Generated from 47437444923d91c6ca1aa836f59287c5ac6edf89

privateLinkUsage -> provisionPublicIp
AzureSDKAutomation · May 1, 2020 · 249562c · 249562c
1 parent 7d7faef
commit 249562c
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Showing 26 changed files with 80 additions and 54 deletions.
diff --git a/...ces/azext_machinelearningservices/vendored_sdks/machinelearningservices/_configuration.py b/...ces/azext_machinelearningservices/vendored_sdks/machinelearningservices/_configuration.py
@@ -47,7 +47,7 @@ def __init__(
 
         self.credential = credential
         self.subscription_id = subscription_id
-        self.api_version = "2020-03-01"
+        self.api_version = "2020-05-01"
         self.credential_scopes = ['https://management.azure.com/.default']
         kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION))
         self._configure(**kwargs)

diff --git a/...machinelearningservices/vendored_sdks/machinelearningservices/aio/_configuration_async.py b/...machinelearningservices/vendored_sdks/machinelearningservices/aio/_configuration_async.py
@@ -44,7 +44,7 @@ def __init__(
 
         self.credential = credential
         self.subscription_id = subscription_id
-        self.api_version = "2020-03-01"
+        self.api_version = "2020-05-01"
         self.credential_scopes = ['https://management.azure.com/.default']
         kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION))
         self._configure(**kwargs)

diff --git a/...rningservices/aio/operations_async/_azure_machine_learning_workspaces_operations_async.py b/...rningservices/aio/operations_async/_azure_machine_learning_workspaces_operations_async.py
@@ -34,7 +34,7 @@ def list_sku(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.SkuListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:

diff --git a/...achinelearningservices/aio/operations_async/_machine_learning_compute_operations_async.py b/...achinelearningservices/aio/operations_async/_machine_learning_compute_operations_async.py
@@ -65,7 +65,7 @@ def list_by_workspace(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.PaginatedComputeResourcesList"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:
@@ -141,7 +141,7 @@ async def get(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.ComputeResource"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.get.metadata['url']
@@ -195,7 +195,7 @@ async def _create_or_update_initial(
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
 
         _parameters = models.ComputeResource(identity=identity, location=location, tags=tags, sku=sku, properties=properties)
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
         content_type = kwargs.pop("content_type", "application/json")
 
         # Construct URL
@@ -332,7 +332,7 @@ async def _update_initial(
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
 
         _parameters = models.ClusterUpdateParameters(scale_settings=scale_settings)
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
         content_type = kwargs.pop("content_type", "application/json")
 
         # Construct URL
@@ -441,7 +441,7 @@ async def _delete_initial(
     ) -> None:
         cls = kwargs.pop('cls', None)  # type: ClsType[None]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self._delete_initial.metadata['url']
@@ -556,7 +556,7 @@ async def list_node(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.AmlComputeNodesInformation"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.list_node.metadata['url']
@@ -616,7 +616,7 @@ async def list_key(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.ComputeSecrets"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.list_key.metadata['url']

diff --git a/...vendored_sdks/machinelearningservices/aio/operations_async/_operation_operations_async.py b/...vendored_sdks/machinelearningservices/aio/operations_async/_operation_operations_async.py
@@ -54,7 +54,7 @@ def list(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.OperationListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:

diff --git a/...inelearningservices/aio/operations_async/_private_endpoint_connection_operations_async.py b/...inelearningservices/aio/operations_async/_private_endpoint_connection_operations_async.py
@@ -63,7 +63,7 @@ async def get(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.PrivateEndpointConnection"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.get.metadata['url']
@@ -145,7 +145,7 @@ async def put(
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
 
         _properties = models.PrivateEndpointConnection(identity=identity, location=location, tags=tags, sku=sku, private_endpoint=private_endpoint, private_link_service_connection_state=private_link_service_connection_state)
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
         content_type = kwargs.pop("content_type", "application/json")
 
         # Construct URL
@@ -212,7 +212,7 @@ async def delete(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType[None]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.delete.metadata['url']

diff --git a/...s/machinelearningservices/aio/operations_async/_private_link_resource_operations_async.py b/...s/machinelearningservices/aio/operations_async/_private_link_resource_operations_async.py
@@ -59,7 +59,7 @@ async def list_by_workspace(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.PrivateLinkResourceListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.list_by_workspace.metadata['url']

diff --git a/...ces/vendored_sdks/machinelearningservices/aio/operations_async/_quota_operations_async.py b/...ces/vendored_sdks/machinelearningservices/aio/operations_async/_quota_operations_async.py
@@ -62,7 +62,7 @@ async def update(
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
 
         _parameters = models.QuotaUpdateParameters(value=value)
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
         content_type = kwargs.pop("content_type", "application/json")
 
         # Construct URL
@@ -120,7 +120,7 @@ def list(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.ListWorkspaceQuotas"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:

diff --git a/...ces/vendored_sdks/machinelearningservices/aio/operations_async/_usage_operations_async.py b/...ces/vendored_sdks/machinelearningservices/aio/operations_async/_usage_operations_async.py
@@ -57,7 +57,7 @@ def list(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.ListUsagesResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:

diff --git a/...ks/machinelearningservices/aio/operations_async/_virtual_machine_size_operations_async.py b/...ks/machinelearningservices/aio/operations_async/_virtual_machine_size_operations_async.py
@@ -56,7 +56,7 @@ async def list(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.VirtualMachineSizeListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.list.metadata['url']

diff --git a/..._sdks/machinelearningservices/aio/operations_async/_workspace_feature_operations_async.py b/..._sdks/machinelearningservices/aio/operations_async/_workspace_feature_operations_async.py
@@ -60,7 +60,7 @@ def list(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.ListAmlUserFeatureResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:

diff --git a/...vendored_sdks/machinelearningservices/aio/operations_async/_workspace_operations_async.py b/...vendored_sdks/machinelearningservices/aio/operations_async/_workspace_operations_async.py
@@ -62,7 +62,7 @@ async def get(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.Workspace"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.get.metadata['url']
@@ -126,7 +126,7 @@ async def _create_or_update_initial(
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
 
         _parameters = models.Workspace(identity=identity, location=location, tags=tags, sku=sku, description=description, friendly_name=friendly_name, key_vault=key_vault, application_insights=application_insights, container_registry=container_registry, storage_account=storage_account, discovery_url=discovery_url, hbi_workspace=hbi_workspace, image_build_compute=image_build_compute, allow_public_access_when_behind_vnet=allow_public_access_when_behind_vnet, shared_private_link_resources=shared_private_link_resources, status=status, key_vault_properties=key_vault_properties)
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
         content_type = kwargs.pop("content_type", "application/json")
 
         # Construct URL
@@ -316,7 +316,7 @@ async def delete(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType[None]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.delete.metadata['url']
@@ -382,7 +382,7 @@ async def update(
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
 
         _parameters = models.WorkspaceUpdateParameters(tags=tags, sku=sku, description=description, friendly_name=friendly_name)
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
         content_type = kwargs.pop("content_type", "application/json")
 
         # Construct URL
@@ -444,7 +444,7 @@ def list_by_resource_group(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.WorkspaceListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:
@@ -516,7 +516,7 @@ async def list_key(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.ListWorkspaceKeysResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.list_key.metadata['url']
@@ -572,7 +572,7 @@ async def resync_key(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType[None]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         # Construct URL
         url = self.resync_key.metadata['url']
@@ -621,7 +621,7 @@ def list_by_subscription(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.WorkspaceListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link:

diff --git a/...es/azext_machinelearningservices/vendored_sdks/machinelearningservices/models/__init__.py b/...es/azext_machinelearningservices/vendored_sdks/machinelearningservices/models/__init__.py
@@ -162,6 +162,7 @@
     NodeState,
     PrivateEndpointConnectionProvisioningState,
     PrivateEndpointServiceConnectionStatus,
+    ProvisionPublicIp,
     ProvisioningState,
     ReasonCode,
     RemoteLoginPortPublicAccess,
@@ -251,6 +252,7 @@
     'NodeState',
     'PrivateEndpointConnectionProvisioningState',
     'PrivateEndpointServiceConnectionStatus',
+    'ProvisionPublicIp',
     'ProvisioningState',
     'ReasonCode',
     'RemoteLoginPortPublicAccess',

diff --git a/.../vendored_sdks/machinelearningservices/models/_azure_machine_learning_workspaces_enums.py b/.../vendored_sdks/machinelearningservices/models/_azure_machine_learning_workspaces_enums.py
@@ -82,6 +82,15 @@ class ProvisioningState(str, Enum):
     failed = "Failed"
     canceled = "Canceled"
 
+class ProvisionPublicIp(str, Enum):
+    """State of public IP provisioning. Possible values are: Enabled - Indicates that the compute
+    nodes will have public IPs provisioned. Disabled - Indicates that the compute nodes will have a
+    private endpoint and no public IPs.
+    """
+
+    enabled = "Enabled"
+    disabled = "Disabled"
+
 class ReasonCode(str, Enum):
     """The reason for the restriction.
     """

diff --git a/...ces/azext_machinelearningservices/vendored_sdks/machinelearningservices/models/_models.py b/...ces/azext_machinelearningservices/vendored_sdks/machinelearningservices/models/_models.py
@@ -542,6 +542,11 @@ class AmlComputeProperties(msrest.serialization.Model):
      "NotSpecified". Default value: "NotSpecified".
     :type remote_login_port_public_access: str or
      ~azure.mgmt.machinelearningservices.models.RemoteLoginPortPublicAccess
+    :param provision_public_ip: State of public IP provisioning. Possible values are: Enabled -
+     Indicates that the compute nodes will have public IPs provisioned. Disabled - Indicates that
+     the compute nodes will have a private endpoint and no public IPs. Possible values include:
+     "Enabled", "Disabled". Default value: "Enabled".
+    :type provision_public_ip: str or ~azure.mgmt.machinelearningservices.models.ProvisionPublicIp
     :ivar allocation_state: Allocation state of the compute. Possible values are: steady -
      Indicates that the compute is not resizing. There are no changes to the number of compute nodes
      in the compute in progress. A compute enters this state when it is created and when no
@@ -581,6 +586,7 @@ class AmlComputeProperties(msrest.serialization.Model):
         'user_account_credentials': {'key': 'userAccountCredentials', 'type': 'UserAccountCredentials'},
         'subnet': {'key': 'subnet', 'type': 'ResourceId'},
         'remote_login_port_public_access': {'key': 'remoteLoginPortPublicAccess', 'type': 'str'},
+        'provision_public_ip': {'key': 'provisionPublicIp', 'type': 'str'},
         'allocation_state': {'key': 'allocationState', 'type': 'str'},
         'allocation_state_transition_time': {'key': 'allocationStateTransitionTime', 'type': 'iso-8601'},
         'errors': {'key': 'errors', 'type': '[MachineLearningServiceError]'},
@@ -600,6 +606,7 @@ def __init__(
         self.user_account_credentials = kwargs.get('user_account_credentials', None)
         self.subnet = kwargs.get('subnet', None)
         self.remote_login_port_public_access = kwargs.get('remote_login_port_public_access', "NotSpecified")
+        self.provision_public_ip = kwargs.get('provision_public_ip', "Enabled")
         self.allocation_state = None
         self.allocation_state_transition_time = None
         self.errors = None

diff --git a/...azext_machinelearningservices/vendored_sdks/machinelearningservices/models/_models_py3.py b/...azext_machinelearningservices/vendored_sdks/machinelearningservices/models/_models_py3.py
@@ -574,6 +574,11 @@ class AmlComputeProperties(msrest.serialization.Model):
      "NotSpecified". Default value: "NotSpecified".
     :type remote_login_port_public_access: str or
      ~azure.mgmt.machinelearningservices.models.RemoteLoginPortPublicAccess
+    :param provision_public_ip: State of public IP provisioning. Possible values are: Enabled -
+     Indicates that the compute nodes will have public IPs provisioned. Disabled - Indicates that
+     the compute nodes will have a private endpoint and no public IPs. Possible values include:
+     "Enabled", "Disabled". Default value: "Enabled".
+    :type provision_public_ip: str or ~azure.mgmt.machinelearningservices.models.ProvisionPublicIp
     :ivar allocation_state: Allocation state of the compute. Possible values are: steady -
      Indicates that the compute is not resizing. There are no changes to the number of compute nodes
      in the compute in progress. A compute enters this state when it is created and when no
@@ -613,6 +618,7 @@ class AmlComputeProperties(msrest.serialization.Model):
         'user_account_credentials': {'key': 'userAccountCredentials', 'type': 'UserAccountCredentials'},
         'subnet': {'key': 'subnet', 'type': 'ResourceId'},
         'remote_login_port_public_access': {'key': 'remoteLoginPortPublicAccess', 'type': 'str'},
+        'provision_public_ip': {'key': 'provisionPublicIp', 'type': 'str'},
         'allocation_state': {'key': 'allocationState', 'type': 'str'},
         'allocation_state_transition_time': {'key': 'allocationStateTransitionTime', 'type': 'iso-8601'},
         'errors': {'key': 'errors', 'type': '[MachineLearningServiceError]'},
@@ -630,6 +636,7 @@ def __init__(
         user_account_credentials: Optional["UserAccountCredentials"] = None,
         subnet: Optional["ResourceId"] = None,
         remote_login_port_public_access: Optional[Union[str, "RemoteLoginPortPublicAccess"]] = "NotSpecified",
+        provision_public_ip: Optional[Union[str, "ProvisionPublicIp"]] = "Enabled",
         **kwargs
     ):
         super(AmlComputeProperties, self).__init__(**kwargs)
@@ -639,6 +646,7 @@ def __init__(
         self.user_account_credentials = user_account_credentials
         self.subnet = subnet
         self.remote_login_port_public_access = remote_login_port_public_access
+        self.provision_public_ip = provision_public_ip
         self.allocation_state = None
         self.allocation_state_transition_time = None
         self.errors = None

diff --git a/..._sdks/machinelearningservices/operations/_azure_machine_learning_workspaces_operations.py b/..._sdks/machinelearningservices/operations/_azure_machine_learning_workspaces_operations.py
@@ -39,7 +39,7 @@ def list_sku(
         """
         cls = kwargs.pop('cls', None)  # type: ClsType["models.SkuListResult"]
         error_map = kwargs.pop('error_map', {404: ResourceNotFoundError, 409: ResourceExistsError})
-        api_version = "2020-03-01"
+        api_version = "2020-05-01"
 
         def prepare_request(next_link=None):
             if not next_link: