# Source code for azure.batch.models._models_py3

    # coding=utf-8
    # --------------------------------------------------------------------------
    # Copyright (c) Microsoft Corporation. All rights reserved.
    # Licensed under the MIT License. See License.txt in the project root for
    # license information.
    #
    # Code generated by Microsoft (R) AutoRest Code Generator.
    # Changes may cause incorrect behavior and will be lost if the code is
    # regenerated.
    # --------------------------------------------------------------------------

    from msrest.serialization import Model
    from msrest.exceptions import HttpOperationError

    class AccountListPoolNodeCountsOptions(Model):
        """Additional parameters for list_pool_node_counts operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch.
        :type filter: str
        :param max_results: The maximum number of items to return in the response.
         Default value: 10 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, max_results: int=10, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(AccountListPoolNodeCountsOptions, self).__init__(**kwargs)
            self.filter = filter
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class AccountListSupportedImagesOptions(Model):
        """Additional parameters for list_supported_images operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-support-images.
        :type filter: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 results will be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(AccountListSupportedImagesOptions, self).__init__(**kwargs)
            self.filter = filter
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class AffinityInformation(Model):
        """A locality hint that can be used by the Batch service to select a Compute
        Node on which to start a Task.

        All required parameters must be populated in order to send to Azure.

        :param affinity_id: Required. An opaque string representing the location
         of a Compute Node or a Task that has run previously. You can pass the
         affinityId of a Node to indicate that this Task needs to run on that
         Compute Node. Note that this is just a soft affinity. If the target
         Compute Node is busy or unavailable at the time the Task is scheduled,
         then the Task will be scheduled elsewhere.
        :type affinity_id: str
        """

        _validation = {
            'affinity_id': {'required': True},
        }

        _attribute_map = {
            'affinity_id': {'key': 'affinityId', 'type': 'str'},
        }

        def __init__(self, *, affinity_id: str, **kwargs) -> None:
            super(AffinityInformation, self).__init__(**kwargs)
            self.affinity_id = affinity_id

    class ApplicationGetOptions(Model):
        """Additional parameters for get operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ApplicationGetOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ApplicationListOptions(Model):
        """Additional parameters for list operation.

        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 applications can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ApplicationListOptions, self).__init__(**kwargs)
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ApplicationPackageReference(Model):
        """A reference to an Package to be deployed to Compute Nodes.

        All required parameters must be populated in order to send to Azure.

        :param application_id: Required. The ID of the application to deploy.
        :type application_id: str
        :param version: The version of the application to deploy. If omitted, the
         default version is deployed. If this is omitted on a Pool, and no default
         version is specified for this application, the request fails with the
         error code InvalidApplicationPackageReferences and HTTP status code 409.
         If this is omitted on a Task, and no default version is specified for this
         application, the Task fails with a pre-processing error.
        :type version: str
        """

        _validation = {
            'application_id': {'required': True},
        }

        _attribute_map = {
            'application_id': {'key': 'applicationId', 'type': 'str'},
            'version': {'key': 'version', 'type': 'str'},
        }

        def __init__(self, *, application_id: str, version: str=None, **kwargs) -> None:
            super(ApplicationPackageReference, self).__init__(**kwargs)
            self.application_id = application_id
            self.version = version

    class ApplicationSummary(Model):
        """Contains information about an application in an Azure Batch Account.

        All required parameters must be populated in order to send to Azure.

        :param id: Required. A string that uniquely identifies the application
         within the Account.
        :type id: str
        :param display_name: Required. The display name for the application.
        :type display_name: str
        :param versions: Required. The list of available versions of the
         application.
        :type versions: list[str]
        """

        _validation = {
            'id': {'required': True},
            'display_name': {'required': True},
            'versions': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'versions': {'key': 'versions', 'type': '[str]'},
        }

        def __init__(self, *, id: str, display_name: str, versions, **kwargs) -> None:
            super(ApplicationSummary, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.versions = versions

    class AuthenticationTokenSettings(Model):
        """The settings for an authentication token that the Task can use to perform
        Batch service operations.

        :param access: The Batch resources to which the token grants access. The
         authentication token grants access to a limited set of Batch service
         operations. Currently the only supported value for the access property is
         'job', which grants access to all operations related to the Job which
         contains the Task.
        :type access: list[str or ~azure.batch.models.AccessScope]
        """

        _attribute_map = {
            'access': {'key': 'access', 'type': '[AccessScope]'},
        }

        def __init__(self, *, access=None, **kwargs) -> None:
            super(AuthenticationTokenSettings, self).__init__(**kwargs)
            self.access = access

    class AutoPoolSpecification(Model):
        """Specifies characteristics for a temporary 'auto pool'. The Batch service
        will create this auto Pool when the Job is submitted.

        All required parameters must be populated in order to send to Azure.

        :param auto_pool_id_prefix: A prefix to be added to the unique identifier
         when a Pool is automatically created. The Batch service assigns each auto
         Pool a unique identifier on creation. To distinguish between Pools created
         for different purposes, you can specify this element to add a prefix to
         the ID that is assigned. The prefix can be up to 20 characters long.
        :type auto_pool_id_prefix: str
        :param pool_lifetime_option: Required. The minimum lifetime of created
         auto Pools, and how multiple Jobs on a schedule are assigned to Pools.
         Possible values include: 'jobSchedule', 'job'
        :type pool_lifetime_option: str or ~azure.batch.models.PoolLifetimeOption
        :param keep_alive: Whether to keep an auto Pool alive after its lifetime
         expires. If false, the Batch service deletes the Pool once its lifetime
         (as determined by the poolLifetimeOption setting) expires; that is, when
         the Job or Job Schedule completes. If true, the Batch service does not
         delete the Pool automatically. It is up to the user to delete auto Pools
         created with this option.
        :type keep_alive: bool
        :param pool: The Pool specification for the auto Pool.
        :type pool: ~azure.batch.models.PoolSpecification
        """

        _validation = {
            'pool_lifetime_option': {'required': True},
        }

        _attribute_map = {
            'auto_pool_id_prefix': {'key': 'autoPoolIdPrefix', 'type': 'str'},
            'pool_lifetime_option': {'key': 'poolLifetimeOption', 'type': 'PoolLifetimeOption'},
            'keep_alive': {'key': 'keepAlive', 'type': 'bool'},
            'pool': {'key': 'pool', 'type': 'PoolSpecification'},
        }

        def __init__(self, *, pool_lifetime_option, auto_pool_id_prefix: str=None, keep_alive: bool=None, pool=None, **kwargs) -> None:
            super(AutoPoolSpecification, self).__init__(**kwargs)
            self.auto_pool_id_prefix = auto_pool_id_prefix
            self.pool_lifetime_option = pool_lifetime_option
            self.keep_alive = keep_alive
            self.pool = pool

    class AutoScaleRun(Model):
        """The results and errors from an execution of a Pool autoscale formula.

        All required parameters must be populated in order to send to Azure.

        :param timestamp: Required. The time at which the autoscale formula was
         last evaluated.
        :type timestamp: datetime
        :param results: The final values of all variables used in the evaluation
         of the autoscale formula. Each variable value is returned in the form
         $variable=value, and variables are separated by semicolons.
        :type results: str
        :param error: Details of the error encountered evaluating the autoscale
         formula on the Pool, if the evaluation was unsuccessful.
        :type error: ~azure.batch.models.AutoScaleRunError
        """

        _validation = {
            'timestamp': {'required': True},
        }

        _attribute_map = {
            'timestamp': {'key': 'timestamp', 'type': 'iso-8601'},
            'results': {'key': 'results', 'type': 'str'},
            'error': {'key': 'error', 'type': 'AutoScaleRunError'},
        }

        def __init__(self, *, timestamp, results: str=None, error=None, **kwargs) -> None:
            super(AutoScaleRun, self).__init__(**kwargs)
            self.timestamp = timestamp
            self.results = results
            self.error = error

    class AutoScaleRunError(Model):
        """An error that occurred when executing or evaluating a Pool autoscale
        formula.

        :param code: An identifier for the autoscale error. Codes are invariant
         and are intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the autoscale error, intended to be
         suitable for display in a user interface.
        :type message: str
        :param values: A list of additional error details related to the autoscale
         error.
        :type values: list[~azure.batch.models.NameValuePair]
        """

        _attribute_map = {
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'str'},
            'values': {'key': 'values', 'type': '[NameValuePair]'},
        }

        def __init__(self, *, code: str=None, message: str=None, values=None, **kwargs) -> None:
            super(AutoScaleRunError, self).__init__(**kwargs)
            self.code = code
            self.message = message
            self.values = values

    class AutoUserSpecification(Model):
        """Specifies the parameters for the auto user that runs a Task on the Batch
        service.

        :param scope: The scope for the auto user. The default value is pool. If
         the pool is running Windows a value of Task should be specified if
         stricter isolation between tasks is required. For example, if the task
         mutates the registry in a way which could impact other tasks, or if
         certificates have been specified on the pool which should not be
         accessible by normal tasks but should be accessible by StartTasks.
         Possible values include: 'task', 'pool'
        :type scope: str or ~azure.batch.models.AutoUserScope
        :param elevation_level: The elevation level of the auto user. The default
         value is nonAdmin. Possible values include: 'nonAdmin', 'admin'
        :type elevation_level: str or ~azure.batch.models.ElevationLevel
        """

        _attribute_map = {
            'scope': {'key': 'scope', 'type': 'AutoUserScope'},
            'elevation_level': {'key': 'elevationLevel', 'type': 'ElevationLevel'},
        }

        def __init__(self, *, scope=None, elevation_level=None, **kwargs) -> None:
            super(AutoUserSpecification, self).__init__(**kwargs)
            self.scope = scope
            self.elevation_level = elevation_level

    class AzureBlobFileSystemConfiguration(Model):
        """Information used to connect to an Azure Storage Container using Blobfuse.

        All required parameters must be populated in order to send to Azure.

        :param account_name: Required. The Azure Storage Account name.
        :type account_name: str
        :param container_name: Required. The Azure Blob Storage Container name.
        :type container_name: str
        :param account_key: The Azure Storage Account key. This property is
         mutually exclusive with sasKey and one must be specified.
        :type account_key: str
        :param sas_key: The Azure Storage SAS token. This property is mutually
         exclusive with accountKey and one must be specified.
        :type sas_key: str
        :param blobfuse_options: Additional command line options to pass to the
         mount command. These are 'net use' options in Windows and 'mount' options
         in Linux.
        :type blobfuse_options: str
        :param relative_mount_path: Required. The relative path on the compute
         node where the file system will be mounted. All file systems are mounted
         relative to the Batch mounts directory, accessible via the
         AZ_BATCH_NODE_MOUNTS_DIR environment variable.
        :type relative_mount_path: str
        """

        _validation = {
            'account_name': {'required': True},
            'container_name': {'required': True},
            'relative_mount_path': {'required': True},
        }

        _attribute_map = {
            'account_name': {'key': 'accountName', 'type': 'str'},
            'container_name': {'key': 'containerName', 'type': 'str'},
            'account_key': {'key': 'accountKey', 'type': 'str'},
            'sas_key': {'key': 'sasKey', 'type': 'str'},
            'blobfuse_options': {'key': 'blobfuseOptions', 'type': 'str'},
            'relative_mount_path': {'key': 'relativeMountPath', 'type': 'str'},
        }

        def __init__(self, *, account_name: str, container_name: str, relative_mount_path: str, account_key: str=None, sas_key: str=None, blobfuse_options: str=None, **kwargs) -> None:
            super(AzureBlobFileSystemConfiguration, self).__init__(**kwargs)
            self.account_name = account_name
            self.container_name = container_name
            self.account_key = account_key
            self.sas_key = sas_key
            self.blobfuse_options = blobfuse_options
            self.relative_mount_path = relative_mount_path

    class AzureFileShareConfiguration(Model):
        """Information used to connect to an Azure Fileshare.

        All required parameters must be populated in order to send to Azure.

        :param account_name: Required. The Azure Storage account name.
        :type account_name: str
        :param azure_file_url: Required. The Azure Files URL. This is of the form
         'https://{account}.file.core.windows.net/'.
        :type azure_file_url: str
        :param account_key: Required. The Azure Storage account key.
        :type account_key: str
        :param relative_mount_path: Required. The relative path on the compute
         node where the file system will be mounted. All file systems are mounted
         relative to the Batch mounts directory, accessible via the
         AZ_BATCH_NODE_MOUNTS_DIR environment variable.
        :type relative_mount_path: str
        :param mount_options: Additional command line options to pass to the mount
         command. These are 'net use' options in Windows and 'mount' options in
         Linux.
        :type mount_options: str
        """

        _validation = {
            'account_name': {'required': True},
            'azure_file_url': {'required': True},
            'account_key': {'required': True},
            'relative_mount_path': {'required': True},
        }

        _attribute_map = {
            'account_name': {'key': 'accountName', 'type': 'str'},
            'azure_file_url': {'key': 'azureFileUrl', 'type': 'str'},
            'account_key': {'key': 'accountKey', 'type': 'str'},
            'relative_mount_path': {'key': 'relativeMountPath', 'type': 'str'},
            'mount_options': {'key': 'mountOptions', 'type': 'str'},
        }

        def __init__(self, *, account_name: str, azure_file_url: str, account_key: str, relative_mount_path: str, mount_options: str=None, **kwargs) -> None:
            super(AzureFileShareConfiguration, self).__init__(**kwargs)
            self.account_name = account_name
            self.azure_file_url = azure_file_url
            self.account_key = account_key
            self.relative_mount_path = relative_mount_path
            self.mount_options = mount_options

    class BatchError(Model):
        """An error response received from the Azure Batch service.

        :param code: An identifier for the error. Codes are invariant and are
         intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the error, intended to be suitable
         for display in a user interface.
        :type message: ~azure.batch.models.ErrorMessage
        :param values: A collection of key-value pairs containing additional
         details about the error.
        :type values: list[~azure.batch.models.BatchErrorDetail]
        """

        _attribute_map = {
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'ErrorMessage'},
            'values': {'key': 'values', 'type': '[BatchErrorDetail]'},
        }

        def __init__(self, *, code: str=None, message=None, values=None, **kwargs) -> None:
            super(BatchError, self).__init__(**kwargs)
            self.code = code
            self.message = message
            self.values = values

    class BatchErrorException(HttpOperationError):
        """Server responsed with exception of type: 'BatchError'.

        :param deserialize: A deserializer
        :param response: Server response to be deserialized.
        """

        def __init__(self, deserialize, response, *args):

            super(BatchErrorException, self).__init__(deserialize, response, 'BatchError', *args)

    class BatchErrorDetail(Model):
        """An item of additional information included in an Azure Batch error
        response.

        :param key: An identifier specifying the meaning of the Value property.
        :type key: str
        :param value: The additional information included with the error response.
        :type value: str
        """

        _attribute_map = {
            'key': {'key': 'key', 'type': 'str'},
            'value': {'key': 'value', 'type': 'str'},
        }

        def __init__(self, *, key: str=None, value: str=None, **kwargs) -> None:
            super(BatchErrorDetail, self).__init__(**kwargs)
            self.key = key
            self.value = value

    class Certificate(Model):
        """A Certificate that can be installed on Compute Nodes and can be used to
        authenticate operations on the machine.

        :param thumbprint: The X.509 thumbprint of the Certificate. This is a
         sequence of up to 40 hex digits.
        :type thumbprint: str
        :param thumbprint_algorithm: The algorithm used to derive the thumbprint.
        :type thumbprint_algorithm: str
        :param url: The URL of the Certificate.
        :type url: str
        :param state: The current state of the Certificate. Possible values
         include: 'active', 'deleting', 'deleteFailed'
        :type state: str or ~azure.batch.models.CertificateState
        :param state_transition_time: The time at which the Certificate entered
         its current state.
        :type state_transition_time: datetime
        :param previous_state: The previous state of the Certificate. This
         property is not set if the Certificate is in its initial active state.
         Possible values include: 'active', 'deleting', 'deleteFailed'
        :type previous_state: str or ~azure.batch.models.CertificateState
        :param previous_state_transition_time: The time at which the Certificate
         entered its previous state. This property is not set if the Certificate is
         in its initial Active state.
        :type previous_state_transition_time: datetime
        :param public_data: The public part of the Certificate as a base-64
         encoded .cer file.
        :type public_data: str
        :param delete_certificate_error: The error that occurred on the last
         attempt to delete this Certificate. This property is set only if the
         Certificate is in the DeleteFailed state.
        :type delete_certificate_error: ~azure.batch.models.DeleteCertificateError
        """

        _attribute_map = {
            'thumbprint': {'key': 'thumbprint', 'type': 'str'},
            'thumbprint_algorithm': {'key': 'thumbprintAlgorithm', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
            'state': {'key': 'state', 'type': 'CertificateState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'previous_state': {'key': 'previousState', 'type': 'CertificateState'},
            'previous_state_transition_time': {'key': 'previousStateTransitionTime', 'type': 'iso-8601'},
            'public_data': {'key': 'publicData', 'type': 'str'},
            'delete_certificate_error': {'key': 'deleteCertificateError', 'type': 'DeleteCertificateError'},
        }

        def __init__(self, *, thumbprint: str=None, thumbprint_algorithm: str=None, url: str=None, state=None, state_transition_time=None, previous_state=None, previous_state_transition_time=None, public_data: str=None, delete_certificate_error=None, **kwargs) -> None:
            super(Certificate, self).__init__(**kwargs)
            self.thumbprint = thumbprint
            self.thumbprint_algorithm = thumbprint_algorithm
            self.url = url
            self.state = state
            self.state_transition_time = state_transition_time
            self.previous_state = previous_state
            self.previous_state_transition_time = previous_state_transition_time
            self.public_data = public_data
            self.delete_certificate_error = delete_certificate_error

    class CertificateAddOptions(Model):
        """Additional parameters for add operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(CertificateAddOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class CertificateAddParameter(Model):
        """A Certificate that can be installed on Compute Nodes and can be used to
        authenticate operations on the machine.

        All required parameters must be populated in order to send to Azure.

        :param thumbprint: Required. The X.509 thumbprint of the Certificate. This
         is a sequence of up to 40 hex digits (it may include spaces but these are
         removed).
        :type thumbprint: str
        :param thumbprint_algorithm: Required. The algorithm used to derive the
         thumbprint. This must be sha1.
        :type thumbprint_algorithm: str
        :param data: Required. The base64-encoded contents of the Certificate. The
         maximum size is 10KB.
        :type data: str
        :param certificate_format: The format of the Certificate data. Possible
         values include: 'pfx', 'cer'
        :type certificate_format: str or ~azure.batch.models.CertificateFormat
        :param password: The password to access the Certificate's private key.
         This is required if the Certificate format is pfx. It should be omitted if
         the Certificate format is cer.
        :type password: str
        """

        _validation = {
            'thumbprint': {'required': True},
            'thumbprint_algorithm': {'required': True},
            'data': {'required': True},
        }

        _attribute_map = {
            'thumbprint': {'key': 'thumbprint', 'type': 'str'},
            'thumbprint_algorithm': {'key': 'thumbprintAlgorithm', 'type': 'str'},
            'data': {'key': 'data', 'type': 'str'},
            'certificate_format': {'key': 'certificateFormat', 'type': 'CertificateFormat'},
            'password': {'key': 'password', 'type': 'str'},
        }

        def __init__(self, *, thumbprint: str, thumbprint_algorithm: str, data: str, certificate_format=None, password: str=None, **kwargs) -> None:
            super(CertificateAddParameter, self).__init__(**kwargs)
            self.thumbprint = thumbprint
            self.thumbprint_algorithm = thumbprint_algorithm
            self.data = data
            self.certificate_format = certificate_format
            self.password = password

    class CertificateCancelDeletionOptions(Model):
        """Additional parameters for cancel_deletion operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(CertificateCancelDeletionOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class CertificateDeleteOptions(Model):
        """Additional parameters for delete operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(CertificateDeleteOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class CertificateGetOptions(Model):
        """Additional parameters for get operation.

        :param select: An OData $select clause.
        :type select: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(CertificateGetOptions, self).__init__(**kwargs)
            self.select = select
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class CertificateListOptions(Model):
        """Additional parameters for list operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-certificates.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Certificates can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(CertificateListOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class CertificateReference(Model):
        """A reference to a Certificate to be installed on Compute Nodes in a Pool.

        All required parameters must be populated in order to send to Azure.

        :param thumbprint: Required. The thumbprint of the Certificate.
        :type thumbprint: str
        :param thumbprint_algorithm: Required. The algorithm with which the
         thumbprint is associated. This must be sha1.
        :type thumbprint_algorithm: str
        :param store_location: The location of the Certificate store on the
         Compute Node into which to install the Certificate. The default value is
         currentuser. This property is applicable only for Pools configured with
         Windows Compute Nodes (that is, created with cloudServiceConfiguration, or
         with virtualMachineConfiguration using a Windows Image reference). For
         Linux Compute Nodes, the Certificates are stored in a directory inside the
         Task working directory and an environment variable
         AZ_BATCH_CERTIFICATES_DIR is supplied to the Task to query for this
         location. For Certificates with visibility of 'remoteUser', a 'certs'
         directory is created in the user's home directory (e.g.,
         /home/{user-name}/certs) and Certificates are placed in that directory.
         Possible values include: 'currentUser', 'localMachine'
        :type store_location: str or ~azure.batch.models.CertificateStoreLocation
        :param store_name: The name of the Certificate store on the Compute Node
         into which to install the Certificate. This property is applicable only
         for Pools configured with Windows Compute Nodes (that is, created with
         cloudServiceConfiguration, or with virtualMachineConfiguration using a
         Windows Image reference). Common store names include: My, Root, CA, Trust,
         Disallowed, TrustedPeople, TrustedPublisher, AuthRoot, AddressBook, but
         any custom store name can also be used. The default value is My.
        :type store_name: str
        :param visibility: Which user Accounts on the Compute Node should have
         access to the private data of the Certificate. You can specify more than
         one visibility in this collection. The default is all Accounts.
        :type visibility: list[str or ~azure.batch.models.CertificateVisibility]
        """

        _validation = {
            'thumbprint': {'required': True},
            'thumbprint_algorithm': {'required': True},
        }

        _attribute_map = {
            'thumbprint': {'key': 'thumbprint', 'type': 'str'},
            'thumbprint_algorithm': {'key': 'thumbprintAlgorithm', 'type': 'str'},
            'store_location': {'key': 'storeLocation', 'type': 'CertificateStoreLocation'},
            'store_name': {'key': 'storeName', 'type': 'str'},
            'visibility': {'key': 'visibility', 'type': '[CertificateVisibility]'},
        }

        def __init__(self, *, thumbprint: str, thumbprint_algorithm: str, store_location=None, store_name: str=None, visibility=None, **kwargs) -> None:
            super(CertificateReference, self).__init__(**kwargs)
            self.thumbprint = thumbprint
            self.thumbprint_algorithm = thumbprint_algorithm
            self.store_location = store_location
            self.store_name = store_name
            self.visibility = visibility

    class CIFSMountConfiguration(Model):
        """Information used to connect to a CIFS file system.

        All required parameters must be populated in order to send to Azure.

        :param username: Required. The user to use for authentication against the
         CIFS file system.
        :type username: str
        :param source: Required. The URI of the file system to mount.
        :type source: str
        :param relative_mount_path: Required. The relative path on the compute
         node where the file system will be mounted. All file systems are mounted
         relative to the Batch mounts directory, accessible via the
         AZ_BATCH_NODE_MOUNTS_DIR environment variable.
        :type relative_mount_path: str
        :param mount_options: Additional command line options to pass to the mount
         command. These are 'net use' options in Windows and 'mount' options in
         Linux.
        :type mount_options: str
        :param password: Required. The password to use for authentication against
         the CIFS file system.
        :type password: str
        """

        _validation = {
            'username': {'required': True},
            'source': {'required': True},
            'relative_mount_path': {'required': True},
            'password': {'required': True},
        }

        _attribute_map = {
            'username': {'key': 'username', 'type': 'str'},
            'source': {'key': 'source', 'type': 'str'},
            'relative_mount_path': {'key': 'relativeMountPath', 'type': 'str'},
            'mount_options': {'key': 'mountOptions', 'type': 'str'},
            'password': {'key': 'password', 'type': 'str'},
        }

        def __init__(self, *, username: str, source: str, relative_mount_path: str, password: str, mount_options: str=None, **kwargs) -> None:
            super(CIFSMountConfiguration, self).__init__(**kwargs)
            self.username = username
            self.source = source
            self.relative_mount_path = relative_mount_path
            self.mount_options = mount_options
            self.password = password

    class CloudError(Model):
        """CloudError.
        """

        _attribute_map = {
        }

    class CloudJob(Model):
        """An Azure Batch Job.

        :param id: A string that uniquely identifies the Job within the Account.
         The ID is case-preserving and case-insensitive (that is, you may not have
         two IDs within an Account that differ only by case).
        :type id: str
        :param display_name: The display name for the Job.
        :type display_name: str
        :param uses_task_dependencies: Whether Tasks in the Job can define
         dependencies on each other. The default is false.
        :type uses_task_dependencies: bool
        :param url: The URL of the Job.
        :type url: str
        :param e_tag: The ETag of the Job. This is an opaque string. You can use
         it to detect whether the Job has changed between requests. In particular,
         you can be pass the ETag when updating a Job to specify that your changes
         should take effect only if nobody else has modified the Job in the
         meantime.
        :type e_tag: str
        :param last_modified: The last modified time of the Job. This is the last
         time at which the Job level data, such as the Job state or priority,
         changed. It does not factor in task-level changes such as adding new Tasks
         or Tasks changing state.
        :type last_modified: datetime
        :param creation_time: The creation time of the Job.
        :type creation_time: datetime
        :param state: The current state of the Job. Possible values include:
         'active', 'disabling', 'disabled', 'enabling', 'terminating', 'completed',
         'deleting'
        :type state: str or ~azure.batch.models.JobState
        :param state_transition_time: The time at which the Job entered its
         current state.
        :type state_transition_time: datetime
        :param previous_state: The previous state of the Job. This property is not
         set if the Job is in its initial Active state. Possible values include:
         'active', 'disabling', 'disabled', 'enabling', 'terminating', 'completed',
         'deleting'
        :type previous_state: str or ~azure.batch.models.JobState
        :param previous_state_transition_time: The time at which the Job entered
         its previous state. This property is not set if the Job is in its initial
         Active state.
        :type previous_state_transition_time: datetime
        :param priority: The priority of the Job. Priority values can range from
         -1000 to 1000, with -1000 being the lowest priority and 1000 being the
         highest priority. The default value is 0.
        :type priority: int
        :param constraints: The execution constraints for the Job.
        :type constraints: ~azure.batch.models.JobConstraints
        :param job_manager_task: Details of a Job Manager Task to be launched when
         the Job is started.
        :type job_manager_task: ~azure.batch.models.JobManagerTask
        :param job_preparation_task: The Job Preparation Task. The Job Preparation
         Task is a special Task run on each Compute Node before any other Task of
         the Job.
        :type job_preparation_task: ~azure.batch.models.JobPreparationTask
        :param job_release_task: The Job Release Task. The Job Release Task is a
         special Task run at the end of the Job on each Compute Node that has run
         any other Task of the Job.
        :type job_release_task: ~azure.batch.models.JobReleaseTask
        :param common_environment_settings: The list of common environment
         variable settings. These environment variables are set for all Tasks in
         the Job (including the Job Manager, Job Preparation and Job Release
         Tasks). Individual Tasks can override an environment setting specified
         here by specifying the same setting name with a different value.
        :type common_environment_settings:
         list[~azure.batch.models.EnvironmentSetting]
        :param pool_info: The Pool settings associated with the Job.
        :type pool_info: ~azure.batch.models.PoolInformation
        :param on_all_tasks_complete: The action the Batch service should take
         when all Tasks in the Job are in the completed state. The default is
         noaction. Possible values include: 'noAction', 'terminateJob'
        :type on_all_tasks_complete: str or ~azure.batch.models.OnAllTasksComplete
        :param on_task_failure: The action the Batch service should take when any
         Task in the Job fails. A Task is considered to have failed if has a
         failureInfo. A failureInfo is set if the Task completes with a non-zero
         exit code after exhausting its retry count, or if there was an error
         starting the Task, for example due to a resource file download error. The
         default is noaction. Possible values include: 'noAction',
         'performExitOptionsJobAction'
        :type on_task_failure: str or ~azure.batch.models.OnTaskFailure
        :param network_configuration: The network configuration for the Job.
        :type network_configuration: ~azure.batch.models.JobNetworkConfiguration
        :param metadata: A list of name-value pairs associated with the Job as
         metadata. The Batch service does not assign any meaning to metadata; it is
         solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param execution_info: The execution information for the Job.
        :type execution_info: ~azure.batch.models.JobExecutionInformation
        :param stats: Resource usage statistics for the entire lifetime of the
         Job. This property is populated only if the CloudJob was retrieved with an
         expand clause including the 'stats' attribute; otherwise it is null. The
         statistics may not be immediately available. The Batch service performs
         periodic roll-up of statistics. The typical delay is about 30 minutes.
        :type stats: ~azure.batch.models.JobStatistics
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'uses_task_dependencies': {'key': 'usesTaskDependencies', 'type': 'bool'},
            'url': {'key': 'url', 'type': 'str'},
            'e_tag': {'key': 'eTag', 'type': 'str'},
            'last_modified': {'key': 'lastModified', 'type': 'iso-8601'},
            'creation_time': {'key': 'creationTime', 'type': 'iso-8601'},
            'state': {'key': 'state', 'type': 'JobState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'previous_state': {'key': 'previousState', 'type': 'JobState'},
            'previous_state_transition_time': {'key': 'previousStateTransitionTime', 'type': 'iso-8601'},
            'priority': {'key': 'priority', 'type': 'int'},
            'constraints': {'key': 'constraints', 'type': 'JobConstraints'},
            'job_manager_task': {'key': 'jobManagerTask', 'type': 'JobManagerTask'},
            'job_preparation_task': {'key': 'jobPreparationTask', 'type': 'JobPreparationTask'},
            'job_release_task': {'key': 'jobReleaseTask', 'type': 'JobReleaseTask'},
            'common_environment_settings': {'key': 'commonEnvironmentSettings', 'type': '[EnvironmentSetting]'},
            'pool_info': {'key': 'poolInfo', 'type': 'PoolInformation'},
            'on_all_tasks_complete': {'key': 'onAllTasksComplete', 'type': 'OnAllTasksComplete'},
            'on_task_failure': {'key': 'onTaskFailure', 'type': 'OnTaskFailure'},
            'network_configuration': {'key': 'networkConfiguration', 'type': 'JobNetworkConfiguration'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'execution_info': {'key': 'executionInfo', 'type': 'JobExecutionInformation'},
            'stats': {'key': 'stats', 'type': 'JobStatistics'},
        }

        def __init__(self, *, id: str=None, display_name: str=None, uses_task_dependencies: bool=None, url: str=None, e_tag: str=None, last_modified=None, creation_time=None, state=None, state_transition_time=None, previous_state=None, previous_state_transition_time=None, priority: int=None, constraints=None, job_manager_task=None, job_preparation_task=None, job_release_task=None, common_environment_settings=None, pool_info=None, on_all_tasks_complete=None, on_task_failure=None, network_configuration=None, metadata=None, execution_info=None, stats=None, **kwargs) -> None:
            super(CloudJob, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.uses_task_dependencies = uses_task_dependencies
            self.url = url
            self.e_tag = e_tag
            self.last_modified = last_modified
            self.creation_time = creation_time
            self.state = state
            self.state_transition_time = state_transition_time
            self.previous_state = previous_state
            self.previous_state_transition_time = previous_state_transition_time
            self.priority = priority
            self.constraints = constraints
            self.job_manager_task = job_manager_task
            self.job_preparation_task = job_preparation_task
            self.job_release_task = job_release_task
            self.common_environment_settings = common_environment_settings
            self.pool_info = pool_info
            self.on_all_tasks_complete = on_all_tasks_complete
            self.on_task_failure = on_task_failure
            self.network_configuration = network_configuration
            self.metadata = metadata
            self.execution_info = execution_info
            self.stats = stats

    class CloudJobSchedule(Model):
        """A Job Schedule that allows recurring Jobs by specifying when to run Jobs
        and a specification used to create each Job.

        :param id: A string that uniquely identifies the schedule within the
         Account.
        :type id: str
        :param display_name: The display name for the schedule.
        :type display_name: str
        :param url: The URL of the Job Schedule.
        :type url: str
        :param e_tag: The ETag of the Job Schedule. This is an opaque string. You
         can use it to detect whether the Job Schedule has changed between
         requests. In particular, you can be pass the ETag with an Update Job
         Schedule request to specify that your changes should take effect only if
         nobody else has modified the schedule in the meantime.
        :type e_tag: str
        :param last_modified: The last modified time of the Job Schedule. This is
         the last time at which the schedule level data, such as the Job
         specification or recurrence information, changed. It does not factor in
         job-level changes such as new Jobs being created or Jobs changing state.
        :type last_modified: datetime
        :param creation_time: The creation time of the Job Schedule.
        :type creation_time: datetime
        :param state: The current state of the Job Schedule. Possible values
         include: 'active', 'completed', 'disabled', 'terminating', 'deleting'
        :type state: str or ~azure.batch.models.JobScheduleState
        :param state_transition_time: The time at which the Job Schedule entered
         the current state.
        :type state_transition_time: datetime
        :param previous_state: The previous state of the Job Schedule. This
         property is not present if the Job Schedule is in its initial active
         state. Possible values include: 'active', 'completed', 'disabled',
         'terminating', 'deleting'
        :type previous_state: str or ~azure.batch.models.JobScheduleState
        :param previous_state_transition_time: The time at which the Job Schedule
         entered its previous state. This property is not present if the Job
         Schedule is in its initial active state.
        :type previous_state_transition_time: datetime
        :param schedule: The schedule according to which Jobs will be created.
        :type schedule: ~azure.batch.models.Schedule
        :param job_specification: The details of the Jobs to be created on this
         schedule.
        :type job_specification: ~azure.batch.models.JobSpecification
        :param execution_info: Information about Jobs that have been and will be
         run under this schedule.
        :type execution_info: ~azure.batch.models.JobScheduleExecutionInformation
        :param metadata: A list of name-value pairs associated with the schedule
         as metadata. The Batch service does not assign any meaning to metadata; it
         is solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param stats: The lifetime resource usage statistics for the Job Schedule.
         The statistics may not be immediately available. The Batch service
         performs periodic roll-up of statistics. The typical delay is about 30
         minutes.
        :type stats: ~azure.batch.models.JobScheduleStatistics
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
            'e_tag': {'key': 'eTag', 'type': 'str'},
            'last_modified': {'key': 'lastModified', 'type': 'iso-8601'},
            'creation_time': {'key': 'creationTime', 'type': 'iso-8601'},
            'state': {'key': 'state', 'type': 'JobScheduleState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'previous_state': {'key': 'previousState', 'type': 'JobScheduleState'},
            'previous_state_transition_time': {'key': 'previousStateTransitionTime', 'type': 'iso-8601'},
            'schedule': {'key': 'schedule', 'type': 'Schedule'},
            'job_specification': {'key': 'jobSpecification', 'type': 'JobSpecification'},
            'execution_info': {'key': 'executionInfo', 'type': 'JobScheduleExecutionInformation'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'stats': {'key': 'stats', 'type': 'JobScheduleStatistics'},
        }

        def __init__(self, *, id: str=None, display_name: str=None, url: str=None, e_tag: str=None, last_modified=None, creation_time=None, state=None, state_transition_time=None, previous_state=None, previous_state_transition_time=None, schedule=None, job_specification=None, execution_info=None, metadata=None, stats=None, **kwargs) -> None:
            super(CloudJobSchedule, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.url = url
            self.e_tag = e_tag
            self.last_modified = last_modified
            self.creation_time = creation_time
            self.state = state
            self.state_transition_time = state_transition_time
            self.previous_state = previous_state
            self.previous_state_transition_time = previous_state_transition_time
            self.schedule = schedule
            self.job_specification = job_specification
            self.execution_info = execution_info
            self.metadata = metadata
            self.stats = stats

    class CloudPool(Model):
        """A Pool in the Azure Batch service.

        :param id: A string that uniquely identifies the Pool within the Account.
         The ID can contain any combination of alphanumeric characters including
         hyphens and underscores, and cannot contain more than 64 characters. The
         ID is case-preserving and case-insensitive (that is, you may not have two
         IDs within an Account that differ only by case).
        :type id: str
        :param display_name: The display name for the Pool. The display name need
         not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param url: The URL of the Pool.
        :type url: str
        :param e_tag: The ETag of the Pool. This is an opaque string. You can use
         it to detect whether the Pool has changed between requests. In particular,
         you can be pass the ETag when updating a Pool to specify that your changes
         should take effect only if nobody else has modified the Pool in the
         meantime.
        :type e_tag: str
        :param last_modified: The last modified time of the Pool. This is the last
         time at which the Pool level data, such as the targetDedicatedNodes or
         enableAutoscale settings, changed. It does not factor in node-level
         changes such as a Compute Node changing state.
        :type last_modified: datetime
        :param creation_time: The creation time of the Pool.
        :type creation_time: datetime
        :param state: The current state of the Pool. Possible values include:
         'active', 'deleting'
        :type state: str or ~azure.batch.models.PoolState
        :param state_transition_time: The time at which the Pool entered its
         current state.
        :type state_transition_time: datetime
        :param allocation_state: Whether the Pool is resizing. Possible values
         include: 'steady', 'resizing', 'stopping'
        :type allocation_state: str or ~azure.batch.models.AllocationState
        :param allocation_state_transition_time: The time at which the Pool
         entered its current allocation state.
        :type allocation_state_transition_time: datetime
        :param vm_size: The size of virtual machines in the Pool. All virtual
         machines in a Pool are the same size. For information about available
         sizes of virtual machines in Pools, see Choose a VM size for Compute Nodes
         in an Azure Batch Pool
         (https://docs.microsoft.com/azure/batch/batch-pool-vm-sizes).
        :type vm_size: str
        :param cloud_service_configuration: The cloud service configuration for
         the Pool. This property and virtualMachineConfiguration are mutually
         exclusive and one of the properties must be specified. This property
         cannot be specified if the Batch Account was created with its
         poolAllocationMode property set to 'UserSubscription'.
        :type cloud_service_configuration:
         ~azure.batch.models.CloudServiceConfiguration
        :param virtual_machine_configuration: The virtual machine configuration
         for the Pool. This property and cloudServiceConfiguration are mutually
         exclusive and one of the properties must be specified.
        :type virtual_machine_configuration:
         ~azure.batch.models.VirtualMachineConfiguration
        :param resize_timeout: The timeout for allocation of Compute Nodes to the
         Pool. This is the timeout for the most recent resize operation. (The
         initial sizing when the Pool is created counts as a resize.) The default
         value is 15 minutes.
        :type resize_timeout: timedelta
        :param resize_errors: A list of errors encountered while performing the
         last resize on the Pool. This property is set only if one or more errors
         occurred during the last Pool resize, and only when the Pool
         allocationState is Steady.
        :type resize_errors: list[~azure.batch.models.ResizeError]
        :param current_dedicated_nodes: The number of dedicated Compute Nodes
         currently in the Pool.
        :type current_dedicated_nodes: int
        :param current_low_priority_nodes: The number of low-priority Compute
         Nodes currently in the Pool. Low-priority Compute Nodes which have been
         preempted are included in this count.
        :type current_low_priority_nodes: int
        :param target_dedicated_nodes: The desired number of dedicated Compute
         Nodes in the Pool.
        :type target_dedicated_nodes: int
        :param target_low_priority_nodes: The desired number of low-priority
         Compute Nodes in the Pool.
        :type target_low_priority_nodes: int
        :param enable_auto_scale: Whether the Pool size should automatically
         adjust over time. If false, at least one of targetDedicateNodes and
         targetLowPriorityNodes must be specified. If true, the autoScaleFormula
         property is required and the Pool automatically resizes according to the
         formula. The default value is false.
        :type enable_auto_scale: bool
        :param auto_scale_formula: A formula for the desired number of Compute
         Nodes in the Pool. This property is set only if the Pool automatically
         scales, i.e. enableAutoScale is true.
        :type auto_scale_formula: str
        :param auto_scale_evaluation_interval: The time interval at which to
         automatically adjust the Pool size according to the autoscale formula.
         This property is set only if the Pool automatically scales, i.e.
         enableAutoScale is true.
        :type auto_scale_evaluation_interval: timedelta
        :param auto_scale_run: The results and errors from the last execution of
         the autoscale formula. This property is set only if the Pool automatically
         scales, i.e. enableAutoScale is true.
        :type auto_scale_run: ~azure.batch.models.AutoScaleRun
        :param enable_inter_node_communication: Whether the Pool permits direct
         communication between Compute Nodes. This imposes restrictions on which
         Compute Nodes can be assigned to the Pool. Specifying this value can
         reduce the chance of the requested number of Compute Nodes to be allocated
         in the Pool.
        :type enable_inter_node_communication: bool
        :param network_configuration: The network configuration for the Pool.
        :type network_configuration: ~azure.batch.models.NetworkConfiguration
        :param start_task: A Task specified to run on each Compute Node as it
         joins the Pool.
        :type start_task: ~azure.batch.models.StartTask
        :param certificate_references: The list of Certificates to be installed on
         each Compute Node in the Pool. For Windows Nodes, the Batch service
         installs the Certificates to the specified Certificate store and location.
         For Linux Compute Nodes, the Certificates are stored in a directory inside
         the Task working directory and an environment variable
         AZ_BATCH_CERTIFICATES_DIR is supplied to the Task to query for this
         location. For Certificates with visibility of 'remoteUser', a 'certs'
         directory is created in the user's home directory (e.g.,
         /home/{user-name}/certs) and Certificates are placed in that directory.
        :type certificate_references:
         list[~azure.batch.models.CertificateReference]
        :param application_package_references: The list of Packages to be
         installed on each Compute Node in the Pool. Changes to Package references
         affect all new Nodes joining the Pool, but do not affect Compute Nodes
         that are already in the Pool until they are rebooted or reimaged. There is
         a maximum of 10 Package references on any given Pool.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param application_licenses: The list of application licenses the Batch
         service will make available on each Compute Node in the Pool. The list of
         application licenses must be a subset of available Batch service
         application licenses. If a license is requested which is not supported,
         Pool creation will fail.
        :type application_licenses: list[str]
        :param max_tasks_per_node: The maximum number of Tasks that can run
         concurrently on a single Compute Node in the Pool. The default value is 1.
         The maximum value is the smaller of 4 times the number of cores of the
         vmSize of the Pool or 256.
        :type max_tasks_per_node: int
        :param task_scheduling_policy: How Tasks are distributed across Compute
         Nodes in a Pool. If not specified, the default is spread.
        :type task_scheduling_policy: ~azure.batch.models.TaskSchedulingPolicy
        :param user_accounts: The list of user Accounts to be created on each
         Compute Node in the Pool.
        :type user_accounts: list[~azure.batch.models.UserAccount]
        :param metadata: A list of name-value pairs associated with the Pool as
         metadata.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param stats: Utilization and resource usage statistics for the entire
         lifetime of the Pool. This property is populated only if the CloudPool was
         retrieved with an expand clause including the 'stats' attribute; otherwise
         it is null. The statistics may not be immediately available. The Batch
         service performs periodic roll-up of statistics. The typical delay is
         about 30 minutes.
        :type stats: ~azure.batch.models.PoolStatistics
        :param mount_configuration: A list of file systems to mount on each node
         in the pool. This supports Azure Files, NFS, CIFS/SMB, and Blobfuse.
        :type mount_configuration: list[~azure.batch.models.MountConfiguration]
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
            'e_tag': {'key': 'eTag', 'type': 'str'},
            'last_modified': {'key': 'lastModified', 'type': 'iso-8601'},
            'creation_time': {'key': 'creationTime', 'type': 'iso-8601'},
            'state': {'key': 'state', 'type': 'PoolState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'allocation_state': {'key': 'allocationState', 'type': 'AllocationState'},
            'allocation_state_transition_time': {'key': 'allocationStateTransitionTime', 'type': 'iso-8601'},
            'vm_size': {'key': 'vmSize', 'type': 'str'},
            'cloud_service_configuration': {'key': 'cloudServiceConfiguration', 'type': 'CloudServiceConfiguration'},
            'virtual_machine_configuration': {'key': 'virtualMachineConfiguration', 'type': 'VirtualMachineConfiguration'},
            'resize_timeout': {'key': 'resizeTimeout', 'type': 'duration'},
            'resize_errors': {'key': 'resizeErrors', 'type': '[ResizeError]'},
            'current_dedicated_nodes': {'key': 'currentDedicatedNodes', 'type': 'int'},
            'current_low_priority_nodes': {'key': 'currentLowPriorityNodes', 'type': 'int'},
            'target_dedicated_nodes': {'key': 'targetDedicatedNodes', 'type': 'int'},
            'target_low_priority_nodes': {'key': 'targetLowPriorityNodes', 'type': 'int'},
            'enable_auto_scale': {'key': 'enableAutoScale', 'type': 'bool'},
            'auto_scale_formula': {'key': 'autoScaleFormula', 'type': 'str'},
            'auto_scale_evaluation_interval': {'key': 'autoScaleEvaluationInterval', 'type': 'duration'},
            'auto_scale_run': {'key': 'autoScaleRun', 'type': 'AutoScaleRun'},
            'enable_inter_node_communication': {'key': 'enableInterNodeCommunication', 'type': 'bool'},
            'network_configuration': {'key': 'networkConfiguration', 'type': 'NetworkConfiguration'},
            'start_task': {'key': 'startTask', 'type': 'StartTask'},
            'certificate_references': {'key': 'certificateReferences', 'type': '[CertificateReference]'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'application_licenses': {'key': 'applicationLicenses', 'type': '[str]'},
            'max_tasks_per_node': {'key': 'maxTasksPerNode', 'type': 'int'},
            'task_scheduling_policy': {'key': 'taskSchedulingPolicy', 'type': 'TaskSchedulingPolicy'},
            'user_accounts': {'key': 'userAccounts', 'type': '[UserAccount]'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'stats': {'key': 'stats', 'type': 'PoolStatistics'},
            'mount_configuration': {'key': 'mountConfiguration', 'type': '[MountConfiguration]'},
        }

        def __init__(self, *, id: str=None, display_name: str=None, url: str=None, e_tag: str=None, last_modified=None, creation_time=None, state=None, state_transition_time=None, allocation_state=None, allocation_state_transition_time=None, vm_size: str=None, cloud_service_configuration=None, virtual_machine_configuration=None, resize_timeout=None, resize_errors=None, current_dedicated_nodes: int=None, current_low_priority_nodes: int=None, target_dedicated_nodes: int=None, target_low_priority_nodes: int=None, enable_auto_scale: bool=None, auto_scale_formula: str=None, auto_scale_evaluation_interval=None, auto_scale_run=None, enable_inter_node_communication: bool=None, network_configuration=None, start_task=None, certificate_references=None, application_package_references=None, application_licenses=None, max_tasks_per_node: int=None, task_scheduling_policy=None, user_accounts=None, metadata=None, stats=None, mount_configuration=None, **kwargs) -> None:
            super(CloudPool, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.url = url
            self.e_tag = e_tag
            self.last_modified = last_modified
            self.creation_time = creation_time
            self.state = state
            self.state_transition_time = state_transition_time
            self.allocation_state = allocation_state
            self.allocation_state_transition_time = allocation_state_transition_time
            self.vm_size = vm_size
            self.cloud_service_configuration = cloud_service_configuration
            self.virtual_machine_configuration = virtual_machine_configuration
            self.resize_timeout = resize_timeout
            self.resize_errors = resize_errors
            self.current_dedicated_nodes = current_dedicated_nodes
            self.current_low_priority_nodes = current_low_priority_nodes
            self.target_dedicated_nodes = target_dedicated_nodes
            self.target_low_priority_nodes = target_low_priority_nodes
            self.enable_auto_scale = enable_auto_scale
            self.auto_scale_formula = auto_scale_formula
            self.auto_scale_evaluation_interval = auto_scale_evaluation_interval
            self.auto_scale_run = auto_scale_run
            self.enable_inter_node_communication = enable_inter_node_communication
            self.network_configuration = network_configuration
            self.start_task = start_task
            self.certificate_references = certificate_references
            self.application_package_references = application_package_references
            self.application_licenses = application_licenses
            self.max_tasks_per_node = max_tasks_per_node
            self.task_scheduling_policy = task_scheduling_policy
            self.user_accounts = user_accounts
            self.metadata = metadata
            self.stats = stats
            self.mount_configuration = mount_configuration

    class CloudServiceConfiguration(Model):
        """The configuration for Compute Nodes in a Pool based on the Azure Cloud
        Services platform.

        All required parameters must be populated in order to send to Azure.

        :param os_family: Required. The Azure Guest OS family to be installed on
         the virtual machines in the Pool. Possible values are:
         2 - OS Family 2, equivalent to Windows Server 2008 R2 SP1.
         3 - OS Family 3, equivalent to Windows Server 2012.
         4 - OS Family 4, equivalent to Windows Server 2012 R2.
         5 - OS Family 5, equivalent to Windows Server 2016.
         6 - OS Family 6, equivalent to Windows Server 2019. For more information,
         see Azure Guest OS Releases
         (https://azure.microsoft.com/documentation/articles/cloud-services-guestos-update-matrix/#releases).
        :type os_family: str
        :param os_version: The Azure Guest OS version to be installed on the
         virtual machines in the Pool. The default value is * which specifies the
         latest operating system version for the specified OS family.
        :type os_version: str
        """

        _validation = {
            'os_family': {'required': True},
        }

        _attribute_map = {
            'os_family': {'key': 'osFamily', 'type': 'str'},
            'os_version': {'key': 'osVersion', 'type': 'str'},
        }

        def __init__(self, *, os_family: str, os_version: str=None, **kwargs) -> None:
            super(CloudServiceConfiguration, self).__init__(**kwargs)
            self.os_family = os_family
            self.os_version = os_version

    class CloudTask(Model):
        """An Azure Batch Task.

        Batch will retry Tasks when a recovery operation is triggered on a Node.
        Examples of recovery operations include (but are not limited to) when an
        unhealthy Node is rebooted or a Compute Node disappeared due to host
        failure. Retries due to recovery operations are independent of and are not
        counted against the maxTaskRetryCount. Even if the maxTaskRetryCount is 0,
        an internal retry due to a recovery operation may occur. Because of this,
        all Tasks should be idempotent. This means Tasks need to tolerate being
        interrupted and restarted without causing any corruption or duplicate data.
        The best practice for long running Tasks is to use some form of
        checkpointing.

        :param id: A string that uniquely identifies the Task within the Job. The
         ID can contain any combination of alphanumeric characters including
         hyphens and underscores, and cannot contain more than 64 characters.
        :type id: str
        :param display_name: A display name for the Task. The display name need
         not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param url: The URL of the Task.
        :type url: str
        :param e_tag: The ETag of the Task. This is an opaque string. You can use
         it to detect whether the Task has changed between requests. In particular,
         you can be pass the ETag when updating a Task to specify that your changes
         should take effect only if nobody else has modified the Task in the
         meantime.
        :type e_tag: str
        :param last_modified: The last modified time of the Task.
        :type last_modified: datetime
        :param creation_time: The creation time of the Task.
        :type creation_time: datetime
        :param exit_conditions: How the Batch service should respond when the Task
         completes.
        :type exit_conditions: ~azure.batch.models.ExitConditions
        :param state: The current state of the Task. Possible values include:
         'active', 'preparing', 'running', 'completed'
        :type state: str or ~azure.batch.models.TaskState
        :param state_transition_time: The time at which the Task entered its
         current state.
        :type state_transition_time: datetime
        :param previous_state: The previous state of the Task. This property is
         not set if the Task is in its initial Active state. Possible values
         include: 'active', 'preparing', 'running', 'completed'
        :type previous_state: str or ~azure.batch.models.TaskState
        :param previous_state_transition_time: The time at which the Task entered
         its previous state. This property is not set if the Task is in its initial
         Active state.
        :type previous_state_transition_time: datetime
        :param command_line: The command line of the Task. For multi-instance
         Tasks, the command line is executed as the primary Task, after the primary
         Task and all subtasks have finished executing the coordination command
         line. The command line does not run under a shell, and therefore cannot
         take advantage of shell features such as environment variable expansion.
         If you want to take advantage of such features, you should invoke the
         shell in the command line, for example using "cmd /c MyCommand" in Windows
         or "/bin/sh -c MyCommand" in Linux. If the command line refers to file
         paths, it should use a relative path (relative to the Task working
         directory), or use the Batch provided environment variable
         (https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
        :type command_line: str
        :param container_settings: The settings for the container under which the
         Task runs. If the Pool that will run this Task has containerConfiguration
         set, this must be set as well. If the Pool that will run this Task doesn't
         have containerConfiguration set, this must not be set. When this is
         specified, all directories recursively below the AZ_BATCH_NODE_ROOT_DIR
         (the root of Azure Batch directories on the node) are mapped into the
         container, all Task environment variables are mapped into the container,
         and the Task command line is executed in the container. Files produced in
         the container outside of AZ_BATCH_NODE_ROOT_DIR might not be reflected to
         the host disk, meaning that Batch file APIs will not be able to access
         those files.
        :type container_settings: ~azure.batch.models.TaskContainerSettings
        :param resource_files: A list of files that the Batch service will
         download to the Compute Node before running the command line. For
         multi-instance Tasks, the resource files will only be downloaded to the
         Compute Node on which the primary Task is executed. There is a maximum
         size for the list of resource files.  When the max size is exceeded, the
         request will fail and the response error code will be
         RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
         must be reduced in size. This can be achieved using .zip files,
         Application Packages, or Docker Containers.
        :type resource_files: list[~azure.batch.models.ResourceFile]
        :param output_files: A list of files that the Batch service will upload
         from the Compute Node after running the command line. For multi-instance
         Tasks, the files will only be uploaded from the Compute Node on which the
         primary Task is executed.
        :type output_files: list[~azure.batch.models.OutputFile]
        :param environment_settings: A list of environment variable settings for
         the Task.
        :type environment_settings: list[~azure.batch.models.EnvironmentSetting]
        :param affinity_info: A locality hint that can be used by the Batch
         service to select a Compute Node on which to start the new Task.
        :type affinity_info: ~azure.batch.models.AffinityInformation
        :param constraints: The execution constraints that apply to this Task.
        :type constraints: ~azure.batch.models.TaskConstraints
        :param user_identity: The user identity under which the Task runs. If
         omitted, the Task runs as a non-administrative user unique to the Task.
        :type user_identity: ~azure.batch.models.UserIdentity
        :param execution_info: Information about the execution of the Task.
        :type execution_info: ~azure.batch.models.TaskExecutionInformation
        :param node_info: Information about the Compute Node on which the Task
         ran.
        :type node_info: ~azure.batch.models.ComputeNodeInformation
        :param multi_instance_settings: An object that indicates that the Task is
         a multi-instance Task, and contains information about how to run the
         multi-instance Task.
        :type multi_instance_settings: ~azure.batch.models.MultiInstanceSettings
        :param stats: Resource usage statistics for the Task.
        :type stats: ~azure.batch.models.TaskStatistics
        :param depends_on: The Tasks that this Task depends on. This Task will not
         be scheduled until all Tasks that it depends on have completed
         successfully. If any of those Tasks fail and exhaust their retry counts,
         this Task will never be scheduled.
        :type depends_on: ~azure.batch.models.TaskDependencies
        :param application_package_references: A list of Packages that the Batch
         service will deploy to the Compute Node before running the command line.
         Application packages are downloaded and deployed to a shared directory,
         not the Task working directory. Therefore, if a referenced package is
         already on the Node, and is up to date, then it is not re-downloaded; the
         existing copy on the Compute Node is used. If a referenced Package cannot
         be installed, for example because the package has been deleted or because
         download failed, the Task fails.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param authentication_token_settings: The settings for an authentication
         token that the Task can use to perform Batch service operations. If this
         property is set, the Batch service provides the Task with an
         authentication token which can be used to authenticate Batch service
         operations without requiring an Account access key. The token is provided
         via the AZ_BATCH_AUTHENTICATION_TOKEN environment variable. The operations
         that the Task can carry out using the token depend on the settings. For
         example, a Task can request Job permissions in order to add other Tasks to
         the Job, or check the status of the Job or of other Tasks under the Job.
        :type authentication_token_settings:
         ~azure.batch.models.AuthenticationTokenSettings
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
            'e_tag': {'key': 'eTag', 'type': 'str'},
            'last_modified': {'key': 'lastModified', 'type': 'iso-8601'},
            'creation_time': {'key': 'creationTime', 'type': 'iso-8601'},
            'exit_conditions': {'key': 'exitConditions', 'type': 'ExitConditions'},
            'state': {'key': 'state', 'type': 'TaskState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'previous_state': {'key': 'previousState', 'type': 'TaskState'},
            'previous_state_transition_time': {'key': 'previousStateTransitionTime', 'type': 'iso-8601'},
            'command_line': {'key': 'commandLine', 'type': 'str'},
            'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
            'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
            'output_files': {'key': 'outputFiles', 'type': '[OutputFile]'},
            'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
            'affinity_info': {'key': 'affinityInfo', 'type': 'AffinityInformation'},
            'constraints': {'key': 'constraints', 'type': 'TaskConstraints'},
            'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
            'execution_info': {'key': 'executionInfo', 'type': 'TaskExecutionInformation'},
            'node_info': {'key': 'nodeInfo', 'type': 'ComputeNodeInformation'},
            'multi_instance_settings': {'key': 'multiInstanceSettings', 'type': 'MultiInstanceSettings'},
            'stats': {'key': 'stats', 'type': 'TaskStatistics'},
            'depends_on': {'key': 'dependsOn', 'type': 'TaskDependencies'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'authentication_token_settings': {'key': 'authenticationTokenSettings', 'type': 'AuthenticationTokenSettings'},
        }

        def __init__(self, *, id: str=None, display_name: str=None, url: str=None, e_tag: str=None, last_modified=None, creation_time=None, exit_conditions=None, state=None, state_transition_time=None, previous_state=None, previous_state_transition_time=None, command_line: str=None, container_settings=None, resource_files=None, output_files=None, environment_settings=None, affinity_info=None, constraints=None, user_identity=None, execution_info=None, node_info=None, multi_instance_settings=None, stats=None, depends_on=None, application_package_references=None, authentication_token_settings=None, **kwargs) -> None:
            super(CloudTask, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.url = url
            self.e_tag = e_tag
            self.last_modified = last_modified
            self.creation_time = creation_time
            self.exit_conditions = exit_conditions
            self.state = state
            self.state_transition_time = state_transition_time
            self.previous_state = previous_state
            self.previous_state_transition_time = previous_state_transition_time
            self.command_line = command_line
            self.container_settings = container_settings
            self.resource_files = resource_files
            self.output_files = output_files
            self.environment_settings = environment_settings
            self.affinity_info = affinity_info
            self.constraints = constraints
            self.user_identity = user_identity
            self.execution_info = execution_info
            self.node_info = node_info
            self.multi_instance_settings = multi_instance_settings
            self.stats = stats
            self.depends_on = depends_on
            self.application_package_references = application_package_references
            self.authentication_token_settings = authentication_token_settings

    class CloudTaskListSubtasksResult(Model):
        """The result of listing the subtasks of a Task.

        :param value: The list of subtasks.
        :type value: list[~azure.batch.models.SubtaskInformation]
        """

        _attribute_map = {
            'value': {'key': 'value', 'type': '[SubtaskInformation]'},
        }

        def __init__(self, *, value=None, **kwargs) -> None:
            super(CloudTaskListSubtasksResult, self).__init__(**kwargs)
            self.value = value

    class ComputeNode(Model):
        """A Compute Node in the Batch service.

        :param id: The ID of the Compute Node. Every Compute Node that is added to
         a Pool is assigned a unique ID. Whenever a Compute Node is removed from a
         Pool, all of its local files are deleted, and the ID is reclaimed and
         could be reused for new Compute Nodes.
        :type id: str
        :param url: The URL of the Compute Node.
        :type url: str
        :param state: The current state of the Compute Node. The low-priority
         Compute Node has been preempted. Tasks which were running on the Compute
         Node when it was preempted will be rescheduled when another Compute Node
         becomes available. Possible values include: 'idle', 'rebooting',
         'reimaging', 'running', 'unusable', 'creating', 'starting',
         'waitingForStartTask', 'startTaskFailed', 'unknown', 'leavingPool',
         'offline', 'preempted'
        :type state: str or ~azure.batch.models.ComputeNodeState
        :param scheduling_state: Whether the Compute Node is available for Task
         scheduling. Possible values include: 'enabled', 'disabled'
        :type scheduling_state: str or ~azure.batch.models.SchedulingState
        :param state_transition_time: The time at which the Compute Node entered
         its current state.
        :type state_transition_time: datetime
        :param last_boot_time: The last time at which the Compute Node was
         started. This property may not be present if the Compute Node state is
         unusable.
        :type last_boot_time: datetime
        :param allocation_time: The time at which this Compute Node was allocated
         to the Pool. This is the time when the Compute Node was initially
         allocated and doesn't change once set. It is not updated when the Compute
         Node is service healed or preempted.
        :type allocation_time: datetime
        :param ip_address: The IP address that other Nodes can use to communicate
         with this Compute Node. Every Compute Node that is added to a Pool is
         assigned a unique IP address. Whenever a Compute Node is removed from a
         Pool, all of its local files are deleted, and the IP address is reclaimed
         and could be reused for new Compute Nodes.
        :type ip_address: str
        :param affinity_id: An identifier which can be passed when adding a Task
         to request that the Task be scheduled on this Compute Node. Note that this
         is just a soft affinity. If the target Compute Node is busy or unavailable
         at the time the Task is scheduled, then the Task will be scheduled
         elsewhere.
        :type affinity_id: str
        :param vm_size: The size of the virtual machine hosting the Compute Node.
         For information about available sizes of virtual machines in Pools, see
         Choose a VM size for Compute Nodes in an Azure Batch Pool
         (https://docs.microsoft.com/azure/batch/batch-pool-vm-sizes).
        :type vm_size: str
        :param total_tasks_run: The total number of Job Tasks completed on the
         Compute Node. This includes Job Manager Tasks and normal Tasks, but not
         Job Preparation, Job Release or Start Tasks.
        :type total_tasks_run: int
        :param running_tasks_count: The total number of currently running Job
         Tasks on the Compute Node. This includes Job Manager Tasks and normal
         Tasks, but not Job Preparation, Job Release or Start Tasks.
        :type running_tasks_count: int
        :param total_tasks_succeeded: The total number of Job Tasks which
         completed successfully (with exitCode 0) on the Compute Node. This
         includes Job Manager Tasks and normal Tasks, but not Job Preparation, Job
         Release or Start Tasks.
        :type total_tasks_succeeded: int
        :param recent_tasks: A list of Tasks whose state has recently changed.
         This property is present only if at least one Task has run on this Compute
         Node since it was assigned to the Pool.
        :type recent_tasks: list[~azure.batch.models.TaskInformation]
        :param start_task: The Task specified to run on the Compute Node as it
         joins the Pool.
        :type start_task: ~azure.batch.models.StartTask
        :param start_task_info: Runtime information about the execution of the
         StartTask on the Compute Node.
        :type start_task_info: ~azure.batch.models.StartTaskInformation
        :param certificate_references: The list of Certificates installed on the
         Compute Node. For Windows Nodes, the Batch service installs the
         Certificates to the specified Certificate store and location. For Linux
         Compute Nodes, the Certificates are stored in a directory inside the Task
         working directory and an environment variable AZ_BATCH_CERTIFICATES_DIR is
         supplied to the Task to query for this location. For Certificates with
         visibility of 'remoteUser', a 'certs' directory is created in the user's
         home directory (e.g., /home/{user-name}/certs) and Certificates are placed
         in that directory.
        :type certificate_references:
         list[~azure.batch.models.CertificateReference]
        :param errors: The list of errors that are currently being encountered by
         the Compute Node.
        :type errors: list[~azure.batch.models.ComputeNodeError]
        :param is_dedicated: Whether this Compute Node is a dedicated Compute
         Node. If false, the Compute Node is a low-priority Compute Node.
        :type is_dedicated: bool
        :param endpoint_configuration: The endpoint configuration for the Compute
         Node.
        :type endpoint_configuration:
         ~azure.batch.models.ComputeNodeEndpointConfiguration
        :param node_agent_info: Information about the Compute Node agent version
         and the time the Compute Node upgraded to a new version.
        :type node_agent_info: ~azure.batch.models.NodeAgentInformation
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
            'state': {'key': 'state', 'type': 'ComputeNodeState'},
            'scheduling_state': {'key': 'schedulingState', 'type': 'SchedulingState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'last_boot_time': {'key': 'lastBootTime', 'type': 'iso-8601'},
            'allocation_time': {'key': 'allocationTime', 'type': 'iso-8601'},
            'ip_address': {'key': 'ipAddress', 'type': 'str'},
            'affinity_id': {'key': 'affinityId', 'type': 'str'},
            'vm_size': {'key': 'vmSize', 'type': 'str'},
            'total_tasks_run': {'key': 'totalTasksRun', 'type': 'int'},
            'running_tasks_count': {'key': 'runningTasksCount', 'type': 'int'},
            'total_tasks_succeeded': {'key': 'totalTasksSucceeded', 'type': 'int'},
            'recent_tasks': {'key': 'recentTasks', 'type': '[TaskInformation]'},
            'start_task': {'key': 'startTask', 'type': 'StartTask'},
            'start_task_info': {'key': 'startTaskInfo', 'type': 'StartTaskInformation'},
            'certificate_references': {'key': 'certificateReferences', 'type': '[CertificateReference]'},
            'errors': {'key': 'errors', 'type': '[ComputeNodeError]'},
            'is_dedicated': {'key': 'isDedicated', 'type': 'bool'},
            'endpoint_configuration': {'key': 'endpointConfiguration', 'type': 'ComputeNodeEndpointConfiguration'},
            'node_agent_info': {'key': 'nodeAgentInfo', 'type': 'NodeAgentInformation'},
        }

        def __init__(self, *, id: str=None, url: str=None, state=None, scheduling_state=None, state_transition_time=None, last_boot_time=None, allocation_time=None, ip_address: str=None, affinity_id: str=None, vm_size: str=None, total_tasks_run: int=None, running_tasks_count: int=None, total_tasks_succeeded: int=None, recent_tasks=None, start_task=None, start_task_info=None, certificate_references=None, errors=None, is_dedicated: bool=None, endpoint_configuration=None, node_agent_info=None, **kwargs) -> None:
            super(ComputeNode, self).__init__(**kwargs)
            self.id = id
            self.url = url
            self.state = state
            self.scheduling_state = scheduling_state
            self.state_transition_time = state_transition_time
            self.last_boot_time = last_boot_time
            self.allocation_time = allocation_time
            self.ip_address = ip_address
            self.affinity_id = affinity_id
            self.vm_size = vm_size
            self.total_tasks_run = total_tasks_run
            self.running_tasks_count = running_tasks_count
            self.total_tasks_succeeded = total_tasks_succeeded
            self.recent_tasks = recent_tasks
            self.start_task = start_task
            self.start_task_info = start_task_info
            self.certificate_references = certificate_references
            self.errors = errors
            self.is_dedicated = is_dedicated
            self.endpoint_configuration = endpoint_configuration
            self.node_agent_info = node_agent_info

    class ComputeNodeAddUserOptions(Model):
        """Additional parameters for add_user operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeAddUserOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeDeleteUserOptions(Model):
        """Additional parameters for delete_user operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeDeleteUserOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeDisableSchedulingOptions(Model):
        """Additional parameters for disable_scheduling operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeDisableSchedulingOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeEnableSchedulingOptions(Model):
        """Additional parameters for enable_scheduling operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeEnableSchedulingOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeEndpointConfiguration(Model):
        """The endpoint configuration for the Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param inbound_endpoints: Required. The list of inbound endpoints that are
         accessible on the Compute Node.
        :type inbound_endpoints: list[~azure.batch.models.InboundEndpoint]
        """

        _validation = {
            'inbound_endpoints': {'required': True},
        }

        _attribute_map = {
            'inbound_endpoints': {'key': 'inboundEndpoints', 'type': '[InboundEndpoint]'},
        }

        def __init__(self, *, inbound_endpoints, **kwargs) -> None:
            super(ComputeNodeEndpointConfiguration, self).__init__(**kwargs)
            self.inbound_endpoints = inbound_endpoints

    class ComputeNodeError(Model):
        """An error encountered by a Compute Node.

        :param code: An identifier for the Compute Node error. Codes are invariant
         and are intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the Compute Node error, intended to
         be suitable for display in a user interface.
        :type message: str
        :param error_details: The list of additional error details related to the
         Compute Node error.
        :type error_details: list[~azure.batch.models.NameValuePair]
        """

        _attribute_map = {
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'str'},
            'error_details': {'key': 'errorDetails', 'type': '[NameValuePair]'},
        }

        def __init__(self, *, code: str=None, message: str=None, error_details=None, **kwargs) -> None:
            super(ComputeNodeError, self).__init__(**kwargs)
            self.code = code
            self.message = message
            self.error_details = error_details

    class ComputeNodeGetOptions(Model):
        """Additional parameters for get operation.

        :param select: An OData $select clause.
        :type select: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeGetOptions, self).__init__(**kwargs)
            self.select = select
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeGetRemoteDesktopOptions(Model):
        """Additional parameters for get_remote_desktop operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeGetRemoteDesktopOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeGetRemoteLoginSettingsOptions(Model):
        """Additional parameters for get_remote_login_settings operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeGetRemoteLoginSettingsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeGetRemoteLoginSettingsResult(Model):
        """The remote login settings for a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param remote_login_ip_address: Required. The IP address used for remote
         login to the Compute Node.
        :type remote_login_ip_address: str
        :param remote_login_port: Required. The port used for remote login to the
         Compute Node.
        :type remote_login_port: int
        """

        _validation = {
            'remote_login_ip_address': {'required': True},
            'remote_login_port': {'required': True},
        }

        _attribute_map = {
            'remote_login_ip_address': {'key': 'remoteLoginIPAddress', 'type': 'str'},
            'remote_login_port': {'key': 'remoteLoginPort', 'type': 'int'},
        }

        def __init__(self, *, remote_login_ip_address: str, remote_login_port: int, **kwargs) -> None:
            super(ComputeNodeGetRemoteLoginSettingsResult, self).__init__(**kwargs)
            self.remote_login_ip_address = remote_login_ip_address
            self.remote_login_port = remote_login_port

    class ComputeNodeInformation(Model):
        """Information about the Compute Node on which a Task ran.

        :param affinity_id: An identifier for the Node on which the Task ran,
         which can be passed when adding a Task to request that the Task be
         scheduled on this Compute Node.
        :type affinity_id: str
        :param node_url: The URL of the Compute Node on which the Task ran. .
        :type node_url: str
        :param pool_id: The ID of the Pool on which the Task ran.
        :type pool_id: str
        :param node_id: The ID of the Compute Node on which the Task ran.
        :type node_id: str
        :param task_root_directory: The root directory of the Task on the Compute
         Node.
        :type task_root_directory: str
        :param task_root_directory_url: The URL to the root directory of the Task
         on the Compute Node.
        :type task_root_directory_url: str
        """

        _attribute_map = {
            'affinity_id': {'key': 'affinityId', 'type': 'str'},
            'node_url': {'key': 'nodeUrl', 'type': 'str'},
            'pool_id': {'key': 'poolId', 'type': 'str'},
            'node_id': {'key': 'nodeId', 'type': 'str'},
            'task_root_directory': {'key': 'taskRootDirectory', 'type': 'str'},
            'task_root_directory_url': {'key': 'taskRootDirectoryUrl', 'type': 'str'},
        }

        def __init__(self, *, affinity_id: str=None, node_url: str=None, pool_id: str=None, node_id: str=None, task_root_directory: str=None, task_root_directory_url: str=None, **kwargs) -> None:
            super(ComputeNodeInformation, self).__init__(**kwargs)
            self.affinity_id = affinity_id
            self.node_url = node_url
            self.pool_id = pool_id
            self.node_id = node_id
            self.task_root_directory = task_root_directory
            self.task_root_directory_url = task_root_directory_url

    class ComputeNodeListOptions(Model):
        """Additional parameters for list operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-nodes-in-a-pool.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Compute Nodes can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeListOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeRebootOptions(Model):
        """Additional parameters for reboot operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeRebootOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeReimageOptions(Model):
        """Additional parameters for reimage operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeReimageOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeUpdateUserOptions(Model):
        """Additional parameters for update_user operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeUpdateUserOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeUploadBatchServiceLogsOptions(Model):
        """Additional parameters for upload_batch_service_logs operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(ComputeNodeUploadBatchServiceLogsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class ComputeNodeUser(Model):
        """A user Account for RDP or SSH access on a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param name: Required. The user name of the Account.
        :type name: str
        :param is_admin: Whether the Account should be an administrator on the
         Compute Node. The default value is false.
        :type is_admin: bool
        :param expiry_time: The time at which the Account should expire. If
         omitted, the default is 1 day from the current time. For Linux Compute
         Nodes, the expiryTime has a precision up to a day.
        :type expiry_time: datetime
        :param password: The password of the Account. The password is required for
         Windows Compute Nodes (those created with 'cloudServiceConfiguration', or
         created with 'virtualMachineConfiguration' using a Windows Image
         reference). For Linux Compute Nodes, the password can optionally be
         specified along with the sshPublicKey property.
        :type password: str
        :param ssh_public_key: The SSH public key that can be used for remote
         login to the Compute Node. The public key should be compatible with
         OpenSSH encoding and should be base 64 encoded. This property can be
         specified only for Linux Compute Nodes. If this is specified for a Windows
         Compute Node, then the Batch service rejects the request; if you are
         calling the REST API directly, the HTTP status code is 400 (Bad Request).
        :type ssh_public_key: str
        """

        _validation = {
            'name': {'required': True},
        }

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'is_admin': {'key': 'isAdmin', 'type': 'bool'},
            'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
            'password': {'key': 'password', 'type': 'str'},
            'ssh_public_key': {'key': 'sshPublicKey', 'type': 'str'},
        }

        def __init__(self, *, name: str, is_admin: bool=None, expiry_time=None, password: str=None, ssh_public_key: str=None, **kwargs) -> None:
            super(ComputeNodeUser, self).__init__(**kwargs)
            self.name = name
            self.is_admin = is_admin
            self.expiry_time = expiry_time
            self.password = password
            self.ssh_public_key = ssh_public_key

    class ContainerConfiguration(Model):
        """The configuration for container-enabled Pools.

        Variables are only populated by the server, and will be ignored when
        sending a request.

        All required parameters must be populated in order to send to Azure.

        :ivar type: Required. The container technology to be used.  Default value:
         "dockerCompatible" .
        :vartype type: str
        :param container_image_names: The collection of container Image names.
         This is the full Image reference, as would be specified to "docker pull".
         An Image will be sourced from the default Docker registry unless the Image
         is fully qualified with an alternative registry.
        :type container_image_names: list[str]
        :param container_registries: Additional private registries from which
         containers can be pulled. If any Images must be downloaded from a private
         registry which requires credentials, then those credentials must be
         provided here.
        :type container_registries: list[~azure.batch.models.ContainerRegistry]
        """

        _validation = {
            'type': {'required': True, 'constant': True},
        }

        _attribute_map = {
            'type': {'key': 'type', 'type': 'str'},
            'container_image_names': {'key': 'containerImageNames', 'type': '[str]'},
            'container_registries': {'key': 'containerRegistries', 'type': '[ContainerRegistry]'},
        }

        type = "dockerCompatible"

        def __init__(self, *, container_image_names=None, container_registries=None, **kwargs) -> None:
            super(ContainerConfiguration, self).__init__(**kwargs)
            self.container_image_names = container_image_names
            self.container_registries = container_registries

    class ContainerRegistry(Model):
        """A private container registry.

        All required parameters must be populated in order to send to Azure.

        :param registry_server: The registry URL. If omitted, the default is
         "docker.io".
        :type registry_server: str
        :param user_name: Required. The user name to log into the registry server.
        :type user_name: str
        :param password: Required. The password to log into the registry server.
        :type password: str
        """

        _validation = {
            'user_name': {'required': True},
            'password': {'required': True},
        }

        _attribute_map = {
            'registry_server': {'key': 'registryServer', 'type': 'str'},
            'user_name': {'key': 'username', 'type': 'str'},
            'password': {'key': 'password', 'type': 'str'},
        }

        def __init__(self, *, user_name: str, password: str, registry_server: str=None, **kwargs) -> None:
            super(ContainerRegistry, self).__init__(**kwargs)
            self.registry_server = registry_server
            self.user_name = user_name
            self.password = password

    class DataDisk(Model):
        """Settings which will be used by the data disks associated to Compute Nodes
        in the Pool. When using attached data disks, you need to mount and format
        the disks from within a VM to use them.

        All required parameters must be populated in order to send to Azure.

        :param lun: Required. The logical unit number. The lun is used to uniquely
         identify each data disk. If attaching multiple disks, each should have a
         distinct lun.
        :type lun: int
        :param caching: The type of caching to be enabled for the data disks. The
         default value for caching is readwrite. For information about the caching
         options see:
         https://blogs.msdn.microsoft.com/windowsazurestorage/2012/06/27/exploring-windows-azure-drives-disks-and-images/.
         Possible values include: 'none', 'readOnly', 'readWrite'
        :type caching: str or ~azure.batch.models.CachingType
        :param disk_size_gb: Required. The initial disk size in gigabytes.
        :type disk_size_gb: int
        :param storage_account_type: The storage Account type to be used for the
         data disk. If omitted, the default is "standard_lrs". Possible values
         include: 'StandardLRS', 'PremiumLRS'
        :type storage_account_type: str or ~azure.batch.models.StorageAccountType
        """

        _validation = {
            'lun': {'required': True},
            'disk_size_gb': {'required': True},
        }

        _attribute_map = {
            'lun': {'key': 'lun', 'type': 'int'},
            'caching': {'key': 'caching', 'type': 'CachingType'},
            'disk_size_gb': {'key': 'diskSizeGB', 'type': 'int'},
            'storage_account_type': {'key': 'storageAccountType', 'type': 'StorageAccountType'},
        }

        def __init__(self, *, lun: int, disk_size_gb: int, caching=None, storage_account_type=None, **kwargs) -> None:
            super(DataDisk, self).__init__(**kwargs)
            self.lun = lun
            self.caching = caching
            self.disk_size_gb = disk_size_gb
            self.storage_account_type = storage_account_type

    class DeleteCertificateError(Model):
        """An error encountered by the Batch service when deleting a Certificate.

        :param code: An identifier for the Certificate deletion error. Codes are
         invariant and are intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the Certificate deletion error,
         intended to be suitable for display in a user interface.
        :type message: str
        :param values: A list of additional error details related to the
         Certificate deletion error. This list includes details such as the active
         Pools and Compute Nodes referencing this Certificate. However, if a large
         number of resources reference the Certificate, the list contains only
         about the first hundred.
        :type values: list[~azure.batch.models.NameValuePair]
        """

        _attribute_map = {
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'str'},
            'values': {'key': 'values', 'type': '[NameValuePair]'},
        }

        def __init__(self, *, code: str=None, message: str=None, values=None, **kwargs) -> None:
            super(DeleteCertificateError, self).__init__(**kwargs)
            self.code = code
            self.message = message
            self.values = values

    class EnvironmentSetting(Model):
        """An environment variable to be set on a Task process.

        All required parameters must be populated in order to send to Azure.

        :param name: Required. The name of the environment variable.
        :type name: str
        :param value: The value of the environment variable.
        :type value: str
        """

        _validation = {
            'name': {'required': True},
        }

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'value': {'key': 'value', 'type': 'str'},
        }

        def __init__(self, *, name: str, value: str=None, **kwargs) -> None:
            super(EnvironmentSetting, self).__init__(**kwargs)
            self.name = name
            self.value = value

    class ErrorMessage(Model):
        """An error message received in an Azure Batch error response.

        :param lang: The language code of the error message.
        :type lang: str
        :param value: The text of the message.
        :type value: str
        """

        _attribute_map = {
            'lang': {'key': 'lang', 'type': 'str'},
            'value': {'key': 'value', 'type': 'str'},
        }

        def __init__(self, *, lang: str=None, value: str=None, **kwargs) -> None:
            super(ErrorMessage, self).__init__(**kwargs)
            self.lang = lang
            self.value = value

    class ExitCodeMapping(Model):
        """How the Batch service should respond if a Task exits with a particular exit
        code.

        All required parameters must be populated in order to send to Azure.

        :param code: Required. A process exit code.
        :type code: int
        :param exit_options: Required. How the Batch service should respond if the
         Task exits with this exit code.
        :type exit_options: ~azure.batch.models.ExitOptions
        """

        _validation = {
            'code': {'required': True},
            'exit_options': {'required': True},
        }

        _attribute_map = {
            'code': {'key': 'code', 'type': 'int'},
            'exit_options': {'key': 'exitOptions', 'type': 'ExitOptions'},
        }

        def __init__(self, *, code: int, exit_options, **kwargs) -> None:
            super(ExitCodeMapping, self).__init__(**kwargs)
            self.code = code
            self.exit_options = exit_options

    class ExitCodeRangeMapping(Model):
        """A range of exit codes and how the Batch service should respond to exit
        codes within that range.

        All required parameters must be populated in order to send to Azure.

        :param start: Required. The first exit code in the range.
        :type start: int
        :param end: Required. The last exit code in the range.
        :type end: int
        :param exit_options: Required. How the Batch service should respond if the
         Task exits with an exit code in the range start to end (inclusive).
        :type exit_options: ~azure.batch.models.ExitOptions
        """

        _validation = {
            'start': {'required': True},
            'end': {'required': True},
            'exit_options': {'required': True},
        }

        _attribute_map = {
            'start': {'key': 'start', 'type': 'int'},
            'end': {'key': 'end', 'type': 'int'},
            'exit_options': {'key': 'exitOptions', 'type': 'ExitOptions'},
        }

        def __init__(self, *, start: int, end: int, exit_options, **kwargs) -> None:
            super(ExitCodeRangeMapping, self).__init__(**kwargs)
            self.start = start
            self.end = end
            self.exit_options = exit_options

    class ExitConditions(Model):
        """Specifies how the Batch service should respond when the Task completes.

        :param exit_codes: A list of individual Task exit codes and how the Batch
         service should respond to them.
        :type exit_codes: list[~azure.batch.models.ExitCodeMapping]
        :param exit_code_ranges: A list of Task exit code ranges and how the Batch
         service should respond to them.
        :type exit_code_ranges: list[~azure.batch.models.ExitCodeRangeMapping]
        :param pre_processing_error: How the Batch service should respond if the
         Task fails to start due to an error.
        :type pre_processing_error: ~azure.batch.models.ExitOptions
        :param file_upload_error: How the Batch service should respond if a file
         upload error occurs. If the Task exited with an exit code that was
         specified via exitCodes or exitCodeRanges, and then encountered a file
         upload error, then the action specified by the exit code takes precedence.
        :type file_upload_error: ~azure.batch.models.ExitOptions
        :param default: How the Batch service should respond if the Task fails
         with an exit condition not covered by any of the other properties. This
         value is used if the Task exits with any nonzero exit code not listed in
         the exitCodes or exitCodeRanges collection, with a pre-processing error if
         the preProcessingError property is not present, or with a file upload
         error if the fileUploadError property is not present. If you want
         non-default behavior on exit code 0, you must list it explicitly using the
         exitCodes or exitCodeRanges collection.
        :type default: ~azure.batch.models.ExitOptions
        """

        _attribute_map = {
            'exit_codes': {'key': 'exitCodes', 'type': '[ExitCodeMapping]'},
            'exit_code_ranges': {'key': 'exitCodeRanges', 'type': '[ExitCodeRangeMapping]'},
            'pre_processing_error': {'key': 'preProcessingError', 'type': 'ExitOptions'},
            'file_upload_error': {'key': 'fileUploadError', 'type': 'ExitOptions'},
            'default': {'key': 'default', 'type': 'ExitOptions'},
        }

        def __init__(self, *, exit_codes=None, exit_code_ranges=None, pre_processing_error=None, file_upload_error=None, default=None, **kwargs) -> None:
            super(ExitConditions, self).__init__(**kwargs)
            self.exit_codes = exit_codes
            self.exit_code_ranges = exit_code_ranges
            self.pre_processing_error = pre_processing_error
            self.file_upload_error = file_upload_error
            self.default = default

    class ExitOptions(Model):
        """Specifies how the Batch service responds to a particular exit condition.

        :param job_action: An action to take on the Job containing the Task, if
         the Task completes with the given exit condition and the Job's
         onTaskFailed property is 'performExitOptionsJobAction'. The default is
         none for exit code 0 and terminate for all other exit conditions. If the
         Job's onTaskFailed property is noaction, then specifying this property
         returns an error and the add Task request fails with an invalid property
         value error; if you are calling the REST API directly, the HTTP status
         code is 400 (Bad Request). Possible values include: 'none', 'disable',
         'terminate'
        :type job_action: str or ~azure.batch.models.JobAction
        :param dependency_action: An action that the Batch service performs on
         Tasks that depend on this Task. Possible values are 'satisfy' (allowing
         dependent tasks to progress) and 'block' (dependent tasks continue to
         wait). Batch does not yet support cancellation of dependent tasks.
         Possible values include: 'satisfy', 'block'
        :type dependency_action: str or ~azure.batch.models.DependencyAction
        """

        _attribute_map = {
            'job_action': {'key': 'jobAction', 'type': 'JobAction'},
            'dependency_action': {'key': 'dependencyAction', 'type': 'DependencyAction'},
        }

        def __init__(self, *, job_action=None, dependency_action=None, **kwargs) -> None:
            super(ExitOptions, self).__init__(**kwargs)
            self.job_action = job_action
            self.dependency_action = dependency_action

    class FileDeleteFromComputeNodeOptions(Model):
        """Additional parameters for delete_from_compute_node operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(FileDeleteFromComputeNodeOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class FileDeleteFromTaskOptions(Model):
        """Additional parameters for delete_from_task operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(FileDeleteFromTaskOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class FileGetFromComputeNodeOptions(Model):
        """Additional parameters for get_from_compute_node operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param ocp_range: The byte range to be retrieved. The default is to
         retrieve the entire file. The format is bytes=startRange-endRange.
        :type ocp_range: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'ocp_range': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, ocp_range: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(FileGetFromComputeNodeOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.ocp_range = ocp_range
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class FileGetFromTaskOptions(Model):
        """Additional parameters for get_from_task operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param ocp_range: The byte range to be retrieved. The default is to
         retrieve the entire file. The format is bytes=startRange-endRange.
        :type ocp_range: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'ocp_range': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, ocp_range: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(FileGetFromTaskOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.ocp_range = ocp_range
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class FileGetPropertiesFromComputeNodeOptions(Model):
        """Additional parameters for get_properties_from_compute_node operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(FileGetPropertiesFromComputeNodeOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class FileGetPropertiesFromTaskOptions(Model):
        """Additional parameters for get_properties_from_task operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(FileGetPropertiesFromTaskOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class FileListFromComputeNodeOptions(Model):
        """Additional parameters for list_from_compute_node operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-compute-node-files.
        :type filter: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 files can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(FileListFromComputeNodeOptions, self).__init__(**kwargs)
            self.filter = filter
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class FileListFromTaskOptions(Model):
        """Additional parameters for list_from_task operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-task-files.
        :type filter: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 files can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(FileListFromTaskOptions, self).__init__(**kwargs)
            self.filter = filter
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class FileProperties(Model):
        """The properties of a file on a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param creation_time: The file creation time. The creation time is not
         returned for files on Linux Compute Nodes.
        :type creation_time: datetime
        :param last_modified: Required. The time at which the file was last
         modified.
        :type last_modified: datetime
        :param content_length: Required. The length of the file.
        :type content_length: long
        :param content_type: The content type of the file.
        :type content_type: str
        :param file_mode: The file mode attribute in octal format. The file mode
         is returned only for files on Linux Compute Nodes.
        :type file_mode: str
        """

        _validation = {
            'last_modified': {'required': True},
            'content_length': {'required': True},
        }

        _attribute_map = {
            'creation_time': {'key': 'creationTime', 'type': 'iso-8601'},
            'last_modified': {'key': 'lastModified', 'type': 'iso-8601'},
            'content_length': {'key': 'contentLength', 'type': 'long'},
            'content_type': {'key': 'contentType', 'type': 'str'},
            'file_mode': {'key': 'fileMode', 'type': 'str'},
        }

        def __init__(self, *, last_modified, content_length: int, creation_time=None, content_type: str=None, file_mode: str=None, **kwargs) -> None:
            super(FileProperties, self).__init__(**kwargs)
            self.creation_time = creation_time
            self.last_modified = last_modified
            self.content_length = content_length
            self.content_type = content_type
            self.file_mode = file_mode

    class ImageInformation(Model):
        """A reference to the Azure Virtual Machines Marketplace Image and additional
        information about the Image.

        All required parameters must be populated in order to send to Azure.

        :param node_agent_sku_id: Required. The ID of the Compute Node agent SKU
         which the Image supports.
        :type node_agent_sku_id: str
        :param image_reference: Required. The reference to the Azure Virtual
         Machine's Marketplace Image.
        :type image_reference: ~azure.batch.models.ImageReference
        :param os_type: Required. The type of operating system (e.g. Windows or
         Linux) of the Image. Possible values include: 'linux', 'windows'
        :type os_type: str or ~azure.batch.models.OSType
        :param capabilities: The capabilities or features which the Image
         supports. Not every capability of the Image is listed. Capabilities in
         this list are considered of special interest and are generally related to
         integration with other features in the Azure Batch service.
        :type capabilities: list[str]
        :param batch_support_end_of_life: The time when the Azure Batch service
         will stop accepting create Pool requests for the Image.
        :type batch_support_end_of_life: datetime
        :param verification_type: Required. Whether the Azure Batch service
         actively verifies that the Image is compatible with the associated Compute
         Node agent SKU. Possible values include: 'verified', 'unverified'
        :type verification_type: str or ~azure.batch.models.VerificationType
        """

        _validation = {
            'node_agent_sku_id': {'required': True},
            'image_reference': {'required': True},
            'os_type': {'required': True},
            'verification_type': {'required': True},
        }

        _attribute_map = {
            'node_agent_sku_id': {'key': 'nodeAgentSKUId', 'type': 'str'},
            'image_reference': {'key': 'imageReference', 'type': 'ImageReference'},
            'os_type': {'key': 'osType', 'type': 'OSType'},
            'capabilities': {'key': 'capabilities', 'type': '[str]'},
            'batch_support_end_of_life': {'key': 'batchSupportEndOfLife', 'type': 'iso-8601'},
            'verification_type': {'key': 'verificationType', 'type': 'VerificationType'},
        }

        def __init__(self, *, node_agent_sku_id: str, image_reference, os_type, verification_type, capabilities=None, batch_support_end_of_life=None, **kwargs) -> None:
            super(ImageInformation, self).__init__(**kwargs)
            self.node_agent_sku_id = node_agent_sku_id
            self.image_reference = image_reference
            self.os_type = os_type
            self.capabilities = capabilities
            self.batch_support_end_of_life = batch_support_end_of_life
            self.verification_type = verification_type

    class ImageReference(Model):
        """A reference to an Azure Virtual Machines Marketplace Image or a custom
        Azure Virtual Machine Image. To get the list of all Azure Marketplace Image
        references verified by Azure Batch, see the 'List supported Images'
        operation.

        :param publisher: The publisher of the Azure Virtual Machines Marketplace
         Image. For example, Canonical or MicrosoftWindowsServer.
        :type publisher: str
        :param offer: The offer type of the Azure Virtual Machines Marketplace
         Image. For example, UbuntuServer or WindowsServer.
        :type offer: str
        :param sku: The SKU of the Azure Virtual Machines Marketplace Image. For
         example, 18.04-LTS or 2019-Datacenter.
        :type sku: str
        :param version: The version of the Azure Virtual Machines Marketplace
         Image. A value of 'latest' can be specified to select the latest version
         of an Image. If omitted, the default is 'latest'.
        :type version: str
        :param virtual_machine_image_id: The ARM resource identifier of the
         Virtual Machine Image or Shared Image Gallery Image. Computes Compute
         Nodes of the Pool will be created using this Image Id. This is of either
         the form
         /subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.Compute/images/{imageName}
         for Virtual Machine Image or
         /subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.Compute/galleries/{galleryName}/images/{imageDefinitionName}/versions/{versionId}
         for SIG image. This property is mutually exclusive with other
         ImageReference properties. For Virtual Machine Image it must be in the
         same region and subscription as the Azure Batch account. For SIG image it
         must have replicas in the same region as the Azure Batch account. For
         information about the firewall settings for the Batch Compute Node agent
         to communicate with the Batch service see
         https://docs.microsoft.com/en-us/azure/batch/batch-api-basics#virtual-network-vnet-and-firewall-configuration.
        :type virtual_machine_image_id: str
        """

        _attribute_map = {
            'publisher': {'key': 'publisher', 'type': 'str'},
            'offer': {'key': 'offer', 'type': 'str'},
            'sku': {'key': 'sku', 'type': 'str'},
            'version': {'key': 'version', 'type': 'str'},
            'virtual_machine_image_id': {'key': 'virtualMachineImageId', 'type': 'str'},
        }

        def __init__(self, *, publisher: str=None, offer: str=None, sku: str=None, version: str=None, virtual_machine_image_id: str=None, **kwargs) -> None:
            super(ImageReference, self).__init__(**kwargs)
            self.publisher = publisher
            self.offer = offer
            self.sku = sku
            self.version = version
            self.virtual_machine_image_id = virtual_machine_image_id

    class InboundEndpoint(Model):
        """An inbound endpoint on a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param name: Required. The name of the endpoint.
        :type name: str
        :param protocol: Required. The protocol of the endpoint. Possible values
         include: 'tcp', 'udp'
        :type protocol: str or ~azure.batch.models.InboundEndpointProtocol
        :param public_ip_address: Required. The public IP address of the Compute
         Node.
        :type public_ip_address: str
        :param public_fqdn: Required. The public fully qualified domain name for
         the Compute Node.
        :type public_fqdn: str
        :param frontend_port: Required. The public port number of the endpoint.
        :type frontend_port: int
        :param backend_port: Required. The backend port number of the endpoint.
        :type backend_port: int
        """

        _validation = {
            'name': {'required': True},
            'protocol': {'required': True},
            'public_ip_address': {'required': True},
            'public_fqdn': {'required': True},
            'frontend_port': {'required': True},
            'backend_port': {'required': True},
        }

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'protocol': {'key': 'protocol', 'type': 'InboundEndpointProtocol'},
            'public_ip_address': {'key': 'publicIPAddress', 'type': 'str'},
            'public_fqdn': {'key': 'publicFQDN', 'type': 'str'},
            'frontend_port': {'key': 'frontendPort', 'type': 'int'},
            'backend_port': {'key': 'backendPort', 'type': 'int'},
        }

        def __init__(self, *, name: str, protocol, public_ip_address: str, public_fqdn: str, frontend_port: int, backend_port: int, **kwargs) -> None:
            super(InboundEndpoint, self).__init__(**kwargs)
            self.name = name
            self.protocol = protocol
            self.public_ip_address = public_ip_address
            self.public_fqdn = public_fqdn
            self.frontend_port = frontend_port
            self.backend_port = backend_port

    class InboundNATPool(Model):
        """A inbound NAT Pool that can be used to address specific ports on Compute
        Nodes in a Batch Pool externally.

        All required parameters must be populated in order to send to Azure.

        :param name: Required. The name of the endpoint. The name must be unique
         within a Batch Pool, can contain letters, numbers, underscores, periods,
         and hyphens. Names must start with a letter or number, must end with a
         letter, number, or underscore, and cannot exceed 77 characters.  If any
         invalid values are provided the request fails with HTTP status code 400.
        :type name: str
        :param protocol: Required. The protocol of the endpoint. Possible values
         include: 'tcp', 'udp'
        :type protocol: str or ~azure.batch.models.InboundEndpointProtocol
        :param backend_port: Required. The port number on the Compute Node. This
         must be unique within a Batch Pool. Acceptable values are between 1 and
         65535 except for 22, 3389, 29876 and 29877 as these are reserved. If any
         reserved values are provided the request fails with HTTP status code 400.
        :type backend_port: int
        :param frontend_port_range_start: Required. The first port number in the
         range of external ports that will be used to provide inbound access to the
         backendPort on individual Compute Nodes. Acceptable values range between 1
         and 65534 except ports from 50000 to 55000 which are reserved. All ranges
         within a Pool must be distinct and cannot overlap. Each range must contain
         at least 40 ports. If any reserved or overlapping values are provided the
         request fails with HTTP status code 400.
        :type frontend_port_range_start: int
        :param frontend_port_range_end: Required. The last port number in the
         range of external ports that will be used to provide inbound access to the
         backendPort on individual Compute Nodes. Acceptable values range between 1
         and 65534 except ports from 50000 to 55000 which are reserved by the Batch
         service. All ranges within a Pool must be distinct and cannot overlap.
         Each range must contain at least 40 ports. If any reserved or overlapping
         values are provided the request fails with HTTP status code 400.
        :type frontend_port_range_end: int
        :param network_security_group_rules: A list of network security group
         rules that will be applied to the endpoint. The maximum number of rules
         that can be specified across all the endpoints on a Batch Pool is 25. If
         no network security group rules are specified, a default rule will be
         created to allow inbound access to the specified backendPort. If the
         maximum number of network security group rules is exceeded the request
         fails with HTTP status code 400.
        :type network_security_group_rules:
         list[~azure.batch.models.NetworkSecurityGroupRule]
        """

        _validation = {
            'name': {'required': True},
            'protocol': {'required': True},
            'backend_port': {'required': True},
            'frontend_port_range_start': {'required': True},
            'frontend_port_range_end': {'required': True},
        }

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'protocol': {'key': 'protocol', 'type': 'InboundEndpointProtocol'},
            'backend_port': {'key': 'backendPort', 'type': 'int'},
            'frontend_port_range_start': {'key': 'frontendPortRangeStart', 'type': 'int'},
            'frontend_port_range_end': {'key': 'frontendPortRangeEnd', 'type': 'int'},
            'network_security_group_rules': {'key': 'networkSecurityGroupRules', 'type': '[NetworkSecurityGroupRule]'},
        }

        def __init__(self, *, name: str, protocol, backend_port: int, frontend_port_range_start: int, frontend_port_range_end: int, network_security_group_rules=None, **kwargs) -> None:
            super(InboundNATPool, self).__init__(**kwargs)
            self.name = name
            self.protocol = protocol
            self.backend_port = backend_port
            self.frontend_port_range_start = frontend_port_range_start
            self.frontend_port_range_end = frontend_port_range_end
            self.network_security_group_rules = network_security_group_rules

    class JobAddOptions(Model):
        """Additional parameters for add operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobAddOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobAddParameter(Model):
        """An Azure Batch Job to add.

        All required parameters must be populated in order to send to Azure.

        :param id: Required. A string that uniquely identifies the Job within the
         Account. The ID can contain any combination of alphanumeric characters
         including hyphens and underscores, and cannot contain more than 64
         characters. The ID is case-preserving and case-insensitive (that is, you
         may not have two IDs within an Account that differ only by case).
        :type id: str
        :param display_name: The display name for the Job. The display name need
         not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param priority: The priority of the Job. Priority values can range from
         -1000 to 1000, with -1000 being the lowest priority and 1000 being the
         highest priority. The default value is 0.
        :type priority: int
        :param constraints: The execution constraints for the Job.
        :type constraints: ~azure.batch.models.JobConstraints
        :param job_manager_task: Details of a Job Manager Task to be launched when
         the Job is started. If the Job does not specify a Job Manager Task, the
         user must explicitly add Tasks to the Job. If the Job does specify a Job
         Manager Task, the Batch service creates the Job Manager Task when the Job
         is created, and will try to schedule the Job Manager Task before
         scheduling other Tasks in the Job. The Job Manager Task's typical purpose
         is to control and/or monitor Job execution, for example by deciding what
         additional Tasks to run, determining when the work is complete, etc.
         (However, a Job Manager Task is not restricted to these activities - it is
         a fully-fledged Task in the system and perform whatever actions are
         required for the Job.) For example, a Job Manager Task might download a
         file specified as a parameter, analyze the contents of that file and
         submit additional Tasks based on those contents.
        :type job_manager_task: ~azure.batch.models.JobManagerTask
        :param job_preparation_task: The Job Preparation Task. If a Job has a Job
         Preparation Task, the Batch service will run the Job Preparation Task on a
         Node before starting any Tasks of that Job on that Compute Node.
        :type job_preparation_task: ~azure.batch.models.JobPreparationTask
        :param job_release_task: The Job Release Task. A Job Release Task cannot
         be specified without also specifying a Job Preparation Task for the Job.
         The Batch service runs the Job Release Task on the Nodes that have run the
         Job Preparation Task. The primary purpose of the Job Release Task is to
         undo changes to Compute Nodes made by the Job Preparation Task. Example
         activities include deleting local files, or shutting down services that
         were started as part of Job preparation.
        :type job_release_task: ~azure.batch.models.JobReleaseTask
        :param common_environment_settings: The list of common environment
         variable settings. These environment variables are set for all Tasks in
         the Job (including the Job Manager, Job Preparation and Job Release
         Tasks). Individual Tasks can override an environment setting specified
         here by specifying the same setting name with a different value.
        :type common_environment_settings:
         list[~azure.batch.models.EnvironmentSetting]
        :param pool_info: Required. The Pool on which the Batch service runs the
         Job's Tasks.
        :type pool_info: ~azure.batch.models.PoolInformation
        :param on_all_tasks_complete: The action the Batch service should take
         when all Tasks in the Job are in the completed state. Note that if a Job
         contains no Tasks, then all Tasks are considered complete. This option is
         therefore most commonly used with a Job Manager task; if you want to use
         automatic Job termination without a Job Manager, you should initially set
         onAllTasksComplete to noaction and update the Job properties to set
         onAllTasksComplete to terminatejob once you have finished adding Tasks.
         The default is noaction. Possible values include: 'noAction',
         'terminateJob'
        :type on_all_tasks_complete: str or ~azure.batch.models.OnAllTasksComplete
        :param on_task_failure: The action the Batch service should take when any
         Task in the Job fails. A Task is considered to have failed if has a
         failureInfo. A failureInfo is set if the Task completes with a non-zero
         exit code after exhausting its retry count, or if there was an error
         starting the Task, for example due to a resource file download error. The
         default is noaction. Possible values include: 'noAction',
         'performExitOptionsJobAction'
        :type on_task_failure: str or ~azure.batch.models.OnTaskFailure
        :param metadata: A list of name-value pairs associated with the Job as
         metadata. The Batch service does not assign any meaning to metadata; it is
         solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param uses_task_dependencies: Whether Tasks in the Job can define
         dependencies on each other. The default is false.
        :type uses_task_dependencies: bool
        :param network_configuration: The network configuration for the Job.
        :type network_configuration: ~azure.batch.models.JobNetworkConfiguration
        """

        _validation = {
            'id': {'required': True},
            'pool_info': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'priority': {'key': 'priority', 'type': 'int'},
            'constraints': {'key': 'constraints', 'type': 'JobConstraints'},
            'job_manager_task': {'key': 'jobManagerTask', 'type': 'JobManagerTask'},
            'job_preparation_task': {'key': 'jobPreparationTask', 'type': 'JobPreparationTask'},
            'job_release_task': {'key': 'jobReleaseTask', 'type': 'JobReleaseTask'},
            'common_environment_settings': {'key': 'commonEnvironmentSettings', 'type': '[EnvironmentSetting]'},
            'pool_info': {'key': 'poolInfo', 'type': 'PoolInformation'},
            'on_all_tasks_complete': {'key': 'onAllTasksComplete', 'type': 'OnAllTasksComplete'},
            'on_task_failure': {'key': 'onTaskFailure', 'type': 'OnTaskFailure'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'uses_task_dependencies': {'key': 'usesTaskDependencies', 'type': 'bool'},
            'network_configuration': {'key': 'networkConfiguration', 'type': 'JobNetworkConfiguration'},
        }

        def __init__(self, *, id: str, pool_info, display_name: str=None, priority: int=None, constraints=None, job_manager_task=None, job_preparation_task=None, job_release_task=None, common_environment_settings=None, on_all_tasks_complete=None, on_task_failure=None, metadata=None, uses_task_dependencies: bool=None, network_configuration=None, **kwargs) -> None:
            super(JobAddParameter, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.priority = priority
            self.constraints = constraints
            self.job_manager_task = job_manager_task
            self.job_preparation_task = job_preparation_task
            self.job_release_task = job_release_task
            self.common_environment_settings = common_environment_settings
            self.pool_info = pool_info
            self.on_all_tasks_complete = on_all_tasks_complete
            self.on_task_failure = on_task_failure
            self.metadata = metadata
            self.uses_task_dependencies = uses_task_dependencies
            self.network_configuration = network_configuration

    class JobConstraints(Model):
        """The execution constraints for a Job.

        :param max_wall_clock_time: The maximum elapsed time that the Job may run,
         measured from the time the Job is created. If the Job does not complete
         within the time limit, the Batch service terminates it and any Tasks that
         are still running. In this case, the termination reason will be
         MaxWallClockTimeExpiry. If this property is not specified, there is no
         time limit on how long the Job may run.
        :type max_wall_clock_time: timedelta
        :param max_task_retry_count: The maximum number of times each Task may be
         retried. The Batch service retries a Task if its exit code is nonzero.
         Note that this value specifically controls the number of retries. The
         Batch service will try each Task once, and may then retry up to this
         limit. For example, if the maximum retry count is 3, Batch tries a Task up
         to 4 times (one initial try and 3 retries). If the maximum retry count is
         0, the Batch service does not retry Tasks. If the maximum retry count is
         -1, the Batch service retries Tasks without limit. The default value is 0
         (no retries).
        :type max_task_retry_count: int
        """

        _attribute_map = {
            'max_wall_clock_time': {'key': 'maxWallClockTime', 'type': 'duration'},
            'max_task_retry_count': {'key': 'maxTaskRetryCount', 'type': 'int'},
        }

        def __init__(self, *, max_wall_clock_time=None, max_task_retry_count: int=None, **kwargs) -> None:
            super(JobConstraints, self).__init__(**kwargs)
            self.max_wall_clock_time = max_wall_clock_time
            self.max_task_retry_count = max_task_retry_count

    class JobDeleteOptions(Model):
        """Additional parameters for delete operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobDeleteOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobDisableOptions(Model):
        """Additional parameters for disable operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobDisableOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobDisableParameter(Model):
        """Options when disabling a Job.

        All required parameters must be populated in order to send to Azure.

        :param disable_tasks: Required. What to do with active Tasks associated
         with the Job. Possible values include: 'requeue', 'terminate', 'wait'
        :type disable_tasks: str or ~azure.batch.models.DisableJobOption
        """

        _validation = {
            'disable_tasks': {'required': True},
        }

        _attribute_map = {
            'disable_tasks': {'key': 'disableTasks', 'type': 'DisableJobOption'},
        }

        def __init__(self, *, disable_tasks, **kwargs) -> None:
            super(JobDisableParameter, self).__init__(**kwargs)
            self.disable_tasks = disable_tasks

    class JobEnableOptions(Model):
        """Additional parameters for enable operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobEnableOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobExecutionInformation(Model):
        """Contains information about the execution of a Job in the Azure Batch
        service.

        All required parameters must be populated in order to send to Azure.

        :param start_time: Required. The start time of the Job. This is the time
         at which the Job was created.
        :type start_time: datetime
        :param end_time: The completion time of the Job. This property is set only
         if the Job is in the completed state.
        :type end_time: datetime
        :param pool_id: The ID of the Pool to which this Job is assigned. This
         element contains the actual Pool where the Job is assigned. When you get
         Job details from the service, they also contain a poolInfo element, which
         contains the Pool configuration data from when the Job was added or
         updated. That poolInfo element may also contain a poolId element. If it
         does, the two IDs are the same. If it does not, it means the Job ran on an
         auto Pool, and this property contains the ID of that auto Pool.
        :type pool_id: str
        :param scheduling_error: Details of any error encountered by the service
         in starting the Job. This property is not set if there was no error
         starting the Job.
        :type scheduling_error: ~azure.batch.models.JobSchedulingError
        :param terminate_reason: A string describing the reason the Job ended.
         This property is set only if the Job is in the completed state. If the
         Batch service terminates the Job, it sets the reason as follows:
         JMComplete - the Job Manager Task completed, and killJobOnCompletion was
         set to true. MaxWallClockTimeExpiry - the Job reached its maxWallClockTime
         constraint. TerminateJobSchedule - the Job ran as part of a schedule, and
         the schedule terminated. AllTasksComplete - the Job's onAllTasksComplete
         attribute is set to terminatejob, and all Tasks in the Job are complete.
         TaskFailed - the Job's onTaskFailure attribute is set to
         performExitOptionsJobAction, and a Task in the Job failed with an exit
         condition that specified a jobAction of terminatejob. Any other string is
         a user-defined reason specified in a call to the 'Terminate a Job'
         operation.
        :type terminate_reason: str
        """

        _validation = {
            'start_time': {'required': True},
        }

        _attribute_map = {
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'pool_id': {'key': 'poolId', 'type': 'str'},
            'scheduling_error': {'key': 'schedulingError', 'type': 'JobSchedulingError'},
            'terminate_reason': {'key': 'terminateReason', 'type': 'str'},
        }

        def __init__(self, *, start_time, end_time=None, pool_id: str=None, scheduling_error=None, terminate_reason: str=None, **kwargs) -> None:
            super(JobExecutionInformation, self).__init__(**kwargs)
            self.start_time = start_time
            self.end_time = end_time
            self.pool_id = pool_id
            self.scheduling_error = scheduling_error
            self.terminate_reason = terminate_reason

    class JobGetAllLifetimeStatisticsOptions(Model):
        """Additional parameters for get_all_lifetime_statistics operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobGetAllLifetimeStatisticsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobGetOptions(Model):
        """Additional parameters for get operation.

        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, expand: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobGetOptions, self).__init__(**kwargs)
            self.select = select
            self.expand = expand
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobGetTaskCountsOptions(Model):
        """Additional parameters for get_task_counts operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobGetTaskCountsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobListFromJobScheduleOptions(Model):
        """Additional parameters for list_from_job_schedule operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-jobs-in-a-job-schedule.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Jobs can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, expand: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobListFromJobScheduleOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.expand = expand
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobListOptions(Model):
        """Additional parameters for list operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-jobs.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Jobs can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, expand: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobListOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.expand = expand
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobListPreparationAndReleaseTaskStatusOptions(Model):
        """Additional parameters for list_preparation_and_release_task_status
        operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-job-preparation-and-release-status.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Tasks can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobListPreparationAndReleaseTaskStatusOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobManagerTask(Model):
        """Specifies details of a Job Manager Task.

        The Job Manager Task is automatically started when the Job is created. The
        Batch service tries to schedule the Job Manager Task before any other Tasks
        in the Job. When shrinking a Pool, the Batch service tries to preserve
        Nodes where Job Manager Tasks are running for as long as possible (that is,
        Compute Nodes running 'normal' Tasks are removed before Compute Nodes
        running Job Manager Tasks). When a Job Manager Task fails and needs to be
        restarted, the system tries to schedule it at the highest priority. If
        there are no idle Compute Nodes available, the system may terminate one of
        the running Tasks in the Pool and return it to the queue in order to make
        room for the Job Manager Task to restart. Note that a Job Manager Task in
        one Job does not have priority over Tasks in other Jobs. Across Jobs, only
        Job level priorities are observed. For example, if a Job Manager in a
        priority 0 Job needs to be restarted, it will not displace Tasks of a
        priority 1 Job. Batch will retry Tasks when a recovery operation is
        triggered on a Node. Examples of recovery operations include (but are not
        limited to) when an unhealthy Node is rebooted or a Compute Node
        disappeared due to host failure. Retries due to recovery operations are
        independent of and are not counted against the maxTaskRetryCount. Even if
        the maxTaskRetryCount is 0, an internal retry due to a recovery operation
        may occur. Because of this, all Tasks should be idempotent. This means
        Tasks need to tolerate being interrupted and restarted without causing any
        corruption or duplicate data. The best practice for long running Tasks is
        to use some form of checkpointing.

        All required parameters must be populated in order to send to Azure.

        :param id: Required. A string that uniquely identifies the Job Manager
         Task within the Job. The ID can contain any combination of alphanumeric
         characters including hyphens and underscores and cannot contain more than
         64 characters.
        :type id: str
        :param display_name: The display name of the Job Manager Task. It need not
         be unique and can contain any Unicode characters up to a maximum length of
         1024.
        :type display_name: str
        :param command_line: Required. The command line of the Job Manager Task.
         The command line does not run under a shell, and therefore cannot take
         advantage of shell features such as environment variable expansion. If you
         want to take advantage of such features, you should invoke the shell in
         the command line, for example using "cmd /c MyCommand" in Windows or
         "/bin/sh -c MyCommand" in Linux. If the command line refers to file paths,
         it should use a relative path (relative to the Task working directory), or
         use the Batch provided environment variable
         (https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
        :type command_line: str
        :param container_settings: The settings for the container under which the
         Job Manager Task runs. If the Pool that will run this Task has
         containerConfiguration set, this must be set as well. If the Pool that
         will run this Task doesn't have containerConfiguration set, this must not
         be set. When this is specified, all directories recursively below the
         AZ_BATCH_NODE_ROOT_DIR (the root of Azure Batch directories on the node)
         are mapped into the container, all Task environment variables are mapped
         into the container, and the Task command line is executed in the
         container. Files produced in the container outside of
         AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning
         that Batch file APIs will not be able to access those files.
        :type container_settings: ~azure.batch.models.TaskContainerSettings
        :param resource_files: A list of files that the Batch service will
         download to the Compute Node before running the command line. Files listed
         under this element are located in the Task's working directory. There is a
         maximum size for the list of resource files.  When the max size is
         exceeded, the request will fail and the response error code will be
         RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
         must be reduced in size. This can be achieved using .zip files,
         Application Packages, or Docker Containers.
        :type resource_files: list[~azure.batch.models.ResourceFile]
        :param output_files: A list of files that the Batch service will upload
         from the Compute Node after running the command line. For multi-instance
         Tasks, the files will only be uploaded from the Compute Node on which the
         primary Task is executed.
        :type output_files: list[~azure.batch.models.OutputFile]
        :param environment_settings: A list of environment variable settings for
         the Job Manager Task.
        :type environment_settings: list[~azure.batch.models.EnvironmentSetting]
        :param constraints: Constraints that apply to the Job Manager Task.
        :type constraints: ~azure.batch.models.TaskConstraints
        :param kill_job_on_completion: Whether completion of the Job Manager Task
         signifies completion of the entire Job. If true, when the Job Manager Task
         completes, the Batch service marks the Job as complete. If any Tasks are
         still running at this time (other than Job Release), those Tasks are
         terminated. If false, the completion of the Job Manager Task does not
         affect the Job status. In this case, you should either use the
         onAllTasksComplete attribute to terminate the Job, or have a client or
         user terminate the Job explicitly. An example of this is if the Job
         Manager creates a set of Tasks but then takes no further role in their
         execution. The default value is true. If you are using the
         onAllTasksComplete and onTaskFailure attributes to control Job lifetime,
         and using the Job Manager Task only to create the Tasks for the Job (not
         to monitor progress), then it is important to set killJobOnCompletion to
         false.
        :type kill_job_on_completion: bool
        :param user_identity: The user identity under which the Job Manager Task
         runs. If omitted, the Task runs as a non-administrative user unique to the
         Task.
        :type user_identity: ~azure.batch.models.UserIdentity
        :param run_exclusive: Whether the Job Manager Task requires exclusive use
         of the Compute Node where it runs. If true, no other Tasks will run on the
         same Node for as long as the Job Manager is running. If false, other Tasks
         can run simultaneously with the Job Manager on a Compute Node. The Job
         Manager Task counts normally against the Compute Node's concurrent Task
         limit, so this is only relevant if the Compute Node allows multiple
         concurrent Tasks. The default value is true.
        :type run_exclusive: bool
        :param application_package_references: A list of Application Packages that
         the Batch service will deploy to the Compute Node before running the
         command line. Application Packages are downloaded and deployed to a shared
         directory, not the Task working directory. Therefore, if a referenced
         Application Package is already on the Compute Node, and is up to date,
         then it is not re-downloaded; the existing copy on the Compute Node is
         used. If a referenced Application Package cannot be installed, for example
         because the package has been deleted or because download failed, the Task
         fails.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param authentication_token_settings: The settings for an authentication
         token that the Task can use to perform Batch service operations. If this
         property is set, the Batch service provides the Task with an
         authentication token which can be used to authenticate Batch service
         operations without requiring an Account access key. The token is provided
         via the AZ_BATCH_AUTHENTICATION_TOKEN environment variable. The operations
         that the Task can carry out using the token depend on the settings. For
         example, a Task can request Job permissions in order to add other Tasks to
         the Job, or check the status of the Job or of other Tasks under the Job.
        :type authentication_token_settings:
         ~azure.batch.models.AuthenticationTokenSettings
        :param allow_low_priority_node: Whether the Job Manager Task may run on a
         low-priority Compute Node. The default value is true.
        :type allow_low_priority_node: bool
        """

        _validation = {
            'id': {'required': True},
            'command_line': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'command_line': {'key': 'commandLine', 'type': 'str'},
            'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
            'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
            'output_files': {'key': 'outputFiles', 'type': '[OutputFile]'},
            'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
            'constraints': {'key': 'constraints', 'type': 'TaskConstraints'},
            'kill_job_on_completion': {'key': 'killJobOnCompletion', 'type': 'bool'},
            'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
            'run_exclusive': {'key': 'runExclusive', 'type': 'bool'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'authentication_token_settings': {'key': 'authenticationTokenSettings', 'type': 'AuthenticationTokenSettings'},
            'allow_low_priority_node': {'key': 'allowLowPriorityNode', 'type': 'bool'},
        }

        def __init__(self, *, id: str, command_line: str, display_name: str=None, container_settings=None, resource_files=None, output_files=None, environment_settings=None, constraints=None, kill_job_on_completion: bool=None, user_identity=None, run_exclusive: bool=None, application_package_references=None, authentication_token_settings=None, allow_low_priority_node: bool=None, **kwargs) -> None:
            super(JobManagerTask, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.command_line = command_line
            self.container_settings = container_settings
            self.resource_files = resource_files
            self.output_files = output_files
            self.environment_settings = environment_settings
            self.constraints = constraints
            self.kill_job_on_completion = kill_job_on_completion
            self.user_identity = user_identity
            self.run_exclusive = run_exclusive
            self.application_package_references = application_package_references
            self.authentication_token_settings = authentication_token_settings
            self.allow_low_priority_node = allow_low_priority_node

    class JobNetworkConfiguration(Model):
        """The network configuration for the Job.

        All required parameters must be populated in order to send to Azure.

        :param subnet_id: Required. The ARM resource identifier of the virtual
         network subnet which Compute Nodes running Tasks from the Job will join
         for the duration of the Task. This will only work with a
         VirtualMachineConfiguration Pool. The virtual network must be in the same
         region and subscription as the Azure Batch Account. The specified subnet
         should have enough free IP addresses to accommodate the number of Compute
         Nodes which will run Tasks from the Job. This can be up to the number of
         Compute Nodes in the Pool. The 'MicrosoftAzureBatch' service principal
         must have the 'Classic Virtual Machine Contributor' Role-Based Access
         Control (RBAC) role for the specified VNet so that Azure Batch service can
         schedule Tasks on the Nodes. This can be verified by checking if the
         specified VNet has any associated Network Security Groups (NSG). If
         communication to the Nodes in the specified subnet is denied by an NSG,
         then the Batch service will set the state of the Compute Nodes to
         unusable. This is of the form
         /subscriptions/{subscription}/resourceGroups/{group}/providers/{provider}/virtualNetworks/{network}/subnets/{subnet}.
         If the specified VNet has any associated Network Security Groups (NSG),
         then a few reserved system ports must be enabled for inbound communication
         from the Azure Batch service. For Pools created with a Virtual Machine
         configuration, enable ports 29876 and 29877, as well as port 22 for Linux
         and port 3389 for Windows. Port 443 is also required to be open for
         outbound connections for communications to Azure Storage. For more details
         see:
         https://docs.microsoft.com/en-us/azure/batch/batch-api-basics#virtual-network-vnet-and-firewall-configuration
        :type subnet_id: str
        """

        _validation = {
            'subnet_id': {'required': True},
        }

        _attribute_map = {
            'subnet_id': {'key': 'subnetId', 'type': 'str'},
        }

        def __init__(self, *, subnet_id: str, **kwargs) -> None:
            super(JobNetworkConfiguration, self).__init__(**kwargs)
            self.subnet_id = subnet_id

    class JobPatchOptions(Model):
        """Additional parameters for patch operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobPatchOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobPatchParameter(Model):
        """The set of changes to be made to a Job.

        :param priority: The priority of the Job. Priority values can range from
         -1000 to 1000, with -1000 being the lowest priority and 1000 being the
         highest priority. If omitted, the priority of the Job is left unchanged.
        :type priority: int
        :param on_all_tasks_complete: The action the Batch service should take
         when all Tasks in the Job are in the completed state. If omitted, the
         completion behavior is left unchanged. You may not change the value from
         terminatejob to noaction - that is, once you have engaged automatic Job
         termination, you cannot turn it off again. If you try to do this, the
         request fails with an 'invalid property value' error response; if you are
         calling the REST API directly, the HTTP status code is 400 (Bad Request).
         Possible values include: 'noAction', 'terminateJob'
        :type on_all_tasks_complete: str or ~azure.batch.models.OnAllTasksComplete
        :param constraints: The execution constraints for the Job. If omitted, the
         existing execution constraints are left unchanged.
        :type constraints: ~azure.batch.models.JobConstraints
        :param pool_info: The Pool on which the Batch service runs the Job's
         Tasks. You may change the Pool for a Job only when the Job is disabled.
         The Patch Job call will fail if you include the poolInfo element and the
         Job is not disabled. If you specify an autoPoolSpecification in the
         poolInfo, only the keepAlive property of the autoPoolSpecification can be
         updated, and then only if the autoPoolSpecification has a
         poolLifetimeOption of Job (other job properties can be updated as normal).
         If omitted, the Job continues to run on its current Pool.
        :type pool_info: ~azure.batch.models.PoolInformation
        :param metadata: A list of name-value pairs associated with the Job as
         metadata. If omitted, the existing Job metadata is left unchanged.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _attribute_map = {
            'priority': {'key': 'priority', 'type': 'int'},
            'on_all_tasks_complete': {'key': 'onAllTasksComplete', 'type': 'OnAllTasksComplete'},
            'constraints': {'key': 'constraints', 'type': 'JobConstraints'},
            'pool_info': {'key': 'poolInfo', 'type': 'PoolInformation'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, priority: int=None, on_all_tasks_complete=None, constraints=None, pool_info=None, metadata=None, **kwargs) -> None:
            super(JobPatchParameter, self).__init__(**kwargs)
            self.priority = priority
            self.on_all_tasks_complete = on_all_tasks_complete
            self.constraints = constraints
            self.pool_info = pool_info
            self.metadata = metadata

    class JobPreparationAndReleaseTaskExecutionInformation(Model):
        """The status of the Job Preparation and Job Release Tasks on a Compute Node.

        :param pool_id: The ID of the Pool containing the Compute Node to which
         this entry refers.
        :type pool_id: str
        :param node_id: The ID of the Compute Node to which this entry refers.
        :type node_id: str
        :param node_url: The URL of the Compute Node to which this entry refers.
        :type node_url: str
        :param job_preparation_task_execution_info: Information about the
         execution status of the Job Preparation Task on this Compute Node.
        :type job_preparation_task_execution_info:
         ~azure.batch.models.JobPreparationTaskExecutionInformation
        :param job_release_task_execution_info: Information about the execution
         status of the Job Release Task on this Compute Node. This property is set
         only if the Job Release Task has run on the Compute Node.
        :type job_release_task_execution_info:
         ~azure.batch.models.JobReleaseTaskExecutionInformation
        """

        _attribute_map = {
            'pool_id': {'key': 'poolId', 'type': 'str'},
            'node_id': {'key': 'nodeId', 'type': 'str'},
            'node_url': {'key': 'nodeUrl', 'type': 'str'},
            'job_preparation_task_execution_info': {'key': 'jobPreparationTaskExecutionInfo', 'type': 'JobPreparationTaskExecutionInformation'},
            'job_release_task_execution_info': {'key': 'jobReleaseTaskExecutionInfo', 'type': 'JobReleaseTaskExecutionInformation'},
        }

        def __init__(self, *, pool_id: str=None, node_id: str=None, node_url: str=None, job_preparation_task_execution_info=None, job_release_task_execution_info=None, **kwargs) -> None:
            super(JobPreparationAndReleaseTaskExecutionInformation, self).__init__(**kwargs)
            self.pool_id = pool_id
            self.node_id = node_id
            self.node_url = node_url
            self.job_preparation_task_execution_info = job_preparation_task_execution_info
            self.job_release_task_execution_info = job_release_task_execution_info

    class JobPreparationTask(Model):
        """A Job Preparation Task to run before any Tasks of the Job on any given
        Compute Node.

        You can use Job Preparation to prepare a Node to run Tasks for the Job.
        Activities commonly performed in Job Preparation include: Downloading
        common resource files used by all the Tasks in the Job. The Job Preparation
        Task can download these common resource files to the shared location on the
        Node. (AZ_BATCH_NODE_ROOT_DIR\shared), or starting a local service on the
        Node so that all Tasks of that Job can communicate with it. If the Job
        Preparation Task fails (that is, exhausts its retry count before exiting
        with exit code 0), Batch will not run Tasks of this Job on the Node. The
        Compute Node remains ineligible to run Tasks of this Job until it is
        reimaged. The Compute Node remains active and can be used for other Jobs.
        The Job Preparation Task can run multiple times on the same Node.
        Therefore, you should write the Job Preparation Task to handle
        re-execution. If the Node is rebooted, the Job Preparation Task is run
        again on the Compute Node before scheduling any other Task of the Job, if
        rerunOnNodeRebootAfterSuccess is true or if the Job Preparation Task did
        not previously complete. If the Node is reimaged, the Job Preparation Task
        is run again before scheduling any Task of the Job. Batch will retry Tasks
        when a recovery operation is triggered on a Node. Examples of recovery
        operations include (but are not limited to) when an unhealthy Node is
        rebooted or a Compute Node disappeared due to host failure. Retries due to
        recovery operations are independent of and are not counted against the
        maxTaskRetryCount. Even if the maxTaskRetryCount is 0, an internal retry
        due to a recovery operation may occur. Because of this, all Tasks should be
        idempotent. This means Tasks need to tolerate being interrupted and
        restarted without causing any corruption or duplicate data. The best
        practice for long running Tasks is to use some form of checkpointing.

        All required parameters must be populated in order to send to Azure.

        :param id: A string that uniquely identifies the Job Preparation Task
         within the Job. The ID can contain any combination of alphanumeric
         characters including hyphens and underscores and cannot contain more than
         64 characters. If you do not specify this property, the Batch service
         assigns a default value of 'jobpreparation'. No other Task in the Job can
         have the same ID as the Job Preparation Task. If you try to submit a Task
         with the same id, the Batch service rejects the request with error code
         TaskIdSameAsJobPreparationTask; if you are calling the REST API directly,
         the HTTP status code is 409 (Conflict).
        :type id: str
        :param command_line: Required. The command line of the Job Preparation
         Task. The command line does not run under a shell, and therefore cannot
         take advantage of shell features such as environment variable expansion.
         If you want to take advantage of such features, you should invoke the
         shell in the command line, for example using "cmd /c MyCommand" in Windows
         or "/bin/sh -c MyCommand" in Linux. If the command line refers to file
         paths, it should use a relative path (relative to the Task working
         directory), or use the Batch provided environment variable
         (https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
        :type command_line: str
        :param container_settings: The settings for the container under which the
         Job Preparation Task runs. When this is specified, all directories
         recursively below the AZ_BATCH_NODE_ROOT_DIR (the root of Azure Batch
         directories on the node) are mapped into the container, all Task
         environment variables are mapped into the container, and the Task command
         line is executed in the container. Files produced in the container outside
         of AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning
         that Batch file APIs will not be able to access those files.
        :type container_settings: ~azure.batch.models.TaskContainerSettings
        :param resource_files: A list of files that the Batch service will
         download to the Compute Node before running the command line. Files listed
         under this element are located in the Task's working directory.  There is
         a maximum size for the list of resource files.  When the max size is
         exceeded, the request will fail and the response error code will be
         RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
         must be reduced in size. This can be achieved using .zip files,
         Application Packages, or Docker Containers.
        :type resource_files: list[~azure.batch.models.ResourceFile]
        :param environment_settings: A list of environment variable settings for
         the Job Preparation Task.
        :type environment_settings: list[~azure.batch.models.EnvironmentSetting]
        :param constraints: Constraints that apply to the Job Preparation Task.
        :type constraints: ~azure.batch.models.TaskConstraints
        :param wait_for_success: Whether the Batch service should wait for the Job
         Preparation Task to complete successfully before scheduling any other
         Tasks of the Job on the Compute Node. A Job Preparation Task has completed
         successfully if it exits with exit code 0. If true and the Job Preparation
         Task fails on a Node, the Batch service retries the Job Preparation Task
         up to its maximum retry count (as specified in the constraints element).
         If the Task has still not completed successfully after all retries, then
         the Batch service will not schedule Tasks of the Job to the Node. The Node
         remains active and eligible to run Tasks of other Jobs. If false, the
         Batch service will not wait for the Job Preparation Task to complete. In
         this case, other Tasks of the Job can start executing on the Compute Node
         while the Job Preparation Task is still running; and even if the Job
         Preparation Task fails, new Tasks will continue to be scheduled on the
         Compute Node. The default value is true.
        :type wait_for_success: bool
        :param user_identity: The user identity under which the Job Preparation
         Task runs. If omitted, the Task runs as a non-administrative user unique
         to the Task on Windows Compute Nodes, or a non-administrative user unique
         to the Pool on Linux Compute Nodes.
        :type user_identity: ~azure.batch.models.UserIdentity
        :param rerun_on_node_reboot_after_success: Whether the Batch service
         should rerun the Job Preparation Task after a Compute Node reboots. The
         Job Preparation Task is always rerun if a Compute Node is reimaged, or if
         the Job Preparation Task did not complete (e.g. because the reboot
         occurred while the Task was running). Therefore, you should always write a
         Job Preparation Task to be idempotent and to behave correctly if run
         multiple times. The default value is true.
        :type rerun_on_node_reboot_after_success: bool
        """

        _validation = {
            'command_line': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'command_line': {'key': 'commandLine', 'type': 'str'},
            'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
            'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
            'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
            'constraints': {'key': 'constraints', 'type': 'TaskConstraints'},
            'wait_for_success': {'key': 'waitForSuccess', 'type': 'bool'},
            'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
            'rerun_on_node_reboot_after_success': {'key': 'rerunOnNodeRebootAfterSuccess', 'type': 'bool'},
        }

        def __init__(self, *, command_line: str, id: str=None, container_settings=None, resource_files=None, environment_settings=None, constraints=None, wait_for_success: bool=None, user_identity=None, rerun_on_node_reboot_after_success: bool=None, **kwargs) -> None:
            super(JobPreparationTask, self).__init__(**kwargs)
            self.id = id
            self.command_line = command_line
            self.container_settings = container_settings
            self.resource_files = resource_files
            self.environment_settings = environment_settings
            self.constraints = constraints
            self.wait_for_success = wait_for_success
            self.user_identity = user_identity
            self.rerun_on_node_reboot_after_success = rerun_on_node_reboot_after_success

    class JobPreparationTaskExecutionInformation(Model):
        """Contains information about the execution of a Job Preparation Task on a
        Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param start_time: Required. The time at which the Task started running.
         If the Task has been restarted or retried, this is the most recent time at
         which the Task started running.
        :type start_time: datetime
        :param end_time: The time at which the Job Preparation Task completed.
         This property is set only if the Task is in the Completed state.
        :type end_time: datetime
        :param state: Required. The current state of the Job Preparation Task on
         the Compute Node. Possible values include: 'running', 'completed'
        :type state: str or ~azure.batch.models.JobPreparationTaskState
        :param task_root_directory: The root directory of the Job Preparation Task
         on the Compute Node. You can use this path to retrieve files created by
         the Task, such as log files.
        :type task_root_directory: str
        :param task_root_directory_url: The URL to the root directory of the Job
         Preparation Task on the Compute Node.
        :type task_root_directory_url: str
        :param exit_code: The exit code of the program specified on the Task
         command line. This parameter is returned only if the Task is in the
         completed state. The exit code for a process reflects the specific
         convention implemented by the application developer for that process. If
         you use the exit code value to make decisions in your code, be sure that
         you know the exit code convention used by the application process. Note
         that the exit code may also be generated by the Compute Node operating
         system, such as when a process is forcibly terminated.
        :type exit_code: int
        :param container_info: Information about the container under which the
         Task is executing. This property is set only if the Task runs in a
         container context.
        :type container_info:
         ~azure.batch.models.TaskContainerExecutionInformation
        :param failure_info: Information describing the Task failure, if any. This
         property is set only if the Task is in the completed state and encountered
         a failure.
        :type failure_info: ~azure.batch.models.TaskFailureInformation
        :param retry_count: Required. The number of times the Task has been
         retried by the Batch service. Task application failures (non-zero exit
         code) are retried, pre-processing errors (the Task could not be run) and
         file upload errors are not retried. The Batch service will retry the Task
         up to the limit specified by the constraints. Task application failures
         (non-zero exit code) are retried, pre-processing errors (the Task could
         not be run) and file upload errors are not retried. The Batch service will
         retry the Task up to the limit specified by the constraints.
        :type retry_count: int
        :param last_retry_time: The most recent time at which a retry of the Job
         Preparation Task started running. This property is set only if the Task
         was retried (i.e. retryCount is nonzero). If present, this is typically
         the same as startTime, but may be different if the Task has been restarted
         for reasons other than retry; for example, if the Compute Node was
         rebooted during a retry, then the startTime is updated but the
         lastRetryTime is not.
        :type last_retry_time: datetime
        :param result: The result of the Task execution. If the value is 'failed',
         then the details of the failure can be found in the failureInfo property.
         Possible values include: 'success', 'failure'
        :type result: str or ~azure.batch.models.TaskExecutionResult
        """

        _validation = {
            'start_time': {'required': True},
            'state': {'required': True},
            'retry_count': {'required': True},
        }

        _attribute_map = {
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'state': {'key': 'state', 'type': 'JobPreparationTaskState'},
            'task_root_directory': {'key': 'taskRootDirectory', 'type': 'str'},
            'task_root_directory_url': {'key': 'taskRootDirectoryUrl', 'type': 'str'},
            'exit_code': {'key': 'exitCode', 'type': 'int'},
            'container_info': {'key': 'containerInfo', 'type': 'TaskContainerExecutionInformation'},
            'failure_info': {'key': 'failureInfo', 'type': 'TaskFailureInformation'},
            'retry_count': {'key': 'retryCount', 'type': 'int'},
            'last_retry_time': {'key': 'lastRetryTime', 'type': 'iso-8601'},
            'result': {'key': 'result', 'type': 'TaskExecutionResult'},
        }

        def __init__(self, *, start_time, state, retry_count: int, end_time=None, task_root_directory: str=None, task_root_directory_url: str=None, exit_code: int=None, container_info=None, failure_info=None, last_retry_time=None, result=None, **kwargs) -> None:
            super(JobPreparationTaskExecutionInformation, self).__init__(**kwargs)
            self.start_time = start_time
            self.end_time = end_time
            self.state = state
            self.task_root_directory = task_root_directory
            self.task_root_directory_url = task_root_directory_url
            self.exit_code = exit_code
            self.container_info = container_info
            self.failure_info = failure_info
            self.retry_count = retry_count
            self.last_retry_time = last_retry_time
            self.result = result

    class JobReleaseTask(Model):
        """A Job Release Task to run on Job completion on any Compute Node where the
        Job has run.

        The Job Release Task runs when the Job ends, because of one of the
        following: The user calls the Terminate Job API, or the Delete Job API
        while the Job is still active, the Job's maximum wall clock time constraint
        is reached, and the Job is still active, or the Job's Job Manager Task
        completed, and the Job is configured to terminate when the Job Manager
        completes. The Job Release Task runs on each Node where Tasks of the Job
        have run and the Job Preparation Task ran and completed. If you reimage a
        Node after it has run the Job Preparation Task, and the Job ends without
        any further Tasks of the Job running on that Node (and hence the Job
        Preparation Task does not re-run), then the Job Release Task does not run
        on that Compute Node. If a Node reboots while the Job Release Task is still
        running, the Job Release Task runs again when the Compute Node starts up.
        The Job is not marked as complete until all Job Release Tasks have
        completed. The Job Release Task runs in the background. It does not occupy
        a scheduling slot; that is, it does not count towards the maxTasksPerNode
        limit specified on the Pool.

        All required parameters must be populated in order to send to Azure.

        :param id: A string that uniquely identifies the Job Release Task within
         the Job. The ID can contain any combination of alphanumeric characters
         including hyphens and underscores and cannot contain more than 64
         characters. If you do not specify this property, the Batch service assigns
         a default value of 'jobrelease'. No other Task in the Job can have the
         same ID as the Job Release Task. If you try to submit a Task with the same
         id, the Batch service rejects the request with error code
         TaskIdSameAsJobReleaseTask; if you are calling the REST API directly, the
         HTTP status code is 409 (Conflict).
        :type id: str
        :param command_line: Required. The command line of the Job Release Task.
         The command line does not run under a shell, and therefore cannot take
         advantage of shell features such as environment variable expansion. If you
         want to take advantage of such features, you should invoke the shell in
         the command line, for example using "cmd /c MyCommand" in Windows or
         "/bin/sh -c MyCommand" in Linux. If the command line refers to file paths,
         it should use a relative path (relative to the Task working directory), or
         use the Batch provided environment variable
         (https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
        :type command_line: str
        :param container_settings: The settings for the container under which the
         Job Release Task runs. When this is specified, all directories recursively
         below the AZ_BATCH_NODE_ROOT_DIR (the root of Azure Batch directories on
         the node) are mapped into the container, all Task environment variables
         are mapped into the container, and the Task command line is executed in
         the container. Files produced in the container outside of
         AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning
         that Batch file APIs will not be able to access those files.
        :type container_settings: ~azure.batch.models.TaskContainerSettings
        :param resource_files: A list of files that the Batch service will
         download to the Compute Node before running the command line.  There is a
         maximum size for the list of resource files.  When the max size is
         exceeded, the request will fail and the response error code will be
         RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
         must be reduced in size. This can be achieved using .zip files,
         Application Packages, or Docker Containers. Files listed under this
         element are located in the Task's working directory.
        :type resource_files: list[~azure.batch.models.ResourceFile]
        :param environment_settings: A list of environment variable settings for
         the Job Release Task.
        :type environment_settings: list[~azure.batch.models.EnvironmentSetting]
        :param max_wall_clock_time: The maximum elapsed time that the Job Release
         Task may run on a given Compute Node, measured from the time the Task
         starts. If the Task does not complete within the time limit, the Batch
         service terminates it. The default value is 15 minutes. You may not
         specify a timeout longer than 15 minutes. If you do, the Batch service
         rejects it with an error; if you are calling the REST API directly, the
         HTTP status code is 400 (Bad Request).
        :type max_wall_clock_time: timedelta
        :param retention_time: The minimum time to retain the Task directory for
         the Job Release Task on the Compute Node. After this time, the Batch
         service may delete the Task directory and all its contents. The default is
         7 days, i.e. the Task directory will be retained for 7 days unless the
         Compute Node is removed or the Job is deleted.
        :type retention_time: timedelta
        :param user_identity: The user identity under which the Job Release Task
         runs. If omitted, the Task runs as a non-administrative user unique to the
         Task.
        :type user_identity: ~azure.batch.models.UserIdentity
        """

        _validation = {
            'command_line': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'command_line': {'key': 'commandLine', 'type': 'str'},
            'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
            'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
            'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
            'max_wall_clock_time': {'key': 'maxWallClockTime', 'type': 'duration'},
            'retention_time': {'key': 'retentionTime', 'type': 'duration'},
            'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
        }

        def __init__(self, *, command_line: str, id: str=None, container_settings=None, resource_files=None, environment_settings=None, max_wall_clock_time=None, retention_time=None, user_identity=None, **kwargs) -> None:
            super(JobReleaseTask, self).__init__(**kwargs)
            self.id = id
            self.command_line = command_line
            self.container_settings = container_settings
            self.resource_files = resource_files
            self.environment_settings = environment_settings
            self.max_wall_clock_time = max_wall_clock_time
            self.retention_time = retention_time
            self.user_identity = user_identity

    class JobReleaseTaskExecutionInformation(Model):
        """Contains information about the execution of a Job Release Task on a Compute
        Node.

        All required parameters must be populated in order to send to Azure.

        :param start_time: Required. The time at which the Task started running.
         If the Task has been restarted or retried, this is the most recent time at
         which the Task started running.
        :type start_time: datetime
        :param end_time: The time at which the Job Release Task completed. This
         property is set only if the Task is in the Completed state.
        :type end_time: datetime
        :param state: Required. The current state of the Job Release Task on the
         Compute Node. Possible values include: 'running', 'completed'
        :type state: str or ~azure.batch.models.JobReleaseTaskState
        :param task_root_directory: The root directory of the Job Release Task on
         the Compute Node. You can use this path to retrieve files created by the
         Task, such as log files.
        :type task_root_directory: str
        :param task_root_directory_url: The URL to the root directory of the Job
         Release Task on the Compute Node.
        :type task_root_directory_url: str
        :param exit_code: The exit code of the program specified on the Task
         command line. This parameter is returned only if the Task is in the
         completed state. The exit code for a process reflects the specific
         convention implemented by the application developer for that process. If
         you use the exit code value to make decisions in your code, be sure that
         you know the exit code convention used by the application process. Note
         that the exit code may also be generated by the Compute Node operating
         system, such as when a process is forcibly terminated.
        :type exit_code: int
        :param container_info: Information about the container under which the
         Task is executing. This property is set only if the Task runs in a
         container context.
        :type container_info:
         ~azure.batch.models.TaskContainerExecutionInformation
        :param failure_info: Information describing the Task failure, if any. This
         property is set only if the Task is in the completed state and encountered
         a failure.
        :type failure_info: ~azure.batch.models.TaskFailureInformation
        :param result: The result of the Task execution. If the value is 'failed',
         then the details of the failure can be found in the failureInfo property.
         Possible values include: 'success', 'failure'
        :type result: str or ~azure.batch.models.TaskExecutionResult
        """

        _validation = {
            'start_time': {'required': True},
            'state': {'required': True},
        }

        _attribute_map = {
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'state': {'key': 'state', 'type': 'JobReleaseTaskState'},
            'task_root_directory': {'key': 'taskRootDirectory', 'type': 'str'},
            'task_root_directory_url': {'key': 'taskRootDirectoryUrl', 'type': 'str'},
            'exit_code': {'key': 'exitCode', 'type': 'int'},
            'container_info': {'key': 'containerInfo', 'type': 'TaskContainerExecutionInformation'},
            'failure_info': {'key': 'failureInfo', 'type': 'TaskFailureInformation'},
            'result': {'key': 'result', 'type': 'TaskExecutionResult'},
        }

        def __init__(self, *, start_time, state, end_time=None, task_root_directory: str=None, task_root_directory_url: str=None, exit_code: int=None, container_info=None, failure_info=None, result=None, **kwargs) -> None:
            super(JobReleaseTaskExecutionInformation, self).__init__(**kwargs)
            self.start_time = start_time
            self.end_time = end_time
            self.state = state
            self.task_root_directory = task_root_directory
            self.task_root_directory_url = task_root_directory_url
            self.exit_code = exit_code
            self.container_info = container_info
            self.failure_info = failure_info
            self.result = result

    class JobScheduleAddOptions(Model):
        """Additional parameters for add operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobScheduleAddOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobScheduleAddParameter(Model):
        """A Job Schedule that allows recurring Jobs by specifying when to run Jobs
        and a specification used to create each Job.

        All required parameters must be populated in order to send to Azure.

        :param id: Required. A string that uniquely identifies the schedule within
         the Account. The ID can contain any combination of alphanumeric characters
         including hyphens and underscores, and cannot contain more than 64
         characters. The ID is case-preserving and case-insensitive (that is, you
         may not have two IDs within an Account that differ only by case).
        :type id: str
        :param display_name: The display name for the schedule. The display name
         need not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param schedule: Required. The schedule according to which Jobs will be
         created.
        :type schedule: ~azure.batch.models.Schedule
        :param job_specification: Required. The details of the Jobs to be created
         on this schedule.
        :type job_specification: ~azure.batch.models.JobSpecification
        :param metadata: A list of name-value pairs associated with the schedule
         as metadata. The Batch service does not assign any meaning to metadata; it
         is solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _validation = {
            'id': {'required': True},
            'schedule': {'required': True},
            'job_specification': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'schedule': {'key': 'schedule', 'type': 'Schedule'},
            'job_specification': {'key': 'jobSpecification', 'type': 'JobSpecification'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, id: str, schedule, job_specification, display_name: str=None, metadata=None, **kwargs) -> None:
            super(JobScheduleAddParameter, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.schedule = schedule
            self.job_specification = job_specification
            self.metadata = metadata

    class JobScheduleDeleteOptions(Model):
        """Additional parameters for delete operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleDeleteOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleDisableOptions(Model):
        """Additional parameters for disable operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleDisableOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleEnableOptions(Model):
        """Additional parameters for enable operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleEnableOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleExecutionInformation(Model):
        """Contains information about Jobs that have been and will be run under a Job
        Schedule.

        :param next_run_time: The next time at which a Job will be created under
         this schedule. This property is meaningful only if the schedule is in the
         active state when the time comes around. For example, if the schedule is
         disabled, no Job will be created at nextRunTime unless the Job is enabled
         before then.
        :type next_run_time: datetime
        :param recent_job: Information about the most recent Job under the Job
         Schedule. This property is present only if the at least one Job has run
         under the schedule.
        :type recent_job: ~azure.batch.models.RecentJob
        :param end_time: The time at which the schedule ended. This property is
         set only if the Job Schedule is in the completed state.
        :type end_time: datetime
        """

        _attribute_map = {
            'next_run_time': {'key': 'nextRunTime', 'type': 'iso-8601'},
            'recent_job': {'key': 'recentJob', 'type': 'RecentJob'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
        }

        def __init__(self, *, next_run_time=None, recent_job=None, end_time=None, **kwargs) -> None:
            super(JobScheduleExecutionInformation, self).__init__(**kwargs)
            self.next_run_time = next_run_time
            self.recent_job = recent_job
            self.end_time = end_time

    class JobScheduleExistsOptions(Model):
        """Additional parameters for exists operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleExistsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleGetOptions(Model):
        """Additional parameters for get operation.

        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, expand: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleGetOptions, self).__init__(**kwargs)
            self.select = select
            self.expand = expand
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleListOptions(Model):
        """Additional parameters for list operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-job-schedules.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Job Schedules can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, expand: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(JobScheduleListOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.expand = expand
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class JobSchedulePatchOptions(Model):
        """Additional parameters for patch operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobSchedulePatchOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobSchedulePatchParameter(Model):
        """The set of changes to be made to a Job Schedule.

        :param schedule: The schedule according to which Jobs will be created. If
         you do not specify this element, the existing schedule is left unchanged.
        :type schedule: ~azure.batch.models.Schedule
        :param job_specification: The details of the Jobs to be created on this
         schedule. Updates affect only Jobs that are started after the update has
         taken place. Any currently active Job continues with the older
         specification.
        :type job_specification: ~azure.batch.models.JobSpecification
        :param metadata: A list of name-value pairs associated with the Job
         Schedule as metadata. If you do not specify this element, existing
         metadata is left unchanged.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _attribute_map = {
            'schedule': {'key': 'schedule', 'type': 'Schedule'},
            'job_specification': {'key': 'jobSpecification', 'type': 'JobSpecification'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, schedule=None, job_specification=None, metadata=None, **kwargs) -> None:
            super(JobSchedulePatchParameter, self).__init__(**kwargs)
            self.schedule = schedule
            self.job_specification = job_specification
            self.metadata = metadata

    class JobScheduleStatistics(Model):
        """Resource usage statistics for a Job Schedule.

        All required parameters must be populated in order to send to Azure.

        :param url: Required. The URL of the statistics.
        :type url: str
        :param start_time: Required. The start time of the time range covered by
         the statistics.
        :type start_time: datetime
        :param last_update_time: Required. The time at which the statistics were
         last updated. All statistics are limited to the range between startTime
         and lastUpdateTime.
        :type last_update_time: datetime
        :param user_cpu_time: Required. The total user mode CPU time (summed
         across all cores and all Compute Nodes) consumed by all Tasks in all Jobs
         created under the schedule.
        :type user_cpu_time: timedelta
        :param kernel_cpu_time: Required. The total kernel mode CPU time (summed
         across all cores and all Compute Nodes) consumed by all Tasks in all Jobs
         created under the schedule.
        :type kernel_cpu_time: timedelta
        :param wall_clock_time: Required. The total wall clock time of all the
         Tasks in all the Jobs created under the schedule. The wall clock time is
         the elapsed time from when the Task started running on a Compute Node to
         when it finished (or to the last time the statistics were updated, if the
         Task had not finished by then). If a Task was retried, this includes the
         wall clock time of all the Task retries.
        :type wall_clock_time: timedelta
        :param read_iops: Required. The total number of disk read operations made
         by all Tasks in all Jobs created under the schedule.
        :type read_iops: long
        :param write_iops: Required. The total number of disk write operations
         made by all Tasks in all Jobs created under the schedule.
        :type write_iops: long
        :param read_io_gi_b: Required. The total gibibytes read from disk by all
         Tasks in all Jobs created under the schedule.
        :type read_io_gi_b: float
        :param write_io_gi_b: Required. The total gibibytes written to disk by all
         Tasks in all Jobs created under the schedule.
        :type write_io_gi_b: float
        :param num_succeeded_tasks: Required. The total number of Tasks
         successfully completed during the given time range in Jobs created under
         the schedule. A Task completes successfully if it returns exit code 0.
        :type num_succeeded_tasks: long
        :param num_failed_tasks: Required. The total number of Tasks that failed
         during the given time range in Jobs created under the schedule. A Task
         fails if it exhausts its maximum retry count without returning exit code
         0.
        :type num_failed_tasks: long
        :param num_task_retries: Required. The total number of retries during the
         given time range on all Tasks in all Jobs created under the schedule.
        :type num_task_retries: long
        :param wait_time: Required. The total wait time of all Tasks in all Jobs
         created under the schedule. The wait time for a Task is defined as the
         elapsed time between the creation of the Task and the start of Task
         execution. (If the Task is retried due to failures, the wait time is the
         time to the most recent Task execution.). This value is only reported in
         the Account lifetime statistics; it is not included in the Job statistics.
        :type wait_time: timedelta
        """

        _validation = {
            'url': {'required': True},
            'start_time': {'required': True},
            'last_update_time': {'required': True},
            'user_cpu_time': {'required': True},
            'kernel_cpu_time': {'required': True},
            'wall_clock_time': {'required': True},
            'read_iops': {'required': True},
            'write_iops': {'required': True},
            'read_io_gi_b': {'required': True},
            'write_io_gi_b': {'required': True},
            'num_succeeded_tasks': {'required': True},
            'num_failed_tasks': {'required': True},
            'num_task_retries': {'required': True},
            'wait_time': {'required': True},
        }

        _attribute_map = {
            'url': {'key': 'url', 'type': 'str'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
            'user_cpu_time': {'key': 'userCPUTime', 'type': 'duration'},
            'kernel_cpu_time': {'key': 'kernelCPUTime', 'type': 'duration'},
            'wall_clock_time': {'key': 'wallClockTime', 'type': 'duration'},
            'read_iops': {'key': 'readIOps', 'type': 'long'},
            'write_iops': {'key': 'writeIOps', 'type': 'long'},
            'read_io_gi_b': {'key': 'readIOGiB', 'type': 'float'},
            'write_io_gi_b': {'key': 'writeIOGiB', 'type': 'float'},
            'num_succeeded_tasks': {'key': 'numSucceededTasks', 'type': 'long'},
            'num_failed_tasks': {'key': 'numFailedTasks', 'type': 'long'},
            'num_task_retries': {'key': 'numTaskRetries', 'type': 'long'},
            'wait_time': {'key': 'waitTime', 'type': 'duration'},
        }

        def __init__(self, *, url: str, start_time, last_update_time, user_cpu_time, kernel_cpu_time, wall_clock_time, read_iops: int, write_iops: int, read_io_gi_b: float, write_io_gi_b: float, num_succeeded_tasks: int, num_failed_tasks: int, num_task_retries: int, wait_time, **kwargs) -> None:
            super(JobScheduleStatistics, self).__init__(**kwargs)
            self.url = url
            self.start_time = start_time
            self.last_update_time = last_update_time
            self.user_cpu_time = user_cpu_time
            self.kernel_cpu_time = kernel_cpu_time
            self.wall_clock_time = wall_clock_time
            self.read_iops = read_iops
            self.write_iops = write_iops
            self.read_io_gi_b = read_io_gi_b
            self.write_io_gi_b = write_io_gi_b
            self.num_succeeded_tasks = num_succeeded_tasks
            self.num_failed_tasks = num_failed_tasks
            self.num_task_retries = num_task_retries
            self.wait_time = wait_time

    class JobScheduleTerminateOptions(Model):
        """Additional parameters for terminate operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleTerminateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleUpdateOptions(Model):
        """Additional parameters for update operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobScheduleUpdateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobScheduleUpdateParameter(Model):
        """The set of changes to be made to a Job Schedule.

        All required parameters must be populated in order to send to Azure.

        :param schedule: Required. The schedule according to which Jobs will be
         created. If you do not specify this element, it is equivalent to passing
         the default schedule: that is, a single Job scheduled to run immediately.
        :type schedule: ~azure.batch.models.Schedule
        :param job_specification: Required. Details of the Jobs to be created on
         this schedule. Updates affect only Jobs that are started after the update
         has taken place. Any currently active Job continues with the older
         specification.
        :type job_specification: ~azure.batch.models.JobSpecification
        :param metadata: A list of name-value pairs associated with the Job
         Schedule as metadata. If you do not specify this element, it takes the
         default value of an empty list; in effect, any existing metadata is
         deleted.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _validation = {
            'schedule': {'required': True},
            'job_specification': {'required': True},
        }

        _attribute_map = {
            'schedule': {'key': 'schedule', 'type': 'Schedule'},
            'job_specification': {'key': 'jobSpecification', 'type': 'JobSpecification'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, schedule, job_specification, metadata=None, **kwargs) -> None:
            super(JobScheduleUpdateParameter, self).__init__(**kwargs)
            self.schedule = schedule
            self.job_specification = job_specification
            self.metadata = metadata

    class JobSchedulingError(Model):
        """An error encountered by the Batch service when scheduling a Job.

        All required parameters must be populated in order to send to Azure.

        :param category: Required. The category of the Job scheduling error.
         Possible values include: 'userError', 'serverError'
        :type category: str or ~azure.batch.models.ErrorCategory
        :param code: An identifier for the Job scheduling error. Codes are
         invariant and are intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the Job scheduling error, intended to
         be suitable for display in a user interface.
        :type message: str
        :param details: A list of additional error details related to the
         scheduling error.
        :type details: list[~azure.batch.models.NameValuePair]
        """

        _validation = {
            'category': {'required': True},
        }

        _attribute_map = {
            'category': {'key': 'category', 'type': 'ErrorCategory'},
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'str'},
            'details': {'key': 'details', 'type': '[NameValuePair]'},
        }

        def __init__(self, *, category, code: str=None, message: str=None, details=None, **kwargs) -> None:
            super(JobSchedulingError, self).__init__(**kwargs)
            self.category = category
            self.code = code
            self.message = message
            self.details = details

    class JobSpecification(Model):
        """Specifies details of the Jobs to be created on a schedule.

        All required parameters must be populated in order to send to Azure.

        :param priority: The priority of Jobs created under this schedule.
         Priority values can range from -1000 to 1000, with -1000 being the lowest
         priority and 1000 being the highest priority. The default value is 0. This
         priority is used as the default for all Jobs under the Job Schedule. You
         can update a Job's priority after it has been created using by using the
         update Job API.
        :type priority: int
        :param display_name: The display name for Jobs created under this
         schedule. The name need not be unique and can contain any Unicode
         characters up to a maximum length of 1024.
        :type display_name: str
        :param uses_task_dependencies: Whether Tasks in the Job can define
         dependencies on each other. The default is false.
        :type uses_task_dependencies: bool
        :param on_all_tasks_complete: The action the Batch service should take
         when all Tasks in a Job created under this schedule are in the completed
         state. Note that if a Job contains no Tasks, then all Tasks are considered
         complete. This option is therefore most commonly used with a Job Manager
         task; if you want to use automatic Job termination without a Job Manager,
         you should initially set onAllTasksComplete to noaction and update the Job
         properties to set onAllTasksComplete to terminatejob once you have
         finished adding Tasks. The default is noaction. Possible values include:
         'noAction', 'terminateJob'
        :type on_all_tasks_complete: str or ~azure.batch.models.OnAllTasksComplete
        :param on_task_failure: The action the Batch service should take when any
         Task fails in a Job created under this schedule. A Task is considered to
         have failed if it have failed if has a failureInfo. A failureInfo is set
         if the Task completes with a non-zero exit code after exhausting its retry
         count, or if there was an error starting the Task, for example due to a
         resource file download error. The default is noaction. Possible values
         include: 'noAction', 'performExitOptionsJobAction'
        :type on_task_failure: str or ~azure.batch.models.OnTaskFailure
        :param network_configuration: The network configuration for the Job.
        :type network_configuration: ~azure.batch.models.JobNetworkConfiguration
        :param constraints: The execution constraints for Jobs created under this
         schedule.
        :type constraints: ~azure.batch.models.JobConstraints
        :param job_manager_task: The details of a Job Manager Task to be launched
         when a Job is started under this schedule. If the Job does not specify a
         Job Manager Task, the user must explicitly add Tasks to the Job using the
         Task API. If the Job does specify a Job Manager Task, the Batch service
         creates the Job Manager Task when the Job is created, and will try to
         schedule the Job Manager Task before scheduling other Tasks in the Job.
        :type job_manager_task: ~azure.batch.models.JobManagerTask
        :param job_preparation_task: The Job Preparation Task for Jobs created
         under this schedule. If a Job has a Job Preparation Task, the Batch
         service will run the Job Preparation Task on a Node before starting any
         Tasks of that Job on that Compute Node.
        :type job_preparation_task: ~azure.batch.models.JobPreparationTask
        :param job_release_task: The Job Release Task for Jobs created under this
         schedule. The primary purpose of the Job Release Task is to undo changes
         to Nodes made by the Job Preparation Task. Example activities include
         deleting local files, or shutting down services that were started as part
         of Job preparation. A Job Release Task cannot be specified without also
         specifying a Job Preparation Task for the Job. The Batch service runs the
         Job Release Task on the Compute Nodes that have run the Job Preparation
         Task.
        :type job_release_task: ~azure.batch.models.JobReleaseTask
        :param common_environment_settings: A list of common environment variable
         settings. These environment variables are set for all Tasks in Jobs
         created under this schedule (including the Job Manager, Job Preparation
         and Job Release Tasks). Individual Tasks can override an environment
         setting specified here by specifying the same setting name with a
         different value.
        :type common_environment_settings:
         list[~azure.batch.models.EnvironmentSetting]
        :param pool_info: Required. The Pool on which the Batch service runs the
         Tasks of Jobs created under this schedule.
        :type pool_info: ~azure.batch.models.PoolInformation
        :param metadata: A list of name-value pairs associated with each Job
         created under this schedule as metadata. The Batch service does not assign
         any meaning to metadata; it is solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _validation = {
            'pool_info': {'required': True},
        }

        _attribute_map = {
            'priority': {'key': 'priority', 'type': 'int'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'uses_task_dependencies': {'key': 'usesTaskDependencies', 'type': 'bool'},
            'on_all_tasks_complete': {'key': 'onAllTasksComplete', 'type': 'OnAllTasksComplete'},
            'on_task_failure': {'key': 'onTaskFailure', 'type': 'OnTaskFailure'},
            'network_configuration': {'key': 'networkConfiguration', 'type': 'JobNetworkConfiguration'},
            'constraints': {'key': 'constraints', 'type': 'JobConstraints'},
            'job_manager_task': {'key': 'jobManagerTask', 'type': 'JobManagerTask'},
            'job_preparation_task': {'key': 'jobPreparationTask', 'type': 'JobPreparationTask'},
            'job_release_task': {'key': 'jobReleaseTask', 'type': 'JobReleaseTask'},
            'common_environment_settings': {'key': 'commonEnvironmentSettings', 'type': '[EnvironmentSetting]'},
            'pool_info': {'key': 'poolInfo', 'type': 'PoolInformation'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, pool_info, priority: int=None, display_name: str=None, uses_task_dependencies: bool=None, on_all_tasks_complete=None, on_task_failure=None, network_configuration=None, constraints=None, job_manager_task=None, job_preparation_task=None, job_release_task=None, common_environment_settings=None, metadata=None, **kwargs) -> None:
            super(JobSpecification, self).__init__(**kwargs)
            self.priority = priority
            self.display_name = display_name
            self.uses_task_dependencies = uses_task_dependencies
            self.on_all_tasks_complete = on_all_tasks_complete
            self.on_task_failure = on_task_failure
            self.network_configuration = network_configuration
            self.constraints = constraints
            self.job_manager_task = job_manager_task
            self.job_preparation_task = job_preparation_task
            self.job_release_task = job_release_task
            self.common_environment_settings = common_environment_settings
            self.pool_info = pool_info
            self.metadata = metadata

    class JobStatistics(Model):
        """Resource usage statistics for a Job.

        All required parameters must be populated in order to send to Azure.

        :param url: Required. The URL of the statistics.
        :type url: str
        :param start_time: Required. The start time of the time range covered by
         the statistics.
        :type start_time: datetime
        :param last_update_time: Required. The time at which the statistics were
         last updated. All statistics are limited to the range between startTime
         and lastUpdateTime.
        :type last_update_time: datetime
        :param user_cpu_time: Required. The total user mode CPU time (summed
         across all cores and all Compute Nodes) consumed by all Tasks in the Job.
        :type user_cpu_time: timedelta
        :param kernel_cpu_time: Required. The total kernel mode CPU time (summed
         across all cores and all Compute Nodes) consumed by all Tasks in the Job.
        :type kernel_cpu_time: timedelta
        :param wall_clock_time: Required. The total wall clock time of all Tasks
         in the Job.  The wall clock time is the elapsed time from when the Task
         started running on a Compute Node to when it finished (or to the last time
         the statistics were updated, if the Task had not finished by then). If a
         Task was retried, this includes the wall clock time of all the Task
         retries.
        :type wall_clock_time: timedelta
        :param read_iops: Required. The total number of disk read operations made
         by all Tasks in the Job.
        :type read_iops: long
        :param write_iops: Required. The total number of disk write operations
         made by all Tasks in the Job.
        :type write_iops: long
        :param read_io_gi_b: Required. The total amount of data in GiB read from
         disk by all Tasks in the Job.
        :type read_io_gi_b: float
        :param write_io_gi_b: Required. The total amount of data in GiB written to
         disk by all Tasks in the Job.
        :type write_io_gi_b: float
        :param num_succeeded_tasks: Required. The total number of Tasks
         successfully completed in the Job during the given time range. A Task
         completes successfully if it returns exit code 0.
        :type num_succeeded_tasks: long
        :param num_failed_tasks: Required. The total number of Tasks in the Job
         that failed during the given time range. A Task fails if it exhausts its
         maximum retry count without returning exit code 0.
        :type num_failed_tasks: long
        :param num_task_retries: Required. The total number of retries on all the
         Tasks in the Job during the given time range.
        :type num_task_retries: long
        :param wait_time: Required. The total wait time of all Tasks in the Job.
         The wait time for a Task is defined as the elapsed time between the
         creation of the Task and the start of Task execution. (If the Task is
         retried due to failures, the wait time is the time to the most recent Task
         execution.) This value is only reported in the Account lifetime
         statistics; it is not included in the Job statistics.
        :type wait_time: timedelta
        """

        _validation = {
            'url': {'required': True},
            'start_time': {'required': True},
            'last_update_time': {'required': True},
            'user_cpu_time': {'required': True},
            'kernel_cpu_time': {'required': True},
            'wall_clock_time': {'required': True},
            'read_iops': {'required': True},
            'write_iops': {'required': True},
            'read_io_gi_b': {'required': True},
            'write_io_gi_b': {'required': True},
            'num_succeeded_tasks': {'required': True},
            'num_failed_tasks': {'required': True},
            'num_task_retries': {'required': True},
            'wait_time': {'required': True},
        }

        _attribute_map = {
            'url': {'key': 'url', 'type': 'str'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
            'user_cpu_time': {'key': 'userCPUTime', 'type': 'duration'},
            'kernel_cpu_time': {'key': 'kernelCPUTime', 'type': 'duration'},
            'wall_clock_time': {'key': 'wallClockTime', 'type': 'duration'},
            'read_iops': {'key': 'readIOps', 'type': 'long'},
            'write_iops': {'key': 'writeIOps', 'type': 'long'},
            'read_io_gi_b': {'key': 'readIOGiB', 'type': 'float'},
            'write_io_gi_b': {'key': 'writeIOGiB', 'type': 'float'},
            'num_succeeded_tasks': {'key': 'numSucceededTasks', 'type': 'long'},
            'num_failed_tasks': {'key': 'numFailedTasks', 'type': 'long'},
            'num_task_retries': {'key': 'numTaskRetries', 'type': 'long'},
            'wait_time': {'key': 'waitTime', 'type': 'duration'},
        }

        def __init__(self, *, url: str, start_time, last_update_time, user_cpu_time, kernel_cpu_time, wall_clock_time, read_iops: int, write_iops: int, read_io_gi_b: float, write_io_gi_b: float, num_succeeded_tasks: int, num_failed_tasks: int, num_task_retries: int, wait_time, **kwargs) -> None:
            super(JobStatistics, self).__init__(**kwargs)
            self.url = url
            self.start_time = start_time
            self.last_update_time = last_update_time
            self.user_cpu_time = user_cpu_time
            self.kernel_cpu_time = kernel_cpu_time
            self.wall_clock_time = wall_clock_time
            self.read_iops = read_iops
            self.write_iops = write_iops
            self.read_io_gi_b = read_io_gi_b
            self.write_io_gi_b = write_io_gi_b
            self.num_succeeded_tasks = num_succeeded_tasks
            self.num_failed_tasks = num_failed_tasks
            self.num_task_retries = num_task_retries
            self.wait_time = wait_time

    class JobTerminateOptions(Model):
        """Additional parameters for terminate operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobTerminateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobTerminateParameter(Model):
        """Options when terminating a Job.

        :param terminate_reason: The text you want to appear as the Job's
         TerminateReason. The default is 'UserTerminate'.
        :type terminate_reason: str
        """

        _attribute_map = {
            'terminate_reason': {'key': 'terminateReason', 'type': 'str'},
        }

        def __init__(self, *, terminate_reason: str=None, **kwargs) -> None:
            super(JobTerminateParameter, self).__init__(**kwargs)
            self.terminate_reason = terminate_reason

    class JobUpdateOptions(Model):
        """Additional parameters for update operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(JobUpdateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class JobUpdateParameter(Model):
        """The set of changes to be made to a Job.

        All required parameters must be populated in order to send to Azure.

        :param priority: The priority of the Job. Priority values can range from
         -1000 to 1000, with -1000 being the lowest priority and 1000 being the
         highest priority. If omitted, it is set to the default value 0.
        :type priority: int
        :param constraints: The execution constraints for the Job. If omitted, the
         constraints are cleared.
        :type constraints: ~azure.batch.models.JobConstraints
        :param pool_info: Required. The Pool on which the Batch service runs the
         Job's Tasks. You may change the Pool for a Job only when the Job is
         disabled. The Update Job call will fail if you include the poolInfo
         element and the Job is not disabled. If you specify an
         autoPoolSpecification in the poolInfo, only the keepAlive property of the
         autoPoolSpecification can be updated, and then only if the
         autoPoolSpecification has a poolLifetimeOption of Job (other job
         properties can be updated as normal).
        :type pool_info: ~azure.batch.models.PoolInformation
        :param metadata: A list of name-value pairs associated with the Job as
         metadata. If omitted, it takes the default value of an empty list; in
         effect, any existing metadata is deleted.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param on_all_tasks_complete: The action the Batch service should take
         when all Tasks in the Job are in the completed state. If omitted, the
         completion behavior is set to noaction. If the current value is
         terminatejob, this is an error because a Job's completion behavior may not
         be changed from terminatejob to noaction. You may not change the value
         from terminatejob to noaction - that is, once you have engaged automatic
         Job termination, you cannot turn it off again. If you try to do this, the
         request fails and Batch returns status code 400 (Bad Request) and an
         'invalid property value' error response. If you do not specify this
         element in a PUT request, it is equivalent to passing noaction. This is an
         error if the current value is terminatejob. Possible values include:
         'noAction', 'terminateJob'
        :type on_all_tasks_complete: str or ~azure.batch.models.OnAllTasksComplete
        """

        _validation = {
            'pool_info': {'required': True},
        }

        _attribute_map = {
            'priority': {'key': 'priority', 'type': 'int'},
            'constraints': {'key': 'constraints', 'type': 'JobConstraints'},
            'pool_info': {'key': 'poolInfo', 'type': 'PoolInformation'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'on_all_tasks_complete': {'key': 'onAllTasksComplete', 'type': 'OnAllTasksComplete'},
        }

        def __init__(self, *, pool_info, priority: int=None, constraints=None, metadata=None, on_all_tasks_complete=None, **kwargs) -> None:
            super(JobUpdateParameter, self).__init__(**kwargs)
            self.priority = priority
            self.constraints = constraints
            self.pool_info = pool_info
            self.metadata = metadata
            self.on_all_tasks_complete = on_all_tasks_complete

    class LinuxUserConfiguration(Model):
        """Properties used to create a user Account on a Linux Compute Node.

        :param uid: The user ID of the user Account. The uid and gid properties
         must be specified together or not at all. If not specified the underlying
         operating system picks the uid.
        :type uid: int
        :param gid: The group ID for the user Account. The uid and gid properties
         must be specified together or not at all. If not specified the underlying
         operating system picks the gid.
        :type gid: int
        :param ssh_private_key: The SSH private key for the user Account. The
         private key must not be password protected. The private key is used to
         automatically configure asymmetric-key based authentication for SSH
         between Compute Nodes in a Linux Pool when the Pool's
         enableInterNodeCommunication property is true (it is ignored if
         enableInterNodeCommunication is false). It does this by placing the key
         pair into the user's .ssh directory. If not specified, password-less SSH
         is not configured between Compute Nodes (no modification of the user's
         .ssh directory is done).
        :type ssh_private_key: str
        """

        _attribute_map = {
            'uid': {'key': 'uid', 'type': 'int'},
            'gid': {'key': 'gid', 'type': 'int'},
            'ssh_private_key': {'key': 'sshPrivateKey', 'type': 'str'},
        }

        def __init__(self, *, uid: int=None, gid: int=None, ssh_private_key: str=None, **kwargs) -> None:
            super(LinuxUserConfiguration, self).__init__(**kwargs)
            self.uid = uid
            self.gid = gid
            self.ssh_private_key = ssh_private_key

    class MetadataItem(Model):
        """A name-value pair associated with a Batch service resource.

        The Batch service does not assign any meaning to this metadata; it is
        solely for the use of user code.

        All required parameters must be populated in order to send to Azure.

        :param name: Required. The name of the metadata item.
        :type name: str
        :param value: Required. The value of the metadata item.
        :type value: str
        """

        _validation = {
            'name': {'required': True},
            'value': {'required': True},
        }

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'value': {'key': 'value', 'type': 'str'},
        }

        def __init__(self, *, name: str, value: str, **kwargs) -> None:
            super(MetadataItem, self).__init__(**kwargs)
            self.name = name
            self.value = value

    class MountConfiguration(Model):
        """The file system to mount on each node.

        :param azure_blob_file_system_configuration: The Azure Storage Container
         to mount using blob FUSE on each node. This property is mutually exclusive
         with all other properties.
        :type azure_blob_file_system_configuration:
         ~azure.batch.models.AzureBlobFileSystemConfiguration
        :param nfs_mount_configuration: The NFS file system to mount on each node.
         This property is mutually exclusive with all other properties.
        :type nfs_mount_configuration: ~azure.batch.models.NFSMountConfiguration
        :param cifs_mount_configuration: The CIFS/SMB file system to mount on each
         node. This property is mutually exclusive with all other properties.
        :type cifs_mount_configuration: ~azure.batch.models.CIFSMountConfiguration
        :param azure_file_share_configuration: The Azure File Share to mount on
         each node. This property is mutually exclusive with all other properties.
        :type azure_file_share_configuration:
         ~azure.batch.models.AzureFileShareConfiguration
        """

        _attribute_map = {
            'azure_blob_file_system_configuration': {'key': 'azureBlobFileSystemConfiguration', 'type': 'AzureBlobFileSystemConfiguration'},
            'nfs_mount_configuration': {'key': 'nfsMountConfiguration', 'type': 'NFSMountConfiguration'},
            'cifs_mount_configuration': {'key': 'cifsMountConfiguration', 'type': 'CIFSMountConfiguration'},
            'azure_file_share_configuration': {'key': 'azureFileShareConfiguration', 'type': 'AzureFileShareConfiguration'},
        }

        def __init__(self, *, azure_blob_file_system_configuration=None, nfs_mount_configuration=None, cifs_mount_configuration=None, azure_file_share_configuration=None, **kwargs) -> None:
            super(MountConfiguration, self).__init__(**kwargs)
            self.azure_blob_file_system_configuration = azure_blob_file_system_configuration
            self.nfs_mount_configuration = nfs_mount_configuration
            self.cifs_mount_configuration = cifs_mount_configuration
            self.azure_file_share_configuration = azure_file_share_configuration

    class MultiInstanceSettings(Model):
        """Settings which specify how to run a multi-instance Task.

        Multi-instance Tasks are commonly used to support MPI Tasks. In the MPI
        case, if any of the subtasks fail (for example due to exiting with a
        non-zero exit code) the entire multi-instance Task fails. The
        multi-instance Task is then terminated and retried, up to its retry limit.

        All required parameters must be populated in order to send to Azure.

        :param number_of_instances: The number of Compute Nodes required by the
         Task. If omitted, the default is 1.
        :type number_of_instances: int
        :param coordination_command_line: Required. The command line to run on all
         the Compute Nodes to enable them to coordinate when the primary runs the
         main Task command. A typical coordination command line launches a
         background service and verifies that the service is ready to process
         inter-node messages.
        :type coordination_command_line: str
        :param common_resource_files: A list of files that the Batch service will
         download before running the coordination command line. The difference
         between common resource files and Task resource files is that common
         resource files are downloaded for all subtasks including the primary,
         whereas Task resource files are downloaded only for the primary. Also note
         that these resource files are not downloaded to the Task working
         directory, but instead are downloaded to the Task root directory (one
         directory above the working directory).  There is a maximum size for the
         list of resource files.  When the max size is exceeded, the request will
         fail and the response error code will be RequestEntityTooLarge. If this
         occurs, the collection of ResourceFiles must be reduced in size. This can
         be achieved using .zip files, Application Packages, or Docker Containers.
        :type common_resource_files: list[~azure.batch.models.ResourceFile]
        """

        _validation = {
            'coordination_command_line': {'required': True},
        }

        _attribute_map = {
            'number_of_instances': {'key': 'numberOfInstances', 'type': 'int'},
            'coordination_command_line': {'key': 'coordinationCommandLine', 'type': 'str'},
            'common_resource_files': {'key': 'commonResourceFiles', 'type': '[ResourceFile]'},
        }

        def __init__(self, *, coordination_command_line: str, number_of_instances: int=None, common_resource_files=None, **kwargs) -> None:
            super(MultiInstanceSettings, self).__init__(**kwargs)
            self.number_of_instances = number_of_instances
            self.coordination_command_line = coordination_command_line
            self.common_resource_files = common_resource_files

    class NameValuePair(Model):
        """Represents a name-value pair.

        :param name: The name in the name-value pair.
        :type name: str
        :param value: The value in the name-value pair.
        :type value: str
        """

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'value': {'key': 'value', 'type': 'str'},
        }

        def __init__(self, *, name: str=None, value: str=None, **kwargs) -> None:
            super(NameValuePair, self).__init__(**kwargs)
            self.name = name
            self.value = value

    class NetworkConfiguration(Model):
        """The network configuration for a Pool.

        :param subnet_id: The ARM resource identifier of the virtual network
         subnet which the Compute Nodes of the Pool will join. This is of the form
         /subscriptions/{subscription}/resourceGroups/{group}/providers/{provider}/virtualNetworks/{network}/subnets/{subnet}.
         The virtual network must be in the same region and subscription as the
         Azure Batch Account. The specified subnet should have enough free IP
         addresses to accommodate the number of Compute Nodes in the Pool. If the
         subnet doesn't have enough free IP addresses, the Pool will partially
         allocate Nodes, and a resize error will occur. The 'MicrosoftAzureBatch'
         service principal must have the 'Classic Virtual Machine Contributor'
         Role-Based Access Control (RBAC) role for the specified VNet. The
         specified subnet must allow communication from the Azure Batch service to
         be able to schedule Tasks on the Nodes. This can be verified by checking
         if the specified VNet has any associated Network Security Groups (NSG). If
         communication to the Nodes in the specified subnet is denied by an NSG,
         then the Batch service will set the state of the Compute Nodes to
         unusable. For Pools created with virtualMachineConfiguration only ARM
         virtual networks ('Microsoft.Network/virtualNetworks') are supported, but
         for Pools created with cloudServiceConfiguration both ARM and classic
         virtual networks are supported. If the specified VNet has any associated
         Network Security Groups (NSG), then a few reserved system ports must be
         enabled for inbound communication. For Pools created with a virtual
         machine configuration, enable ports 29876 and 29877, as well as port 22
         for Linux and port 3389 for Windows. For Pools created with a cloud
         service configuration, enable ports 10100, 20100, and 30100. Also enable
         outbound connections to Azure Storage on port 443. For more details see:
         https://docs.microsoft.com/en-us/azure/batch/batch-api-basics#virtual-network-vnet-and-firewall-configuration
        :type subnet_id: str
        :param dynamic_vnet_assignment_scope: The scope of dynamic vnet
         assignment. Possible values include: 'none', 'job'
        :type dynamic_vnet_assignment_scope: str or
         ~azure.batch.models.DynamicVNetAssignmentScope
        :param endpoint_configuration: The configuration for endpoints on Compute
         Nodes in the Batch Pool. Pool endpoint configuration is only supported on
         Pools with the virtualMachineConfiguration property.
        :type endpoint_configuration:
         ~azure.batch.models.PoolEndpointConfiguration
        :param public_ips: The list of public IPs which the Batch service will use
         when provisioning Compute Nodes. The number of IPs specified here limits
         the maximum size of the Pool - 50 dedicated nodes or 20 low-priority nodes
         can be allocated for each public IP. For example, a pool needing 150
         dedicated VMs would need at least 3 public IPs specified. Each element of
         this collection is of the form:
         /subscriptions/{subscription}/resourceGroups/{group}/providers/Microsoft.Network/publicIPAddresses/{ip}.
        :type public_ips: list[str]
        """

        _attribute_map = {
            'subnet_id': {'key': 'subnetId', 'type': 'str'},
            'dynamic_vnet_assignment_scope': {'key': 'dynamicVNetAssignmentScope', 'type': 'DynamicVNetAssignmentScope'},
            'endpoint_configuration': {'key': 'endpointConfiguration', 'type': 'PoolEndpointConfiguration'},
            'public_ips': {'key': 'publicIPs', 'type': '[str]'},
        }

        def __init__(self, *, subnet_id: str=None, dynamic_vnet_assignment_scope=None, endpoint_configuration=None, public_ips=None, **kwargs) -> None:
            super(NetworkConfiguration, self).__init__(**kwargs)
            self.subnet_id = subnet_id
            self.dynamic_vnet_assignment_scope = dynamic_vnet_assignment_scope
            self.endpoint_configuration = endpoint_configuration
            self.public_ips = public_ips

    class NetworkSecurityGroupRule(Model):
        """A network security group rule to apply to an inbound endpoint.

        All required parameters must be populated in order to send to Azure.

        :param priority: Required. The priority for this rule. Priorities within a
         Pool must be unique and are evaluated in order of priority. The lower the
         number the higher the priority. For example, rules could be specified with
         order numbers of 150, 250, and 350. The rule with the order number of 150
         takes precedence over the rule that has an order of 250. Allowed
         priorities are 150 to 3500. If any reserved or duplicate values are
         provided the request fails with HTTP status code 400.
        :type priority: int
        :param access: Required. The action that should be taken for a specified
         IP address, subnet range or tag. Possible values include: 'allow', 'deny'
        :type access: str or ~azure.batch.models.NetworkSecurityGroupRuleAccess
        :param source_address_prefix: Required. The source address prefix or tag
         to match for the rule. Valid values are a single IP address (i.e.
         10.10.10.10), IP subnet (i.e. 192.168.1.0/24), default tag, or * (for all
         addresses).  If any other values are provided the request fails with HTTP
         status code 400.
        :type source_address_prefix: str
        :param source_port_ranges: The source port ranges to match for the rule.
         Valid values are '*' (for all ports 0 - 65535), a specific port (i.e. 22),
         or a port range (i.e. 100-200). The ports must be in the range of 0 to
         65535. Each entry in this collection must not overlap any other entry
         (either a range or an individual port). If any other values are provided
         the request fails with HTTP status code 400. The default value is '*'.
        :type source_port_ranges: list[str]
        """

        _validation = {
            'priority': {'required': True},
            'access': {'required': True},
            'source_address_prefix': {'required': True},
        }

        _attribute_map = {
            'priority': {'key': 'priority', 'type': 'int'},
            'access': {'key': 'access', 'type': 'NetworkSecurityGroupRuleAccess'},
            'source_address_prefix': {'key': 'sourceAddressPrefix', 'type': 'str'},
            'source_port_ranges': {'key': 'sourcePortRanges', 'type': '[str]'},
        }

        def __init__(self, *, priority: int, access, source_address_prefix: str, source_port_ranges=None, **kwargs) -> None:
            super(NetworkSecurityGroupRule, self).__init__(**kwargs)
            self.priority = priority
            self.access = access
            self.source_address_prefix = source_address_prefix
            self.source_port_ranges = source_port_ranges

    class NFSMountConfiguration(Model):
        """Information used to connect to an NFS file system.

        All required parameters must be populated in order to send to Azure.

        :param source: Required. The URI of the file system to mount.
        :type source: str
        :param relative_mount_path: Required. The relative path on the compute
         node where the file system will be mounted. All file systems are mounted
         relative to the Batch mounts directory, accessible via the
         AZ_BATCH_NODE_MOUNTS_DIR environment variable.
        :type relative_mount_path: str
        :param mount_options: Additional command line options to pass to the mount
         command. These are 'net use' options in Windows and 'mount' options in
         Linux.
        :type mount_options: str
        """

        _validation = {
            'source': {'required': True},
            'relative_mount_path': {'required': True},
        }

        _attribute_map = {
            'source': {'key': 'source', 'type': 'str'},
            'relative_mount_path': {'key': 'relativeMountPath', 'type': 'str'},
            'mount_options': {'key': 'mountOptions', 'type': 'str'},
        }

        def __init__(self, *, source: str, relative_mount_path: str, mount_options: str=None, **kwargs) -> None:
            super(NFSMountConfiguration, self).__init__(**kwargs)
            self.source = source
            self.relative_mount_path = relative_mount_path
            self.mount_options = mount_options

    class NodeAgentInformation(Model):
        """Information about the Compute Node agent.

        The Batch Compute Node agent is a program that runs on each Compute Node in
        the Pool and provides Batch capability on the Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param version: Required. The version of the Batch Compute Node agent
         running on the Compute Node. This version number can be checked against
         the Compute Node agent release notes located at
         https://github.com/Azure/Batch/blob/master/changelogs/nodeagent/CHANGELOG.md.
        :type version: str
        :param last_update_time: Required. The time when the Compute Node agent
         was updated on the Compute Node. This is the most recent time that the
         Compute Node agent was updated to a new version.
        :type last_update_time: datetime
        """

        _validation = {
            'version': {'required': True},
            'last_update_time': {'required': True},
        }

        _attribute_map = {
            'version': {'key': 'version', 'type': 'str'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
        }

        def __init__(self, *, version: str, last_update_time, **kwargs) -> None:
            super(NodeAgentInformation, self).__init__(**kwargs)
            self.version = version
            self.last_update_time = last_update_time

    class NodeCounts(Model):
        """The number of Compute Nodes in each Compute Node state.

        All required parameters must be populated in order to send to Azure.

        :param creating: Required. The number of Compute Nodes in the creating
         state.
        :type creating: int
        :param idle: Required. The number of Compute Nodes in the idle state.
        :type idle: int
        :param offline: Required. The number of Compute Nodes in the offline
         state.
        :type offline: int
        :param preempted: Required. The number of Compute Nodes in the preempted
         state.
        :type preempted: int
        :param rebooting: Required. The count of Compute Nodes in the rebooting
         state.
        :type rebooting: int
        :param reimaging: Required. The number of Compute Nodes in the reimaging
         state.
        :type reimaging: int
        :param running: Required. The number of Compute Nodes in the running
         state.
        :type running: int
        :param starting: Required. The number of Compute Nodes in the starting
         state.
        :type starting: int
        :param start_task_failed: Required. The number of Compute Nodes in the
         startTaskFailed state.
        :type start_task_failed: int
        :param leaving_pool: Required. The number of Compute Nodes in the
         leavingPool state.
        :type leaving_pool: int
        :param unknown: Required. The number of Compute Nodes in the unknown
         state.
        :type unknown: int
        :param unusable: Required. The number of Compute Nodes in the unusable
         state.
        :type unusable: int
        :param waiting_for_start_task: Required. The number of Compute Nodes in
         the waitingForStartTask state.
        :type waiting_for_start_task: int
        :param total: Required. The total number of Compute Nodes.
        :type total: int
        """

        _validation = {
            'creating': {'required': True},
            'idle': {'required': True},
            'offline': {'required': True},
            'preempted': {'required': True},
            'rebooting': {'required': True},
            'reimaging': {'required': True},
            'running': {'required': True},
            'starting': {'required': True},
            'start_task_failed': {'required': True},
            'leaving_pool': {'required': True},
            'unknown': {'required': True},
            'unusable': {'required': True},
            'waiting_for_start_task': {'required': True},
            'total': {'required': True},
        }

        _attribute_map = {
            'creating': {'key': 'creating', 'type': 'int'},
            'idle': {'key': 'idle', 'type': 'int'},
            'offline': {'key': 'offline', 'type': 'int'},
            'preempted': {'key': 'preempted', 'type': 'int'},
            'rebooting': {'key': 'rebooting', 'type': 'int'},
            'reimaging': {'key': 'reimaging', 'type': 'int'},
            'running': {'key': 'running', 'type': 'int'},
            'starting': {'key': 'starting', 'type': 'int'},
            'start_task_failed': {'key': 'startTaskFailed', 'type': 'int'},
            'leaving_pool': {'key': 'leavingPool', 'type': 'int'},
            'unknown': {'key': 'unknown', 'type': 'int'},
            'unusable': {'key': 'unusable', 'type': 'int'},
            'waiting_for_start_task': {'key': 'waitingForStartTask', 'type': 'int'},
            'total': {'key': 'total', 'type': 'int'},
        }

        def __init__(self, *, creating: int, idle: int, offline: int, preempted: int, rebooting: int, reimaging: int, running: int, starting: int, start_task_failed: int, leaving_pool: int, unknown: int, unusable: int, waiting_for_start_task: int, total: int, **kwargs) -> None:
            super(NodeCounts, self).__init__(**kwargs)
            self.creating = creating
            self.idle = idle
            self.offline = offline
            self.preempted = preempted
            self.rebooting = rebooting
            self.reimaging = reimaging
            self.running = running
            self.starting = starting
            self.start_task_failed = start_task_failed
            self.leaving_pool = leaving_pool
            self.unknown = unknown
            self.unusable = unusable
            self.waiting_for_start_task = waiting_for_start_task
            self.total = total

    class NodeDisableSchedulingParameter(Model):
        """Options for disabling scheduling on a Compute Node.

        :param node_disable_scheduling_option: What to do with currently running
         Tasks when disabling Task scheduling on the Compute Node. The default
         value is requeue. Possible values include: 'requeue', 'terminate',
         'taskCompletion'
        :type node_disable_scheduling_option: str or
         ~azure.batch.models.DisableComputeNodeSchedulingOption
        """

        _attribute_map = {
            'node_disable_scheduling_option': {'key': 'nodeDisableSchedulingOption', 'type': 'DisableComputeNodeSchedulingOption'},
        }

        def __init__(self, *, node_disable_scheduling_option=None, **kwargs) -> None:
            super(NodeDisableSchedulingParameter, self).__init__(**kwargs)
            self.node_disable_scheduling_option = node_disable_scheduling_option

    class NodeFile(Model):
        """Information about a file or directory on a Compute Node.

        :param name: The file path.
        :type name: str
        :param url: The URL of the file.
        :type url: str
        :param is_directory: Whether the object represents a directory.
        :type is_directory: bool
        :param properties: The file properties.
        :type properties: ~azure.batch.models.FileProperties
        """

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
            'is_directory': {'key': 'isDirectory', 'type': 'bool'},
            'properties': {'key': 'properties', 'type': 'FileProperties'},
        }

        def __init__(self, *, name: str=None, url: str=None, is_directory: bool=None, properties=None, **kwargs) -> None:
            super(NodeFile, self).__init__(**kwargs)
            self.name = name
            self.url = url
            self.is_directory = is_directory
            self.properties = properties

    class NodeRebootParameter(Model):
        """Options for rebooting a Compute Node.

        :param node_reboot_option: When to reboot the Compute Node and what to do
         with currently running Tasks. The default value is requeue. Possible
         values include: 'requeue', 'terminate', 'taskCompletion', 'retainedData'
        :type node_reboot_option: str or
         ~azure.batch.models.ComputeNodeRebootOption
        """

        _attribute_map = {
            'node_reboot_option': {'key': 'nodeRebootOption', 'type': 'ComputeNodeRebootOption'},
        }

        def __init__(self, *, node_reboot_option=None, **kwargs) -> None:
            super(NodeRebootParameter, self).__init__(**kwargs)
            self.node_reboot_option = node_reboot_option

    class NodeReimageParameter(Model):
        """Options for reimaging a Compute Node.

        :param node_reimage_option: When to reimage the Compute Node and what to
         do with currently running Tasks. The default value is requeue. Possible
         values include: 'requeue', 'terminate', 'taskCompletion', 'retainedData'
        :type node_reimage_option: str or
         ~azure.batch.models.ComputeNodeReimageOption
        """

        _attribute_map = {
            'node_reimage_option': {'key': 'nodeReimageOption', 'type': 'ComputeNodeReimageOption'},
        }

        def __init__(self, *, node_reimage_option=None, **kwargs) -> None:
            super(NodeReimageParameter, self).__init__(**kwargs)
            self.node_reimage_option = node_reimage_option

    class NodeRemoveParameter(Model):
        """Options for removing Compute Nodes from a Pool.

        All required parameters must be populated in order to send to Azure.

        :param node_list: Required. A list containing the IDs of the Compute Nodes
         to be removed from the specified Pool.
        :type node_list: list[str]
        :param resize_timeout: The timeout for removal of Compute Nodes to the
         Pool. The default value is 15 minutes. The minimum value is 5 minutes. If
         you specify a value less than 5 minutes, the Batch service returns an
         error; if you are calling the REST API directly, the HTTP status code is
         400 (Bad Request).
        :type resize_timeout: timedelta
        :param node_deallocation_option: Determines what to do with a Compute Node
         and its running task(s) after it has been selected for deallocation. The
         default value is requeue. Possible values include: 'requeue', 'terminate',
         'taskCompletion', 'retainedData'
        :type node_deallocation_option: str or
         ~azure.batch.models.ComputeNodeDeallocationOption
        """

        _validation = {
            'node_list': {'required': True, 'max_items': 100},
        }

        _attribute_map = {
            'node_list': {'key': 'nodeList', 'type': '[str]'},
            'resize_timeout': {'key': 'resizeTimeout', 'type': 'duration'},
            'node_deallocation_option': {'key': 'nodeDeallocationOption', 'type': 'ComputeNodeDeallocationOption'},
        }

        def __init__(self, *, node_list, resize_timeout=None, node_deallocation_option=None, **kwargs) -> None:
            super(NodeRemoveParameter, self).__init__(**kwargs)
            self.node_list = node_list
            self.resize_timeout = resize_timeout
            self.node_deallocation_option = node_deallocation_option

    class NodeUpdateUserParameter(Model):
        """The set of changes to be made to a user Account on a Compute Node.

        :param password: The password of the Account. The password is required for
         Windows Compute Nodes (those created with 'cloudServiceConfiguration', or
         created with 'virtualMachineConfiguration' using a Windows Image
         reference). For Linux Compute Nodes, the password can optionally be
         specified along with the sshPublicKey property. If omitted, any existing
         password is removed.
        :type password: str
        :param expiry_time: The time at which the Account should expire. If
         omitted, the default is 1 day from the current time. For Linux Compute
         Nodes, the expiryTime has a precision up to a day.
        :type expiry_time: datetime
        :param ssh_public_key: The SSH public key that can be used for remote
         login to the Compute Node. The public key should be compatible with
         OpenSSH encoding and should be base 64 encoded. This property can be
         specified only for Linux Compute Nodes. If this is specified for a Windows
         Compute Node, then the Batch service rejects the request; if you are
         calling the REST API directly, the HTTP status code is 400 (Bad Request).
         If omitted, any existing SSH public key is removed.
        :type ssh_public_key: str
        """

        _attribute_map = {
            'password': {'key': 'password', 'type': 'str'},
            'expiry_time': {'key': 'expiryTime', 'type': 'iso-8601'},
            'ssh_public_key': {'key': 'sshPublicKey', 'type': 'str'},
        }

        def __init__(self, *, password: str=None, expiry_time=None, ssh_public_key: str=None, **kwargs) -> None:
            super(NodeUpdateUserParameter, self).__init__(**kwargs)
            self.password = password
            self.expiry_time = expiry_time
            self.ssh_public_key = ssh_public_key

    class OutputFile(Model):
        """A specification for uploading files from an Azure Batch Compute Node to
        another location after the Batch service has finished executing the Task
        process.

        All required parameters must be populated in order to send to Azure.

        :param file_pattern: Required. A pattern indicating which file(s) to
         upload. Both relative and absolute paths are supported. Relative paths are
         relative to the Task working directory. The following wildcards are
         supported: * matches 0 or more characters (for example pattern abc* would
         match abc or abcdef), ** matches any directory, ? matches any single
         character, [abc] matches one character in the brackets, and [a-c] matches
         one character in the range. Brackets can include a negation to match any
         character not specified (for example [!abc] matches any character but a,
         b, or c). If a file name starts with "." it is ignored by default but may
         be matched by specifying it explicitly (for example *.gif will not match
         .a.gif, but .*.gif will). A simple example: **\\*.txt matches any file
         that does not start in '.' and ends with .txt in the Task working
         directory or any subdirectory. If the filename contains a wildcard
         character it can be escaped using brackets (for example abc[*] would match
         a file named abc*). Note that both \\ and / are treated as directory
         separators on Windows, but only / is on Linux. Environment variables
         (%var% on Windows or $var on Linux) are expanded prior to the pattern
         being applied.
        :type file_pattern: str
        :param destination: Required. The destination for the output file(s).
        :type destination: ~azure.batch.models.OutputFileDestination
        :param upload_options: Required. Additional options for the upload
         operation, including under what conditions to perform the upload.
        :type upload_options: ~azure.batch.models.OutputFileUploadOptions
        """

        _validation = {
            'file_pattern': {'required': True},
            'destination': {'required': True},
            'upload_options': {'required': True},
        }

        _attribute_map = {
            'file_pattern': {'key': 'filePattern', 'type': 'str'},
            'destination': {'key': 'destination', 'type': 'OutputFileDestination'},
            'upload_options': {'key': 'uploadOptions', 'type': 'OutputFileUploadOptions'},
        }

        def __init__(self, *, file_pattern: str, destination, upload_options, **kwargs) -> None:
            super(OutputFile, self).__init__(**kwargs)
            self.file_pattern = file_pattern
            self.destination = destination
            self.upload_options = upload_options

    class OutputFileBlobContainerDestination(Model):
        """Specifies a file upload destination within an Azure blob storage container.

        All required parameters must be populated in order to send to Azure.

        :param path: The destination blob or virtual directory within the Azure
         Storage container. If filePattern refers to a specific file (i.e. contains
         no wildcards), then path is the name of the blob to which to upload that
         file. If filePattern contains one or more wildcards (and therefore may
         match multiple files), then path is the name of the blob virtual directory
         (which is prepended to each blob name) to which to upload the file(s). If
         omitted, file(s) are uploaded to the root of the container with a blob
         name matching their file name.
        :type path: str
        :param container_url: Required. The URL of the container within Azure Blob
         Storage to which to upload the file(s). The URL must include a Shared
         Access Signature (SAS) granting write permissions to the container.
        :type container_url: str
        """

        _validation = {
            'container_url': {'required': True},
        }

        _attribute_map = {
            'path': {'key': 'path', 'type': 'str'},
            'container_url': {'key': 'containerUrl', 'type': 'str'},
        }

        def __init__(self, *, container_url: str, path: str=None, **kwargs) -> None:
            super(OutputFileBlobContainerDestination, self).__init__(**kwargs)
            self.path = path
            self.container_url = container_url

    class OutputFileDestination(Model):
        """The destination to which a file should be uploaded.

        :param container: A location in Azure blob storage to which files are
         uploaded.
        :type container: ~azure.batch.models.OutputFileBlobContainerDestination
        """

        _attribute_map = {
            'container': {'key': 'container', 'type': 'OutputFileBlobContainerDestination'},
        }

        def __init__(self, *, container=None, **kwargs) -> None:
            super(OutputFileDestination, self).__init__(**kwargs)
            self.container = container

    class OutputFileUploadOptions(Model):
        """Details about an output file upload operation, including under what
        conditions to perform the upload.

        All required parameters must be populated in order to send to Azure.

        :param upload_condition: Required. The conditions under which the Task
         output file or set of files should be uploaded. The default is
         taskcompletion. Possible values include: 'taskSuccess', 'taskFailure',
         'taskCompletion'
        :type upload_condition: str or
         ~azure.batch.models.OutputFileUploadCondition
        """

        _validation = {
            'upload_condition': {'required': True},
        }

        _attribute_map = {
            'upload_condition': {'key': 'uploadCondition', 'type': 'OutputFileUploadCondition'},
        }

        def __init__(self, *, upload_condition, **kwargs) -> None:
            super(OutputFileUploadOptions, self).__init__(**kwargs)
            self.upload_condition = upload_condition

    class PoolAddOptions(Model):
        """Additional parameters for add operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolAddOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolAddParameter(Model):
        """A Pool in the Azure Batch service to add.

        All required parameters must be populated in order to send to Azure.

        :param id: Required. A string that uniquely identifies the Pool within the
         Account. The ID can contain any combination of alphanumeric characters
         including hyphens and underscores, and cannot contain more than 64
         characters. The ID is case-preserving and case-insensitive (that is, you
         may not have two Pool IDs within an Account that differ only by case).
        :type id: str
        :param display_name: The display name for the Pool. The display name need
         not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param vm_size: Required. The size of virtual machines in the Pool. All
         virtual machines in a Pool are the same size. For information about
         available sizes of virtual machines for Cloud Services Pools (pools
         created with cloudServiceConfiguration), see Sizes for Cloud Services
         (https://azure.microsoft.com/documentation/articles/cloud-services-sizes-specs/).
         Batch supports all Cloud Services VM sizes except ExtraSmall, A1V2 and
         A2V2. For information about available VM sizes for Pools using Images from
         the Virtual Machines Marketplace (pools created with
         virtualMachineConfiguration) see Sizes for Virtual Machines (Linux)
         (https://azure.microsoft.com/documentation/articles/virtual-machines-linux-sizes/)
         or Sizes for Virtual Machines (Windows)
         (https://azure.microsoft.com/documentation/articles/virtual-machines-windows-sizes/).
         Batch supports all Azure VM sizes except STANDARD_A0 and those with
         premium storage (STANDARD_GS, STANDARD_DS, and STANDARD_DSV2 series).
        :type vm_size: str
        :param cloud_service_configuration: The cloud service configuration for
         the Pool. This property and virtualMachineConfiguration are mutually
         exclusive and one of the properties must be specified. This property
         cannot be specified if the Batch Account was created with its
         poolAllocationMode property set to 'UserSubscription'.
        :type cloud_service_configuration:
         ~azure.batch.models.CloudServiceConfiguration
        :param virtual_machine_configuration: The virtual machine configuration
         for the Pool. This property and cloudServiceConfiguration are mutually
         exclusive and one of the properties must be specified.
        :type virtual_machine_configuration:
         ~azure.batch.models.VirtualMachineConfiguration
        :param resize_timeout: The timeout for allocation of Compute Nodes to the
         Pool. This timeout applies only to manual scaling; it has no effect when
         enableAutoScale is set to true. The default value is 15 minutes. The
         minimum value is 5 minutes. If you specify a value less than 5 minutes,
         the Batch service returns an error; if you are calling the REST API
         directly, the HTTP status code is 400 (Bad Request).
        :type resize_timeout: timedelta
        :param target_dedicated_nodes: The desired number of dedicated Compute
         Nodes in the Pool. This property must not be specified if enableAutoScale
         is set to true. If enableAutoScale is set to false, then you must set
         either targetDedicatedNodes, targetLowPriorityNodes, or both.
        :type target_dedicated_nodes: int
        :param target_low_priority_nodes: The desired number of low-priority
         Compute Nodes in the Pool. This property must not be specified if
         enableAutoScale is set to true. If enableAutoScale is set to false, then
         you must set either targetDedicatedNodes, targetLowPriorityNodes, or both.
        :type target_low_priority_nodes: int
        :param enable_auto_scale: Whether the Pool size should automatically
         adjust over time. If false, at least one of targetDedicateNodes and
         targetLowPriorityNodes must be specified. If true, the autoScaleFormula
         property is required and the Pool automatically resizes according to the
         formula. The default value is false.
        :type enable_auto_scale: bool
        :param auto_scale_formula: A formula for the desired number of Compute
         Nodes in the Pool. This property must not be specified if enableAutoScale
         is set to false. It is required if enableAutoScale is set to true. The
         formula is checked for validity before the Pool is created. If the formula
         is not valid, the Batch service rejects the request with detailed error
         information. For more information about specifying this formula, see
         'Automatically scale Compute Nodes in an Azure Batch Pool'
         (https://azure.microsoft.com/documentation/articles/batch-automatic-scaling/).
        :type auto_scale_formula: str
        :param auto_scale_evaluation_interval: The time interval at which to
         automatically adjust the Pool size according to the autoscale formula. The
         default value is 15 minutes. The minimum and maximum value are 5 minutes
         and 168 hours respectively. If you specify a value less than 5 minutes or
         greater than 168 hours, the Batch service returns an error; if you are
         calling the REST API directly, the HTTP status code is 400 (Bad Request).
        :type auto_scale_evaluation_interval: timedelta
        :param enable_inter_node_communication: Whether the Pool permits direct
         communication between Compute Nodes. Enabling inter-node communication
         limits the maximum size of the Pool due to deployment restrictions on the
         Compute Nodes of the Pool. This may result in the Pool not reaching its
         desired size. The default value is false.
        :type enable_inter_node_communication: bool
        :param network_configuration: The network configuration for the Pool.
        :type network_configuration: ~azure.batch.models.NetworkConfiguration
        :param start_task: A Task specified to run on each Compute Node as it
         joins the Pool. The Task runs when the Compute Node is added to the Pool
         or when the Compute Node is restarted.
        :type start_task: ~azure.batch.models.StartTask
        :param certificate_references: The list of Certificates to be installed on
         each Compute Node in the Pool. For Windows Nodes, the Batch service
         installs the Certificates to the specified Certificate store and location.
         For Linux Compute Nodes, the Certificates are stored in a directory inside
         the Task working directory and an environment variable
         AZ_BATCH_CERTIFICATES_DIR is supplied to the Task to query for this
         location. For Certificates with visibility of 'remoteUser', a 'certs'
         directory is created in the user's home directory (e.g.,
         /home/{user-name}/certs) and Certificates are placed in that directory.
        :type certificate_references:
         list[~azure.batch.models.CertificateReference]
        :param application_package_references: The list of Packages to be
         installed on each Compute Node in the Pool. Changes to Package references
         affect all new Nodes joining the Pool, but do not affect Compute Nodes
         that are already in the Pool until they are rebooted or reimaged. There is
         a maximum of 10 Package references on any given Pool.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param application_licenses: The list of application licenses the Batch
         service will make available on each Compute Node in the Pool. The list of
         application licenses must be a subset of available Batch service
         application licenses. If a license is requested which is not supported,
         Pool creation will fail.
        :type application_licenses: list[str]
        :param max_tasks_per_node: The maximum number of Tasks that can run
         concurrently on a single Compute Node in the Pool. The default value is 1.
         The maximum value is the smaller of 4 times the number of cores of the
         vmSize of the Pool or 256.
        :type max_tasks_per_node: int
        :param task_scheduling_policy: How Tasks are distributed across Compute
         Nodes in a Pool. If not specified, the default is spread.
        :type task_scheduling_policy: ~azure.batch.models.TaskSchedulingPolicy
        :param user_accounts: The list of user Accounts to be created on each
         Compute Node in the Pool.
        :type user_accounts: list[~azure.batch.models.UserAccount]
        :param metadata: A list of name-value pairs associated with the Pool as
         metadata. The Batch service does not assign any meaning to metadata; it is
         solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param mount_configuration: Mount storage using specified file system for
         the entire lifetime of the pool. Mount the storage using Azure fileshare,
         NFS, CIFS or Blobfuse based file system.
        :type mount_configuration: list[~azure.batch.models.MountConfiguration]
        """

        _validation = {
            'id': {'required': True},
            'vm_size': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'vm_size': {'key': 'vmSize', 'type': 'str'},
            'cloud_service_configuration': {'key': 'cloudServiceConfiguration', 'type': 'CloudServiceConfiguration'},
            'virtual_machine_configuration': {'key': 'virtualMachineConfiguration', 'type': 'VirtualMachineConfiguration'},
            'resize_timeout': {'key': 'resizeTimeout', 'type': 'duration'},
            'target_dedicated_nodes': {'key': 'targetDedicatedNodes', 'type': 'int'},
            'target_low_priority_nodes': {'key': 'targetLowPriorityNodes', 'type': 'int'},
            'enable_auto_scale': {'key': 'enableAutoScale', 'type': 'bool'},
            'auto_scale_formula': {'key': 'autoScaleFormula', 'type': 'str'},
            'auto_scale_evaluation_interval': {'key': 'autoScaleEvaluationInterval', 'type': 'duration'},
            'enable_inter_node_communication': {'key': 'enableInterNodeCommunication', 'type': 'bool'},
            'network_configuration': {'key': 'networkConfiguration', 'type': 'NetworkConfiguration'},
            'start_task': {'key': 'startTask', 'type': 'StartTask'},
            'certificate_references': {'key': 'certificateReferences', 'type': '[CertificateReference]'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'application_licenses': {'key': 'applicationLicenses', 'type': '[str]'},
            'max_tasks_per_node': {'key': 'maxTasksPerNode', 'type': 'int'},
            'task_scheduling_policy': {'key': 'taskSchedulingPolicy', 'type': 'TaskSchedulingPolicy'},
            'user_accounts': {'key': 'userAccounts', 'type': '[UserAccount]'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'mount_configuration': {'key': 'mountConfiguration', 'type': '[MountConfiguration]'},
        }

        def __init__(self, *, id: str, vm_size: str, display_name: str=None, cloud_service_configuration=None, virtual_machine_configuration=None, resize_timeout=None, target_dedicated_nodes: int=None, target_low_priority_nodes: int=None, enable_auto_scale: bool=None, auto_scale_formula: str=None, auto_scale_evaluation_interval=None, enable_inter_node_communication: bool=None, network_configuration=None, start_task=None, certificate_references=None, application_package_references=None, application_licenses=None, max_tasks_per_node: int=None, task_scheduling_policy=None, user_accounts=None, metadata=None, mount_configuration=None, **kwargs) -> None:
            super(PoolAddParameter, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.vm_size = vm_size
            self.cloud_service_configuration = cloud_service_configuration
            self.virtual_machine_configuration = virtual_machine_configuration
            self.resize_timeout = resize_timeout
            self.target_dedicated_nodes = target_dedicated_nodes
            self.target_low_priority_nodes = target_low_priority_nodes
            self.enable_auto_scale = enable_auto_scale
            self.auto_scale_formula = auto_scale_formula
            self.auto_scale_evaluation_interval = auto_scale_evaluation_interval
            self.enable_inter_node_communication = enable_inter_node_communication
            self.network_configuration = network_configuration
            self.start_task = start_task
            self.certificate_references = certificate_references
            self.application_package_references = application_package_references
            self.application_licenses = application_licenses
            self.max_tasks_per_node = max_tasks_per_node
            self.task_scheduling_policy = task_scheduling_policy
            self.user_accounts = user_accounts
            self.metadata = metadata
            self.mount_configuration = mount_configuration

    class PoolDeleteOptions(Model):
        """Additional parameters for delete operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolDeleteOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolDisableAutoScaleOptions(Model):
        """Additional parameters for disable_auto_scale operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolDisableAutoScaleOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolEnableAutoScaleOptions(Model):
        """Additional parameters for enable_auto_scale operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolEnableAutoScaleOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolEnableAutoScaleParameter(Model):
        """Options for enabling automatic scaling on a Pool.

        :param auto_scale_formula: The formula for the desired number of Compute
         Nodes in the Pool. The formula is checked for validity before it is
         applied to the Pool. If the formula is not valid, the Batch service
         rejects the request with detailed error information. For more information
         about specifying this formula, see Automatically scale Compute Nodes in an
         Azure Batch Pool
         (https://azure.microsoft.com/en-us/documentation/articles/batch-automatic-scaling).
        :type auto_scale_formula: str
        :param auto_scale_evaluation_interval: The time interval at which to
         automatically adjust the Pool size according to the autoscale formula. The
         default value is 15 minutes. The minimum and maximum value are 5 minutes
         and 168 hours respectively. If you specify a value less than 5 minutes or
         greater than 168 hours, the Batch service rejects the request with an
         invalid property value error; if you are calling the REST API directly,
         the HTTP status code is 400 (Bad Request). If you specify a new interval,
         then the existing autoscale evaluation schedule will be stopped and a new
         autoscale evaluation schedule will be started, with its starting time
         being the time when this request was issued.
        :type auto_scale_evaluation_interval: timedelta
        """

        _attribute_map = {
            'auto_scale_formula': {'key': 'autoScaleFormula', 'type': 'str'},
            'auto_scale_evaluation_interval': {'key': 'autoScaleEvaluationInterval', 'type': 'duration'},
        }

        def __init__(self, *, auto_scale_formula: str=None, auto_scale_evaluation_interval=None, **kwargs) -> None:
            super(PoolEnableAutoScaleParameter, self).__init__(**kwargs)
            self.auto_scale_formula = auto_scale_formula
            self.auto_scale_evaluation_interval = auto_scale_evaluation_interval

    class PoolEndpointConfiguration(Model):
        """The endpoint configuration for a Pool.

        All required parameters must be populated in order to send to Azure.

        :param inbound_nat_pools: Required. A list of inbound NAT Pools that can
         be used to address specific ports on an individual Compute Node
         externally. The maximum number of inbound NAT Pools per Batch Pool is 5.
         If the maximum number of inbound NAT Pools is exceeded the request fails
         with HTTP status code 400.
        :type inbound_nat_pools: list[~azure.batch.models.InboundNATPool]
        """

        _validation = {
            'inbound_nat_pools': {'required': True},
        }

        _attribute_map = {
            'inbound_nat_pools': {'key': 'inboundNATPools', 'type': '[InboundNATPool]'},
        }

        def __init__(self, *, inbound_nat_pools, **kwargs) -> None:
            super(PoolEndpointConfiguration, self).__init__(**kwargs)
            self.inbound_nat_pools = inbound_nat_pools

    class PoolEvaluateAutoScaleOptions(Model):
        """Additional parameters for evaluate_auto_scale operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolEvaluateAutoScaleOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolEvaluateAutoScaleParameter(Model):
        """Options for evaluating an automatic scaling formula on a Pool.

        All required parameters must be populated in order to send to Azure.

        :param auto_scale_formula: Required. The formula for the desired number of
         Compute Nodes in the Pool. The formula is validated and its results
         calculated, but it is not applied to the Pool. To apply the formula to the
         Pool, 'Enable automatic scaling on a Pool'. For more information about
         specifying this formula, see Automatically scale Compute Nodes in an Azure
         Batch Pool
         (https://azure.microsoft.com/en-us/documentation/articles/batch-automatic-scaling).
        :type auto_scale_formula: str
        """

        _validation = {
            'auto_scale_formula': {'required': True},
        }

        _attribute_map = {
            'auto_scale_formula': {'key': 'autoScaleFormula', 'type': 'str'},
        }

        def __init__(self, *, auto_scale_formula: str, **kwargs) -> None:
            super(PoolEvaluateAutoScaleParameter, self).__init__(**kwargs)
            self.auto_scale_formula = auto_scale_formula

    class PoolExistsOptions(Model):
        """Additional parameters for exists operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolExistsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolGetAllLifetimeStatisticsOptions(Model):
        """Additional parameters for get_all_lifetime_statistics operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolGetAllLifetimeStatisticsOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolGetOptions(Model):
        """Additional parameters for get operation.

        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, expand: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolGetOptions, self).__init__(**kwargs)
            self.select = select
            self.expand = expand
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolInformation(Model):
        """Specifies how a Job should be assigned to a Pool.

        :param pool_id: The ID of an existing Pool. All the Tasks of the Job will
         run on the specified Pool. You must ensure that the Pool referenced by
         this property exists. If the Pool does not exist at the time the Batch
         service tries to schedule a Job, no Tasks for the Job will run until you
         create a Pool with that id. Note that the Batch service will not reject
         the Job request; it will simply not run Tasks until the Pool exists. You
         must specify either the Pool ID or the auto Pool specification, but not
         both.
        :type pool_id: str
        :param auto_pool_specification: Characteristics for a temporary 'auto
         pool'. The Batch service will create this auto Pool when the Job is
         submitted. If auto Pool creation fails, the Batch service moves the Job to
         a completed state, and the Pool creation error is set in the Job's
         scheduling error property. The Batch service manages the lifetime (both
         creation and, unless keepAlive is specified, deletion) of the auto Pool.
         Any user actions that affect the lifetime of the auto Pool while the Job
         is active will result in unexpected behavior. You must specify either the
         Pool ID or the auto Pool specification, but not both.
        :type auto_pool_specification: ~azure.batch.models.AutoPoolSpecification
        """

        _attribute_map = {
            'pool_id': {'key': 'poolId', 'type': 'str'},
            'auto_pool_specification': {'key': 'autoPoolSpecification', 'type': 'AutoPoolSpecification'},
        }

        def __init__(self, *, pool_id: str=None, auto_pool_specification=None, **kwargs) -> None:
            super(PoolInformation, self).__init__(**kwargs)
            self.pool_id = pool_id
            self.auto_pool_specification = auto_pool_specification

    class PoolListOptions(Model):
        """Additional parameters for list operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-pools.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Pools can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, expand: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolListOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.expand = expand
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolListUsageMetricsOptions(Model):
        """Additional parameters for list_usage_metrics operation.

        :param start_time: The earliest time from which to include metrics. This
         must be at least two and a half hours before the current time. If not
         specified this defaults to the start time of the last aggregation interval
         currently available.
        :type start_time: datetime
        :param end_time: The latest time from which to include metrics. This must
         be at least two hours before the current time. If not specified this
         defaults to the end time of the last aggregation interval currently
         available.
        :type end_time: datetime
        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-account-usage-metrics.
        :type filter: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 results will be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'start_time': {'key': '', 'type': 'iso-8601'},
            'end_time': {'key': '', 'type': 'iso-8601'},
            'filter': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, start_time=None, end_time=None, filter: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolListUsageMetricsOptions, self).__init__(**kwargs)
            self.start_time = start_time
            self.end_time = end_time
            self.filter = filter
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolNodeCounts(Model):
        """The number of Compute Nodes in each state for a Pool.

        All required parameters must be populated in order to send to Azure.

        :param pool_id: Required. The ID of the Pool.
        :type pool_id: str
        :param dedicated: The number of dedicated Compute Nodes in each state.
        :type dedicated: ~azure.batch.models.NodeCounts
        :param low_priority: The number of low priority Compute Nodes in each
         state.
        :type low_priority: ~azure.batch.models.NodeCounts
        """

        _validation = {
            'pool_id': {'required': True},
        }

        _attribute_map = {
            'pool_id': {'key': 'poolId', 'type': 'str'},
            'dedicated': {'key': 'dedicated', 'type': 'NodeCounts'},
            'low_priority': {'key': 'lowPriority', 'type': 'NodeCounts'},
        }

        def __init__(self, *, pool_id: str, dedicated=None, low_priority=None, **kwargs) -> None:
            super(PoolNodeCounts, self).__init__(**kwargs)
            self.pool_id = pool_id
            self.dedicated = dedicated
            self.low_priority = low_priority

    class PoolPatchOptions(Model):
        """Additional parameters for patch operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolPatchOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolPatchParameter(Model):
        """The set of changes to be made to a Pool.

        :param start_task: A Task to run on each Compute Node as it joins the
         Pool. The Task runs when the Compute Node is added to the Pool or when the
         Compute Node is restarted. If this element is present, it overwrites any
         existing StartTask. If omitted, any existing StartTask is left unchanged.
        :type start_task: ~azure.batch.models.StartTask
        :param certificate_references: A list of Certificates to be installed on
         each Compute Node in the Pool. If this element is present, it replaces any
         existing Certificate references configured on the Pool. If omitted, any
         existing Certificate references are left unchanged. For Windows Nodes, the
         Batch service installs the Certificates to the specified Certificate store
         and location. For Linux Compute Nodes, the Certificates are stored in a
         directory inside the Task working directory and an environment variable
         AZ_BATCH_CERTIFICATES_DIR is supplied to the Task to query for this
         location. For Certificates with visibility of 'remoteUser', a 'certs'
         directory is created in the user's home directory (e.g.,
         /home/{user-name}/certs) and Certificates are placed in that directory.
        :type certificate_references:
         list[~azure.batch.models.CertificateReference]
        :param application_package_references: A list of Packages to be installed
         on each Compute Node in the Pool. Changes to Package references affect all
         new Nodes joining the Pool, but do not affect Compute Nodes that are
         already in the Pool until they are rebooted or reimaged. If this element
         is present, it replaces any existing Package references. If you specify an
         empty collection, then all Package references are removed from the Pool.
         If omitted, any existing Package references are left unchanged.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param metadata: A list of name-value pairs associated with the Pool as
         metadata. If this element is present, it replaces any existing metadata
         configured on the Pool. If you specify an empty collection, any metadata
         is removed from the Pool. If omitted, any existing metadata is left
         unchanged.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _attribute_map = {
            'start_task': {'key': 'startTask', 'type': 'StartTask'},
            'certificate_references': {'key': 'certificateReferences', 'type': '[CertificateReference]'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, start_task=None, certificate_references=None, application_package_references=None, metadata=None, **kwargs) -> None:
            super(PoolPatchParameter, self).__init__(**kwargs)
            self.start_task = start_task
            self.certificate_references = certificate_references
            self.application_package_references = application_package_references
            self.metadata = metadata

    class PoolRemoveNodesOptions(Model):
        """Additional parameters for remove_nodes operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolRemoveNodesOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolResizeOptions(Model):
        """Additional parameters for resize operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolResizeOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolResizeParameter(Model):
        """Options for changing the size of a Pool.

        :param target_dedicated_nodes: The desired number of dedicated Compute
         Nodes in the Pool.
        :type target_dedicated_nodes: int
        :param target_low_priority_nodes: The desired number of low-priority
         Compute Nodes in the Pool.
        :type target_low_priority_nodes: int
        :param resize_timeout: The timeout for allocation of Nodes to the Pool or
         removal of Compute Nodes from the Pool. The default value is 15 minutes.
         The minimum value is 5 minutes. If you specify a value less than 5
         minutes, the Batch service returns an error; if you are calling the REST
         API directly, the HTTP status code is 400 (Bad Request).
        :type resize_timeout: timedelta
        :param node_deallocation_option: Determines what to do with a Compute Node
         and its running task(s) if the Pool size is decreasing. The default value
         is requeue. Possible values include: 'requeue', 'terminate',
         'taskCompletion', 'retainedData'
        :type node_deallocation_option: str or
         ~azure.batch.models.ComputeNodeDeallocationOption
        """

        _attribute_map = {
            'target_dedicated_nodes': {'key': 'targetDedicatedNodes', 'type': 'int'},
            'target_low_priority_nodes': {'key': 'targetLowPriorityNodes', 'type': 'int'},
            'resize_timeout': {'key': 'resizeTimeout', 'type': 'duration'},
            'node_deallocation_option': {'key': 'nodeDeallocationOption', 'type': 'ComputeNodeDeallocationOption'},
        }

        def __init__(self, *, target_dedicated_nodes: int=None, target_low_priority_nodes: int=None, resize_timeout=None, node_deallocation_option=None, **kwargs) -> None:
            super(PoolResizeParameter, self).__init__(**kwargs)
            self.target_dedicated_nodes = target_dedicated_nodes
            self.target_low_priority_nodes = target_low_priority_nodes
            self.resize_timeout = resize_timeout
            self.node_deallocation_option = node_deallocation_option

    class PoolSpecification(Model):
        """Specification for creating a new Pool.

        All required parameters must be populated in order to send to Azure.

        :param display_name: The display name for the Pool. The display name need
         not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param vm_size: Required. The size of the virtual machines in the Pool.
         All virtual machines in a Pool are the same size. For information about
         available sizes of virtual machines in Pools, see Choose a VM size for
         Compute Nodes in an Azure Batch Pool
         (https://docs.microsoft.com/azure/batch/batch-pool-vm-sizes).
        :type vm_size: str
        :param cloud_service_configuration: The cloud service configuration for
         the Pool. This property must be specified if the Pool needs to be created
         with Azure PaaS VMs. This property and virtualMachineConfiguration are
         mutually exclusive and one of the properties must be specified. If neither
         is specified then the Batch service returns an error; if you are calling
         the REST API directly, the HTTP status code is 400 (Bad Request). This
         property cannot be specified if the Batch Account was created with its
         poolAllocationMode property set to 'UserSubscription'.
        :type cloud_service_configuration:
         ~azure.batch.models.CloudServiceConfiguration
        :param virtual_machine_configuration: The virtual machine configuration
         for the Pool. This property must be specified if the Pool needs to be
         created with Azure IaaS VMs. This property and cloudServiceConfiguration
         are mutually exclusive and one of the properties must be specified. If
         neither is specified then the Batch service returns an error; if you are
         calling the REST API directly, the HTTP status code is 400 (Bad Request).
        :type virtual_machine_configuration:
         ~azure.batch.models.VirtualMachineConfiguration
        :param max_tasks_per_node: The maximum number of Tasks that can run
         concurrently on a single Compute Node in the Pool. The default value is 1.
         The maximum value is the smaller of 4 times the number of cores of the
         vmSize of the Pool or 256.
        :type max_tasks_per_node: int
        :param task_scheduling_policy: How Tasks are distributed across Compute
         Nodes in a Pool. If not specified, the default is spread.
        :type task_scheduling_policy: ~azure.batch.models.TaskSchedulingPolicy
        :param resize_timeout: The timeout for allocation of Compute Nodes to the
         Pool. This timeout applies only to manual scaling; it has no effect when
         enableAutoScale is set to true. The default value is 15 minutes. The
         minimum value is 5 minutes. If you specify a value less than 5 minutes,
         the Batch service rejects the request with an error; if you are calling
         the REST API directly, the HTTP status code is 400 (Bad Request).
        :type resize_timeout: timedelta
        :param target_dedicated_nodes: The desired number of dedicated Compute
         Nodes in the Pool. This property must not be specified if enableAutoScale
         is set to true. If enableAutoScale is set to false, then you must set
         either targetDedicatedNodes, targetLowPriorityNodes, or both.
        :type target_dedicated_nodes: int
        :param target_low_priority_nodes: The desired number of low-priority
         Compute Nodes in the Pool. This property must not be specified if
         enableAutoScale is set to true. If enableAutoScale is set to false, then
         you must set either targetDedicatedNodes, targetLowPriorityNodes, or both.
        :type target_low_priority_nodes: int
        :param enable_auto_scale: Whether the Pool size should automatically
         adjust over time. If false, at least one of targetDedicateNodes and
         targetLowPriorityNodes must be specified. If true, the autoScaleFormula
         element is required. The Pool automatically resizes according to the
         formula. The default value is false.
        :type enable_auto_scale: bool
        :param auto_scale_formula: The formula for the desired number of Compute
         Nodes in the Pool. This property must not be specified if enableAutoScale
         is set to false. It is required if enableAutoScale is set to true. The
         formula is checked for validity before the Pool is created. If the formula
         is not valid, the Batch service rejects the request with detailed error
         information.
        :type auto_scale_formula: str
        :param auto_scale_evaluation_interval: The time interval at which to
         automatically adjust the Pool size according to the autoscale formula. The
         default value is 15 minutes. The minimum and maximum value are 5 minutes
         and 168 hours respectively. If you specify a value less than 5 minutes or
         greater than 168 hours, the Batch service rejects the request with an
         invalid property value error; if you are calling the REST API directly,
         the HTTP status code is 400 (Bad Request).
        :type auto_scale_evaluation_interval: timedelta
        :param enable_inter_node_communication: Whether the Pool permits direct
         communication between Compute Nodes. Enabling inter-node communication
         limits the maximum size of the Pool due to deployment restrictions on the
         Compute Nodes of the Pool. This may result in the Pool not reaching its
         desired size. The default value is false.
        :type enable_inter_node_communication: bool
        :param network_configuration: The network configuration for the Pool.
        :type network_configuration: ~azure.batch.models.NetworkConfiguration
        :param start_task: A Task to run on each Compute Node as it joins the
         Pool. The Task runs when the Compute Node is added to the Pool or when the
         Compute Node is restarted.
        :type start_task: ~azure.batch.models.StartTask
        :param certificate_references: A list of Certificates to be installed on
         each Compute Node in the Pool. For Windows Nodes, the Batch service
         installs the Certificates to the specified Certificate store and location.
         For Linux Compute Nodes, the Certificates are stored in a directory inside
         the Task working directory and an environment variable
         AZ_BATCH_CERTIFICATES_DIR is supplied to the Task to query for this
         location. For Certificates with visibility of 'remoteUser', a 'certs'
         directory is created in the user's home directory (e.g.,
         /home/{user-name}/certs) and Certificates are placed in that directory.
        :type certificate_references:
         list[~azure.batch.models.CertificateReference]
        :param application_package_references: The list of Packages to be
         installed on each Compute Node in the Pool. Changes to Package references
         affect all new Nodes joining the Pool, but do not affect Compute Nodes
         that are already in the Pool until they are rebooted or reimaged. There is
         a maximum of 10 Package references on any given Pool.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param application_licenses: The list of application licenses the Batch
         service will make available on each Compute Node in the Pool. The list of
         application licenses must be a subset of available Batch service
         application licenses. If a license is requested which is not supported,
         Pool creation will fail. The permitted licenses available on the Pool are
         'maya', 'vray', '3dsmax', 'arnold'. An additional charge applies for each
         application license added to the Pool.
        :type application_licenses: list[str]
        :param user_accounts: The list of user Accounts to be created on each
         Compute Node in the Pool.
        :type user_accounts: list[~azure.batch.models.UserAccount]
        :param metadata: A list of name-value pairs associated with the Pool as
         metadata. The Batch service does not assign any meaning to metadata; it is
         solely for the use of user code.
        :type metadata: list[~azure.batch.models.MetadataItem]
        :param mount_configuration: A list of file systems to mount on each node
         in the pool. This supports Azure Files, NFS, CIFS/SMB, and Blobfuse.
        :type mount_configuration: list[~azure.batch.models.MountConfiguration]
        """

        _validation = {
            'vm_size': {'required': True},
        }

        _attribute_map = {
            'display_name': {'key': 'displayName', 'type': 'str'},
            'vm_size': {'key': 'vmSize', 'type': 'str'},
            'cloud_service_configuration': {'key': 'cloudServiceConfiguration', 'type': 'CloudServiceConfiguration'},
            'virtual_machine_configuration': {'key': 'virtualMachineConfiguration', 'type': 'VirtualMachineConfiguration'},
            'max_tasks_per_node': {'key': 'maxTasksPerNode', 'type': 'int'},
            'task_scheduling_policy': {'key': 'taskSchedulingPolicy', 'type': 'TaskSchedulingPolicy'},
            'resize_timeout': {'key': 'resizeTimeout', 'type': 'duration'},
            'target_dedicated_nodes': {'key': 'targetDedicatedNodes', 'type': 'int'},
            'target_low_priority_nodes': {'key': 'targetLowPriorityNodes', 'type': 'int'},
            'enable_auto_scale': {'key': 'enableAutoScale', 'type': 'bool'},
            'auto_scale_formula': {'key': 'autoScaleFormula', 'type': 'str'},
            'auto_scale_evaluation_interval': {'key': 'autoScaleEvaluationInterval', 'type': 'duration'},
            'enable_inter_node_communication': {'key': 'enableInterNodeCommunication', 'type': 'bool'},
            'network_configuration': {'key': 'networkConfiguration', 'type': 'NetworkConfiguration'},
            'start_task': {'key': 'startTask', 'type': 'StartTask'},
            'certificate_references': {'key': 'certificateReferences', 'type': '[CertificateReference]'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'application_licenses': {'key': 'applicationLicenses', 'type': '[str]'},
            'user_accounts': {'key': 'userAccounts', 'type': '[UserAccount]'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
            'mount_configuration': {'key': 'mountConfiguration', 'type': '[MountConfiguration]'},
        }

        def __init__(self, *, vm_size: str, display_name: str=None, cloud_service_configuration=None, virtual_machine_configuration=None, max_tasks_per_node: int=None, task_scheduling_policy=None, resize_timeout=None, target_dedicated_nodes: int=None, target_low_priority_nodes: int=None, enable_auto_scale: bool=None, auto_scale_formula: str=None, auto_scale_evaluation_interval=None, enable_inter_node_communication: bool=None, network_configuration=None, start_task=None, certificate_references=None, application_package_references=None, application_licenses=None, user_accounts=None, metadata=None, mount_configuration=None, **kwargs) -> None:
            super(PoolSpecification, self).__init__(**kwargs)
            self.display_name = display_name
            self.vm_size = vm_size
            self.cloud_service_configuration = cloud_service_configuration
            self.virtual_machine_configuration = virtual_machine_configuration
            self.max_tasks_per_node = max_tasks_per_node
            self.task_scheduling_policy = task_scheduling_policy
            self.resize_timeout = resize_timeout
            self.target_dedicated_nodes = target_dedicated_nodes
            self.target_low_priority_nodes = target_low_priority_nodes
            self.enable_auto_scale = enable_auto_scale
            self.auto_scale_formula = auto_scale_formula
            self.auto_scale_evaluation_interval = auto_scale_evaluation_interval
            self.enable_inter_node_communication = enable_inter_node_communication
            self.network_configuration = network_configuration
            self.start_task = start_task
            self.certificate_references = certificate_references
            self.application_package_references = application_package_references
            self.application_licenses = application_licenses
            self.user_accounts = user_accounts
            self.metadata = metadata
            self.mount_configuration = mount_configuration

    class PoolStatistics(Model):
        """Contains utilization and resource usage statistics for the lifetime of a
        Pool.

        All required parameters must be populated in order to send to Azure.

        :param url: Required. The URL for the statistics.
        :type url: str
        :param start_time: Required. The start time of the time range covered by
         the statistics.
        :type start_time: datetime
        :param last_update_time: Required. The time at which the statistics were
         last updated. All statistics are limited to the range between startTime
         and lastUpdateTime.
        :type last_update_time: datetime
        :param usage_stats: Statistics related to Pool usage, such as the amount
         of core-time used.
        :type usage_stats: ~azure.batch.models.UsageStatistics
        :param resource_stats: Statistics related to resource consumption by
         Compute Nodes in the Pool.
        :type resource_stats: ~azure.batch.models.ResourceStatistics
        """

        _validation = {
            'url': {'required': True},
            'start_time': {'required': True},
            'last_update_time': {'required': True},
        }

        _attribute_map = {
            'url': {'key': 'url', 'type': 'str'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
            'usage_stats': {'key': 'usageStats', 'type': 'UsageStatistics'},
            'resource_stats': {'key': 'resourceStats', 'type': 'ResourceStatistics'},
        }

        def __init__(self, *, url: str, start_time, last_update_time, usage_stats=None, resource_stats=None, **kwargs) -> None:
            super(PoolStatistics, self).__init__(**kwargs)
            self.url = url
            self.start_time = start_time
            self.last_update_time = last_update_time
            self.usage_stats = usage_stats
            self.resource_stats = resource_stats

    class PoolStopResizeOptions(Model):
        """Additional parameters for stop_resize operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(PoolStopResizeOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class PoolUpdatePropertiesOptions(Model):
        """Additional parameters for update_properties operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(PoolUpdatePropertiesOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class PoolUpdatePropertiesParameter(Model):
        """The set of changes to be made to a Pool.

        All required parameters must be populated in order to send to Azure.

        :param start_task: A Task to run on each Compute Node as it joins the
         Pool. The Task runs when the Compute Node is added to the Pool or when the
         Compute Node is restarted. If this element is present, it overwrites any
         existing StartTask. If omitted, any existing StartTask is removed from the
         Pool.
        :type start_task: ~azure.batch.models.StartTask
        :param certificate_references: Required. A list of Certificates to be
         installed on each Compute Node in the Pool. This list replaces any
         existing Certificate references configured on the Pool. If you specify an
         empty collection, any existing Certificate references are removed from the
         Pool. For Windows Nodes, the Batch service installs the Certificates to
         the specified Certificate store and location. For Linux Compute Nodes, the
         Certificates are stored in a directory inside the Task working directory
         and an environment variable AZ_BATCH_CERTIFICATES_DIR is supplied to the
         Task to query for this location. For Certificates with visibility of
         'remoteUser', a 'certs' directory is created in the user's home directory
         (e.g., /home/{user-name}/certs) and Certificates are placed in that
         directory.
        :type certificate_references:
         list[~azure.batch.models.CertificateReference]
        :param application_package_references: Required. The list of Application
         Packages to be installed on each Compute Node in the Pool. The list
         replaces any existing Application Package references on the Pool. Changes
         to Application Package references affect all new Compute Nodes joining the
         Pool, but do not affect Compute Nodes that are already in the Pool until
         they are rebooted or reimaged. There is a maximum of 10 Application
         Package references on any given Pool. If omitted, or if you specify an
         empty collection, any existing Application Packages references are removed
         from the Pool. A maximum of 10 references may be specified on a given
         Pool.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param metadata: Required. A list of name-value pairs associated with the
         Pool as metadata. This list replaces any existing metadata configured on
         the Pool. If omitted, or if you specify an empty collection, any existing
         metadata is removed from the Pool.
        :type metadata: list[~azure.batch.models.MetadataItem]
        """

        _validation = {
            'certificate_references': {'required': True},
            'application_package_references': {'required': True},
            'metadata': {'required': True},
        }

        _attribute_map = {
            'start_task': {'key': 'startTask', 'type': 'StartTask'},
            'certificate_references': {'key': 'certificateReferences', 'type': '[CertificateReference]'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'metadata': {'key': 'metadata', 'type': '[MetadataItem]'},
        }

        def __init__(self, *, certificate_references, application_package_references, metadata, start_task=None, **kwargs) -> None:
            super(PoolUpdatePropertiesParameter, self).__init__(**kwargs)
            self.start_task = start_task
            self.certificate_references = certificate_references
            self.application_package_references = application_package_references
            self.metadata = metadata

    class PoolUsageMetrics(Model):
        """Usage metrics for a Pool across an aggregation interval.

        All required parameters must be populated in order to send to Azure.

        :param pool_id: Required. The ID of the Pool whose metrics are aggregated
         in this entry.
        :type pool_id: str
        :param start_time: Required. The start time of the aggregation interval
         covered by this entry.
        :type start_time: datetime
        :param end_time: Required. The end time of the aggregation interval
         covered by this entry.
        :type end_time: datetime
        :param vm_size: Required. The size of virtual machines in the Pool. All
         VMs in a Pool are the same size. For information about available sizes of
         virtual machines in Pools, see Choose a VM size for Compute Nodes in an
         Azure Batch Pool
         (https://docs.microsoft.com/azure/batch/batch-pool-vm-sizes).
        :type vm_size: str
        :param total_core_hours: Required. The total core hours used in the Pool
         during this aggregation interval.
        :type total_core_hours: float
        """

        _validation = {
            'pool_id': {'required': True},
            'start_time': {'required': True},
            'end_time': {'required': True},
            'vm_size': {'required': True},
            'total_core_hours': {'required': True},
        }

        _attribute_map = {
            'pool_id': {'key': 'poolId', 'type': 'str'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'vm_size': {'key': 'vmSize', 'type': 'str'},
            'total_core_hours': {'key': 'totalCoreHours', 'type': 'float'},
        }

        def __init__(self, *, pool_id: str, start_time, end_time, vm_size: str, total_core_hours: float, **kwargs) -> None:
            super(PoolUsageMetrics, self).__init__(**kwargs)
            self.pool_id = pool_id
            self.start_time = start_time
            self.end_time = end_time
            self.vm_size = vm_size
            self.total_core_hours = total_core_hours

    class RecentJob(Model):
        """Information about the most recent Job to run under the Job Schedule.

        :param id: The ID of the Job.
        :type id: str
        :param url: The URL of the Job.
        :type url: str
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'url': {'key': 'url', 'type': 'str'},
        }

        def __init__(self, *, id: str=None, url: str=None, **kwargs) -> None:
            super(RecentJob, self).__init__(**kwargs)
            self.id = id
            self.url = url

    class ResizeError(Model):
        """An error that occurred when resizing a Pool.

        :param code: An identifier for the Pool resize error. Codes are invariant
         and are intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the Pool resize error, intended to be
         suitable for display in a user interface.
        :type message: str
        :param values: A list of additional error details related to the Pool
         resize error.
        :type values: list[~azure.batch.models.NameValuePair]
        """

        _attribute_map = {
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'str'},
            'values': {'key': 'values', 'type': '[NameValuePair]'},
        }

        def __init__(self, *, code: str=None, message: str=None, values=None, **kwargs) -> None:
            super(ResizeError, self).__init__(**kwargs)
            self.code = code
            self.message = message
            self.values = values

    class ResourceFile(Model):
        """A single file or multiple files to be downloaded to a Compute Node.

        :param auto_storage_container_name: The storage container name in the auto
         storage Account. The autoStorageContainerName, storageContainerUrl and
         httpUrl properties are mutually exclusive and one of them must be
         specified.
        :type auto_storage_container_name: str
        :param storage_container_url: The URL of the blob container within Azure
         Blob Storage. The autoStorageContainerName, storageContainerUrl and
         httpUrl properties are mutually exclusive and one of them must be
         specified. This URL must be readable and listable using anonymous access;
         that is, the Batch service does not present any credentials when
         downloading blobs from the container. There are two ways to get such a URL
         for a container in Azure storage: include a Shared Access Signature (SAS)
         granting read and list permissions on the container, or set the ACL for
         the container to allow public access.
        :type storage_container_url: str
        :param http_url: The URL of the file to download. The
         autoStorageContainerName, storageContainerUrl and httpUrl properties are
         mutually exclusive and one of them must be specified. If the URL points to
         Azure Blob Storage, it must be readable using anonymous access; that is,
         the Batch service does not present any credentials when downloading the
         blob. There are two ways to get such a URL for a blob in Azure storage:
         include a Shared Access Signature (SAS) granting read permissions on the
         blob, or set the ACL for the blob or its container to allow public access.
        :type http_url: str
        :param blob_prefix: The blob prefix to use when downloading blobs from an
         Azure Storage container. Only the blobs whose names begin with the
         specified prefix will be downloaded. The property is valid only when
         autoStorageContainerName or storageContainerUrl is used. This prefix can
         be a partial filename or a subdirectory. If a prefix is not specified, all
         the files in the container will be downloaded.
        :type blob_prefix: str
        :param file_path: The location on the Compute Node to which to download
         the file(s), relative to the Task's working directory. If the httpUrl
         property is specified, the filePath is required and describes the path
         which the file will be downloaded to, including the filename. Otherwise,
         if the autoStorageContainerName or storageContainerUrl property is
         specified, filePath is optional and is the directory to download the files
         to. In the case where filePath is used as a directory, any directory
         structure already associated with the input data will be retained in full
         and appended to the specified filePath directory. The specified relative
         path cannot break out of the Task's working directory (for example by
         using '..').
        :type file_path: str
        :param file_mode: The file permission mode attribute in octal format. This
         property applies only to files being downloaded to Linux Compute Nodes. It
         will be ignored if it is specified for a resourceFile which will be
         downloaded to a Windows Compute Node. If this property is not specified
         for a Linux Compute Node, then a default value of 0770 is applied to the
         file.
        :type file_mode: str
        """

        _attribute_map = {
            'auto_storage_container_name': {'key': 'autoStorageContainerName', 'type': 'str'},
            'storage_container_url': {'key': 'storageContainerUrl', 'type': 'str'},
            'http_url': {'key': 'httpUrl', 'type': 'str'},
            'blob_prefix': {'key': 'blobPrefix', 'type': 'str'},
            'file_path': {'key': 'filePath', 'type': 'str'},
            'file_mode': {'key': 'fileMode', 'type': 'str'},
        }

        def __init__(self, *, auto_storage_container_name: str=None, storage_container_url: str=None, http_url: str=None, blob_prefix: str=None, file_path: str=None, file_mode: str=None, **kwargs) -> None:
            super(ResourceFile, self).__init__(**kwargs)
            self.auto_storage_container_name = auto_storage_container_name
            self.storage_container_url = storage_container_url
            self.http_url = http_url
            self.blob_prefix = blob_prefix
            self.file_path = file_path
            self.file_mode = file_mode

    class ResourceStatistics(Model):
        """Statistics related to resource consumption by Compute Nodes in a Pool.

        All required parameters must be populated in order to send to Azure.

        :param start_time: Required. The start time of the time range covered by
         the statistics.
        :type start_time: datetime
        :param last_update_time: Required. The time at which the statistics were
         last updated. All statistics are limited to the range between startTime
         and lastUpdateTime.
        :type last_update_time: datetime
        :param avg_cpu_percentage: Required. The average CPU usage across all
         Compute Nodes in the Pool (percentage per node).
        :type avg_cpu_percentage: float
        :param avg_memory_gi_b: Required. The average memory usage in GiB across
         all Compute Nodes in the Pool.
        :type avg_memory_gi_b: float
        :param peak_memory_gi_b: Required. The peak memory usage in GiB across all
         Compute Nodes in the Pool.
        :type peak_memory_gi_b: float
        :param avg_disk_gi_b: Required. The average used disk space in GiB across
         all Compute Nodes in the Pool.
        :type avg_disk_gi_b: float
        :param peak_disk_gi_b: Required. The peak used disk space in GiB across
         all Compute Nodes in the Pool.
        :type peak_disk_gi_b: float
        :param disk_read_iops: Required. The total number of disk read operations
         across all Compute Nodes in the Pool.
        :type disk_read_iops: long
        :param disk_write_iops: Required. The total number of disk write
         operations across all Compute Nodes in the Pool.
        :type disk_write_iops: long
        :param disk_read_gi_b: Required. The total amount of data in GiB of disk
         reads across all Compute Nodes in the Pool.
        :type disk_read_gi_b: float
        :param disk_write_gi_b: Required. The total amount of data in GiB of disk
         writes across all Compute Nodes in the Pool.
        :type disk_write_gi_b: float
        :param network_read_gi_b: Required. The total amount of data in GiB of
         network reads across all Compute Nodes in the Pool.
        :type network_read_gi_b: float
        :param network_write_gi_b: Required. The total amount of data in GiB of
         network writes across all Compute Nodes in the Pool.
        :type network_write_gi_b: float
        """

        _validation = {
            'start_time': {'required': True},
            'last_update_time': {'required': True},
            'avg_cpu_percentage': {'required': True},
            'avg_memory_gi_b': {'required': True},
            'peak_memory_gi_b': {'required': True},
            'avg_disk_gi_b': {'required': True},
            'peak_disk_gi_b': {'required': True},
            'disk_read_iops': {'required': True},
            'disk_write_iops': {'required': True},
            'disk_read_gi_b': {'required': True},
            'disk_write_gi_b': {'required': True},
            'network_read_gi_b': {'required': True},
            'network_write_gi_b': {'required': True},
        }

        _attribute_map = {
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
            'avg_cpu_percentage': {'key': 'avgCPUPercentage', 'type': 'float'},
            'avg_memory_gi_b': {'key': 'avgMemoryGiB', 'type': 'float'},
            'peak_memory_gi_b': {'key': 'peakMemoryGiB', 'type': 'float'},
            'avg_disk_gi_b': {'key': 'avgDiskGiB', 'type': 'float'},
            'peak_disk_gi_b': {'key': 'peakDiskGiB', 'type': 'float'},
            'disk_read_iops': {'key': 'diskReadIOps', 'type': 'long'},
            'disk_write_iops': {'key': 'diskWriteIOps', 'type': 'long'},
            'disk_read_gi_b': {'key': 'diskReadGiB', 'type': 'float'},
            'disk_write_gi_b': {'key': 'diskWriteGiB', 'type': 'float'},
            'network_read_gi_b': {'key': 'networkReadGiB', 'type': 'float'},
            'network_write_gi_b': {'key': 'networkWriteGiB', 'type': 'float'},
        }

        def __init__(self, *, start_time, last_update_time, avg_cpu_percentage: float, avg_memory_gi_b: float, peak_memory_gi_b: float, avg_disk_gi_b: float, peak_disk_gi_b: float, disk_read_iops: int, disk_write_iops: int, disk_read_gi_b: float, disk_write_gi_b: float, network_read_gi_b: float, network_write_gi_b: float, **kwargs) -> None:
            super(ResourceStatistics, self).__init__(**kwargs)
            self.start_time = start_time
            self.last_update_time = last_update_time
            self.avg_cpu_percentage = avg_cpu_percentage
            self.avg_memory_gi_b = avg_memory_gi_b
            self.peak_memory_gi_b = peak_memory_gi_b
            self.avg_disk_gi_b = avg_disk_gi_b
            self.peak_disk_gi_b = peak_disk_gi_b
            self.disk_read_iops = disk_read_iops
            self.disk_write_iops = disk_write_iops
            self.disk_read_gi_b = disk_read_gi_b
            self.disk_write_gi_b = disk_write_gi_b
            self.network_read_gi_b = network_read_gi_b
            self.network_write_gi_b = network_write_gi_b

    class Schedule(Model):
        """The schedule according to which Jobs will be created.

        :param do_not_run_until: The earliest time at which any Job may be created
         under this Job Schedule. If you do not specify a doNotRunUntil time, the
         schedule becomes ready to create Jobs immediately.
        :type do_not_run_until: datetime
        :param do_not_run_after: A time after which no Job will be created under
         this Job Schedule. The schedule will move to the completed state as soon
         as this deadline is past and there is no active Job under this Job
         Schedule. If you do not specify a doNotRunAfter time, and you are creating
         a recurring Job Schedule, the Job Schedule will remain active until you
         explicitly terminate it.
        :type do_not_run_after: datetime
        :param start_window: The time interval, starting from the time at which
         the schedule indicates a Job should be created, within which a Job must be
         created. If a Job is not created within the startWindow interval, then the
         'opportunity' is lost; no Job will be created until the next recurrence of
         the schedule. If the schedule is recurring, and the startWindow is longer
         than the recurrence interval, then this is equivalent to an infinite
         startWindow, because the Job that is 'due' in one recurrenceInterval is
         not carried forward into the next recurrence interval. The default is
         infinite. The minimum value is 1 minute. If you specify a lower value, the
         Batch service rejects the schedule with an error; if you are calling the
         REST API directly, the HTTP status code is 400 (Bad Request).
        :type start_window: timedelta
        :param recurrence_interval: The time interval between the start times of
         two successive Jobs under the Job Schedule. A Job Schedule can have at
         most one active Job under it at any given time. Because a Job Schedule can
         have at most one active Job under it at any given time, if it is time to
         create a new Job under a Job Schedule, but the previous Job is still
         running, the Batch service will not create the new Job until the previous
         Job finishes. If the previous Job does not finish within the startWindow
         period of the new recurrenceInterval, then no new Job will be scheduled
         for that interval. For recurring Jobs, you should normally specify a
         jobManagerTask in the jobSpecification. If you do not use jobManagerTask,
         you will need an external process to monitor when Jobs are created, add
         Tasks to the Jobs and terminate the Jobs ready for the next recurrence.
         The default is that the schedule does not recur: one Job is created,
         within the startWindow after the doNotRunUntil time, and the schedule is
         complete as soon as that Job finishes. The minimum value is 1 minute. If
         you specify a lower value, the Batch service rejects the schedule with an
         error; if you are calling the REST API directly, the HTTP status code is
         400 (Bad Request).
        :type recurrence_interval: timedelta
        """

        _attribute_map = {
            'do_not_run_until': {'key': 'doNotRunUntil', 'type': 'iso-8601'},
            'do_not_run_after': {'key': 'doNotRunAfter', 'type': 'iso-8601'},
            'start_window': {'key': 'startWindow', 'type': 'duration'},
            'recurrence_interval': {'key': 'recurrenceInterval', 'type': 'duration'},
        }

        def __init__(self, *, do_not_run_until=None, do_not_run_after=None, start_window=None, recurrence_interval=None, **kwargs) -> None:
            super(Schedule, self).__init__(**kwargs)
            self.do_not_run_until = do_not_run_until
            self.do_not_run_after = do_not_run_after
            self.start_window = start_window
            self.recurrence_interval = recurrence_interval

    class StartTask(Model):
        """A Task which is run when a Node joins a Pool in the Azure Batch service, or
        when the Compute Node is rebooted or reimaged.

        Batch will retry Tasks when a recovery operation is triggered on a Node.
        Examples of recovery operations include (but are not limited to) when an
        unhealthy Node is rebooted or a Compute Node disappeared due to host
        failure. Retries due to recovery operations are independent of and are not
        counted against the maxTaskRetryCount. Even if the maxTaskRetryCount is 0,
        an internal retry due to a recovery operation may occur. Because of this,
        all Tasks should be idempotent. This means Tasks need to tolerate being
        interrupted and restarted without causing any corruption or duplicate data.
        The best practice for long running Tasks is to use some form of
        checkpointing. In some cases the StartTask may be re-run even though the
        Compute Node was not rebooted. Special care should be taken to avoid
        StartTasks which create breakaway process or install/launch services from
        the StartTask working directory, as this will block Batch from being able
        to re-run the StartTask.

        All required parameters must be populated in order to send to Azure.

        :param command_line: Required. The command line of the StartTask. The
         command line does not run under a shell, and therefore cannot take
         advantage of shell features such as environment variable expansion. If you
         want to take advantage of such features, you should invoke the shell in
         the command line, for example using "cmd /c MyCommand" in Windows or
         "/bin/sh -c MyCommand" in Linux. If the command line refers to file paths,
         it should use a relative path (relative to the Task working directory), or
         use the Batch provided environment variable
         (https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
        :type command_line: str
        :param container_settings: The settings for the container under which the
         StartTask runs. When this is specified, all directories recursively below
         the AZ_BATCH_NODE_ROOT_DIR (the root of Azure Batch directories on the
         node) are mapped into the container, all Task environment variables are
         mapped into the container, and the Task command line is executed in the
         container. Files produced in the container outside of
         AZ_BATCH_NODE_ROOT_DIR might not be reflected to the host disk, meaning
         that Batch file APIs will not be able to access those files.
        :type container_settings: ~azure.batch.models.TaskContainerSettings
        :param resource_files: A list of files that the Batch service will
         download to the Compute Node before running the command line.  There is a
         maximum size for the list of resource files. When the max size is
         exceeded, the request will fail and the response error code will be
         RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
         must be reduced in size. This can be achieved using .zip files,
         Application Packages, or Docker Containers. Files listed under this
         element are located in the Task's working directory.
        :type resource_files: list[~azure.batch.models.ResourceFile]
        :param environment_settings: A list of environment variable settings for
         the StartTask.
        :type environment_settings: list[~azure.batch.models.EnvironmentSetting]
        :param user_identity: The user identity under which the StartTask runs. If
         omitted, the Task runs as a non-administrative user unique to the Task.
        :type user_identity: ~azure.batch.models.UserIdentity
        :param max_task_retry_count: The maximum number of times the Task may be
         retried. The Batch service retries a Task if its exit code is nonzero.
         Note that this value specifically controls the number of retries. The
         Batch service will try the Task once, and may then retry up to this limit.
         For example, if the maximum retry count is 3, Batch tries the Task up to 4
         times (one initial try and 3 retries). If the maximum retry count is 0,
         the Batch service does not retry the Task. If the maximum retry count is
         -1, the Batch service retries the Task without limit.
        :type max_task_retry_count: int
        :param wait_for_success: Whether the Batch service should wait for the
         StartTask to complete successfully (that is, to exit with exit code 0)
         before scheduling any Tasks on the Compute Node. If true and the StartTask
         fails on a Node, the Batch service retries the StartTask up to its maximum
         retry count (maxTaskRetryCount). If the Task has still not completed
         successfully after all retries, then the Batch service marks the Node
         unusable, and will not schedule Tasks to it. This condition can be
         detected via the Compute Node state and failure info details. If false,
         the Batch service will not wait for the StartTask to complete. In this
         case, other Tasks can start executing on the Compute Node while the
         StartTask is still running; and even if the StartTask fails, new Tasks
         will continue to be scheduled on the Compute Node. The default is true.
        :type wait_for_success: bool
        """

        _validation = {
            'command_line': {'required': True},
        }

        _attribute_map = {
            'command_line': {'key': 'commandLine', 'type': 'str'},
            'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
            'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
            'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
            'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
            'max_task_retry_count': {'key': 'maxTaskRetryCount', 'type': 'int'},
            'wait_for_success': {'key': 'waitForSuccess', 'type': 'bool'},
        }

        def __init__(self, *, command_line: str, container_settings=None, resource_files=None, environment_settings=None, user_identity=None, max_task_retry_count: int=None, wait_for_success: bool=None, **kwargs) -> None:
            super(StartTask, self).__init__(**kwargs)
            self.command_line = command_line
            self.container_settings = container_settings
            self.resource_files = resource_files
            self.environment_settings = environment_settings
            self.user_identity = user_identity
            self.max_task_retry_count = max_task_retry_count
            self.wait_for_success = wait_for_success

    class StartTaskInformation(Model):
        """Information about a StartTask running on a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param state: Required. The state of the StartTask on the Compute Node.
         Possible values include: 'running', 'completed'
        :type state: str or ~azure.batch.models.StartTaskState
        :param start_time: Required. The time at which the StartTask started
         running. This value is reset every time the Task is restarted or retried
         (that is, this is the most recent time at which the StartTask started
         running).
        :type start_time: datetime
        :param end_time: The time at which the StartTask stopped running. This is
         the end time of the most recent run of the StartTask, if that run has
         completed (even if that run failed and a retry is pending). This element
         is not present if the StartTask is currently running.
        :type end_time: datetime
        :param exit_code: The exit code of the program specified on the StartTask
         command line. This property is set only if the StartTask is in the
         completed state. In general, the exit code for a process reflects the
         specific convention implemented by the application developer for that
         process. If you use the exit code value to make decisions in your code, be
         sure that you know the exit code convention used by the application
         process. However, if the Batch service terminates the StartTask (due to
         timeout, or user termination via the API) you may see an operating
         system-defined exit code.
        :type exit_code: int
        :param container_info: Information about the container under which the
         Task is executing. This property is set only if the Task runs in a
         container context.
        :type container_info:
         ~azure.batch.models.TaskContainerExecutionInformation
        :param failure_info: Information describing the Task failure, if any. This
         property is set only if the Task is in the completed state and encountered
         a failure.
        :type failure_info: ~azure.batch.models.TaskFailureInformation
        :param retry_count: Required. The number of times the Task has been
         retried by the Batch service. Task application failures (non-zero exit
         code) are retried, pre-processing errors (the Task could not be run) and
         file upload errors are not retried. The Batch service will retry the Task
         up to the limit specified by the constraints.
        :type retry_count: int
        :param last_retry_time: The most recent time at which a retry of the Task
         started running. This element is present only if the Task was retried
         (i.e. retryCount is nonzero). If present, this is typically the same as
         startTime, but may be different if the Task has been restarted for reasons
         other than retry; for example, if the Compute Node was rebooted during a
         retry, then the startTime is updated but the lastRetryTime is not.
        :type last_retry_time: datetime
        :param result: The result of the Task execution. If the value is 'failed',
         then the details of the failure can be found in the failureInfo property.
         Possible values include: 'success', 'failure'
        :type result: str or ~azure.batch.models.TaskExecutionResult
        """

        _validation = {
            'state': {'required': True},
            'start_time': {'required': True},
            'retry_count': {'required': True},
        }

        _attribute_map = {
            'state': {'key': 'state', 'type': 'StartTaskState'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'exit_code': {'key': 'exitCode', 'type': 'int'},
            'container_info': {'key': 'containerInfo', 'type': 'TaskContainerExecutionInformation'},
            'failure_info': {'key': 'failureInfo', 'type': 'TaskFailureInformation'},
            'retry_count': {'key': 'retryCount', 'type': 'int'},
            'last_retry_time': {'key': 'lastRetryTime', 'type': 'iso-8601'},
            'result': {'key': 'result', 'type': 'TaskExecutionResult'},
        }

        def __init__(self, *, state, start_time, retry_count: int, end_time=None, exit_code: int=None, container_info=None, failure_info=None, last_retry_time=None, result=None, **kwargs) -> None:
            super(StartTaskInformation, self).__init__(**kwargs)
            self.state = state
            self.start_time = start_time
            self.end_time = end_time
            self.exit_code = exit_code
            self.container_info = container_info
            self.failure_info = failure_info
            self.retry_count = retry_count
            self.last_retry_time = last_retry_time
            self.result = result

    class SubtaskInformation(Model):
        """Information about an Azure Batch subtask.

        :param id: The ID of the subtask.
        :type id: int
        :param node_info: Information about the Compute Node on which the subtask
         ran.
        :type node_info: ~azure.batch.models.ComputeNodeInformation
        :param start_time: The time at which the subtask started running. If the
         subtask has been restarted or retried, this is the most recent time at
         which the subtask started running.
        :type start_time: datetime
        :param end_time: The time at which the subtask completed. This property is
         set only if the subtask is in the Completed state.
        :type end_time: datetime
        :param exit_code: The exit code of the program specified on the subtask
         command line. This property is set only if the subtask is in the completed
         state. In general, the exit code for a process reflects the specific
         convention implemented by the application developer for that process. If
         you use the exit code value to make decisions in your code, be sure that
         you know the exit code convention used by the application process.
         However, if the Batch service terminates the subtask (due to timeout, or
         user termination via the API) you may see an operating system-defined exit
         code.
        :type exit_code: int
        :param container_info: Information about the container under which the
         Task is executing. This property is set only if the Task runs in a
         container context.
        :type container_info:
         ~azure.batch.models.TaskContainerExecutionInformation
        :param failure_info: Information describing the Task failure, if any. This
         property is set only if the Task is in the completed state and encountered
         a failure.
        :type failure_info: ~azure.batch.models.TaskFailureInformation
        :param state: The current state of the subtask. Possible values include:
         'preparing', 'running', 'completed'
        :type state: str or ~azure.batch.models.SubtaskState
        :param state_transition_time: The time at which the subtask entered its
         current state.
        :type state_transition_time: datetime
        :param previous_state: The previous state of the subtask. This property is
         not set if the subtask is in its initial running state. Possible values
         include: 'preparing', 'running', 'completed'
        :type previous_state: str or ~azure.batch.models.SubtaskState
        :param previous_state_transition_time: The time at which the subtask
         entered its previous state. This property is not set if the subtask is in
         its initial running state.
        :type previous_state_transition_time: datetime
        :param result: The result of the Task execution. If the value is 'failed',
         then the details of the failure can be found in the failureInfo property.
         Possible values include: 'success', 'failure'
        :type result: str or ~azure.batch.models.TaskExecutionResult
        """

        _attribute_map = {
            'id': {'key': 'id', 'type': 'int'},
            'node_info': {'key': 'nodeInfo', 'type': 'ComputeNodeInformation'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'exit_code': {'key': 'exitCode', 'type': 'int'},
            'container_info': {'key': 'containerInfo', 'type': 'TaskContainerExecutionInformation'},
            'failure_info': {'key': 'failureInfo', 'type': 'TaskFailureInformation'},
            'state': {'key': 'state', 'type': 'SubtaskState'},
            'state_transition_time': {'key': 'stateTransitionTime', 'type': 'iso-8601'},
            'previous_state': {'key': 'previousState', 'type': 'SubtaskState'},
            'previous_state_transition_time': {'key': 'previousStateTransitionTime', 'type': 'iso-8601'},
            'result': {'key': 'result', 'type': 'TaskExecutionResult'},
        }

        def __init__(self, *, id: int=None, node_info=None, start_time=None, end_time=None, exit_code: int=None, container_info=None, failure_info=None, state=None, state_transition_time=None, previous_state=None, previous_state_transition_time=None, result=None, **kwargs) -> None:
            super(SubtaskInformation, self).__init__(**kwargs)
            self.id = id
            self.node_info = node_info
            self.start_time = start_time
            self.end_time = end_time
            self.exit_code = exit_code
            self.container_info = container_info
            self.failure_info = failure_info
            self.state = state
            self.state_transition_time = state_transition_time
            self.previous_state = previous_state
            self.previous_state_transition_time = previous_state_transition_time
            self.result = result

    class TaskAddCollectionOptions(Model):
        """Additional parameters for add_collection operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(TaskAddCollectionOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class TaskAddCollectionParameter(Model):
        """A collection of Azure Batch Tasks to add.

        All required parameters must be populated in order to send to Azure.

        :param value: Required. The collection of Tasks to add. The maximum count
         of Tasks is 100. The total serialized size of this collection must be less
         than 1MB. If it is greater than 1MB (for example if each Task has 100's of
         resource files or environment variables), the request will fail with code
         'RequestBodyTooLarge' and should be retried again with fewer Tasks.
        :type value: list[~azure.batch.models.TaskAddParameter]
        """

        _validation = {
            'value': {'required': True, 'max_items': 100},
        }

        _attribute_map = {
            'value': {'key': 'value', 'type': '[TaskAddParameter]'},
        }

        def __init__(self, *, value, **kwargs) -> None:
            super(TaskAddCollectionParameter, self).__init__(**kwargs)
            self.value = value

    class TaskAddCollectionResult(Model):
        """The result of adding a collection of Tasks to a Job.

        :param value: The results of the add Task collection operation.
        :type value: list[~azure.batch.models.TaskAddResult]
        """

        _attribute_map = {
            'value': {'key': 'value', 'type': '[TaskAddResult]'},
        }

        def __init__(self, *, value=None, **kwargs) -> None:
            super(TaskAddCollectionResult, self).__init__(**kwargs)
            self.value = value

    class TaskAddOptions(Model):
        """Additional parameters for add operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(TaskAddOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class TaskAddParameter(Model):
        """An Azure Batch Task to add.

        Batch will retry Tasks when a recovery operation is triggered on a Node.
        Examples of recovery operations include (but are not limited to) when an
        unhealthy Node is rebooted or a Compute Node disappeared due to host
        failure. Retries due to recovery operations are independent of and are not
        counted against the maxTaskRetryCount. Even if the maxTaskRetryCount is 0,
        an internal retry due to a recovery operation may occur. Because of this,
        all Tasks should be idempotent. This means Tasks need to tolerate being
        interrupted and restarted without causing any corruption or duplicate data.
        The best practice for long running Tasks is to use some form of
        checkpointing.

        All required parameters must be populated in order to send to Azure.

        :param id: Required. A string that uniquely identifies the Task within the
         Job. The ID can contain any combination of alphanumeric characters
         including hyphens and underscores, and cannot contain more than 64
         characters. The ID is case-preserving and case-insensitive (that is, you
         may not have two IDs within a Job that differ only by case).
        :type id: str
        :param display_name: A display name for the Task. The display name need
         not be unique and can contain any Unicode characters up to a maximum
         length of 1024.
        :type display_name: str
        :param command_line: Required. The command line of the Task. For
         multi-instance Tasks, the command line is executed as the primary Task,
         after the primary Task and all subtasks have finished executing the
         coordination command line. The command line does not run under a shell,
         and therefore cannot take advantage of shell features such as environment
         variable expansion. If you want to take advantage of such features, you
         should invoke the shell in the command line, for example using "cmd /c
         MyCommand" in Windows or "/bin/sh -c MyCommand" in Linux. If the command
         line refers to file paths, it should use a relative path (relative to the
         Task working directory), or use the Batch provided environment variable
         (https://docs.microsoft.com/en-us/azure/batch/batch-compute-node-environment-variables).
        :type command_line: str
        :param container_settings: The settings for the container under which the
         Task runs. If the Pool that will run this Task has containerConfiguration
         set, this must be set as well. If the Pool that will run this Task doesn't
         have containerConfiguration set, this must not be set. When this is
         specified, all directories recursively below the AZ_BATCH_NODE_ROOT_DIR
         (the root of Azure Batch directories on the node) are mapped into the
         container, all Task environment variables are mapped into the container,
         and the Task command line is executed in the container. Files produced in
         the container outside of AZ_BATCH_NODE_ROOT_DIR might not be reflected to
         the host disk, meaning that Batch file APIs will not be able to access
         those files.
        :type container_settings: ~azure.batch.models.TaskContainerSettings
        :param exit_conditions: How the Batch service should respond when the Task
         completes.
        :type exit_conditions: ~azure.batch.models.ExitConditions
        :param resource_files: A list of files that the Batch service will
         download to the Compute Node before running the command line. For
         multi-instance Tasks, the resource files will only be downloaded to the
         Compute Node on which the primary Task is executed. There is a maximum
         size for the list of resource files.  When the max size is exceeded, the
         request will fail and the response error code will be
         RequestEntityTooLarge. If this occurs, the collection of ResourceFiles
         must be reduced in size. This can be achieved using .zip files,
         Application Packages, or Docker Containers.
        :type resource_files: list[~azure.batch.models.ResourceFile]
        :param output_files: A list of files that the Batch service will upload
         from the Compute Node after running the command line. For multi-instance
         Tasks, the files will only be uploaded from the Compute Node on which the
         primary Task is executed.
        :type output_files: list[~azure.batch.models.OutputFile]
        :param environment_settings: A list of environment variable settings for
         the Task.
        :type environment_settings: list[~azure.batch.models.EnvironmentSetting]
        :param affinity_info: A locality hint that can be used by the Batch
         service to select a Compute Node on which to start the new Task.
        :type affinity_info: ~azure.batch.models.AffinityInformation
        :param constraints: The execution constraints that apply to this Task. If
         you do not specify constraints, the maxTaskRetryCount is the
         maxTaskRetryCount specified for the Job, the maxWallClockTime is infinite,
         and the retentionTime is 7 days.
        :type constraints: ~azure.batch.models.TaskConstraints
        :param user_identity: The user identity under which the Task runs. If
         omitted, the Task runs as a non-administrative user unique to the Task.
        :type user_identity: ~azure.batch.models.UserIdentity
        :param multi_instance_settings: An object that indicates that the Task is
         a multi-instance Task, and contains information about how to run the
         multi-instance Task.
        :type multi_instance_settings: ~azure.batch.models.MultiInstanceSettings
        :param depends_on: The Tasks that this Task depends on. This Task will not
         be scheduled until all Tasks that it depends on have completed
         successfully. If any of those Tasks fail and exhaust their retry counts,
         this Task will never be scheduled. If the Job does not have
         usesTaskDependencies set to true, and this element is present, the request
         fails with error code TaskDependenciesNotSpecifiedOnJob.
        :type depends_on: ~azure.batch.models.TaskDependencies
        :param application_package_references: A list of Packages that the Batch
         service will deploy to the Compute Node before running the command line.
         Application packages are downloaded and deployed to a shared directory,
         not the Task working directory. Therefore, if a referenced package is
         already on the Node, and is up to date, then it is not re-downloaded; the
         existing copy on the Compute Node is used. If a referenced Package cannot
         be installed, for example because the package has been deleted or because
         download failed, the Task fails.
        :type application_package_references:
         list[~azure.batch.models.ApplicationPackageReference]
        :param authentication_token_settings: The settings for an authentication
         token that the Task can use to perform Batch service operations. If this
         property is set, the Batch service provides the Task with an
         authentication token which can be used to authenticate Batch service
         operations without requiring an Account access key. The token is provided
         via the AZ_BATCH_AUTHENTICATION_TOKEN environment variable. The operations
         that the Task can carry out using the token depend on the settings. For
         example, a Task can request Job permissions in order to add other Tasks to
         the Job, or check the status of the Job or of other Tasks under the Job.
        :type authentication_token_settings:
         ~azure.batch.models.AuthenticationTokenSettings
        """

        _validation = {
            'id': {'required': True},
            'command_line': {'required': True},
        }

        _attribute_map = {
            'id': {'key': 'id', 'type': 'str'},
            'display_name': {'key': 'displayName', 'type': 'str'},
            'command_line': {'key': 'commandLine', 'type': 'str'},
            'container_settings': {'key': 'containerSettings', 'type': 'TaskContainerSettings'},
            'exit_conditions': {'key': 'exitConditions', 'type': 'ExitConditions'},
            'resource_files': {'key': 'resourceFiles', 'type': '[ResourceFile]'},
            'output_files': {'key': 'outputFiles', 'type': '[OutputFile]'},
            'environment_settings': {'key': 'environmentSettings', 'type': '[EnvironmentSetting]'},
            'affinity_info': {'key': 'affinityInfo', 'type': 'AffinityInformation'},
            'constraints': {'key': 'constraints', 'type': 'TaskConstraints'},
            'user_identity': {'key': 'userIdentity', 'type': 'UserIdentity'},
            'multi_instance_settings': {'key': 'multiInstanceSettings', 'type': 'MultiInstanceSettings'},
            'depends_on': {'key': 'dependsOn', 'type': 'TaskDependencies'},
            'application_package_references': {'key': 'applicationPackageReferences', 'type': '[ApplicationPackageReference]'},
            'authentication_token_settings': {'key': 'authenticationTokenSettings', 'type': 'AuthenticationTokenSettings'},
        }

        def __init__(self, *, id: str, command_line: str, display_name: str=None, container_settings=None, exit_conditions=None, resource_files=None, output_files=None, environment_settings=None, affinity_info=None, constraints=None, user_identity=None, multi_instance_settings=None, depends_on=None, application_package_references=None, authentication_token_settings=None, **kwargs) -> None:
            super(TaskAddParameter, self).__init__(**kwargs)
            self.id = id
            self.display_name = display_name
            self.command_line = command_line
            self.container_settings = container_settings
            self.exit_conditions = exit_conditions
            self.resource_files = resource_files
            self.output_files = output_files
            self.environment_settings = environment_settings
            self.affinity_info = affinity_info
            self.constraints = constraints
            self.user_identity = user_identity
            self.multi_instance_settings = multi_instance_settings
            self.depends_on = depends_on
            self.application_package_references = application_package_references
            self.authentication_token_settings = authentication_token_settings

    class TaskAddResult(Model):
        """Result for a single Task added as part of an add Task collection operation.

        All required parameters must be populated in order to send to Azure.

        :param status: Required. The status of the add Task request. Possible
         values include: 'success', 'clientError', 'serverError'
        :type status: str or ~azure.batch.models.TaskAddStatus
        :param task_id: Required. The ID of the Task for which this is the result.
        :type task_id: str
        :param e_tag: The ETag of the Task, if the Task was successfully added.
         You can use this to detect whether the Task has changed between requests.
         In particular, you can be pass the ETag with an Update Task request to
         specify that your changes should take effect only if nobody else has
         modified the Job in the meantime.
        :type e_tag: str
        :param last_modified: The last modified time of the Task.
        :type last_modified: datetime
        :param location: The URL of the Task, if the Task was successfully added.
        :type location: str
        :param error: The error encountered while attempting to add the Task.
        :type error: ~azure.batch.models.BatchError
        """

        _validation = {
            'status': {'required': True},
            'task_id': {'required': True},
        }

        _attribute_map = {
            'status': {'key': 'status', 'type': 'TaskAddStatus'},
            'task_id': {'key': 'taskId', 'type': 'str'},
            'e_tag': {'key': 'eTag', 'type': 'str'},
            'last_modified': {'key': 'lastModified', 'type': 'iso-8601'},
            'location': {'key': 'location', 'type': 'str'},
            'error': {'key': 'error', 'type': 'BatchError'},
        }

        def __init__(self, *, status, task_id: str, e_tag: str=None, last_modified=None, location: str=None, error=None, **kwargs) -> None:
            super(TaskAddResult, self).__init__(**kwargs)
            self.status = status
            self.task_id = task_id
            self.e_tag = e_tag
            self.last_modified = last_modified
            self.location = location
            self.error = error

    class TaskConstraints(Model):
        """Execution constraints to apply to a Task.

        :param max_wall_clock_time: The maximum elapsed time that the Task may
         run, measured from the time the Task starts. If the Task does not complete
         within the time limit, the Batch service terminates it. If this is not
         specified, there is no time limit on how long the Task may run.
        :type max_wall_clock_time: timedelta
        :param retention_time: The minimum time to retain the Task directory on
         the Compute Node where it ran, from the time it completes execution. After
         this time, the Batch service may delete the Task directory and all its
         contents. The default is 7 days, i.e. the Task directory will be retained
         for 7 days unless the Compute Node is removed or the Job is deleted.
        :type retention_time: timedelta
        :param max_task_retry_count: The maximum number of times the Task may be
         retried. The Batch service retries a Task if its exit code is nonzero.
         Note that this value specifically controls the number of retries for the
         Task executable due to a nonzero exit code. The Batch service will try the
         Task once, and may then retry up to this limit. For example, if the
         maximum retry count is 3, Batch tries the Task up to 4 times (one initial
         try and 3 retries). If the maximum retry count is 0, the Batch service
         does not retry the Task after the first attempt. If the maximum retry
         count is -1, the Batch service retries the Task without limit.
        :type max_task_retry_count: int
        """

        _attribute_map = {
            'max_wall_clock_time': {'key': 'maxWallClockTime', 'type': 'duration'},
            'retention_time': {'key': 'retentionTime', 'type': 'duration'},
            'max_task_retry_count': {'key': 'maxTaskRetryCount', 'type': 'int'},
        }

        def __init__(self, *, max_wall_clock_time=None, retention_time=None, max_task_retry_count: int=None, **kwargs) -> None:
            super(TaskConstraints, self).__init__(**kwargs)
            self.max_wall_clock_time = max_wall_clock_time
            self.retention_time = retention_time
            self.max_task_retry_count = max_task_retry_count

    class TaskContainerExecutionInformation(Model):
        """Contains information about the container which a Task is executing.

        :param container_id: The ID of the container.
        :type container_id: str
        :param state: The state of the container. This is the state of the
         container according to the Docker service. It is equivalent to the status
         field returned by "docker inspect".
        :type state: str
        :param error: Detailed error information about the container. This is the
         detailed error string from the Docker service, if available. It is
         equivalent to the error field returned by "docker inspect".
        :type error: str
        """

        _attribute_map = {
            'container_id': {'key': 'containerId', 'type': 'str'},
            'state': {'key': 'state', 'type': 'str'},
            'error': {'key': 'error', 'type': 'str'},
        }

        def __init__(self, *, container_id: str=None, state: str=None, error: str=None, **kwargs) -> None:
            super(TaskContainerExecutionInformation, self).__init__(**kwargs)
            self.container_id = container_id
            self.state = state
            self.error = error

    class TaskContainerSettings(Model):
        """The container settings for a Task.

        All required parameters must be populated in order to send to Azure.

        :param container_run_options: Additional options to the container create
         command. These additional options are supplied as arguments to the "docker
         create" command, in addition to those controlled by the Batch Service.
        :type container_run_options: str
        :param image_name: Required. The Image to use to create the container in
         which the Task will run. This is the full Image reference, as would be
         specified to "docker pull". If no tag is provided as part of the Image
         name, the tag ":latest" is used as a default.
        :type image_name: str
        :param registry: The private registry which contains the container Image.
         This setting can be omitted if was already provided at Pool creation.
        :type registry: ~azure.batch.models.ContainerRegistry
        :param working_directory: The location of the container Task working
         directory. The default is 'taskWorkingDirectory'. Possible values include:
         'taskWorkingDirectory', 'containerImageDefault'
        :type working_directory: str or
         ~azure.batch.models.ContainerWorkingDirectory
        """

        _validation = {
            'image_name': {'required': True},
        }

        _attribute_map = {
            'container_run_options': {'key': 'containerRunOptions', 'type': 'str'},
            'image_name': {'key': 'imageName', 'type': 'str'},
            'registry': {'key': 'registry', 'type': 'ContainerRegistry'},
            'working_directory': {'key': 'workingDirectory', 'type': 'ContainerWorkingDirectory'},
        }

        def __init__(self, *, image_name: str, container_run_options: str=None, registry=None, working_directory=None, **kwargs) -> None:
            super(TaskContainerSettings, self).__init__(**kwargs)
            self.container_run_options = container_run_options
            self.image_name = image_name
            self.registry = registry
            self.working_directory = working_directory

    class TaskCounts(Model):
        """The Task counts for a Job.

        All required parameters must be populated in order to send to Azure.

        :param active: Required. The number of Tasks in the active state.
        :type active: int
        :param running: Required. The number of Tasks in the running or preparing
         state.
        :type running: int
        :param completed: Required. The number of Tasks in the completed state.
        :type completed: int
        :param succeeded: Required. The number of Tasks which succeeded. A Task
         succeeds if its result (found in the executionInfo property) is 'success'.
        :type succeeded: int
        :param failed: Required. The number of Tasks which failed. A Task fails if
         its result (found in the executionInfo property) is 'failure'.
        :type failed: int
        """

        _validation = {
            'active': {'required': True},
            'running': {'required': True},
            'completed': {'required': True},
            'succeeded': {'required': True},
            'failed': {'required': True},
        }

        _attribute_map = {
            'active': {'key': 'active', 'type': 'int'},
            'running': {'key': 'running', 'type': 'int'},
            'completed': {'key': 'completed', 'type': 'int'},
            'succeeded': {'key': 'succeeded', 'type': 'int'},
            'failed': {'key': 'failed', 'type': 'int'},
        }

        def __init__(self, *, active: int, running: int, completed: int, succeeded: int, failed: int, **kwargs) -> None:
            super(TaskCounts, self).__init__(**kwargs)
            self.active = active
            self.running = running
            self.completed = completed
            self.succeeded = succeeded
            self.failed = failed

    class TaskDeleteOptions(Model):
        """Additional parameters for delete operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(TaskDeleteOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class TaskDependencies(Model):
        """Specifies any dependencies of a Task. Any Task that is explicitly specified
        or within a dependency range must complete before the dependant Task will
        be scheduled.

        :param task_ids: The list of Task IDs that this Task depends on. All Tasks
         in this list must complete successfully before the dependent Task can be
         scheduled. The taskIds collection is limited to 64000 characters total
         (i.e. the combined length of all Task IDs). If the taskIds collection
         exceeds the maximum length, the Add Task request fails with error code
         TaskDependencyListTooLong. In this case consider using Task ID ranges
         instead.
        :type task_ids: list[str]
        :param task_id_ranges: The list of Task ID ranges that this Task depends
         on. All Tasks in all ranges must complete successfully before the
         dependent Task can be scheduled.
        :type task_id_ranges: list[~azure.batch.models.TaskIdRange]
        """

        _attribute_map = {
            'task_ids': {'key': 'taskIds', 'type': '[str]'},
            'task_id_ranges': {'key': 'taskIdRanges', 'type': '[TaskIdRange]'},
        }

        def __init__(self, *, task_ids=None, task_id_ranges=None, **kwargs) -> None:
            super(TaskDependencies, self).__init__(**kwargs)
            self.task_ids = task_ids
            self.task_id_ranges = task_id_ranges

    class TaskExecutionInformation(Model):
        """Information about the execution of a Task.

        All required parameters must be populated in order to send to Azure.

        :param start_time: The time at which the Task started running. 'Running'
         corresponds to the running state, so if the Task specifies resource files
         or Packages, then the start time reflects the time at which the Task
         started downloading or deploying these. If the Task has been restarted or
         retried, this is the most recent time at which the Task started running.
         This property is present only for Tasks that are in the running or
         completed state.
        :type start_time: datetime
        :param end_time: The time at which the Task completed. This property is
         set only if the Task is in the Completed state.
        :type end_time: datetime
        :param exit_code: The exit code of the program specified on the Task
         command line. This property is set only if the Task is in the completed
         state. In general, the exit code for a process reflects the specific
         convention implemented by the application developer for that process. If
         you use the exit code value to make decisions in your code, be sure that
         you know the exit code convention used by the application process.
         However, if the Batch service terminates the Task (due to timeout, or user
         termination via the API) you may see an operating system-defined exit
         code.
        :type exit_code: int
        :param container_info: Information about the container under which the
         Task is executing. This property is set only if the Task runs in a
         container context.
        :type container_info:
         ~azure.batch.models.TaskContainerExecutionInformation
        :param failure_info: Information describing the Task failure, if any. This
         property is set only if the Task is in the completed state and encountered
         a failure.
        :type failure_info: ~azure.batch.models.TaskFailureInformation
        :param retry_count: Required. The number of times the Task has been
         retried by the Batch service. Task application failures (non-zero exit
         code) are retried, pre-processing errors (the Task could not be run) and
         file upload errors are not retried. The Batch service will retry the Task
         up to the limit specified by the constraints.
        :type retry_count: int
        :param last_retry_time: The most recent time at which a retry of the Task
         started running. This element is present only if the Task was retried
         (i.e. retryCount is nonzero). If present, this is typically the same as
         startTime, but may be different if the Task has been restarted for reasons
         other than retry; for example, if the Compute Node was rebooted during a
         retry, then the startTime is updated but the lastRetryTime is not.
        :type last_retry_time: datetime
        :param requeue_count: Required. The number of times the Task has been
         requeued by the Batch service as the result of a user request. When the
         user removes Compute Nodes from a Pool (by resizing/shrinking the pool) or
         when the Job is being disabled, the user can specify that running Tasks on
         the Compute Nodes be requeued for execution. This count tracks how many
         times the Task has been requeued for these reasons.
        :type requeue_count: int
        :param last_requeue_time: The most recent time at which the Task has been
         requeued by the Batch service as the result of a user request. This
         property is set only if the requeueCount is nonzero.
        :type last_requeue_time: datetime
        :param result: The result of the Task execution. If the value is 'failed',
         then the details of the failure can be found in the failureInfo property.
         Possible values include: 'success', 'failure'
        :type result: str or ~azure.batch.models.TaskExecutionResult
        """

        _validation = {
            'retry_count': {'required': True},
            'requeue_count': {'required': True},
        }

        _attribute_map = {
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
            'exit_code': {'key': 'exitCode', 'type': 'int'},
            'container_info': {'key': 'containerInfo', 'type': 'TaskContainerExecutionInformation'},
            'failure_info': {'key': 'failureInfo', 'type': 'TaskFailureInformation'},
            'retry_count': {'key': 'retryCount', 'type': 'int'},
            'last_retry_time': {'key': 'lastRetryTime', 'type': 'iso-8601'},
            'requeue_count': {'key': 'requeueCount', 'type': 'int'},
            'last_requeue_time': {'key': 'lastRequeueTime', 'type': 'iso-8601'},
            'result': {'key': 'result', 'type': 'TaskExecutionResult'},
        }

        def __init__(self, *, retry_count: int, requeue_count: int, start_time=None, end_time=None, exit_code: int=None, container_info=None, failure_info=None, last_retry_time=None, last_requeue_time=None, result=None, **kwargs) -> None:
            super(TaskExecutionInformation, self).__init__(**kwargs)
            self.start_time = start_time
            self.end_time = end_time
            self.exit_code = exit_code
            self.container_info = container_info
            self.failure_info = failure_info
            self.retry_count = retry_count
            self.last_retry_time = last_retry_time
            self.requeue_count = requeue_count
            self.last_requeue_time = last_requeue_time
            self.result = result

    class TaskFailureInformation(Model):
        """Information about a Task failure.

        All required parameters must be populated in order to send to Azure.

        :param category: Required. The category of the Task error. Possible values
         include: 'userError', 'serverError'
        :type category: str or ~azure.batch.models.ErrorCategory
        :param code: An identifier for the Task error. Codes are invariant and are
         intended to be consumed programmatically.
        :type code: str
        :param message: A message describing the Task error, intended to be
         suitable for display in a user interface.
        :type message: str
        :param details: A list of additional details related to the error.
        :type details: list[~azure.batch.models.NameValuePair]
        """

        _validation = {
            'category': {'required': True},
        }

        _attribute_map = {
            'category': {'key': 'category', 'type': 'ErrorCategory'},
            'code': {'key': 'code', 'type': 'str'},
            'message': {'key': 'message', 'type': 'str'},
            'details': {'key': 'details', 'type': '[NameValuePair]'},
        }

        def __init__(self, *, category, code: str=None, message: str=None, details=None, **kwargs) -> None:
            super(TaskFailureInformation, self).__init__(**kwargs)
            self.category = category
            self.code = code
            self.message = message
            self.details = details

    class TaskGetOptions(Model):
        """Additional parameters for get operation.

        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, expand: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(TaskGetOptions, self).__init__(**kwargs)
            self.select = select
            self.expand = expand
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class TaskIdRange(Model):
        """A range of Task IDs that a Task can depend on. All Tasks with IDs in the
        range must complete successfully before the dependent Task can be
        scheduled.

        The start and end of the range are inclusive. For example, if a range has
        start 9 and end 12, then it represents Tasks '9', '10', '11' and '12'.

        All required parameters must be populated in order to send to Azure.

        :param start: Required. The first Task ID in the range.
        :type start: int
        :param end: Required. The last Task ID in the range.
        :type end: int
        """

        _validation = {
            'start': {'required': True},
            'end': {'required': True},
        }

        _attribute_map = {
            'start': {'key': 'start', 'type': 'int'},
            'end': {'key': 'end', 'type': 'int'},
        }

        def __init__(self, *, start: int, end: int, **kwargs) -> None:
            super(TaskIdRange, self).__init__(**kwargs)
            self.start = start
            self.end = end

    class TaskInformation(Model):
        """Information about a Task running on a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param task_url: The URL of the Task.
        :type task_url: str
        :param job_id: The ID of the Job to which the Task belongs.
        :type job_id: str
        :param task_id: The ID of the Task.
        :type task_id: str
        :param subtask_id: The ID of the subtask if the Task is a multi-instance
         Task.
        :type subtask_id: int
        :param task_state: Required. The current state of the Task. Possible
         values include: 'active', 'preparing', 'running', 'completed'
        :type task_state: str or ~azure.batch.models.TaskState
        :param execution_info: Information about the execution of the Task.
        :type execution_info: ~azure.batch.models.TaskExecutionInformation
        """

        _validation = {
            'task_state': {'required': True},
        }

        _attribute_map = {
            'task_url': {'key': 'taskUrl', 'type': 'str'},
            'job_id': {'key': 'jobId', 'type': 'str'},
            'task_id': {'key': 'taskId', 'type': 'str'},
            'subtask_id': {'key': 'subtaskId', 'type': 'int'},
            'task_state': {'key': 'taskState', 'type': 'TaskState'},
            'execution_info': {'key': 'executionInfo', 'type': 'TaskExecutionInformation'},
        }

        def __init__(self, *, task_state, task_url: str=None, job_id: str=None, task_id: str=None, subtask_id: int=None, execution_info=None, **kwargs) -> None:
            super(TaskInformation, self).__init__(**kwargs)
            self.task_url = task_url
            self.job_id = job_id
            self.task_id = task_id
            self.subtask_id = subtask_id
            self.task_state = task_state
            self.execution_info = execution_info

    class TaskListOptions(Model):
        """Additional parameters for list operation.

        :param filter: An OData $filter clause. For more information on
         constructing this filter, see
         https://docs.microsoft.com/en-us/rest/api/batchservice/odata-filters-in-batch#list-tasks.
        :type filter: str
        :param select: An OData $select clause.
        :type select: str
        :param expand: An OData $expand clause.
        :type expand: str
        :param max_results: The maximum number of items to return in the response.
         A maximum of 1000 Tasks can be returned. Default value: 1000 .
        :type max_results: int
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'filter': {'key': '', 'type': 'str'},
            'select': {'key': '', 'type': 'str'},
            'expand': {'key': '', 'type': 'str'},
            'max_results': {'key': '', 'type': 'int'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, filter: str=None, select: str=None, expand: str=None, max_results: int=1000, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(TaskListOptions, self).__init__(**kwargs)
            self.filter = filter
            self.select = select
            self.expand = expand
            self.max_results = max_results
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class TaskListSubtasksOptions(Model):
        """Additional parameters for list_subtasks operation.

        :param select: An OData $select clause.
        :type select: str
        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        """

        _attribute_map = {
            'select': {'key': '', 'type': 'str'},
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, select: str=None, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, **kwargs) -> None:
            super(TaskListSubtasksOptions, self).__init__(**kwargs)
            self.select = select
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date

    class TaskReactivateOptions(Model):
        """Additional parameters for reactivate operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(TaskReactivateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class TaskSchedulingPolicy(Model):
        """Specifies how Tasks should be distributed across Compute Nodes.

        All required parameters must be populated in order to send to Azure.

        :param node_fill_type: Required. How Tasks are distributed across Compute
         Nodes in a Pool. If not specified, the default is spread. Possible values
         include: 'spread', 'pack'
        :type node_fill_type: str or ~azure.batch.models.ComputeNodeFillType
        """

        _validation = {
            'node_fill_type': {'required': True},
        }

        _attribute_map = {
            'node_fill_type': {'key': 'nodeFillType', 'type': 'ComputeNodeFillType'},
        }

        def __init__(self, *, node_fill_type, **kwargs) -> None:
            super(TaskSchedulingPolicy, self).__init__(**kwargs)
            self.node_fill_type = node_fill_type

    class TaskStatistics(Model):
        """Resource usage statistics for a Task.

        All required parameters must be populated in order to send to Azure.

        :param url: Required. The URL of the statistics.
        :type url: str
        :param start_time: Required. The start time of the time range covered by
         the statistics.
        :type start_time: datetime
        :param last_update_time: Required. The time at which the statistics were
         last updated. All statistics are limited to the range between startTime
         and lastUpdateTime.
        :type last_update_time: datetime
        :param user_cpu_time: Required. The total user mode CPU time (summed
         across all cores and all Compute Nodes) consumed by the Task.
        :type user_cpu_time: timedelta
        :param kernel_cpu_time: Required. The total kernel mode CPU time (summed
         across all cores and all Compute Nodes) consumed by the Task.
        :type kernel_cpu_time: timedelta
        :param wall_clock_time: Required. The total wall clock time of the Task.
         The wall clock time is the elapsed time from when the Task started running
         on a Compute Node to when it finished (or to the last time the statistics
         were updated, if the Task had not finished by then). If the Task was
         retried, this includes the wall clock time of all the Task retries.
        :type wall_clock_time: timedelta
        :param read_iops: Required. The total number of disk read operations made
         by the Task.
        :type read_iops: long
        :param write_iops: Required. The total number of disk write operations
         made by the Task.
        :type write_iops: long
        :param read_io_gi_b: Required. The total gibibytes read from disk by the
         Task.
        :type read_io_gi_b: float
        :param write_io_gi_b: Required. The total gibibytes written to disk by the
         Task.
        :type write_io_gi_b: float
        :param wait_time: Required. The total wait time of the Task. The wait time
         for a Task is defined as the elapsed time between the creation of the Task
         and the start of Task execution. (If the Task is retried due to failures,
         the wait time is the time to the most recent Task execution.).
        :type wait_time: timedelta
        """

        _validation = {
            'url': {'required': True},
            'start_time': {'required': True},
            'last_update_time': {'required': True},
            'user_cpu_time': {'required': True},
            'kernel_cpu_time': {'required': True},
            'wall_clock_time': {'required': True},
            'read_iops': {'required': True},
            'write_iops': {'required': True},
            'read_io_gi_b': {'required': True},
            'write_io_gi_b': {'required': True},
            'wait_time': {'required': True},
        }

        _attribute_map = {
            'url': {'key': 'url', 'type': 'str'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
            'user_cpu_time': {'key': 'userCPUTime', 'type': 'duration'},
            'kernel_cpu_time': {'key': 'kernelCPUTime', 'type': 'duration'},
            'wall_clock_time': {'key': 'wallClockTime', 'type': 'duration'},
            'read_iops': {'key': 'readIOps', 'type': 'long'},
            'write_iops': {'key': 'writeIOps', 'type': 'long'},
            'read_io_gi_b': {'key': 'readIOGiB', 'type': 'float'},
            'write_io_gi_b': {'key': 'writeIOGiB', 'type': 'float'},
            'wait_time': {'key': 'waitTime', 'type': 'duration'},
        }

        def __init__(self, *, url: str, start_time, last_update_time, user_cpu_time, kernel_cpu_time, wall_clock_time, read_iops: int, write_iops: int, read_io_gi_b: float, write_io_gi_b: float, wait_time, **kwargs) -> None:
            super(TaskStatistics, self).__init__(**kwargs)
            self.url = url
            self.start_time = start_time
            self.last_update_time = last_update_time
            self.user_cpu_time = user_cpu_time
            self.kernel_cpu_time = kernel_cpu_time
            self.wall_clock_time = wall_clock_time
            self.read_iops = read_iops
            self.write_iops = write_iops
            self.read_io_gi_b = read_io_gi_b
            self.write_io_gi_b = write_io_gi_b
            self.wait_time = wait_time

    class TaskTerminateOptions(Model):
        """Additional parameters for terminate operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(TaskTerminateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class TaskUpdateOptions(Model):
        """Additional parameters for update operation.

        :param timeout: The maximum time that the server can spend processing the
         request, in seconds. The default is 30 seconds. Default value: 30 .
        :type timeout: int
        :param client_request_id: The caller-generated request identity, in the
         form of a GUID with no decoration such as curly braces, e.g.
         9C4D50EE-2D56-4CD3-8152-34347DC9F2B0.
        :type client_request_id: str
        :param return_client_request_id: Whether the server should return the
         client-request-id in the response. Default value: False .
        :type return_client_request_id: bool
        :param ocp_date: The time the request was issued. Client libraries
         typically set this to the current system clock time; set it explicitly if
         you are calling the REST API directly.
        :type ocp_date: datetime
        :param if_match: An ETag value associated with the version of the resource
         known to the client. The operation will be performed only if the
         resource's current ETag on the service exactly matches the value specified
         by the client.
        :type if_match: str
        :param if_none_match: An ETag value associated with the version of the
         resource known to the client. The operation will be performed only if the
         resource's current ETag on the service does not match the value specified
         by the client.
        :type if_none_match: str
        :param if_modified_since: A timestamp indicating the last modified time of
         the resource known to the client. The operation will be performed only if
         the resource on the service has been modified since the specified time.
        :type if_modified_since: datetime
        :param if_unmodified_since: A timestamp indicating the last modified time
         of the resource known to the client. The operation will be performed only
         if the resource on the service has not been modified since the specified
         time.
        :type if_unmodified_since: datetime
        """

        _attribute_map = {
            'timeout': {'key': '', 'type': 'int'},
            'client_request_id': {'key': '', 'type': 'str'},
            'return_client_request_id': {'key': '', 'type': 'bool'},
            'ocp_date': {'key': '', 'type': 'rfc-1123'},
            'if_match': {'key': '', 'type': 'str'},
            'if_none_match': {'key': '', 'type': 'str'},
            'if_modified_since': {'key': '', 'type': 'rfc-1123'},
            'if_unmodified_since': {'key': '', 'type': 'rfc-1123'},
        }

        def __init__(self, *, timeout: int=30, client_request_id: str=None, return_client_request_id: bool=False, ocp_date=None, if_match: str=None, if_none_match: str=None, if_modified_since=None, if_unmodified_since=None, **kwargs) -> None:
            super(TaskUpdateOptions, self).__init__(**kwargs)
            self.timeout = timeout
            self.client_request_id = client_request_id
            self.return_client_request_id = return_client_request_id
            self.ocp_date = ocp_date
            self.if_match = if_match
            self.if_none_match = if_none_match
            self.if_modified_since = if_modified_since
            self.if_unmodified_since = if_unmodified_since

    class TaskUpdateParameter(Model):
        """The set of changes to be made to a Task.

        :param constraints: Constraints that apply to this Task. If omitted, the
         Task is given the default constraints. For multi-instance Tasks, updating
         the retention time applies only to the primary Task and not subtasks.
        :type constraints: ~azure.batch.models.TaskConstraints
        """

        _attribute_map = {
            'constraints': {'key': 'constraints', 'type': 'TaskConstraints'},
        }

        def __init__(self, *, constraints=None, **kwargs) -> None:
            super(TaskUpdateParameter, self).__init__(**kwargs)
            self.constraints = constraints

    class UploadBatchServiceLogsConfiguration(Model):
        """The Azure Batch service log files upload configuration for a Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param container_url: Required. The URL of the container within Azure Blob
         Storage to which to upload the Batch Service log file(s). The URL must
         include a Shared Access Signature (SAS) granting write permissions to the
         container. The SAS duration must allow enough time for the upload to
         finish. The start time for SAS is optional and recommended to not be
         specified.
        :type container_url: str
        :param start_time: Required. The start of the time range from which to
         upload Batch Service log file(s). Any log file containing a log message in
         the time range will be uploaded. This means that the operation might
         retrieve more logs than have been requested since the entire log file is
         always uploaded, but the operation should not retrieve fewer logs than
         have been requested.
        :type start_time: datetime
        :param end_time: The end of the time range from which to upload Batch
         Service log file(s). Any log file containing a log message in the time
         range will be uploaded. This means that the operation might retrieve more
         logs than have been requested since the entire log file is always
         uploaded, but the operation should not retrieve fewer logs than have been
         requested. If omitted, the default is to upload all logs available after
         the startTime.
        :type end_time: datetime
        """

        _validation = {
            'container_url': {'required': True},
            'start_time': {'required': True},
        }

        _attribute_map = {
            'container_url': {'key': 'containerUrl', 'type': 'str'},
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'end_time': {'key': 'endTime', 'type': 'iso-8601'},
        }

        def __init__(self, *, container_url: str, start_time, end_time=None, **kwargs) -> None:
            super(UploadBatchServiceLogsConfiguration, self).__init__(**kwargs)
            self.container_url = container_url
            self.start_time = start_time
            self.end_time = end_time

    class UploadBatchServiceLogsResult(Model):
        """The result of uploading Batch service log files from a specific Compute
        Node.

        All required parameters must be populated in order to send to Azure.

        :param virtual_directory_name: Required. The virtual directory within
         Azure Blob Storage container to which the Batch Service log file(s) will
         be uploaded. The virtual directory name is part of the blob name for each
         log file uploaded, and it is built based poolId, nodeId and a unique
         identifier.
        :type virtual_directory_name: str
        :param number_of_files_uploaded: Required. The number of log files which
         will be uploaded.
        :type number_of_files_uploaded: int
        """

        _validation = {
            'virtual_directory_name': {'required': True},
            'number_of_files_uploaded': {'required': True},
        }

        _attribute_map = {
            'virtual_directory_name': {'key': 'virtualDirectoryName', 'type': 'str'},
            'number_of_files_uploaded': {'key': 'numberOfFilesUploaded', 'type': 'int'},
        }

        def __init__(self, *, virtual_directory_name: str, number_of_files_uploaded: int, **kwargs) -> None:
            super(UploadBatchServiceLogsResult, self).__init__(**kwargs)
            self.virtual_directory_name = virtual_directory_name
            self.number_of_files_uploaded = number_of_files_uploaded

    class UsageStatistics(Model):
        """Statistics related to Pool usage information.

        All required parameters must be populated in order to send to Azure.

        :param start_time: Required. The start time of the time range covered by
         the statistics.
        :type start_time: datetime
        :param last_update_time: Required. The time at which the statistics were
         last updated. All statistics are limited to the range between startTime
         and lastUpdateTime.
        :type last_update_time: datetime
        :param dedicated_core_time: Required. The aggregated wall-clock time of
         the dedicated Compute Node cores being part of the Pool.
        :type dedicated_core_time: timedelta
        """

        _validation = {
            'start_time': {'required': True},
            'last_update_time': {'required': True},
            'dedicated_core_time': {'required': True},
        }

        _attribute_map = {
            'start_time': {'key': 'startTime', 'type': 'iso-8601'},
            'last_update_time': {'key': 'lastUpdateTime', 'type': 'iso-8601'},
            'dedicated_core_time': {'key': 'dedicatedCoreTime', 'type': 'duration'},
        }

        def __init__(self, *, start_time, last_update_time, dedicated_core_time, **kwargs) -> None:
            super(UsageStatistics, self).__init__(**kwargs)
            self.start_time = start_time
            self.last_update_time = last_update_time
            self.dedicated_core_time = dedicated_core_time

    class UserAccount(Model):
        """Properties used to create a user used to execute Tasks on an Azure Batch
        Compute Node.

        All required parameters must be populated in order to send to Azure.

        :param name: Required. The name of the user Account.
        :type name: str
        :param password: Required. The password for the user Account.
        :type password: str
        :param elevation_level: The elevation level of the user Account. The
         default value is nonAdmin. Possible values include: 'nonAdmin', 'admin'
        :type elevation_level: str or ~azure.batch.models.ElevationLevel
        :param linux_user_configuration: The Linux-specific user configuration for
         the user Account. This property is ignored if specified on a Windows Pool.
         If not specified, the user is created with the default options.
        :type linux_user_configuration: ~azure.batch.models.LinuxUserConfiguration
        :param windows_user_configuration: The Windows-specific user configuration
         for the user Account. This property can only be specified if the user is
         on a Windows Pool. If not specified and on a Windows Pool, the user is
         created with the default options.
        :type windows_user_configuration:
         ~azure.batch.models.WindowsUserConfiguration
        """

        _validation = {
            'name': {'required': True},
            'password': {'required': True},
        }

        _attribute_map = {
            'name': {'key': 'name', 'type': 'str'},
            'password': {'key': 'password', 'type': 'str'},
            'elevation_level': {'key': 'elevationLevel', 'type': 'ElevationLevel'},
            'linux_user_configuration': {'key': 'linuxUserConfiguration', 'type': 'LinuxUserConfiguration'},
            'windows_user_configuration': {'key': 'windowsUserConfiguration', 'type': 'WindowsUserConfiguration'},
        }

        def __init__(self, *, name: str, password: str, elevation_level=None, linux_user_configuration=None, windows_user_configuration=None, **kwargs) -> None:
            super(UserAccount, self).__init__(**kwargs)
            self.name = name
            self.password = password
            self.elevation_level = elevation_level
            self.linux_user_configuration = linux_user_configuration
            self.windows_user_configuration = windows_user_configuration

    class UserIdentity(Model):
        """The definition of the user identity under which the Task is run.

        Specify either the userName or autoUser property, but not both.

        :param user_name: The name of the user identity under which the Task is
         run. The userName and autoUser properties are mutually exclusive; you must
         specify one but not both.
        :type user_name: str
        :param auto_user: The auto user under which the Task is run. The userName
         and autoUser properties are mutually exclusive; you must specify one but
         not both.
        :type auto_user: ~azure.batch.models.AutoUserSpecification
        """

        _attribute_map = {
            'user_name': {'key': 'username', 'type': 'str'},
            'auto_user': {'key': 'autoUser', 'type': 'AutoUserSpecification'},
        }

        def __init__(self, *, user_name: str=None, auto_user=None, **kwargs) -> None:
            super(UserIdentity, self).__init__(**kwargs)
            self.user_name = user_name
            self.auto_user = auto_user

    class VirtualMachineConfiguration(Model):
        """The configuration for Compute Nodes in a Pool based on the Azure Virtual
        Machines infrastructure.

        All required parameters must be populated in order to send to Azure.

        :param image_reference: Required. A reference to the Azure Virtual
         Machines Marketplace Image or the custom Virtual Machine Image to use.
        :type image_reference: ~azure.batch.models.ImageReference
        :param node_agent_sku_id: Required. The SKU of the Batch Compute Node
         agent to be provisioned on Compute Nodes in the Pool. The Batch Compute
         Node agent is a program that runs on each Compute Node in the Pool, and
         provides the command-and-control interface between the Compute Node and
         the Batch service. There are different implementations of the Compute Node
         agent, known as SKUs, for different operating systems. You must specify a
         Compute Node agent SKU which matches the selected Image reference. To get
         the list of supported Compute Node agent SKUs along with their list of
         verified Image references, see the 'List supported Compute Node agent
         SKUs' operation.
        :type node_agent_sku_id: str
        :param windows_configuration: Windows operating system settings on the
         virtual machine. This property must not be specified if the imageReference
         property specifies a Linux OS Image.
        :type windows_configuration: ~azure.batch.models.WindowsConfiguration
        :param data_disks: The configuration for data disks attached to the
         Compute Nodes in the Pool. This property must be specified if the Compute
         Nodes in the Pool need to have empty data disks attached to them. This
         cannot be updated. Each Compute Node gets its own disk (the disk is not a
         file share). Existing disks cannot be attached, each attached disk is
         empty. When the Compute Node is removed from the Pool, the disk and all
         data associated with it is also deleted. The disk is not formatted after
         being attached, it must be formatted before use - for more information see
         https://docs.microsoft.com/en-us/azure/virtual-machines/linux/add-disk
         and
         https://docs.microsoft.com/en-us/azure/virtual-machines/windows/attach-disk-ps#add-an-empty-data-disk-to-a-virtual-machine.
        :type data_disks: list[~azure.batch.models.DataDisk]
        :param license_type: The type of on-premises license to be used when
         deploying the operating system. This only applies to Images that contain
         the Windows operating system, and should only be used when you hold valid
         on-premises licenses for the Compute Nodes which will be deployed. If
         omitted, no on-premises licensing discount is applied. Values are:
         Windows_Server - The on-premises license is for Windows Server.
         Windows_Client - The on-premises license is for Windows Client.
        :type license_type: str
        :param container_configuration: The container configuration for the Pool.
         If specified, setup is performed on each Compute Node in the Pool to allow
         Tasks to run in containers. All regular Tasks and Job manager Tasks run on
         this Pool must specify the containerSettings property, and all other Tasks
         may specify it.
        :type container_configuration: ~azure.batch.models.ContainerConfiguration
        """

        _validation = {
            'image_reference': {'required': True},
            'node_agent_sku_id': {'required': True},
        }

        _attribute_map = {
            'image_reference': {'key': 'imageReference', 'type': 'ImageReference'},
            'node_agent_sku_id': {'key': 'nodeAgentSKUId', 'type': 'str'},
            'windows_configuration': {'key': 'windowsConfiguration', 'type': 'WindowsConfiguration'},
            'data_disks': {'key': 'dataDisks', 'type': '[DataDisk]'},
            'license_type': {'key': 'licenseType', 'type': 'str'},
            'container_configuration': {'key': 'containerConfiguration', 'type': 'ContainerConfiguration'},
        }

        def __init__(self, *, image_reference, node_agent_sku_id: str, windows_configuration=None, data_disks=None, license_type: str=None, container_configuration=None, **kwargs) -> None:
            super(VirtualMachineConfiguration, self).__init__(**kwargs)
            self.image_reference = image_reference
            self.node_agent_sku_id = node_agent_sku_id
            self.windows_configuration = windows_configuration
            self.data_disks = data_disks
            self.license_type = license_type
            self.container_configuration = container_configuration

    class WindowsConfiguration(Model):
        """Windows operating system settings to apply to the virtual machine.

        :param enable_automatic_updates: Whether automatic updates are enabled on
         the virtual machine. If omitted, the default value is true.
        :type enable_automatic_updates: bool
        """

        _attribute_map = {
            'enable_automatic_updates': {'key': 'enableAutomaticUpdates', 'type': 'bool'},
        }

        def __init__(self, *, enable_automatic_updates: bool=None, **kwargs) -> None:
            super(WindowsConfiguration, self).__init__(**kwargs)
            self.enable_automatic_updates = enable_automatic_updates

    class WindowsUserConfiguration(Model):
        """Properties used to create a user Account on a Windows Compute Node.

        :param login_mode: The login mode for the user. The default value for
         VirtualMachineConfiguration Pools is 'batch' and for
         CloudServiceConfiguration Pools is 'interactive'. Possible values include:
         'batch', 'interactive'
        :type login_mode: str or ~azure.batch.models.LoginMode
        """

        _attribute_map = {
            'login_mode': {'key': 'loginMode', 'type': 'LoginMode'},
        }

        def __init__(self, *, login_mode=None, **kwargs) -> None:
            super(WindowsUserConfiguration, self).__init__(**kwargs)
            self.login_mode = login_mode