --name "aml-cluster" --size Standard_A1_v2 --max-instances 2 --type AmlCompute -w mlw-dp100-labs -g rg-dp100-labs

Actual output:

(azcli) [vagrant@localhost ~]$ az ml compute create --name "aml-cluster" --size Standard_A1_v2 --max-instances 2 --type AmlCompute -w mlw-dp100-labs -g rg-dp100-labs

{
  "enable_node_public_ip": true,
  "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs/computes/aml-cluster",
  "idle_time_before_scale_down": 120,
  "location": "ukwest",
  "max_instances": 2,
  "min_instances": 0,
  "name": "aml-cluster",
  "network_settings": {},
  "provisioning_state": "Succeeded",
  "resourceGroup": "rg-dp100-labs",
  "size": "STANDARD_A1_V2",
  "ssh_public_access_enabled": true,
  "tier": "dedicated",
  "type": "amlcompute"
}
(azcli) [vagrant@localhost ~]$

3) Verify again the resource list and compute instances

az resource list

>> no difference to the past output. Since the compute instance and cluster are associated to ML workspace.

az ml compute list -g "rg-dp100-labs" -w "mlw-dp100-labs"

Actual output:

(azcli) [vagrant@localhost ~]$ az ml compute list -g "rg-dp100-labs" -w "mlw-dp100-labs"
[
  {
    "enable_node_public_ip": true,
    "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs/computes/mlw-dp100-labs-compute01",
    "last_operation": {
      "operation_name": "Create",
      "operation_status": "Succeeded",
      "operation_time": "2023-09-09T16:31:17.712Z",
      "operation_trigger": "User"
    },
    "location": "ukwest",
    "name": "mlw-dp100-labs-compute01",
    "network_settings": {
      "private_ip_address": "10.0.0.5",
      "public_ip_address": "51.141.124.49"
    },
    "os_image_metadata": {
      "current_image_version": "23.06.30",
      "is_latest_os_image_version": true,
      "latest_image_version": "23.06.30"
    },
    "provisioning_state": "Succeeded",
    "resourceGroup": "rg-dp100-labs",
    "services": [
      {
        "display_name": "Jupyter",
        "endpoint_uri": "https://mlw-dp100-labs-compute01.ukwest.instances.azureml.ms/tree/"
      },
      {
        "display_name": "Jupyter Lab",
        "endpoint_uri": "https://mlw-dp100-labs-compute01.ukwest.instances.azureml.ms/lab"
      }
    ],
    "size": "STANDARD_A1_V2",
    "ssh_public_access_enabled": false,
    "ssh_settings": {
      "admin_username": "azureuser",
      "ssh_port": "4001"
    },
    "state": "Running",
    "type": "computeinstance"
  },
  {
    "enable_node_public_ip": true,
    "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs/computes/aml-cluster",
    "idle_time_before_scale_down": 120,
    "location": "ukwest",
    "max_instances": 2,
    "min_instances": 0,
    "name": "aml-cluster",
    "network_settings": {},
    "provisioning_state": "Succeeded",
    "resourceGroup": "rg-dp100-labs",
    "size": "STANDARD_A1_V2",
    "ssh_public_access_enabled": true,
    "tier": "dedicated",
    "type": "amlcompute"
  }
]
(azcli) [vagrant@localhost ~]$

How to train a model using Azure ML

How to train a model using Azure ML

1) Launching a terminal for the compute instance

click on compute instance and then "..." near jupyter notebook and launch terminal (if still not launched, use "+" symbol to launch the terminal)

2) installing azure-ai-ml from the terminal

pip uninstall azure-ai-ml

>>> by default none installed

pip install azure-ai-ml

Actual output:

>>> copy/paste wasnt possible (it finished fine with exception for blog and file-share with compatible warnings)

3) cloning azure-ml-labs git repo

git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs

4)  Verify we get new folders created

Users/your-user-name/azure-ml-labs folder has been created.

>> yes we have

5) Open the Labs/02/"Run training script.ipynb" notebook.

6) Verify that the notebook uses the Python 3.8 - AzureML kernel. Each kernel has its own image with its own set of packages pre-installed.

7) Run all cells in the notebook.

>>> here we needed to reauthenticate the visual studio, post reauthentication, we can continue running the cell. The job should run and complete.

8) Check the job progress

Queued -> Preparing -> Running -> finalizing -> Completed

Once job is complete, we can click on the job to see the model's accuracy.

How to create a resource group & ML workspace in Azure using azure cli (az) from local linux machine

How to create a resource group & ML workspace in Azure using azure cli (az) from local linux machine

1) Login to Azure

az login

>>> the command will ask you to authenticate the connection using a code. Finish it before next step.

2) let us list the subscriptions we have:

az account show

3) List down the azure regions:

az account list-locations

Our preferred location:
          "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/locations/ukwest",
          "name": "ukwest",
          "subscriptionId": null

4) Create the azure resource group:

az group create --name "rg-dp100-labs" --location "ukwest"

output:

(azcli) [vagrant@localhost ~]$ az group create --name "rg-dp100-labs" --location "ukwest"
{
  "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs",
  "location": "ukwest",
  "managedBy": null,
  "name": "rg-dp100-labs",
  "properties": {
    "provisioningState": "Succeeded"
  },
  "tags": null,
  "type": "Microsoft.Resources/resourceGroups"
}
(azcli) [vagrant@localhost ~]$

5) List the available resource groups:

Command:

az group list

Output:

(azcli) [vagrant@localhost ~]$ az group list
[
  {
    "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs",
    "location": "ukwest",
    "managedBy": null,
    "name": "rg-dp100-labs",
    "properties": {
      "provisioningState": "Succeeded"
    },
    "tags": null,
    "type": "Microsoft.Resources/resourceGroups"
  }
]
(azcli) [vagrant@localhost ~]$

6) Create Azure ML workspace

az ml workspace create --name "mlw-dp100-labs" -g "rg-dp100-labs"

Actual output:

(azcli) [vagrant@localhost ~]$ az ml workspace create --name "mlw-dp100-labs" -g "rg-dp100-labs"
Class ManagedNetwork: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
The deployment request mlw-dp100-labs-6349534 was accepted. ARM deployment URI for reference:
https://portal.azure.com//#blade/HubsExtension/DeploymentDetailsBlade/overview/id/%2Fsubscriptions%2F67ed360b-95af-4a7f-b398-f459c8118cc1%2FresourceGroups%2Frg-dp100-labs%2Fproviders%2FMicrosoft.Resources%2Fdeployments%2Fmlw-dp100-labs-6349534
Creating Log Analytics Workspace: (mlwdp100logalyti0d1ce113  ) ..  Done (16s)
Creating Application Insights: (mlwdp100insightsef9fc48f  )  Done (18s)
Creating Key Vault: (mlwdp100keyvault9db8214d  )  Done (24s)
Creating Storage Account: (mlwdp100storageb8dadeb6f  )   Done (28s)
Creating AzureML Workspace: (mlw-dp100-labs  ) ..  Done (18s)
Total time : 47s
Class ManagedNetworkSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class ManagedNetworkStatusSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
{
  "application_insights": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.insights/components/mlwdp100insightsef9fc48f",
  "description": "mlw-dp100-labs",
  "discovery_url": "https://ukwest.api.azureml.ms/discovery",
  "display_name": "mlw-dp100-labs",
  "enable_data_isolation": false,
  "hbi_workspace": false,
  "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs",
  "identity": {
    "principal_id": "64a46edf-9d6d-4f59-837a-d7d2eb5079c2",
    "tenant_id": "4e050b03-5c99-495a-8385-689d04c7baed",
    "type": "system_assigned"
  },
  "key_vault": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.Keyvault/vaults/mlwdp100keyvault9db8214d",
  "location": "ukwest",
  "managed_network": {
    "isolation_mode": "disabled",
    "outbound_rules": []
  },
  "mlflow_tracking_uri": "azureml://ukwest.api.azureml.ms/mlflow/v1.0/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs",
  "name": "mlw-dp100-labs",
  "public_network_access": "Enabled",
  "resourceGroup": "rg-dp100-labs",
  "resource_group": "rg-dp100-labs",
  "storage_account": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.Storage/storageAccounts/mlwdp100storageb8dadeb6f",
  "tags": {
    "createdByToolkit": "cli-v2-1.9.0"
  }
}
(azcli) [vagrant@localhost ~]$

7) Verify the azure ml worskspace existance

az ml workspace list

(azcli) [vagrant@localhost ~]$ az ml workspace list
Class ManagedNetworkSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
Class ManagedNetworkStatusSchema: This is an experimental class, and may change at any time. Please see https://aka.ms/azuremlexperimental for more information.
[
  {
    "application_insights": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.insights/components/mlwdp100insightsef9fc48f",
    "description": "mlw-dp100-labs",
    "discovery_url": "https://ukwest.api.azureml.ms/discovery",
    "display_name": "mlw-dp100-labs",
    "enable_data_isolation": false,
    "hbi_workspace": false,
    "id": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs",
    "identity": {
      "principal_id": "64a46edf-9d6d-4f59-837a-d7d2eb5079c2",
      "tenant_id": "4e050b03-5c99-495a-8385-689d04c7baed",
      "type": "system_assigned"
    },
    "key_vault": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.Keyvault/vaults/mlwdp100keyvault9db8214d",
    "location": "ukwest",
    "managed_network": {
      "isolation_mode": "disabled",
      "outbound_rules": []
    },
    "mlflow_tracking_uri": "azureml://ukwest.api.azureml.ms/mlflow/v1.0/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.MachineLearningServices/workspaces/mlw-dp100-labs",
    "name": "mlw-dp100-labs",
    "public_network_access": "Enabled",
    "resourceGroup": "rg-dp100-labs",
    "resource_group": "rg-dp100-labs",
    "storage_account": "/subscriptions/67ed360b-95af-4a7f-b398-f459c8118cc1/resourceGroups/rg-dp100-labs/providers/Microsoft.Storage/storageAccounts/mlwdp100storageb8dadeb6f",
    "tags": {
      "createdByToolkit": "cli-v2-1.9.0"
    }
  }
]
(azcli) [vagrant@localhost ~]$

Setup Azure CLI Machine Learning (ml) extension on local linux machine to manage & automate all azure tasks

Setup Azure CLI Machine Learning (ml) extension

(azcli) [vagrant@localhost ~]$ az extension remove -n azure-cli-ml
The extension azure-cli-ml is not installed. Please install the extension via `az extension add -n azure-cli-ml`.

(azcli) [vagrant@localhost ~]$ az extension remove -n ml
The extension ml is not installed. Please install the extension via `az extension add -n ml`.
(azcli) [vagrant@localhost ~]$

Before extension installation:

(azcli) [vagrant@localhost ~]$ ls -altr ~/.azure/cliextensions
total 4
drwxrwxr-x. 6 vagrant vagrant 4096 Sep  9 14:51 ..
drwxrwxr-x. 2 vagrant vagrant    6 Sep  9 14:53 .
(azcli) [vagrant@localhost ~]$

Adding Azure Extension:

az extension add -n ml -y

(azcli) [vagrant@localhost ~]$ az extension add -n ml -y
(azcli) [vagrant@localhost ~]$

(azcli) [vagrant@localhost ~]$ echo $?
0
(azcli) [vagrant@localhost ~]$

How does it look after extension is added:

ls -altr ~/.azure/cliextensions

(azcli) [vagrant@localhost ~]$ ls -altr ~/.azure/cliextensions
total 12
drwxrwxr-x.  6 vagrant vagrant 4096 Sep  9 14:51 ..
drwxrwxr-x.  3 vagrant vagrant   16 Sep  9 14:58 .
drwxrwxr-x. 98 vagrant vagrant 4096 Sep  9 14:58 ml
(azcli) [vagrant@localhost ~]$ 

(azcli) [vagrant@localhost ~]$ ls -altr ~/.azure/cliextensions/ml|wc -l
105
(azcli) [vagrant@localhost ~]$ 

(azcli) [vagrant@localhost ~]$ ls -altr ~/.azure/cliextensions/ml|more
total 8312
drwxrwxr-x.  2 vagrant vagrant     117 Sep  9 14:58 opencensus_context-0.1.3.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_common-1.1.28.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 websocket
drwxrwxr-x.  2 vagrant vagrant     126 Sep  9 14:58 websocket_client-1.6.2.dist-info
drwxrwxr-x.  6 vagrant vagrant    4096 Sep  9 14:58 urllib3
drwxrwxr-x.  2 vagrant vagrant     106 Sep  9 14:58 urllib3-1.26.16.dist-info
-rw-rw-r--.  1 vagrant vagrant  111082 Sep  9 14:58 typing_extensions.py
drwxrwxr-x.  2 vagrant vagrant      81 Sep  9 14:58 typing_extensions-4.7.1.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 tqdm
drwxrwxr-x.  2 vagrant vagrant     126 Sep  9 14:58 tqdm-4.66.1.dist-info
-rw-rw-r--.  1 vagrant vagrant   34549 Sep  9 14:58 six.py
drwxrwxr-x.  2 vagrant vagrant      74 Sep  9 14:58 __pycache__
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 six-1.16.0.dist-info
drwxrwxr-x.  3 vagrant vagrant     124 Sep  9 14:58 rpds
drwxrwxr-x.  3 vagrant vagrant      87 Sep  9 14:58 rpds_py-0.10.2.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 jwt
drwxrwxr-x.  2 vagrant vagrant     121 Sep  9 14:58 PyJWT-2.8.0.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 pydash
drwxrwxr-x.  2 vagrant vagrant     125 Sep  9 14:58 pydash-5.1.2.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 pycparser
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 pycparser-2.21.dist-info
drwxrwxr-x.  6 vagrant vagrant     115 Sep  9 14:58 pyasn1
drwxrwxr-x.  2 vagrant vagrant     122 Sep  9 14:58 pyasn1-0.5.0.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 psutil
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 psutil-5.9.5.dist-info
drwxrwxr-x.  2 vagrant vagrant      81 Sep  9 14:58 protobuf-4.24.3.dist-info
drwxrwxr-x.  3 vagrant vagrant     175 Sep  9 14:58 portalocker
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 portalocker-2.7.0.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 packaging
drwxrwxr-x.  2 vagrant vagrant     122 Sep  9 14:58 packaging-23.1.dist-info
drwxrwxr-x.  6 vagrant vagrant     144 Sep  9 14:58 oauthlib
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 oauthlib-3.2.2.dist-info
drwxrwxr-x.  3 vagrant vagrant     190 Sep  9 14:58 idna
drwxrwxr-x.  2 vagrant vagrant      84 Sep  9 14:58 idna-3.4.dist-info
drwxrwxr-x.  4 vagrant vagrant     149 Sep  9 14:58 colorama
drwxrwxr-x.  3 vagrant vagrant      82 Sep  9 14:58 colorama-0.4.6.dist-info
drwxrwxr-x.  5 vagrant vagrant    4096 Sep  9 14:58 charset_normalizer
drwxrwxr-x.  2 vagrant vagrant     126 Sep  9 14:58 charset_normalizer-3.2.0.dist-info
drwxrwxr-x.  3 vagrant vagrant     112 Sep  9 14:58 certifi
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 certifi-2023.7.22.dist-info
drwxrwxr-x.  3 vagrant vagrant      74 Sep  9 14:58 cachetools
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 cachetools-5.3.1.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 attr
drwxrwxr-x.  3 vagrant vagrant     179 Sep  9 14:58 attrs
drwxrwxr-x.  3 vagrant vagrant      82 Sep  9 14:58 attrs-23.1.0.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 rsa
drwxrwxr-x.  2 vagrant vagrant     105 Sep  9 14:58 rsa-4.9.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 requests
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 requests-2.31.0.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 referencing
drwxrwxr-x.  3 vagrant vagrant      82 Sep  9 14:58 referencing-0.30.2.dist-info
drwxrwxr-x.  6 vagrant vagrant    4096 Sep  9 14:58 dateutil
drwxrwxr-x.  2 vagrant vagrant     118 Sep  9 14:58 python_dateutil-2.8.2.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 pyasn1_modules
drwxrwxr-x.  2 vagrant vagrant     122 Sep  9 14:58 pyasn1_modules-0.3.0.dist-info
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 marshmallow
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 marshmallow-3.20.1.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 isodate
drwxrwxr-x.  2 vagrant vagrant      87 Sep  9 14:58 isodate-0.6.1.dist-info
-rw-rw-r--.  1 vagrant vagrant    1710 Sep  9 14:58 googleapis_common_protos-1.60.0-py3.9-nspkg.pth
drwxrwxr-x.  2 vagrant vagrant     132 Sep  9 14:58 googleapis_common_protos-1.60.0.dist-info
-rwxrwxr-x.  1 vagrant vagrant 1065976 Sep  9 14:58 _cffi_backend.cpython-311-x86_64-linux-gnu.so
drwxrwxr-x.  3 vagrant vagrant    4096 Sep  9 14:58 cffi
drwxrwxr-x.  2 vagrant vagrant     126 Sep  9 14:58 cffi-1.15.1.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 strictyaml
drwxrwxr-x.  2 vagrant vagrant     106 Sep  9 14:58 strictyaml-1.7.3.dist-info
drwxrwxr-x.  4 vagrant vagrant     162 Sep  9 14:58 requests_oauthlib
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 requests_oauthlib-1.3.1.dist-info
drwxrwxr-x.  5 vagrant vagrant      88 Sep  9 14:58 jsonschema_specifications
drwxrwxr-x.  3 vagrant vagrant      82 Sep  9 14:58 jsonschema_specifications-2023.7.1.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 google_auth-2.22.0.dist-info
drwxrwxr-x. 10 vagrant vagrant    4096 Sep  9 14:58 docker
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 docker-6.1.3.dist-info
drwxrwxr-x.  5 vagrant vagrant     160 Sep  9 14:58 cryptography
drwxrwxr-x.  2 vagrant vagrant     143 Sep  9 14:58 cryptography-41.0.3.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_core-1.29.4.dist-info
drwxrwxr-x.  6 vagrant vagrant    4096 Sep  9 14:58 msrest
drwxrwxr-x.  2 vagrant vagrant     105 Sep  9 14:58 msrest-0.7.1.dist-info
drwxrwxr-x.  5 vagrant vagrant    4096 Sep  9 14:58 jsonschema
drwxrwxr-x.  2 vagrant vagrant     190 Sep  9 14:58 bin
drwxrwxr-x.  3 vagrant vagrant     106 Sep  9 14:58 jsonschema-4.19.0.dist-info
-rw-rw-r--.  1 vagrant vagrant     539 Sep  9 14:58 google_api_core-2.11.1-py3.9-nspkg.pth
drwxrwxr-x. 14 vagrant vagrant     170 Sep  9 14:58 google
drwxrwxr-x.  2 vagrant vagrant     132 Sep  9 14:58 google_api_core-2.11.1.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_storage_file_share-12.13.0.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_storage_blob-12.17.0.dist-info
drwxrwxr-x.  2 vagrant vagrant     120 Sep  9 14:58 azure_mgmt_core-1.4.0.dist-info
drwxrwxr-x.  2 vagrant vagrant     132 Sep  9 14:58 opencensus-0.11.2.dist-info
drwxrwxr-x.  4 vagrant vagrant    4096 Sep  9 14:58 msal
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 msal-1.23.0.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_storage_file_datalake-12.12.0.dist-info
drwxrwxr-x.  2 vagrant vagrant      87 Sep  9 14:58 azure_mgmt_resourcegraph-8.0.0.dist-info
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_mgmt_resource-22.0.0.dist-info
drwxrwxr-x.  3 vagrant vagrant     161 Sep  9 14:58 msal_extensions
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 msal_extensions-1.0.0.dist-info
drwxrwxr-x.  8 vagrant vagrant      91 Sep  9 14:58 azure
drwxrwxr-x.  2 vagrant vagrant     102 Sep  9 14:58 azure_identity-1.14.0.dist-info
drwxrwxr-x. 10 vagrant vagrant     133 Sep  9 14:58 opencensus
drwxrwxr-x.  2 vagrant vagrant     117 Sep  9 14:58 opencensus_ext_azure-1.1.9.dist-info
drwxrwxr-x.  6 vagrant vagrant     149 Sep  9 14:58 azext_mlv2
drwxrwxr-x.  2 vagrant vagrant     171 Sep  9 14:58 ml-2.19.1.dist-info
drwxrwxr-x.  3 vagrant vagrant      16 Sep  9 14:58 ..
drwxrwxr-x. 98 vagrant vagrant    4096 Sep  9 14:58 .
-rw-rw-r--.  1 vagrant vagrant 7175844 Sep  9 14:58 ml-2.19.1-py3-none-any.whl
(azcli) [vagrant@localhost ~]$

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