# 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 typing import TYPE_CHECKING
import warnings

from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpRequest, HttpResponse
from azure.core.polling import LROPoller, NoPolling, PollingMethod
from azure.mgmt.core.exceptions import ARMErrorFormat
from azure.mgmt.core.polling.arm_polling import ARMPolling

from .. import models as _models

if TYPE_CHECKING:
    # pylint: disable=unused-import,ungrouped-imports
    from typing import Any, Callable, Dict, Generic, Iterable, Optional, TypeVar, Union

    T = TypeVar('T')
    ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]

class JobsOperations(object):
    """JobsOperations operations.

    You should not instantiate this class directly. Instead, you should create a Client instance that
    instantiates it for you and attaches it as an attribute.

    :ivar models: Alias to model classes used in this operation group.
    :type models: ~batch_ai.models
    :param client: Client for service requests.
    :param config: Configuration of service client.
    :param serializer: An object model serializer.
    :param deserializer: An object model deserializer.
    """

    models = _models

    def __init__(self, client, config, serializer, deserializer):
        self._client = client
        self._serialize = serializer
        self._deserialize = deserializer
        self._config = config

    def list_by_experiment(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        jobs_list_by_experiment_options=None,  # type: Optional["_models.JobsListByExperimentOptions"]
        **kwargs  # type: Any
    ):
        # type: (...) -> Iterable["_models.JobListResult"]
        """Gets a list of Jobs within the specified Experiment.

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param jobs_list_by_experiment_options: Parameter group.
        :type jobs_list_by_experiment_options: ~batch_ai.models.JobsListByExperimentOptions
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: An iterator like instance of either JobListResult or the result of cls(response)
        :rtype: ~azure.core.paging.ItemPaged[~batch_ai.models.JobListResult]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.JobListResult"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        
        _max_results = None
        if jobs_list_by_experiment_options is not None:
            _max_results = jobs_list_by_experiment_options.max_results
        api_version = "2018-05-01"
        accept = "application/json"

        def prepare_request(next_link=None):
            # Construct headers
            header_parameters = {}  # type: Dict[str, Any]
            header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

            if not next_link:
                # Construct URL
                url = self.list_by_experiment.metadata['url']  # type: ignore
                path_format_arguments = {
                    'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
                    'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
                }
                url = self._client.format_url(url, **path_format_arguments)
                # Construct parameters
                query_parameters = {}  # type: Dict[str, Any]
                if _max_results is not None:
                    query_parameters['maxresults'] = self._serialize.query("max_results", _max_results, 'int', maximum=1000, minimum=1)
                query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

                request = self._client.get(url, query_parameters, header_parameters)
            else:
                url = next_link
                query_parameters = {}  # type: Dict[str, Any]
                request = self._client.get(url, query_parameters, header_parameters)
            return request

        def extract_data(pipeline_response):
            deserialized = self._deserialize('JobListResult', pipeline_response)
            list_of_elem = deserialized.value
            if cls:
                list_of_elem = cls(list_of_elem)
            return deserialized.next_link or None, iter(list_of_elem)

        def get_next(next_link=None):
            request = prepare_request(next_link)

            pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response, error_format=ARMErrorFormat)

            return pipeline_response

        return ItemPaged(
            get_next, extract_data
        )
    list_by_experiment.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs'}  # type: ignore

    def _create_initial(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        parameters,  # type: "_models.JobCreateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> Optional["_models.Job"]
        cls = kwargs.pop('cls', None)  # type: ClsType[Optional["_models.Job"]]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2018-05-01"
        content_type = kwargs.pop("content_type", "application/json")
        accept = "application/json"

        # Construct URL
        url = self._create_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str')
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        body_content_kwargs = {}  # type: Dict[str, Any]
        body_content = self._serialize.body(parameters, 'JobCreateParameters')
        body_content_kwargs['content'] = body_content
        request = self._client.put(url, query_parameters, header_parameters, **body_content_kwargs)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = None
        if response.status_code == 200:
            deserialized = self._deserialize('Job', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    _create_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}'}  # type: ignore

    def begin_create(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        parameters,  # type: "_models.JobCreateParameters"
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller["_models.Job"]
        """Creates a Job in the given Experiment.

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param job_name: The name of the job within the specified resource group. Job names can only
         contain a combination of alphanumeric characters along with dash (-) and underscore (_). The
         name must be from 1 through 64 characters long.
        :type job_name: str
        :param parameters: The parameters to provide for job creation.
        :type parameters: ~batch_ai.models.JobCreateParameters
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: By default, your polling method will be ARMPolling.
         Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy.
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either Job or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[~batch_ai.models.Job]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.Job"]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._create_initial(
                resource_group_name=resource_group_name,
                workspace_name=workspace_name,
                experiment_name=experiment_name,
                job_name=job_name,
                parameters=parameters,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            deserialized = self._deserialize('Job', pipeline_response)

            if cls:
                return cls(pipeline_response, deserialized, {})
            return deserialized

        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }

        if polling is True: polling_method = ARMPolling(lro_delay, path_format_arguments=path_format_arguments,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_create.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}'}  # type: ignore

    def _delete_initial(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> None
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2018-05-01"
        accept = "application/json"

        # Construct URL
        url = self._delete_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.delete(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})

    _delete_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}'}  # type: ignore

    def begin_delete(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller[None]
        """Deletes a Job.

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param job_name: The name of the job within the specified resource group. Job names can only
         contain a combination of alphanumeric characters along with dash (-) and underscore (_). The
         name must be from 1 through 64 characters long.
        :type job_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: By default, your polling method will be ARMPolling.
         Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy.
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either None or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._delete_initial(
                resource_group_name=resource_group_name,
                workspace_name=workspace_name,
                experiment_name=experiment_name,
                job_name=job_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            if cls:
                return cls(pipeline_response, None, {})

        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }

        if polling is True: polling_method = ARMPolling(lro_delay, path_format_arguments=path_format_arguments,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}'}  # type: ignore

    def get(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> "_models.Job"
        """Gets information about a Job.

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param job_name: The name of the job within the specified resource group. Job names can only
         contain a combination of alphanumeric characters along with dash (-) and underscore (_). The
         name must be from 1 through 64 characters long.
        :type job_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: Job, or the result of cls(response)
        :rtype: ~batch_ai.models.Job
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.Job"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2018-05-01"
        accept = "application/json"

        # Construct URL
        url = self.get.metadata['url']  # type: ignore
        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.get(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        deserialized = self._deserialize('Job', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized
    get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}'}  # type: ignore

    def list_output_files(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        jobs_list_output_files_options,  # type: "_models.JobsListOutputFilesOptions"
        **kwargs  # type: Any
    ):
        # type: (...) -> Iterable["_models.FileListResult"]
        """List all directories and files inside the given directory of the Job's output directory (if the
        output directory is on Azure File Share or Azure Storage Container).

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param job_name: The name of the job within the specified resource group. Job names can only
         contain a combination of alphanumeric characters along with dash (-) and underscore (_). The
         name must be from 1 through 64 characters long.
        :type job_name: str
        :param jobs_list_output_files_options: Parameter group.
        :type jobs_list_output_files_options: ~batch_ai.models.JobsListOutputFilesOptions
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: An iterator like instance of either FileListResult or the result of cls(response)
        :rtype: ~azure.core.paging.ItemPaged[~batch_ai.models.FileListResult]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.FileListResult"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        
        _outputdirectoryid = None
        _directory = None
        _linkexpiryinminutes = None
        _max_results = None
        if jobs_list_output_files_options is not None:
            _outputdirectoryid = jobs_list_output_files_options.outputdirectoryid
            _directory = jobs_list_output_files_options.directory
            _linkexpiryinminutes = jobs_list_output_files_options.linkexpiryinminutes
            _max_results = jobs_list_output_files_options.max_results
        api_version = "2018-05-01"
        accept = "application/json"

        def prepare_request(next_link=None):
            # Construct headers
            header_parameters = {}  # type: Dict[str, Any]
            header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

            if not next_link:
                # Construct URL
                url = self.list_output_files.metadata['url']  # type: ignore
                path_format_arguments = {
                    'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
                    'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
                }
                url = self._client.format_url(url, **path_format_arguments)
                # Construct parameters
                query_parameters = {}  # type: Dict[str, Any]
                query_parameters['outputdirectoryid'] = self._serialize.query("outputdirectoryid", _outputdirectoryid, 'str')
                if _directory is not None:
                    query_parameters['directory'] = self._serialize.query("directory", _directory, 'str')
                if _linkexpiryinminutes is not None:
                    query_parameters['linkexpiryinminutes'] = self._serialize.query("linkexpiryinminutes", _linkexpiryinminutes, 'int', maximum=600, minimum=5)
                if _max_results is not None:
                    query_parameters['maxresults'] = self._serialize.query("max_results", _max_results, 'int', maximum=1000, minimum=1)
                query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

                request = self._client.post(url, query_parameters, header_parameters)
            else:
                url = next_link
                query_parameters = {}  # type: Dict[str, Any]
                request = self._client.get(url, query_parameters, header_parameters)
            return request

        def extract_data(pipeline_response):
            deserialized = self._deserialize('FileListResult', pipeline_response)
            list_of_elem = deserialized.value
            if cls:
                list_of_elem = cls(list_of_elem)
            return deserialized.next_link or None, iter(list_of_elem)

        def get_next(next_link=None):
            request = prepare_request(next_link)

            pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response, error_format=ARMErrorFormat)

            return pipeline_response

        return ItemPaged(
            get_next, extract_data
        )
    list_output_files.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}/listOutputFiles'}  # type: ignore

    def list_remote_login_information(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> Iterable["_models.RemoteLoginInformationListResult"]
        """Gets a list of currently existing nodes which were used for the Job execution. The returned
        information contains the node ID, its public IP and SSH port.

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param job_name: The name of the job within the specified resource group. Job names can only
         contain a combination of alphanumeric characters along with dash (-) and underscore (_). The
         name must be from 1 through 64 characters long.
        :type job_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :return: An iterator like instance of either RemoteLoginInformationListResult or the result of cls(response)
        :rtype: ~azure.core.paging.ItemPaged[~batch_ai.models.RemoteLoginInformationListResult]
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        cls = kwargs.pop('cls', None)  # type: ClsType["_models.RemoteLoginInformationListResult"]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2018-05-01"
        accept = "application/json"

        def prepare_request(next_link=None):
            # Construct headers
            header_parameters = {}  # type: Dict[str, Any]
            header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

            if not next_link:
                # Construct URL
                url = self.list_remote_login_information.metadata['url']  # type: ignore
                path_format_arguments = {
                    'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
                    'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
                    'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
                }
                url = self._client.format_url(url, **path_format_arguments)
                # Construct parameters
                query_parameters = {}  # type: Dict[str, Any]
                query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

                request = self._client.post(url, query_parameters, header_parameters)
            else:
                url = next_link
                query_parameters = {}  # type: Dict[str, Any]
                request = self._client.get(url, query_parameters, header_parameters)
            return request

        def extract_data(pipeline_response):
            deserialized = self._deserialize('RemoteLoginInformationListResult', pipeline_response)
            list_of_elem = deserialized.value
            if cls:
                list_of_elem = cls(list_of_elem)
            return deserialized.next_link or None, iter(list_of_elem)

        def get_next(next_link=None):
            request = prepare_request(next_link)

            pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
            response = pipeline_response.http_response

            if response.status_code not in [200]:
                map_error(status_code=response.status_code, response=response, error_map=error_map)
                raise HttpResponseError(response=response, error_format=ARMErrorFormat)

            return pipeline_response

        return ItemPaged(
            get_next, extract_data
        )
    list_remote_login_information.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}/listRemoteLoginInformation'}  # type: ignore

    def _terminate_initial(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> None
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}))
        api_version = "2018-05-01"
        accept = "application/json"

        # Construct URL
        url = self._terminate_initial.metadata['url']  # type: ignore
        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }
        url = self._client.format_url(url, **path_format_arguments)

        # Construct parameters
        query_parameters = {}  # type: Dict[str, Any]
        query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str')

        # Construct headers
        header_parameters = {}  # type: Dict[str, Any]
        header_parameters['Accept'] = self._serialize.header("accept", accept, 'str')

        request = self._client.post(url, query_parameters, header_parameters)
        pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            raise HttpResponseError(response=response, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})

    _terminate_initial.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}/terminate'}  # type: ignore

    def begin_terminate(
        self,
        resource_group_name,  # type: str
        workspace_name,  # type: str
        experiment_name,  # type: str
        job_name,  # type: str
        **kwargs  # type: Any
    ):
        # type: (...) -> LROPoller[None]
        """Terminates a job.

        :param resource_group_name: Name of the resource group to which the resource belongs.
        :type resource_group_name: str
        :param workspace_name: The name of the workspace. Workspace names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type workspace_name: str
        :param experiment_name: The name of the experiment. Experiment names can only contain a
         combination of alphanumeric characters along with dash (-) and underscore (_). The name must be
         from 1 through 64 characters long.
        :type experiment_name: str
        :param job_name: The name of the job within the specified resource group. Job names can only
         contain a combination of alphanumeric characters along with dash (-) and underscore (_). The
         name must be from 1 through 64 characters long.
        :type job_name: str
        :keyword callable cls: A custom type or function that will be passed the direct response
        :keyword str continuation_token: A continuation token to restart a poller from a saved state.
        :keyword polling: By default, your polling method will be ARMPolling.
         Pass in False for this operation to not poll, or pass in your own initialized polling object for a personal polling strategy.
        :paramtype polling: bool or ~azure.core.polling.PollingMethod
        :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
        :return: An instance of LROPoller that returns either None or the result of cls(response)
        :rtype: ~azure.core.polling.LROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        polling = kwargs.pop('polling', True)  # type: Union[bool, PollingMethod]
        cls = kwargs.pop('cls', None)  # type: ClsType[None]
        lro_delay = kwargs.pop(
            'polling_interval',
            self._config.polling_interval
        )
        cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
        if cont_token is None:
            raw_result = self._terminate_initial(
                resource_group_name=resource_group_name,
                workspace_name=workspace_name,
                experiment_name=experiment_name,
                job_name=job_name,
                cls=lambda x,y,z: x,
                **kwargs
            )

        kwargs.pop('error_map', None)
        kwargs.pop('content_type', None)

        def get_long_running_output(pipeline_response):
            if cls:
                return cls(pipeline_response, None, {})

        path_format_arguments = {
            'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', pattern=r'^[-\w\._]+$'),
            'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'experimentName': self._serialize.url("experiment_name", experiment_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'jobName': self._serialize.url("job_name", job_name, 'str', max_length=64, min_length=1, pattern=r'^[-\w_]+$'),
            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
        }

        if polling is True: polling_method = ARMPolling(lro_delay, path_format_arguments=path_format_arguments,  **kwargs)
        elif polling is False: polling_method = NoPolling()
        else: polling_method = polling
        if cont_token:
            return LROPoller.from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output
            )
        else:
            return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
    begin_terminate.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.BatchAI/workspaces/{workspaceName}/experiments/{experimentName}/jobs/{jobName}/terminate'}  # type: ignore
