# pylint: disable=line-too-long,useless-suppression,too-many-lines
# 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) Python Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------
from collections.abc import MutableMapping
from io import IOBase
import json
from typing import Any, AsyncIterator, Callable, IO, Optional, TypeVar, Union, cast, overload
import urllib.parse

from azure.core import AsyncPipelineClient
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import (
    ClientAuthenticationError,
    HttpResponseError,
    ResourceExistsError,
    ResourceNotFoundError,
    ResourceNotModifiedError,
    StreamClosedError,
    StreamConsumedError,
    map_error,
)
from azure.core.pipeline import PipelineResponse
from azure.core.polling import AsyncLROPoller, AsyncNoPolling, AsyncPollingMethod
from azure.core.rest import AsyncHttpResponse, HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.tracing.decorator_async import distributed_trace_async
from azure.core.utils import case_insensitive_dict
from azure.mgmt.core.exceptions import ARMErrorFormat
from azure.mgmt.core.polling.async_arm_polling import AsyncARMPolling

from ... import models as _models
from ..._utils.model_base import SdkJSONEncoder, _deserialize, _failsafe_deserialize
from ..._utils.serialization import Deserializer, Serializer
from ..._utils.utils import ClientMixinABC
from ..._validation import api_version_validation
from ...operations._operations import (
    build_account_capability_hosts_create_or_update_request,
    build_account_capability_hosts_delete_request,
    build_account_capability_hosts_get_request,
    build_account_capability_hosts_list_request,
    build_account_connections_create_request,
    build_account_connections_delete_request,
    build_account_connections_get_request,
    build_account_connections_list_request,
    build_account_connections_update_request,
    build_accounts_create_request,
    build_accounts_delete_request,
    build_accounts_evaluate_deployment_policies_request,
    build_accounts_get_request,
    build_accounts_list_by_resource_group_request,
    build_accounts_list_keys_request,
    build_accounts_list_models_request,
    build_accounts_list_request,
    build_accounts_list_skus_request,
    build_accounts_list_usages_request,
    build_accounts_regenerate_key_request,
    build_accounts_update_request,
    build_agent_applications_create_or_update_request,
    build_agent_applications_delete_request,
    build_agent_applications_disable_request,
    build_agent_applications_enable_request,
    build_agent_applications_get_request,
    build_agent_applications_list_agents_request,
    build_agent_applications_list_request,
    build_agent_deployments_create_or_update_request,
    build_agent_deployments_delete_request,
    build_agent_deployments_get_request,
    build_agent_deployments_list_request,
    build_agent_deployments_start_request,
    build_agent_deployments_stop_request,
    build_cognitive_services_management_calculate_model_capacity_request,
    build_cognitive_services_management_check_domain_availability_request,
    build_cognitive_services_management_check_sku_availability_request,
    build_commitment_plans_create_or_update_association_request,
    build_commitment_plans_create_or_update_plan_request,
    build_commitment_plans_create_or_update_request,
    build_commitment_plans_delete_association_request,
    build_commitment_plans_delete_plan_request,
    build_commitment_plans_delete_request,
    build_commitment_plans_get_association_request,
    build_commitment_plans_get_plan_request,
    build_commitment_plans_get_request,
    build_commitment_plans_list_associations_request,
    build_commitment_plans_list_plans_by_resource_group_request,
    build_commitment_plans_list_plans_by_subscription_request,
    build_commitment_plans_list_request,
    build_commitment_plans_update_plan_request,
    build_commitment_tiers_list_request,
    build_compute_operations_get_request,
    build_computes_create_or_update_request,
    build_computes_delete_request,
    build_computes_get_request,
    build_computes_list_request,
    build_computes_restart_request,
    build_computes_start_request,
    build_computes_stop_request,
    build_computes_update_request,
    build_defender_for_ai_settings_create_or_update_request,
    build_defender_for_ai_settings_get_request,
    build_defender_for_ai_settings_list_request,
    build_defender_for_ai_settings_update_request,
    build_deleted_accounts_get_request,
    build_deleted_accounts_list_request,
    build_deleted_accounts_purge_request,
    build_deployments_create_or_update_request,
    build_deployments_delete_request,
    build_deployments_get_request,
    build_deployments_list_request,
    build_deployments_list_skus_request,
    build_deployments_pause_request,
    build_deployments_resume_request,
    build_deployments_update_request,
    build_encryption_scopes_create_or_update_request,
    build_encryption_scopes_delete_request,
    build_encryption_scopes_get_request,
    build_encryption_scopes_list_request,
    build_location_based_model_capacities_list_request,
    build_managed_compute_capacities_list_request,
    build_managed_compute_deployments_create_or_update_request,
    build_managed_compute_deployments_delete_request,
    build_managed_compute_deployments_get_request,
    build_managed_compute_deployments_list_request,
    build_managed_compute_deployments_update_request,
    build_managed_compute_usages_operation_group_list_request,
    build_managed_network_provisions_provision_managed_network_request,
    build_managed_network_settings_delete_request,
    build_managed_network_settings_get_request,
    build_managed_network_settings_list_request,
    build_managed_network_settings_patch_request,
    build_managed_network_settings_put_request,
    build_model_capacities_list_request,
    build_models_list_request,
    build_network_security_perimeter_configurations_get_request,
    build_network_security_perimeter_configurations_list_request,
    build_network_security_perimeter_configurations_reconcile_request,
    build_operations_list_request,
    build_outbound_rule_create_or_update_request,
    build_outbound_rule_delete_request,
    build_outbound_rule_get_request,
    build_outbound_rule_list_request,
    build_outbound_rules_post_request,
    build_private_endpoint_connections_create_or_update_request,
    build_private_endpoint_connections_delete_request,
    build_private_endpoint_connections_get_request,
    build_private_endpoint_connections_list_request,
    build_private_link_resources_list_request,
    build_project_capability_hosts_create_or_update_request,
    build_project_capability_hosts_delete_request,
    build_project_capability_hosts_get_request,
    build_project_capability_hosts_list_request,
    build_project_connections_create_request,
    build_project_connections_delete_request,
    build_project_connections_get_request,
    build_project_connections_list_request,
    build_project_connections_update_request,
    build_projects_create_request,
    build_projects_delete_request,
    build_projects_get_request,
    build_projects_list_request,
    build_projects_update_request,
    build_quota_tiers_create_or_update_request,
    build_quota_tiers_get_request,
    build_quota_tiers_list_by_subscription_request,
    build_quota_tiers_update_request,
    build_rai_blocklist_items_batch_add_request,
    build_rai_blocklist_items_batch_delete_request,
    build_rai_blocklist_items_create_or_update_request,
    build_rai_blocklist_items_delete_request,
    build_rai_blocklist_items_get_request,
    build_rai_blocklist_items_list_request,
    build_rai_blocklists_create_or_update_request,
    build_rai_blocklists_delete_request,
    build_rai_blocklists_get_request,
    build_rai_blocklists_list_request,
    build_rai_content_filters_get_request,
    build_rai_content_filters_list_request,
    build_rai_external_safety_provider_create_or_update_request,
    build_rai_external_safety_provider_delete_request,
    build_rai_external_safety_provider_get_request,
    build_rai_external_safety_providers_list_request,
    build_rai_policies_create_or_update_request,
    build_rai_policies_delete_request,
    build_rai_policies_get_request,
    build_rai_policies_list_request,
    build_rai_tool_labels_create_or_update_request,
    build_rai_tool_labels_delete_request,
    build_rai_tool_labels_get_request,
    build_rai_tool_labels_list_request,
    build_rai_topics_create_or_update_request,
    build_rai_topics_delete_request,
    build_rai_topics_get_request,
    build_rai_topics_list_request,
    build_resource_skus_list_request,
    build_subscription_rai_policy_create_or_update_request,
    build_subscription_rai_policy_delete_request,
    build_subscription_rai_policy_get_request,
    build_test_rai_external_safety_provider_create_or_update_request,
    build_usages_list_request,
    build_workbenches_create_or_update_request,
    build_workbenches_delete_request,
    build_workbenches_get_request,
    build_workbenches_list_request,
    build_workbenches_restart_request,
    build_workbenches_start_request,
    build_workbenches_stop_request,
    build_workbenches_update_request,
)
from .._configuration import CognitiveServicesManagementClientConfiguration

T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, dict[str, Any]], Any]]
JSON = MutableMapping[str, Any]
List = list


class Operations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`operations` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, **kwargs: Any) -> AsyncItemPaged["_models.Operation"]:
        """Lists all the available Cognitive Services account operations.

        :return: An iterator like instance of Operation
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Operation]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Operation]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_operations_list_request(
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Operation],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class AccountsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`accounts` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(self, resource_group_name: str, account_name: str, **kwargs: Any) -> _models.Account:
        """Returns a Cognitive Services account specified by the parameters.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: Account. The Account is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Account
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Account] = kwargs.pop("cls", None)

        _request = build_accounts_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Account, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_initial(
        self,
        resource_group_name: str,
        account_name: str,
        account: Union[_models.Account, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(account, (IOBase, bytes)):
            _content = account
        else:
            _content = json.dumps(account, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_accounts_create_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        account: _models.Account,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Create Cognitive Services Account. Accounts is a resource group wide resource type. It holds
        the keys for developer to access intelligent APIs. It's also the resource type for billing.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Required.
        :type account: ~azure.mgmt.cognitiveservices.models.Account
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        account: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Create Cognitive Services Account. Accounts is a resource group wide resource type. It holds
        the keys for developer to access intelligent APIs. It's also the resource type for billing.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Required.
        :type account: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        account: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Create Cognitive Services Account. Accounts is a resource group wide resource type. It holds
        the keys for developer to access intelligent APIs. It's also the resource type for billing.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Required.
        :type account: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        account: Union[_models.Account, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Create Cognitive Services Account. Accounts is a resource group wide resource type. It holds
        the keys for developer to access intelligent APIs. It's also the resource type for billing.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Is one of the following
         types: Account, JSON, IO[bytes] Required.
        :type account: ~azure.mgmt.cognitiveservices.models.Account or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Account] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                account=account,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Account, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Account].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Account](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        account: Union[_models.Account, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(account, (IOBase, bytes)):
            _content = account
        else:
            _content = json.dumps(account, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_accounts_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        account: _models.Account,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Updates a Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Required.
        :type account: ~azure.mgmt.cognitiveservices.models.Account
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        account: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Updates a Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Required.
        :type account: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        account: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Updates a Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Required.
        :type account: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        account: Union[_models.Account, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Account]:
        """Updates a Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param account: The parameters to provide for the created account. Is one of the following
         types: Account, JSON, IO[bytes] Required.
        :type account: ~azure.mgmt.cognitiveservices.models.Account or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Account. The Account is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Account] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                account=account,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Account, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Account].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Account](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_accounts_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncLROPoller[None]:
        """Deletes a Cognitive Services account from the resource group.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list_by_resource_group(self, resource_group_name: str, **kwargs: Any) -> AsyncItemPaged["_models.Account"]:
        """Returns all the resources of a particular type belonging to a resource group.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :return: An iterator like instance of Account
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Account]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_accounts_list_by_resource_group_request(
                    resource_group_name=resource_group_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Account],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace
    def list(self, **kwargs: Any) -> AsyncItemPaged["_models.Account"]:
        """Returns all the resources of a particular type belonging to a subscription.

        :return: An iterator like instance of Account
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Account]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_accounts_list_request(
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Account],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def list_keys(self, resource_group_name: str, account_name: str, **kwargs: Any) -> _models.ApiKeys:
        """Lists the account keys for the specified Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: ApiKeys. The ApiKeys is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ApiKeys
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ApiKeys] = kwargs.pop("cls", None)

        _request = build_accounts_list_keys_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ApiKeys, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def regenerate_key(
        self,
        resource_group_name: str,
        account_name: str,
        parameters: _models.RegenerateKeyParameters,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ApiKeys:
        """Regenerates the specified account key for the specified Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param parameters: regenerate key parameters. Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.RegenerateKeyParameters
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ApiKeys. The ApiKeys is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ApiKeys
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def regenerate_key(
        self,
        resource_group_name: str,
        account_name: str,
        parameters: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ApiKeys:
        """Regenerates the specified account key for the specified Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param parameters: regenerate key parameters. Required.
        :type parameters: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ApiKeys. The ApiKeys is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ApiKeys
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def regenerate_key(
        self,
        resource_group_name: str,
        account_name: str,
        parameters: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ApiKeys:
        """Regenerates the specified account key for the specified Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param parameters: regenerate key parameters. Required.
        :type parameters: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ApiKeys. The ApiKeys is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ApiKeys
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def regenerate_key(
        self,
        resource_group_name: str,
        account_name: str,
        parameters: Union[_models.RegenerateKeyParameters, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.ApiKeys:
        """Regenerates the specified account key for the specified Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param parameters: regenerate key parameters. Is one of the following types:
         RegenerateKeyParameters, JSON, IO[bytes] Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.RegenerateKeyParameters or JSON or
         IO[bytes]
        :return: ApiKeys. The ApiKeys is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ApiKeys
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.ApiKeys] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(parameters, (IOBase, bytes)):
            _content = parameters
        else:
            _content = json.dumps(parameters, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_accounts_regenerate_key_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ApiKeys, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def list_skus(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> _models.AccountSkuListResult:
        """List available SKUs for the requested Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: AccountSkuListResult. The AccountSkuListResult is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.AccountSkuListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.AccountSkuListResult] = kwargs.pop("cls", None)

        _request = build_accounts_list_skus_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.AccountSkuListResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def list_usages(
        self, resource_group_name: str, account_name: str, *, filter: Optional[str] = None, **kwargs: Any
    ) -> _models.UsageListResult:
        """Get usages for the requested Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :keyword filter: An OData filter expression that describes a subset of usages to return. The
         supported parameter is name.value (name of the metric, can have an or of multiple names).
         Default value is None.
        :paramtype filter: str
        :return: UsageListResult. The UsageListResult is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.UsageListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.UsageListResult] = kwargs.pop("cls", None)

        _request = build_accounts_list_usages_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            filter=filter,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.UsageListResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace
    def list_models(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.AccountModel"]:
        """List available Models for the requested Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of AccountModel
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.AccountModel]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.AccountModel]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_accounts_list_models_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.AccountModel],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @overload
    async def evaluate_deployment_policies(
        self,
        resource_group_name: str,
        account_name: str,
        body: _models.EvaluateDeploymentPoliciesRequest,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.EvaluateDeploymentPoliciesResponse:
        """Evaluate Azure Policy compliance for a set of hypothetical deployments without creating them.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param body: The content of the action request. Required.
        :type body: ~azure.mgmt.cognitiveservices.models.EvaluateDeploymentPoliciesRequest
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: EvaluateDeploymentPoliciesResponse. The EvaluateDeploymentPoliciesResponse is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EvaluateDeploymentPoliciesResponse
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def evaluate_deployment_policies(
        self,
        resource_group_name: str,
        account_name: str,
        body: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.EvaluateDeploymentPoliciesResponse:
        """Evaluate Azure Policy compliance for a set of hypothetical deployments without creating them.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param body: The content of the action request. Required.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: EvaluateDeploymentPoliciesResponse. The EvaluateDeploymentPoliciesResponse is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EvaluateDeploymentPoliciesResponse
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def evaluate_deployment_policies(
        self,
        resource_group_name: str,
        account_name: str,
        body: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.EvaluateDeploymentPoliciesResponse:
        """Evaluate Azure Policy compliance for a set of hypothetical deployments without creating them.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param body: The content of the action request. Required.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: EvaluateDeploymentPoliciesResponse. The EvaluateDeploymentPoliciesResponse is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EvaluateDeploymentPoliciesResponse
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def evaluate_deployment_policies(
        self,
        resource_group_name: str,
        account_name: str,
        body: Union[_models.EvaluateDeploymentPoliciesRequest, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.EvaluateDeploymentPoliciesResponse:
        """Evaluate Azure Policy compliance for a set of hypothetical deployments without creating them.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param body: The content of the action request. Is one of the following types:
         EvaluateDeploymentPoliciesRequest, JSON, IO[bytes] Required.
        :type body: ~azure.mgmt.cognitiveservices.models.EvaluateDeploymentPoliciesRequest or JSON or
         IO[bytes]
        :return: EvaluateDeploymentPoliciesResponse. The EvaluateDeploymentPoliciesResponse is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EvaluateDeploymentPoliciesResponse
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.EvaluateDeploymentPoliciesResponse] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_accounts_evaluate_deployment_policies_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.EvaluateDeploymentPoliciesResponse, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore


class DeletedAccountsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`deleted_accounts` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, **kwargs: Any) -> AsyncItemPaged["_models.Account"]:
        """Returns all the resources of a particular type belonging to a subscription.

        :return: An iterator like instance of Account
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Account]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Account]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_deleted_accounts_list_request(
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Account],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def get(self, location: str, resource_group_name: str, account_name: str, **kwargs: Any) -> _models.Account:
        """Returns a Cognitive Services account specified by the parameters.

        :param location: The location name. Required.
        :type location: str
        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: Account. The Account is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Account
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Account] = kwargs.pop("cls", None)

        _request = build_deleted_accounts_get_request(
            location=location,
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Account, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _purge_initial(
        self, location: str, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_deleted_accounts_purge_request(
            location=location,
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_purge(
        self, location: str, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes a Cognitive Services account from the resource group.

        :param location: The location name. Required.
        :type location: str
        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._purge_initial(
                location=location,
                resource_group_name=resource_group_name,
                account_name=account_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore


class PrivateEndpointConnectionsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`private_endpoint_connections` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, private_endpoint_connection_name: str, **kwargs: Any
    ) -> _models.PrivateEndpointConnection:
        """Gets the specified private endpoint connection associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param private_endpoint_connection_name: The name of the private endpoint connection associated
         with the Cognitive Services Account. Required.
        :type private_endpoint_connection_name: str
        :return: PrivateEndpointConnection. The PrivateEndpointConnection is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.PrivateEndpointConnection] = kwargs.pop("cls", None)

        _request = build_private_endpoint_connections_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            private_endpoint_connection_name=private_endpoint_connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.PrivateEndpointConnection, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        private_endpoint_connection_name: str,
        properties: Union[_models.PrivateEndpointConnection, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(properties, (IOBase, bytes)):
            _content = properties
        else:
            _content = json.dumps(properties, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_private_endpoint_connections_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            private_endpoint_connection_name=private_endpoint_connection_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        private_endpoint_connection_name: str,
        properties: _models.PrivateEndpointConnection,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.PrivateEndpointConnection]:
        """Update the state of specified private endpoint connection associated with the Cognitive
        Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param private_endpoint_connection_name: The name of the private endpoint connection associated
         with the Cognitive Services Account. Required.
        :type private_endpoint_connection_name: str
        :param properties: The private endpoint connection properties. Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns PrivateEndpointConnection. The
         PrivateEndpointConnection is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        private_endpoint_connection_name: str,
        properties: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.PrivateEndpointConnection]:
        """Update the state of specified private endpoint connection associated with the Cognitive
        Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param private_endpoint_connection_name: The name of the private endpoint connection associated
         with the Cognitive Services Account. Required.
        :type private_endpoint_connection_name: str
        :param properties: The private endpoint connection properties. Required.
        :type properties: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns PrivateEndpointConnection. The
         PrivateEndpointConnection is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        private_endpoint_connection_name: str,
        properties: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.PrivateEndpointConnection]:
        """Update the state of specified private endpoint connection associated with the Cognitive
        Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param private_endpoint_connection_name: The name of the private endpoint connection associated
         with the Cognitive Services Account. Required.
        :type private_endpoint_connection_name: str
        :param properties: The private endpoint connection properties. Required.
        :type properties: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns PrivateEndpointConnection. The
         PrivateEndpointConnection is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        private_endpoint_connection_name: str,
        properties: Union[_models.PrivateEndpointConnection, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.PrivateEndpointConnection]:
        """Update the state of specified private endpoint connection associated with the Cognitive
        Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param private_endpoint_connection_name: The name of the private endpoint connection associated
         with the Cognitive Services Account. Required.
        :type private_endpoint_connection_name: str
        :param properties: The private endpoint connection properties. Is one of the following types:
         PrivateEndpointConnection, JSON, IO[bytes] Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection or JSON or
         IO[bytes]
        :return: An instance of AsyncLROPoller that returns PrivateEndpointConnection. The
         PrivateEndpointConnection is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.PrivateEndpointConnection]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.PrivateEndpointConnection] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                private_endpoint_connection_name=private_endpoint_connection_name,
                properties=properties,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.PrivateEndpointConnection, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.PrivateEndpointConnection].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.PrivateEndpointConnection](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, private_endpoint_connection_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_private_endpoint_connections_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            private_endpoint_connection_name=private_endpoint_connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, private_endpoint_connection_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified private endpoint connection associated with the Cognitive Services
        account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param private_endpoint_connection_name: The name of the private endpoint connection associated
         with the Cognitive Services Account. Required.
        :type private_endpoint_connection_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                private_endpoint_connection_name=private_endpoint_connection_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace_async
    async def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> _models.PrivateEndpointConnectionListResult:
        """Gets the private endpoint connections associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: PrivateEndpointConnectionListResult. The PrivateEndpointConnectionListResult is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.PrivateEndpointConnectionListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.PrivateEndpointConnectionListResult] = kwargs.pop("cls", None)

        _request = build_private_endpoint_connections_list_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.PrivateEndpointConnectionListResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore


class DeploymentsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`deployments` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> _models.Deployment:
        """Gets the specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: Deployment. The Deployment is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Deployment
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Deployment] = kwargs.pop("cls", None)

        _request = build_deployments_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Deployment, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: Union[_models.Deployment, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(deployment, (IOBase, bytes)):
            _content = deployment
        else:
            _content = json.dumps(deployment, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_deployments_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: _models.Deployment,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update the state of specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Required.
        :type deployment: ~azure.mgmt.cognitiveservices.models.Deployment
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update the state of specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Required.
        :type deployment: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update the state of specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Required.
        :type deployment: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: Union[_models.Deployment, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update the state of specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Is one of the following types: Deployment, JSON,
         IO[bytes] Required.
        :type deployment: ~azure.mgmt.cognitiveservices.models.Deployment or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Deployment] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                deployment_name=deployment_name,
                deployment=deployment,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Deployment, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Deployment].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Deployment](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: Union[_models.PatchResourceTagsAndSku, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(deployment, (IOBase, bytes)):
            _content = deployment
        else:
            _content = json.dumps(deployment, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_deployments_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: _models.PatchResourceTagsAndSku,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Required.
        :type deployment: ~azure.mgmt.cognitiveservices.models.PatchResourceTagsAndSku
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Required.
        :type deployment: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Required.
        :type deployment: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        deployment: Union[_models.PatchResourceTagsAndSku, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Deployment]:
        """Update specified deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param deployment: The deployment properties. Is one of the following types:
         PatchResourceTagsAndSku, JSON, IO[bytes] Required.
        :type deployment: ~azure.mgmt.cognitiveservices.models.PatchResourceTagsAndSku or JSON or
         IO[bytes]
        :return: An instance of AsyncLROPoller that returns Deployment. The Deployment is compatible
         with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Deployment] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                deployment_name=deployment_name,
                deployment=deployment,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Deployment, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Deployment].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Deployment](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_deployments_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified deployment associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                deployment_name=deployment_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncItemPaged["_models.Deployment"]:
        """Gets the deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of Deployment
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Deployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Deployment]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_deployments_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Deployment],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace
    def list_skus(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.SkuResource"]:
        """Lists the specified deployments skus associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: An iterator like instance of SkuResource
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.SkuResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.SkuResource]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_deployments_list_skus_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    deployment_name=deployment_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.SkuResource],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def pause(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> _models.Deployment:
        """Pause a deployment.

        Pauses inferencing on a deployment by setting the deploymentState to 'Paused' (see
        #/definitions/DeploymentProperties/properties/deploymentState). Only Standard,
        DataZoneStandard, and GlobalStandard SKUs support this operation. Inference requests to the
        paused deployment endpoint will receive HTTP 423 (Locked). This operation is idempotent.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: Deployment. The Deployment is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Deployment
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Deployment] = kwargs.pop("cls", None)

        _request = build_deployments_pause_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Deployment, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def resume(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> _models.Deployment:
        """Resume a deployment.

        Resumes inferencing on a previously paused deployment by setting the deploymentState to
        'Running' (see #/definitions/DeploymentProperties/properties/deploymentState). This operation
        is idempotent and can be safely called on already running deployments.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: Deployment. The Deployment is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Deployment
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Deployment] = kwargs.pop("cls", None)

        _request = build_deployments_resume_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Deployment, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore


class CommitmentPlansOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`commitment_plans` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> _models.CommitmentPlan:
        """Gets the specified commitmentPlans associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :return: CommitmentPlan. The CommitmentPlan is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.CommitmentPlan] = kwargs.pop("cls", None)

        _request = build_commitment_plans_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.CommitmentPlan, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        commitment_plan_name: str,
        commitment_plan: _models.CommitmentPlan,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.CommitmentPlan:
        """Update the state of specified commitmentPlans associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The commitmentPlan properties. Required.
        :type commitment_plan: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: CommitmentPlan. The CommitmentPlan is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        commitment_plan_name: str,
        commitment_plan: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.CommitmentPlan:
        """Update the state of specified commitmentPlans associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The commitmentPlan properties. Required.
        :type commitment_plan: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: CommitmentPlan. The CommitmentPlan is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        commitment_plan_name: str,
        commitment_plan: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.CommitmentPlan:
        """Update the state of specified commitmentPlans associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The commitmentPlan properties. Required.
        :type commitment_plan: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: CommitmentPlan. The CommitmentPlan is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        commitment_plan_name: str,
        commitment_plan: Union[_models.CommitmentPlan, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.CommitmentPlan:
        """Update the state of specified commitmentPlans associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The commitmentPlan properties. Is one of the following types:
         CommitmentPlan, JSON, IO[bytes] Required.
        :type commitment_plan: ~azure.mgmt.cognitiveservices.models.CommitmentPlan or JSON or IO[bytes]
        :return: CommitmentPlan. The CommitmentPlan is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.CommitmentPlan] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(commitment_plan, (IOBase, bytes)):
            _content = commitment_plan
        else:
            _content = json.dumps(commitment_plan, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_commitment_plans_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.CommitmentPlan, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_commitment_plans_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified commitmentPlan associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                commitment_plan_name=commitment_plan_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.CommitmentPlan"]:
        """Gets the commitmentPlans associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of CommitmentPlan
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.CommitmentPlan]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_commitment_plans_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.CommitmentPlan],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def get_plan(
        self, resource_group_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> _models.CommitmentPlan:
        """Returns a Cognitive Services commitment plan specified by the parameters.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :return: CommitmentPlan. The CommitmentPlan is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.CommitmentPlan] = kwargs.pop("cls", None)

        _request = build_commitment_plans_get_plan_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.CommitmentPlan, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_plan_initial(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: Union[_models.CommitmentPlan, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(commitment_plan, (IOBase, bytes)):
            _content = commitment_plan
        else:
            _content = json.dumps(commitment_plan, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_commitment_plans_create_or_update_plan_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: _models.CommitmentPlan,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Required.
        :type commitment_plan: ~azure.mgmt.cognitiveservices.models.CommitmentPlan
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Required.
        :type commitment_plan: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Required.
        :type commitment_plan: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: Union[_models.CommitmentPlan, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Is one of
         the following types: CommitmentPlan, JSON, IO[bytes] Required.
        :type commitment_plan: ~azure.mgmt.cognitiveservices.models.CommitmentPlan or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.CommitmentPlan] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_plan_initial(
                resource_group_name=resource_group_name,
                commitment_plan_name=commitment_plan_name,
                commitment_plan=commitment_plan,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.CommitmentPlan, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.CommitmentPlan].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.CommitmentPlan](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _update_plan_initial(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: Union[_models.PatchResourceTagsAndSku, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(commitment_plan, (IOBase, bytes)):
            _content = commitment_plan
        else:
            _content = json.dumps(commitment_plan, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_commitment_plans_update_plan_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: _models.PatchResourceTagsAndSku,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Required.
        :type commitment_plan: ~azure.mgmt.cognitiveservices.models.PatchResourceTagsAndSku
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Required.
        :type commitment_plan: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Required.
        :type commitment_plan: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_update_plan(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan: Union[_models.PatchResourceTagsAndSku, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlan]:
        """Create Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan: The parameters to provide for the created commitment plan. Is one of
         the following types: PatchResourceTagsAndSku, JSON, IO[bytes] Required.
        :type commitment_plan: ~azure.mgmt.cognitiveservices.models.PatchResourceTagsAndSku or JSON or
         IO[bytes]
        :return: An instance of AsyncLROPoller that returns CommitmentPlan. The CommitmentPlan is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.CommitmentPlan] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_plan_initial(
                resource_group_name=resource_group_name,
                commitment_plan_name=commitment_plan_name,
                commitment_plan=commitment_plan,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.CommitmentPlan, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.CommitmentPlan].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.CommitmentPlan](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_plan_initial(
        self, resource_group_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_commitment_plans_delete_plan_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete_plan(
        self, resource_group_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes a Cognitive Services commitment plan from the resource group.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_plan_initial(
                resource_group_name=resource_group_name,
                commitment_plan_name=commitment_plan_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list_plans_by_resource_group(
        self, resource_group_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.CommitmentPlan"]:
        """Returns all the resources of a particular type belonging to a resource group.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :return: An iterator like instance of CommitmentPlan
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.CommitmentPlan]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_commitment_plans_list_plans_by_resource_group_request(
                    resource_group_name=resource_group_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.CommitmentPlan],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace
    def list_plans_by_subscription(self, **kwargs: Any) -> AsyncItemPaged["_models.CommitmentPlan"]:
        """Returns all the resources of a particular type belonging to a subscription.

        :return: An iterator like instance of CommitmentPlan
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.CommitmentPlan]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.CommitmentPlan]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_commitment_plans_list_plans_by_subscription_request(
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.CommitmentPlan],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def get_association(
        self, resource_group_name: str, commitment_plan_name: str, commitment_plan_association_name: str, **kwargs: Any
    ) -> _models.CommitmentPlanAccountAssociation:
        """Gets the association of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan_association_name: The name of the commitment plan association with the
         Cognitive Services Account. Required.
        :type commitment_plan_association_name: str
        :return: CommitmentPlanAccountAssociation. The CommitmentPlanAccountAssociation is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.CommitmentPlanAccountAssociation] = kwargs.pop("cls", None)

        _request = build_commitment_plans_get_association_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            commitment_plan_association_name=commitment_plan_association_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.CommitmentPlanAccountAssociation, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_association_initial(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan_association_name: str,
        association: Union[_models.CommitmentPlanAccountAssociation, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(association, (IOBase, bytes)):
            _content = association
        else:
            _content = json.dumps(association, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_commitment_plans_create_or_update_association_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            commitment_plan_association_name=commitment_plan_association_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update_association(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan_association_name: str,
        association: _models.CommitmentPlanAccountAssociation,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlanAccountAssociation]:
        """Create or update the association of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan_association_name: The name of the commitment plan association with the
         Cognitive Services Account. Required.
        :type commitment_plan_association_name: str
        :param association: The commitmentPlan properties. Required.
        :type association: ~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlanAccountAssociation. The
         CommitmentPlanAccountAssociation is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update_association(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan_association_name: str,
        association: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlanAccountAssociation]:
        """Create or update the association of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan_association_name: The name of the commitment plan association with the
         Cognitive Services Account. Required.
        :type commitment_plan_association_name: str
        :param association: The commitmentPlan properties. Required.
        :type association: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlanAccountAssociation. The
         CommitmentPlanAccountAssociation is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update_association(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan_association_name: str,
        association: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlanAccountAssociation]:
        """Create or update the association of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan_association_name: The name of the commitment plan association with the
         Cognitive Services Account. Required.
        :type commitment_plan_association_name: str
        :param association: The commitmentPlan properties. Required.
        :type association: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CommitmentPlanAccountAssociation. The
         CommitmentPlanAccountAssociation is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update_association(
        self,
        resource_group_name: str,
        commitment_plan_name: str,
        commitment_plan_association_name: str,
        association: Union[_models.CommitmentPlanAccountAssociation, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CommitmentPlanAccountAssociation]:
        """Create or update the association of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan_association_name: The name of the commitment plan association with the
         Cognitive Services Account. Required.
        :type commitment_plan_association_name: str
        :param association: The commitmentPlan properties. Is one of the following types:
         CommitmentPlanAccountAssociation, JSON, IO[bytes] Required.
        :type association: ~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation or
         JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns CommitmentPlanAccountAssociation. The
         CommitmentPlanAccountAssociation is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.CommitmentPlanAccountAssociation] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_association_initial(
                resource_group_name=resource_group_name,
                commitment_plan_name=commitment_plan_name,
                commitment_plan_association_name=commitment_plan_association_name,
                association=association,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.CommitmentPlanAccountAssociation, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.CommitmentPlanAccountAssociation].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.CommitmentPlanAccountAssociation](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_association_initial(
        self, resource_group_name: str, commitment_plan_name: str, commitment_plan_association_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_commitment_plans_delete_association_request(
            resource_group_name=resource_group_name,
            commitment_plan_name=commitment_plan_name,
            commitment_plan_association_name=commitment_plan_association_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete_association(
        self, resource_group_name: str, commitment_plan_name: str, commitment_plan_association_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the association of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :param commitment_plan_association_name: The name of the commitment plan association with the
         Cognitive Services Account. Required.
        :type commitment_plan_association_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_association_initial(
                resource_group_name=resource_group_name,
                commitment_plan_name=commitment_plan_name,
                commitment_plan_association_name=commitment_plan_association_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list_associations(
        self, resource_group_name: str, commitment_plan_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.CommitmentPlanAccountAssociation"]:
        """Gets the associations of the Cognitive Services commitment plan.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param commitment_plan_name: The name of the commitmentPlan associated with the Cognitive
         Services Account. Required.
        :type commitment_plan_name: str
        :return: An iterator like instance of CommitmentPlanAccountAssociation
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.CommitmentPlanAccountAssociation]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.CommitmentPlanAccountAssociation]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_commitment_plans_list_associations_request(
                    resource_group_name=resource_group_name,
                    commitment_plan_name=commitment_plan_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.CommitmentPlanAccountAssociation],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class EncryptionScopesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`encryption_scopes` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, encryption_scope_name: str, **kwargs: Any
    ) -> _models.EncryptionScope:
        """Gets the specified EncryptionScope associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param encryption_scope_name: The name of the encryptionScope associated with the Cognitive
         Services Account. Required.
        :type encryption_scope_name: str
        :return: EncryptionScope. The EncryptionScope is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EncryptionScope
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.EncryptionScope] = kwargs.pop("cls", None)

        _request = build_encryption_scopes_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            encryption_scope_name=encryption_scope_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.EncryptionScope, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        encryption_scope_name: str,
        encryption_scope: _models.EncryptionScope,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.EncryptionScope:
        """Update the state of specified encryptionScope associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param encryption_scope_name: The name of the encryptionScope associated with the Cognitive
         Services Account. Required.
        :type encryption_scope_name: str
        :param encryption_scope: The encryptionScope properties. Required.
        :type encryption_scope: ~azure.mgmt.cognitiveservices.models.EncryptionScope
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: EncryptionScope. The EncryptionScope is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EncryptionScope
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        encryption_scope_name: str,
        encryption_scope: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.EncryptionScope:
        """Update the state of specified encryptionScope associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param encryption_scope_name: The name of the encryptionScope associated with the Cognitive
         Services Account. Required.
        :type encryption_scope_name: str
        :param encryption_scope: The encryptionScope properties. Required.
        :type encryption_scope: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: EncryptionScope. The EncryptionScope is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EncryptionScope
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        encryption_scope_name: str,
        encryption_scope: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.EncryptionScope:
        """Update the state of specified encryptionScope associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param encryption_scope_name: The name of the encryptionScope associated with the Cognitive
         Services Account. Required.
        :type encryption_scope_name: str
        :param encryption_scope: The encryptionScope properties. Required.
        :type encryption_scope: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: EncryptionScope. The EncryptionScope is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EncryptionScope
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        encryption_scope_name: str,
        encryption_scope: Union[_models.EncryptionScope, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.EncryptionScope:
        """Update the state of specified encryptionScope associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param encryption_scope_name: The name of the encryptionScope associated with the Cognitive
         Services Account. Required.
        :type encryption_scope_name: str
        :param encryption_scope: The encryptionScope properties. Is one of the following types:
         EncryptionScope, JSON, IO[bytes] Required.
        :type encryption_scope: ~azure.mgmt.cognitiveservices.models.EncryptionScope or JSON or
         IO[bytes]
        :return: EncryptionScope. The EncryptionScope is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.EncryptionScope
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.EncryptionScope] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(encryption_scope, (IOBase, bytes)):
            _content = encryption_scope
        else:
            _content = json.dumps(encryption_scope, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_encryption_scopes_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            encryption_scope_name=encryption_scope_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.EncryptionScope, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, encryption_scope_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_encryption_scopes_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            encryption_scope_name=encryption_scope_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, encryption_scope_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified encryptionScope associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param encryption_scope_name: The name of the encryptionScope associated with the Cognitive
         Services Account. Required.
        :type encryption_scope_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                encryption_scope_name=encryption_scope_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.EncryptionScope"]:
        """Gets the content filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of EncryptionScope
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.EncryptionScope]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.EncryptionScope]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_encryption_scopes_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.EncryptionScope],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class RaiPoliciesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_policies` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, rai_policy_name: str, **kwargs: Any
    ) -> _models.RaiPolicy:
        """Gets the specified Content Filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiPolicy] = kwargs.pop("cls", None)

        _request = build_rai_policies_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_policy_name=rai_policy_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiPolicy, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_policy_name: str,
        rai_policy: _models.RaiPolicy,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Required.
        :type rai_policy: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_policy_name: str,
        rai_policy: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Required.
        :type rai_policy: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_policy_name: str,
        rai_policy: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Required.
        :type rai_policy: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_policy_name: str,
        rai_policy: Union[_models.RaiPolicy, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Is one of the following types:
         RaiPolicy, JSON, IO[bytes] Required.
        :type rai_policy: ~azure.mgmt.cognitiveservices.models.RaiPolicy or JSON or IO[bytes]
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiPolicy] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_policy, (IOBase, bytes)):
            _content = rai_policy
        else:
            _content = json.dumps(rai_policy, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_policies_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_policy_name=rai_policy_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiPolicy, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, rai_policy_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_rai_policies_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_policy_name=rai_policy_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, rai_policy_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified Content Filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                rai_policy_name=rai_policy_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncItemPaged["_models.RaiPolicy"]:
        """Gets the content filters associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of RaiPolicy
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiPolicy]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiPolicy]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_policies_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiPolicy],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class SubscriptionRaiPolicyOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`subscription_rai_policy` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(self, rai_policy_name: str, **kwargs: Any) -> _models.RaiPolicy:
        """Gets the specified Content Filters associated with the Subscription.

        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiPolicy] = kwargs.pop("cls", None)

        _request = build_subscription_rai_policy_get_request(
            rai_policy_name=rai_policy_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiPolicy, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        rai_policy_name: str,
        rai_policy: _models.RaiPolicy,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the subscription.

        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Required.
        :type rai_policy: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self, rai_policy_name: str, rai_policy: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the subscription.

        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Required.
        :type rai_policy: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self, rai_policy_name: str, rai_policy: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the subscription.

        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Required.
        :type rai_policy: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self, rai_policy_name: str, rai_policy: Union[_models.RaiPolicy, JSON, IO[bytes]], **kwargs: Any
    ) -> _models.RaiPolicy:
        """Update the state of specified Content Filters associated with the subscription.

        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :param rai_policy: Properties describing the Content Filters. Is one of the following types:
         RaiPolicy, JSON, IO[bytes] Required.
        :type rai_policy: ~azure.mgmt.cognitiveservices.models.RaiPolicy or JSON or IO[bytes]
        :return: RaiPolicy. The RaiPolicy is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiPolicy
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiPolicy] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_policy, (IOBase, bytes)):
            _content = rai_policy
        else:
            _content = json.dumps(rai_policy, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_subscription_rai_policy_create_or_update_request(
            rai_policy_name=rai_policy_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiPolicy, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(self, rai_policy_name: str, **kwargs: Any) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_subscription_rai_policy_delete_request(
            rai_policy_name=rai_policy_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(self, rai_policy_name: str, **kwargs: Any) -> AsyncLROPoller[None]:
        """Deletes the specified Content Filters associated with the subscription.

        :param rai_policy_name: The name of the RaiPolicy associated with the Cognitive Services
         Account. Required.
        :type rai_policy_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                rai_policy_name=rai_policy_name, cls=lambda x, y, z: x, headers=_headers, params=_params, **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore


class RaiBlocklistItemsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_blocklist_items` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        **kwargs: Any
    ) -> _models.RaiBlocklistItem:
        """Gets the specified custom blocklist Item associated with the custom blocklist.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_item_name: The name of the RaiBlocklist Item associated with the custom
         blocklist. Required.
        :type rai_blocklist_item_name: str
        :return: RaiBlocklistItem. The RaiBlocklistItem is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiBlocklistItem] = kwargs.pop("cls", None)

        _request = build_rai_blocklist_items_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            rai_blocklist_item_name=rai_blocklist_item_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiBlocklistItem, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        rai_blocklist_item: _models.RaiBlocklistItem,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklistItem:
        """Update the state of specified blocklist item associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_item_name: The name of the RaiBlocklist Item associated with the custom
         blocklist. Required.
        :type rai_blocklist_item_name: str
        :param rai_blocklist_item: Properties describing the custom blocklist. Required.
        :type rai_blocklist_item: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklistItem. The RaiBlocklistItem is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        rai_blocklist_item: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklistItem:
        """Update the state of specified blocklist item associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_item_name: The name of the RaiBlocklist Item associated with the custom
         blocklist. Required.
        :type rai_blocklist_item_name: str
        :param rai_blocklist_item: Properties describing the custom blocklist. Required.
        :type rai_blocklist_item: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklistItem. The RaiBlocklistItem is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        rai_blocklist_item: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklistItem:
        """Update the state of specified blocklist item associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_item_name: The name of the RaiBlocklist Item associated with the custom
         blocklist. Required.
        :type rai_blocklist_item_name: str
        :param rai_blocklist_item: Properties describing the custom blocklist. Required.
        :type rai_blocklist_item: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklistItem. The RaiBlocklistItem is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        rai_blocklist_item: Union[_models.RaiBlocklistItem, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiBlocklistItem:
        """Update the state of specified blocklist item associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_item_name: The name of the RaiBlocklist Item associated with the custom
         blocklist. Required.
        :type rai_blocklist_item_name: str
        :param rai_blocklist_item: Properties describing the custom blocklist. Is one of the following
         types: RaiBlocklistItem, JSON, IO[bytes] Required.
        :type rai_blocklist_item: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem or JSON or
         IO[bytes]
        :return: RaiBlocklistItem. The RaiBlocklistItem is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklistItem
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiBlocklistItem] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_blocklist_item, (IOBase, bytes)):
            _content = rai_blocklist_item
        else:
            _content = json.dumps(rai_blocklist_item, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_blocklist_items_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            rai_blocklist_item_name=rai_blocklist_item_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiBlocklistItem, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_rai_blocklist_items_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            rai_blocklist_item_name=rai_blocklist_item_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_item_name: str,
        **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified blocklist Item associated with the custom blocklist.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_item_name: The name of the RaiBlocklist Item associated with the custom
         blocklist. Required.
        :type rai_blocklist_item_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                rai_blocklist_name=rai_blocklist_name,
                rai_blocklist_item_name=rai_blocklist_item_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, rai_blocklist_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.RaiBlocklistItem"]:
        """Gets the blocklist items associated with the custom blocklist.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :return: An iterator like instance of RaiBlocklistItem
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiBlocklistItem]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiBlocklistItem]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_blocklist_items_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    rai_blocklist_name=rai_blocklist_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiBlocklistItem],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @overload
    async def batch_add(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items: List[_models.RaiBlocklistItemBulkRequest],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Batch operation to add blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items: Properties describing the custom blocklist items. Required.
        :type rai_blocklist_items:
         list[~azure.mgmt.cognitiveservices.models.RaiBlocklistItemBulkRequest]
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def batch_add(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items: List[JSON],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Batch operation to add blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items: Properties describing the custom blocklist items. Required.
        :type rai_blocklist_items: list[JSON]
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def batch_add(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Batch operation to add blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items: Properties describing the custom blocklist items. Required.
        :type rai_blocklist_items: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def batch_add(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items: Union[List[_models.RaiBlocklistItemBulkRequest], List[JSON], IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Batch operation to add blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items: Properties describing the custom blocklist items. Is one of the
         following types: [RaiBlocklistItemBulkRequest], [JSON], IO[bytes] Required.
        :type rai_blocklist_items:
         list[~azure.mgmt.cognitiveservices.models.RaiBlocklistItemBulkRequest] or list[JSON] or
         IO[bytes]
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiBlocklist] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_blocklist_items, (IOBase, bytes)):
            _content = rai_blocklist_items
        else:
            _content = json.dumps(rai_blocklist_items, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_blocklist_items_batch_add_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiBlocklist, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def batch_delete(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items_names: List[str],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> None:
        """Batch operation to delete blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items_names: List of RAI Blocklist Items Names. Required.
        :type rai_blocklist_items_names: list[str]
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def batch_delete(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items_names: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> None:
        """Batch operation to delete blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items_names: List of RAI Blocklist Items Names. Required.
        :type rai_blocklist_items_names: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def batch_delete(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist_items_names: Union[List[str], IO[bytes]],
        **kwargs: Any
    ) -> None:
        """Batch operation to delete blocklist items.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist_items_names: List of RAI Blocklist Items Names. Is either a [str] type or
         a IO[bytes] type. Required.
        :type rai_blocklist_items_names: list[str] or IO[bytes]
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[None] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_blocklist_items_names, (IOBase, bytes)):
            _content = rai_blocklist_items_names
        else:
            _content = json.dumps(rai_blocklist_items_names, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_blocklist_items_batch_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore


class RaiBlocklistsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_blocklists` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, rai_blocklist_name: str, **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Gets the specified custom blocklist associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiBlocklist] = kwargs.pop("cls", None)

        _request = build_rai_blocklists_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiBlocklist, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist: _models.RaiBlocklist,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Update the state of specified blocklist associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist: Properties describing the custom blocklist. Required.
        :type rai_blocklist: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Update the state of specified blocklist associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist: Properties describing the custom blocklist. Required.
        :type rai_blocklist: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Update the state of specified blocklist associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist: Properties describing the custom blocklist. Required.
        :type rai_blocklist: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_blocklist_name: str,
        rai_blocklist: Union[_models.RaiBlocklist, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiBlocklist:
        """Update the state of specified blocklist associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :param rai_blocklist: Properties describing the custom blocklist. Is one of the following
         types: RaiBlocklist, JSON, IO[bytes] Required.
        :type rai_blocklist: ~azure.mgmt.cognitiveservices.models.RaiBlocklist or JSON or IO[bytes]
        :return: RaiBlocklist. The RaiBlocklist is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiBlocklist
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiBlocklist] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_blocklist, (IOBase, bytes)):
            _content = rai_blocklist
        else:
            _content = json.dumps(rai_blocklist, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_blocklists_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiBlocklist, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, rai_blocklist_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_rai_blocklists_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_blocklist_name=rai_blocklist_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, rai_blocklist_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified custom blocklist associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_blocklist_name: The name of the RaiBlocklist associated with the Cognitive Services
         Account. Required.
        :type rai_blocklist_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                rai_blocklist_name=rai_blocklist_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.RaiBlocklist"]:
        """Gets the custom blocklists associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of RaiBlocklist
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiBlocklist]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiBlocklist]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_blocklists_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiBlocklist],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class RaiTopicsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_topics` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, rai_topic_name: str, **kwargs: Any
    ) -> _models.RaiTopic:
        """Gets the specified custom topic associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_topic_name: The name of the Rai Topic associated with the Cognitive Services
         Account. Required.
        :type rai_topic_name: str
        :return: RaiTopic. The RaiTopic is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiTopic
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiTopic] = kwargs.pop("cls", None)

        _request = build_rai_topics_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_topic_name=rai_topic_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiTopic, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_topic_name: str,
        rai_topic: _models.RaiTopic,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiTopic:
        """Create the rai topic associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_topic_name: The name of the Rai Topic associated with the Cognitive Services
         Account. Required.
        :type rai_topic_name: str
        :param rai_topic: Properties describing the rai topic. Required.
        :type rai_topic: ~azure.mgmt.cognitiveservices.models.RaiTopic
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiTopic. The RaiTopic is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiTopic
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_topic_name: str,
        rai_topic: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiTopic:
        """Create the rai topic associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_topic_name: The name of the Rai Topic associated with the Cognitive Services
         Account. Required.
        :type rai_topic_name: str
        :param rai_topic: Properties describing the rai topic. Required.
        :type rai_topic: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiTopic. The RaiTopic is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiTopic
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_topic_name: str,
        rai_topic: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiTopic:
        """Create the rai topic associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_topic_name: The name of the Rai Topic associated with the Cognitive Services
         Account. Required.
        :type rai_topic_name: str
        :param rai_topic: Properties describing the rai topic. Required.
        :type rai_topic: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiTopic. The RaiTopic is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiTopic
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_topic_name: str,
        rai_topic: Union[_models.RaiTopic, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiTopic:
        """Create the rai topic associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_topic_name: The name of the Rai Topic associated with the Cognitive Services
         Account. Required.
        :type rai_topic_name: str
        :param rai_topic: Properties describing the rai topic. Is one of the following types: RaiTopic,
         JSON, IO[bytes] Required.
        :type rai_topic: ~azure.mgmt.cognitiveservices.models.RaiTopic or JSON or IO[bytes]
        :return: RaiTopic. The RaiTopic is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiTopic
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiTopic] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_topic, (IOBase, bytes)):
            _content = rai_topic
        else:
            _content = json.dumps(rai_topic, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_topics_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_topic_name=rai_topic_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiTopic, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, rai_topic_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_rai_topics_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_topic_name=rai_topic_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, rai_topic_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified custom topic associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_topic_name: The name of the Rai Topic associated with the Cognitive Services
         Account. Required.
        :type rai_topic_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                rai_topic_name=rai_topic_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncItemPaged["_models.RaiTopic"]:
        """Gets the custom topics associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of RaiTopic
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiTopic]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiTopic]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_topics_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiTopic],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class RaiToolLabelsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_tool_labels` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, rai_tool_connection_name: str, **kwargs: Any
    ) -> _models.RaiToolLabel:
        """Gets the specified RAI Tool Label associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_tool_connection_name: The name of the Rai Tool Label. Required.
        :type rai_tool_connection_name: str
        :return: RaiToolLabel. The RaiToolLabel is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiToolLabel
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiToolLabel] = kwargs.pop("cls", None)

        _request = build_rai_tool_labels_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_tool_connection_name=rai_tool_connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiToolLabel, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_tool_connection_name: str,
        rai_tool_label: _models.RaiToolLabel,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiToolLabel:
        """Creates the RAI Tool Label associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_tool_connection_name: The name of the Rai Tool Label. Required.
        :type rai_tool_connection_name: str
        :param rai_tool_label: Properties describing the RAI Tool Label. Required.
        :type rai_tool_label: ~azure.mgmt.cognitiveservices.models.RaiToolLabel
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiToolLabel. The RaiToolLabel is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiToolLabel
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_tool_connection_name: str,
        rai_tool_label: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiToolLabel:
        """Creates the RAI Tool Label associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_tool_connection_name: The name of the Rai Tool Label. Required.
        :type rai_tool_connection_name: str
        :param rai_tool_label: Properties describing the RAI Tool Label. Required.
        :type rai_tool_label: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiToolLabel. The RaiToolLabel is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiToolLabel
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_tool_connection_name: str,
        rai_tool_label: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiToolLabel:
        """Creates the RAI Tool Label associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_tool_connection_name: The name of the Rai Tool Label. Required.
        :type rai_tool_connection_name: str
        :param rai_tool_label: Properties describing the RAI Tool Label. Required.
        :type rai_tool_label: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiToolLabel. The RaiToolLabel is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiToolLabel
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        rai_tool_connection_name: str,
        rai_tool_label: Union[_models.RaiToolLabel, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiToolLabel:
        """Creates the RAI Tool Label associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_tool_connection_name: The name of the Rai Tool Label. Required.
        :type rai_tool_connection_name: str
        :param rai_tool_label: Properties describing the RAI Tool Label. Is one of the following types:
         RaiToolLabel, JSON, IO[bytes] Required.
        :type rai_tool_label: ~azure.mgmt.cognitiveservices.models.RaiToolLabel or JSON or IO[bytes]
        :return: RaiToolLabel. The RaiToolLabel is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiToolLabel
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiToolLabel] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(rai_tool_label, (IOBase, bytes)):
            _content = rai_tool_label
        else:
            _content = json.dumps(rai_tool_label, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_tool_labels_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_tool_connection_name=rai_tool_connection_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiToolLabel, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, rai_tool_connection_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_rai_tool_labels_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            rai_tool_connection_name=rai_tool_connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, rai_tool_connection_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified RAI Tool Label associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param rai_tool_connection_name: The name of the Rai Tool Label. Required.
        :type rai_tool_connection_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                rai_tool_connection_name=rai_tool_connection_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.RaiToolLabel"]:
        """Lists all RAI Tool Labels associated with the Azure OpenAI account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of RaiToolLabel
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiToolLabel]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiToolLabel]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_tool_labels_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiToolLabel],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class RaiContentFiltersOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_content_filters` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(self, location: str, filter_name: str, **kwargs: Any) -> _models.RaiContentFilter:
        """Get Content Filters by Name.

        :param location: The name of the Azure region. Required.
        :type location: str
        :param filter_name: The name of the RAI Content Filter. Required.
        :type filter_name: str
        :return: RaiContentFilter. The RaiContentFilter is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiContentFilter
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiContentFilter] = kwargs.pop("cls", None)

        _request = build_rai_content_filters_get_request(
            location=location,
            filter_name=filter_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiContentFilter, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace
    def list(self, location: str, **kwargs: Any) -> AsyncItemPaged["_models.RaiContentFilter"]:
        """List Content Filters types.

        :param location: The name of the Azure region. Required.
        :type location: str
        :return: An iterator like instance of RaiContentFilter
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiContentFilter]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiContentFilter]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_content_filters_list_request(
                    location=location,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiContentFilter],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class NetworkSecurityPerimeterConfigurationsOperations:  # pylint: disable=name-too-long
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`network_security_perimeter_configurations` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, nsp_configuration_name: str, **kwargs: Any
    ) -> _models.NetworkSecurityPerimeterConfiguration:
        """Gets the specified NSP configurations for an account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param nsp_configuration_name: The name of the NSP Configuration. Required.
        :type nsp_configuration_name: str
        :return: NetworkSecurityPerimeterConfiguration. The NetworkSecurityPerimeterConfiguration is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.NetworkSecurityPerimeterConfiguration
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.NetworkSecurityPerimeterConfiguration] = kwargs.pop("cls", None)

        _request = build_network_security_perimeter_configurations_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            nsp_configuration_name=nsp_configuration_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.NetworkSecurityPerimeterConfiguration, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.NetworkSecurityPerimeterConfiguration"]:
        """Gets a list of NSP configurations for an account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of NetworkSecurityPerimeterConfiguration
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.NetworkSecurityPerimeterConfiguration]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.NetworkSecurityPerimeterConfiguration]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_network_security_perimeter_configurations_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.NetworkSecurityPerimeterConfiguration],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    async def _reconcile_initial(
        self, resource_group_name: str, account_name: str, nsp_configuration_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_network_security_perimeter_configurations_reconcile_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            nsp_configuration_name=nsp_configuration_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_reconcile(
        self, resource_group_name: str, account_name: str, nsp_configuration_name: str, **kwargs: Any
    ) -> AsyncLROPoller[_models.NetworkSecurityPerimeterConfiguration]:
        """Reconcile the NSP configuration for an account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param nsp_configuration_name: The name of the NSP Configuration. Required.
        :type nsp_configuration_name: str
        :return: An instance of AsyncLROPoller that returns NetworkSecurityPerimeterConfiguration. The
         NetworkSecurityPerimeterConfiguration is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.NetworkSecurityPerimeterConfiguration]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.NetworkSecurityPerimeterConfiguration] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._reconcile_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                nsp_configuration_name=nsp_configuration_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.NetworkSecurityPerimeterConfiguration, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.NetworkSecurityPerimeterConfiguration].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.NetworkSecurityPerimeterConfiguration](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )


class DefenderForAISettingsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`defender_for_ai_settings` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, defender_for_ai_setting_name: str, **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Gets the specified Defender for AI setting by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.DefenderForAISetting] = kwargs.pop("cls", None)

        _request = build_defender_for_ai_settings_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            defender_for_ai_setting_name=defender_for_ai_setting_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.DefenderForAISetting, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: _models.DefenderForAISetting,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Creates or Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Required.
        :type defender_for_ai_settings: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Creates or Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Required.
        :type defender_for_ai_settings: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Creates or Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Required.
        :type defender_for_ai_settings: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: Union[_models.DefenderForAISetting, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Creates or Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Is one of
         the following types: DefenderForAISetting, JSON, IO[bytes] Required.
        :type defender_for_ai_settings: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting or
         JSON or IO[bytes]
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.DefenderForAISetting] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(defender_for_ai_settings, (IOBase, bytes)):
            _content = defender_for_ai_settings
        else:
            _content = json.dumps(defender_for_ai_settings, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_defender_for_ai_settings_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            defender_for_ai_setting_name=defender_for_ai_setting_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.DefenderForAISetting, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: _models.DefenderForAISetting,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Required.
        :type defender_for_ai_settings: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Required.
        :type defender_for_ai_settings: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Required.
        :type defender_for_ai_settings: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        defender_for_ai_setting_name: str,
        defender_for_ai_settings: Union[_models.DefenderForAISetting, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.DefenderForAISetting:
        """Updates the specified Defender for AI setting.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param defender_for_ai_setting_name: The name of the defender for AI setting. Required.
        :type defender_for_ai_setting_name: str
        :param defender_for_ai_settings: Properties describing the Defender for AI setting. Is one of
         the following types: DefenderForAISetting, JSON, IO[bytes] Required.
        :type defender_for_ai_settings: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting or
         JSON or IO[bytes]
        :return: DefenderForAISetting. The DefenderForAISetting is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DefenderForAISetting
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.DefenderForAISetting] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(defender_for_ai_settings, (IOBase, bytes)):
            _content = defender_for_ai_settings
        else:
            _content = json.dumps(defender_for_ai_settings, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_defender_for_ai_settings_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            defender_for_ai_setting_name=defender_for_ai_setting_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.DefenderForAISetting, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.DefenderForAISetting"]:
        """Lists the Defender for AI settings.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of DefenderForAISetting
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.DefenderForAISetting]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.DefenderForAISetting]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_defender_for_ai_settings_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.DefenderForAISetting],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ProjectsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`projects` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, project_name: str, **kwargs: Any
    ) -> _models.Project:
        """Returns a Cognitive Services project specified by the parameters.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :return: Project. The Project is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Project
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Project] = kwargs.pop("cls", None)

        _request = build_projects_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Project, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: Union[_models.Project, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(project, (IOBase, bytes)):
            _content = project
        else:
            _content = json.dumps(project, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_projects_create_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: _models.Project,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Create Cognitive Services Account's Project. Project is a sub-resource of an account which give
        AI developer it's individual container to work on.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Required.
        :type project: ~azure.mgmt.cognitiveservices.models.Project
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Create Cognitive Services Account's Project. Project is a sub-resource of an account which give
        AI developer it's individual container to work on.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Required.
        :type project: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Create Cognitive Services Account's Project. Project is a sub-resource of an account which give
        AI developer it's individual container to work on.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Required.
        :type project: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: Union[_models.Project, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Create Cognitive Services Account's Project. Project is a sub-resource of an account which give
        AI developer it's individual container to work on.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Is one of the following
         types: Project, JSON, IO[bytes] Required.
        :type project: ~azure.mgmt.cognitiveservices.models.Project or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Project] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                project=project,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Project, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Project].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Project](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: Union[_models.Project, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(project, (IOBase, bytes)):
            _content = project
        else:
            _content = json.dumps(project, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_projects_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: _models.Project,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Updates a Cognitive Services Project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Required.
        :type project: ~azure.mgmt.cognitiveservices.models.Project
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Updates a Cognitive Services Project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Required.
        :type project: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Updates a Cognitive Services Project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Required.
        :type project: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        project: Union[_models.Project, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Project]:
        """Updates a Cognitive Services Project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param project: The parameters to provide for the created project. Is one of the following
         types: Project, JSON, IO[bytes] Required.
        :type project: ~azure.mgmt.cognitiveservices.models.Project or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Project. The Project is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Project] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                project=project,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Project, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Project].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Project](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, project_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_projects_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, project_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes a Cognitive Services project from the resource group.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncItemPaged["_models.Project"]:
        """Returns all the projects in a Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of Project
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Project]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Project]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_projects_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Project],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ProjectConnectionsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`project_connections` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, project_name: str, connection_name: str, **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Lists Cognitive Services project connection by name.

        Lists Cognitive Services project connection by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ConnectionPropertiesV2BasicResource] = kwargs.pop("cls", None)

        _request = build_project_connections_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ConnectionPropertiesV2BasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[_models.ConnectionPropertiesV2BasicResource] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services project connection under the specified project.

        Create or update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Default value
         is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[JSON] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services project connection under the specified project.

        Create or update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Default value
         is None.
        :type connection: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[IO[bytes]] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services project connection under the specified project.

        Create or update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Default value
         is None.
        :type connection: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[Union[_models.ConnectionPropertiesV2BasicResource, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services project connection under the specified project.

        Create or update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Is one of the
         following types: ConnectionPropertiesV2BasicResource, JSON, IO[bytes] Default value is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource or
         JSON or IO[bytes]
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if connection else None
        cls: ClsType[_models.ConnectionPropertiesV2BasicResource] = kwargs.pop("cls", None)

        content_type = content_type or "application/json" if connection else None
        _content = None
        if isinstance(connection, (IOBase, bytes)):
            _content = connection
        else:
            if connection is not None:
                _content = json.dumps(connection, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
            else:
                _content = None

        _request = build_project_connections_create_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ConnectionPropertiesV2BasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[_models.ConnectionUpdateContent] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services project connection under the specified project.

        Update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Default value is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionUpdateContent
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[JSON] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services project connection under the specified project.

        Update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Default value is None.
        :type connection: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[IO[bytes]] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services project connection under the specified project.

        Update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Default value is None.
        :type connection: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        connection_name: str,
        connection: Optional[Union[_models.ConnectionUpdateContent, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services project connection under the specified project.

        Update Cognitive Services project connection under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Is one of the following types:
         ConnectionUpdateContent, JSON, IO[bytes] Default value is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionUpdateContent or JSON or
         IO[bytes]
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if connection else None
        cls: ClsType[_models.ConnectionPropertiesV2BasicResource] = kwargs.pop("cls", None)

        content_type = content_type or "application/json" if connection else None
        _content = None
        if isinstance(connection, (IOBase, bytes)):
            _content = connection
        else:
            if connection is not None:
                _content = json.dumps(connection, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
            else:
                _content = None

        _request = build_project_connections_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ConnectionPropertiesV2BasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def delete(
        self, resource_group_name: str, account_name: str, project_name: str, connection_name: str, **kwargs: Any
    ) -> None:
        """Delete Cognitive Services project connection by name.

        Delete Cognitive Services project connection by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_project_connections_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore

    @distributed_trace
    def list(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        *,
        target: Optional[str] = None,
        category: Optional[str] = None,
        include_all: bool = False,
        **kwargs: Any
    ) -> AsyncItemPaged["_models.ConnectionPropertiesV2BasicResource"]:
        """Lists all the available Cognitive Services project connections under the specified project.

        Lists all the available Cognitive Services project connections under the specified project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :keyword target: Target of the connection. Default value is None.
        :paramtype target: str
        :keyword category: Category of the connection. Default value is None.
        :paramtype category: str
        :keyword include_all: query parameter that indicates if get connection call should return both
         connections and datastores. Default value is False.
        :paramtype include_all: bool
        :return: An iterator like instance of ConnectionPropertiesV2BasicResource
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ConnectionPropertiesV2BasicResource]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_project_connections_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    project_name=project_name,
                    subscription_id=self._config.subscription_id,
                    target=target,
                    category=category,
                    include_all=include_all,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ConnectionPropertiesV2BasicResource],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ProjectCapabilityHostsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`project_capability_hosts` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, project_name: str, capability_host_name: str, **kwargs: Any
    ) -> _models.ProjectCapabilityHost:
        """Get project capabilityHost.

        Get project capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :return: ProjectCapabilityHost. The ProjectCapabilityHost is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ProjectCapabilityHost] = kwargs.pop("cls", None)

        _request = build_project_capability_hosts_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            capability_host_name=capability_host_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ProjectCapabilityHost, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        capability_host_name: str,
        capability_host: Union[_models.ProjectCapabilityHost, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(capability_host, (IOBase, bytes)):
            _content = capability_host
        else:
            _content = json.dumps(capability_host, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_project_capability_hosts_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            capability_host_name=capability_host_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["x-ms-async-operation-timeout"] = self._deserialize(
                "str", response.headers.get("x-ms-async-operation-timeout")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        capability_host_name: str,
        capability_host: _models.ProjectCapabilityHost,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ProjectCapabilityHost]:
        """Create or update project capabilityHost.

        Create or update project capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Required.
        :type capability_host: ~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ProjectCapabilityHost. The
         ProjectCapabilityHost is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        capability_host_name: str,
        capability_host: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ProjectCapabilityHost]:
        """Create or update project capabilityHost.

        Create or update project capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Required.
        :type capability_host: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ProjectCapabilityHost. The
         ProjectCapabilityHost is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        capability_host_name: str,
        capability_host: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ProjectCapabilityHost]:
        """Create or update project capabilityHost.

        Create or update project capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Required.
        :type capability_host: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ProjectCapabilityHost. The
         ProjectCapabilityHost is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        capability_host_name: str,
        capability_host: Union[_models.ProjectCapabilityHost, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ProjectCapabilityHost]:
        """Create or update project capabilityHost.

        Create or update project capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Is one of the following types:
         ProjectCapabilityHost, JSON, IO[bytes] Required.
        :type capability_host: ~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost or JSON or
         IO[bytes]
        :return: An instance of AsyncLROPoller that returns ProjectCapabilityHost. The
         ProjectCapabilityHost is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.ProjectCapabilityHost] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                capability_host_name=capability_host_name,
                capability_host=capability_host,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.ProjectCapabilityHost, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.ProjectCapabilityHost].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.ProjectCapabilityHost](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, project_name: str, capability_host_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_project_capability_hosts_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            capability_host_name=capability_host_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["x-ms-async-operation-timeout"] = self._deserialize(
                "str", response.headers.get("x-ms-async-operation-timeout")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, project_name: str, capability_host_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Delete project capabilityHost.

        Delete project capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                capability_host_name=capability_host_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, project_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.ProjectCapabilityHost"]:
        """List capabilityHost.

        List capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :return: An iterator like instance of ProjectCapabilityHost
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ProjectCapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ProjectCapabilityHost]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_project_capability_hosts_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    project_name=project_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ProjectCapabilityHost],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class QuotaTiersOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`quota_tiers` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(self, default: str, **kwargs: Any) -> _models.QuotaTier:
        """Gets the Quota Tier for a subscription.

        Gets the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.QuotaTier] = kwargs.pop("cls", None)

        _request = build_quota_tiers_get_request(
            default=default,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.QuotaTier, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self, default: str, tier: _models.QuotaTier, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription.

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Required.
        :type tier: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self, default: str, tier: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription.

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Required.
        :type tier: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self, default: str, tier: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription.

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Required.
        :type tier: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self, default: str, tier: Union[_models.QuotaTier, JSON, IO[bytes]], **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription.

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Is one of the following
         types: QuotaTier, JSON, IO[bytes] Required.
        :type tier: ~azure.mgmt.cognitiveservices.models.QuotaTier or JSON or IO[bytes]
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.QuotaTier] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(tier, (IOBase, bytes)):
            _content = tier
        else:
            _content = json.dumps(tier, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_quota_tiers_create_or_update_request(
            default=default,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.QuotaTier, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def update(
        self, default: str, tier: _models.QuotaTier, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription. The only properties that can be updated are
        "tierUpgradePolicy".

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Required.
        :type tier: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self, default: str, tier: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription. The only properties that can be updated are
        "tierUpgradePolicy".

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Required.
        :type tier: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self, default: str, tier: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription. The only properties that can be updated are
        "tierUpgradePolicy".

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Required.
        :type tier: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def update(
        self, default: str, tier: Union[_models.QuotaTier, JSON, IO[bytes]], **kwargs: Any
    ) -> _models.QuotaTier:
        """Updates the Quota Tier resource for a subscription. The only properties that can be updated are
        "tierUpgradePolicy".

        Update the Quota Tier information for the given subscription. QuotaTiers is a subscription wide
        resource type. It holds current tier information.

        :param default: Default parameter. Leave the value as default. Required.
        :type default: str
        :param tier: The parameters to provide for the quota tier resource. Is one of the following
         types: QuotaTier, JSON, IO[bytes] Required.
        :type tier: ~azure.mgmt.cognitiveservices.models.QuotaTier or JSON or IO[bytes]
        :return: QuotaTier. The QuotaTier is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.QuotaTier
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.QuotaTier] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(tier, (IOBase, bytes)):
            _content = tier
        else:
            _content = json.dumps(tier, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_quota_tiers_update_request(
            default=default,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.QuotaTier, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace
    def list_by_subscription(self, **kwargs: Any) -> AsyncItemPaged["_models.QuotaTier"]:
        """Returns all the resources of a particular type belonging to a subscription.

        :return: An iterator like instance of QuotaTier
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.QuotaTier]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.QuotaTier]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_quota_tiers_list_by_subscription_request(
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.QuotaTier],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class AgentApplicationsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`agent_applications` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, project_name: str, name: str, **kwargs: Any
    ) -> _models.AgentApplication:
        """Gets an Agent Application by name.

        Gets an Agent Application by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :return: AgentApplication. The AgentApplication is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.AgentApplication
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.AgentApplication] = kwargs.pop("cls", None)

        _request = build_agent_applications_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            name=name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.AgentApplication, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        name: str,
        body: Union[_models.AgentApplication, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_agent_applications_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            name=name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["x-ms-async-operation-timeout"] = self._deserialize(
                "str", response.headers.get("x-ms-async-operation-timeout")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        name: str,
        body: _models.AgentApplication,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentApplication]:
        """Creates or updates an Agent Application (asynchronous).

        Creates or updates an Agent Application (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :param body: Agent Application definition object. Required.
        :type body: ~azure.mgmt.cognitiveservices.models.AgentApplication
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns AgentApplication. The AgentApplication is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentApplication]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        name: str,
        body: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentApplication]:
        """Creates or updates an Agent Application (asynchronous).

        Creates or updates an Agent Application (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :param body: Agent Application definition object. Required.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns AgentApplication. The AgentApplication is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentApplication]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        name: str,
        body: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentApplication]:
        """Creates or updates an Agent Application (asynchronous).

        Creates or updates an Agent Application (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :param body: Agent Application definition object. Required.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns AgentApplication. The AgentApplication is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentApplication]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        name: str,
        body: Union[_models.AgentApplication, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentApplication]:
        """Creates or updates an Agent Application (asynchronous).

        Creates or updates an Agent Application (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :param body: Agent Application definition object. Is one of the following types:
         AgentApplication, JSON, IO[bytes] Required.
        :type body: ~azure.mgmt.cognitiveservices.models.AgentApplication or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns AgentApplication. The AgentApplication is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentApplication]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.AgentApplication] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                name=name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.AgentApplication, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.AgentApplication].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.AgentApplication](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, project_name: str, name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_agent_applications_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            name=name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, project_name: str, name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Delete Agent Application.

        Delete Agent Application.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                name=name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        *,
        count: int = 30,
        skip: Optional[int] = None,
        skip_token: Optional[str] = None,
        names: Optional[List[str]] = None,
        search_text: Optional[str] = None,
        order_by: Optional[str] = None,
        order_by_asc: bool = False,
        **kwargs: Any
    ) -> AsyncItemPaged["_models.AgentApplication"]:
        """Lists Agent Applications in the project.

        Lists Agent Applications in the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :keyword count: Number of agent applications to be retrieved in a page of results. Default
         value is 30.
        :paramtype count: int
        :keyword skip: Number of agent applications to skip. Default value is None.
        :paramtype skip: int
        :keyword skip_token: Continuation token for pagination. Default value is None.
        :paramtype skip_token: str
        :keyword names: Names of agent applications to retrieve. Default value is None.
        :paramtype names: list[str]
        :keyword search_text: Search text for filtering agent applications. Default value is None.
        :paramtype search_text: str
        :keyword order_by: Field to order by. Default value is None.
        :paramtype order_by: str
        :keyword order_by_asc: Whether to order in ascending order. Default value is False.
        :paramtype order_by_asc: bool
        :return: An iterator like instance of AgentApplication
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.AgentApplication]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.AgentApplication]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_agent_applications_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    project_name=project_name,
                    subscription_id=self._config.subscription_id,
                    count=count,
                    skip=skip,
                    skip_token=skip_token,
                    names=names,
                    search_text=search_text,
                    order_by=order_by,
                    order_by_asc=order_by_asc,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.AgentApplication],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def list_agents(
        self, resource_group_name: str, account_name: str, project_name: str, name: str, **kwargs: Any
    ) -> _models.AgentReferenceResourceArmPaginatedResult:
        """Lists agents for an Agent Application.

        Lists agents for an Agent Application.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :return: AgentReferenceResourceArmPaginatedResult. The AgentReferenceResourceArmPaginatedResult
         is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.AgentReferenceResourceArmPaginatedResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.AgentReferenceResourceArmPaginatedResult] = kwargs.pop("cls", None)

        _request = build_agent_applications_list_agents_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            name=name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.AgentReferenceResourceArmPaginatedResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def enable(
        self, resource_group_name: str, account_name: str, project_name: str, name: str, **kwargs: Any
    ) -> None:
        """Enables an Agent Application.

        Enables an Agent Application.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_agent_applications_enable_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            name=name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **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)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore

    @distributed_trace_async
    async def disable(
        self, resource_group_name: str, account_name: str, project_name: str, name: str, **kwargs: Any
    ) -> None:
        """Disables an Agent Application.

        Disables an Agent Application.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param name: Name for the Agent Application. Required.
        :type name: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_agent_applications_disable_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            name=name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **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)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore


class ManagedComputeDeploymentsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`managed_compute_deployments` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def get(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> _models.ManagedComputeDeployment:
        """Gets the specified managed compute deployment associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :return: ManagedComputeDeployment. The ManagedComputeDeployment is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ManagedComputeDeployment] = kwargs.pop("cls", None)

        _request = build_managed_compute_deployments_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ManagedComputeDeployment, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        resource: Union[_models.ManagedComputeDeployment, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(resource, (IOBase, bytes)):
            _content = resource
        else:
            _content = json.dumps(resource, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_managed_compute_deployments_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        resource: _models.ManagedComputeDeployment,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Creates or updates a managed compute deployment associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param resource: The managed compute deployment properties. Required.
        :type resource: ~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        resource: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Creates or updates a managed compute deployment associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param resource: The managed compute deployment properties. Required.
        :type resource: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        resource: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Creates or updates a managed compute deployment associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param resource: The managed compute deployment properties. Required.
        :type resource: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        resource: Union[_models.ManagedComputeDeployment, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Creates or updates a managed compute deployment associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param resource: The managed compute deployment properties. Is one of the following types:
         ManagedComputeDeployment, JSON, IO[bytes] Required.
        :type resource: ~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment or JSON or
         IO[bytes]
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.ManagedComputeDeployment] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                deployment_name=deployment_name,
                resource=resource,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.ManagedComputeDeployment, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.ManagedComputeDeployment].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.ManagedComputeDeployment](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        properties: Union[_models.PatchResourceSku, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(properties, (IOBase, bytes)):
            _content = properties
        else:
            _content = json.dumps(properties, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_managed_compute_deployments_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        properties: _models.PatchResourceSku,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Updates the specified managed compute deployment associated with the Cognitive Services
        account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param properties: The managed compute deployment patch properties. Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.PatchResourceSku
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        properties: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Updates the specified managed compute deployment associated with the Cognitive Services
        account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param properties: The managed compute deployment patch properties. Required.
        :type properties: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        properties: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Updates the specified managed compute deployment associated with the Cognitive Services
        account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param properties: The managed compute deployment patch properties. Required.
        :type properties: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        deployment_name: str,
        properties: Union[_models.PatchResourceSku, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedComputeDeployment]:
        """Updates the specified managed compute deployment associated with the Cognitive Services
        account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :param properties: The managed compute deployment patch properties. Is one of the following
         types: PatchResourceSku, JSON, IO[bytes] Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.PatchResourceSku or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns ManagedComputeDeployment. The
         ManagedComputeDeployment is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.ManagedComputeDeployment] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                deployment_name=deployment_name,
                properties=properties,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.ManagedComputeDeployment, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.ManagedComputeDeployment].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.ManagedComputeDeployment](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _delete_initial(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_managed_compute_deployments_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Location"] = self._deserialize("str", response.headers.get("Location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "deployment_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_delete(
        self, resource_group_name: str, account_name: str, deployment_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified managed compute deployment associated with the Cognitive Services
        account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param deployment_name: The name of the managed compute deployment associated with the
         Cognitive Services Account. Required.
        :type deployment_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                deployment_name=deployment_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": ["api_version", "subscription_id", "resource_group_name", "account_name", "accept"]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.ManagedComputeDeployment"]:
        """Gets the managed compute deployments associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of ManagedComputeDeployment
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ManagedComputeDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ManagedComputeDeployment]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_managed_compute_deployments_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ManagedComputeDeployment],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ComputeOperationsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`compute_operations` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-01-15-preview",
        params_added_on={
            "2026-01-15-preview": ["api_version", "subscription_id", "location", "operation_id", "accept"]
        },
        api_versions_list=["2026-01-15-preview", "2026-03-15-preview"],
    )
    async def get(self, location: str, operation_id: str, **kwargs: Any) -> _models.ComputeOperationStatus:
        """Gets the status of a compute operation.

        :param location: The name of the Azure region. Required.
        :type location: str
        :param operation_id: The ID of the compute operation. Required.
        :type operation_id: str
        :return: ComputeOperationStatus. The ComputeOperationStatus is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ComputeOperationStatus
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ComputeOperationStatus] = kwargs.pop("cls", None)

        _request = build_compute_operations_get_request(
            location=location,
            operation_id=operation_id,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ComputeOperationStatus, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore


class ManagedComputeUsagesOperationGroupOperations:  # pylint: disable=name-too-long
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`managed_compute_usages_operation_group` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={"2026-03-15-preview": ["api_version", "subscription_id", "location", "accept"]},
        api_versions_list=["2026-03-15-preview"],
    )
    def list(self, location: str, **kwargs: Any) -> AsyncItemPaged["_models.ManagedComputeUsage"]:
        """List managed compute quota usages for a subscription and location.

        :param location: The location name. Required.
        :type location: str
        :return: An iterator like instance of ManagedComputeUsage
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ManagedComputeUsage]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ManagedComputeUsage]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_managed_compute_usages_operation_group_list_request(
                    location=location,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ManagedComputeUsage],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ComputesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`computes` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def get(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> _models.Compute:
        """Gets the specified compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :return: Compute. The Compute is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Compute
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Compute] = kwargs.pop("cls", None)

        _request = build_computes_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Compute, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        resource: Union[_models.Compute, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(resource, (IOBase, bytes)):
            _content = resource
        else:
            _content = json.dumps(resource, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_computes_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        resource: _models.Compute,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Creates or updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param resource: The compute properties. Required.
        :type resource: ~azure.mgmt.cognitiveservices.models.Compute
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        resource: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Creates or updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param resource: The compute properties. Required.
        :type resource: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        resource: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Creates or updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param resource: The compute properties. Required.
        :type resource: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        resource: Union[_models.Compute, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Creates or updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param resource: The compute properties. Is one of the following types: Compute, JSON,
         IO[bytes] Required.
        :type resource: ~azure.mgmt.cognitiveservices.models.Compute or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Compute] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                compute_name=compute_name,
                resource=resource,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Compute, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Compute].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Compute](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        properties: Union[_models.Compute, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(properties, (IOBase, bytes)):
            _content = properties
        else:
            _content = json.dumps(properties, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_computes_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        properties: _models.Compute,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param properties: The compute properties to update. Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.Compute
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        properties: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param properties: The compute properties to update. Required.
        :type properties: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        properties: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param properties: The compute properties to update. Required.
        :type properties: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        compute_name: str,
        properties: Union[_models.Compute, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Compute]:
        """Updates a compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :param properties: The compute properties to update. Is one of the following types: Compute,
         JSON, IO[bytes] Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.Compute or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Compute. The Compute is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Compute] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                compute_name=compute_name,
                properties=properties,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Compute, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Compute].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Compute](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _delete_initial(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_computes_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_delete(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified compute associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                compute_name=compute_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": ["api_version", "subscription_id", "resource_group_name", "account_name", "accept"]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    def list(self, resource_group_name: str, account_name: str, **kwargs: Any) -> AsyncItemPaged["_models.Compute"]:
        """Gets the computes associated with the Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of Compute
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Compute]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Compute]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_computes_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Compute],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _start_initial(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_computes_start_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_start(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Starts a stopped ContainerInstance compute resource. This is a long-running operation that
        returns 202 Accepted. Only applicable when computeType is ContainerInstance.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._start_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                compute_name=compute_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _stop_initial(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_computes_stop_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_stop(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Stops a running ContainerInstance compute resource. This is a long-running operation that
        returns 202 Accepted. Only applicable when computeType is ContainerInstance.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._stop_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                compute_name=compute_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _restart_initial(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_computes_restart_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            compute_name=compute_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "compute_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_restart(
        self, resource_group_name: str, account_name: str, compute_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Restarts a running ContainerInstance compute resource. This is a long-running operation that
        returns 202 Accepted. Only applicable when computeType is ContainerInstance.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param compute_name: The name of the compute associated with the Cognitive Services Account.
         Required.
        :type compute_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._restart_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                compute_name=compute_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore


class WorkbenchesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`workbenches` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def get(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> _models.Workbench:
        """Gets the specified workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :return: Workbench. The Workbench is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.Workbench
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.Workbench] = kwargs.pop("cls", None)

        _request = build_workbenches_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.Workbench, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        resource: Union[_models.Workbench, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(resource, (IOBase, bytes)):
            _content = resource
        else:
            _content = json.dumps(resource, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_workbenches_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        resource: _models.Workbench,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Creates or updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param resource: The workbench properties. Required.
        :type resource: ~azure.mgmt.cognitiveservices.models.Workbench
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        resource: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Creates or updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param resource: The workbench properties. Required.
        :type resource: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        resource: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Creates or updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param resource: The workbench properties. Required.
        :type resource: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        resource: Union[_models.Workbench, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Creates or updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param resource: The workbench properties. Is one of the following types: Workbench, JSON,
         IO[bytes] Required.
        :type resource: ~azure.mgmt.cognitiveservices.models.Workbench or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Workbench] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                workbench_name=workbench_name,
                resource=resource,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Workbench, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Workbench].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Workbench](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        properties: Union[_models.Workbench, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(properties, (IOBase, bytes)):
            _content = properties
        else:
            _content = json.dumps(properties, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_workbenches_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        properties: _models.Workbench,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param properties: The workbench properties to update. Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.Workbench
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        properties: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param properties: The workbench properties to update. Required.
        :type properties: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        properties: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param properties: The workbench properties to update. Required.
        :type properties: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
                "content_type",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        workbench_name: str,
        properties: Union[_models.Workbench, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.Workbench]:
        """Updates a workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :param properties: The workbench properties to update. Is one of the following types:
         Workbench, JSON, IO[bytes] Required.
        :type properties: ~azure.mgmt.cognitiveservices.models.Workbench or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns Workbench. The Workbench is compatible with
         MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.Workbench] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                workbench_name=workbench_name,
                properties=properties,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.Workbench, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.Workbench].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.Workbench](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _delete_initial(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_workbenches_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_delete(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Deletes the specified workbench associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                workbench_name=workbench_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    def list(
        self, resource_group_name: str, account_name: str, project_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.Workbench"]:
        """Gets the workbenches associated with the project.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :return: An iterator like instance of Workbench
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Workbench]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Workbench]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_workbenches_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    project_name=project_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Workbench],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _start_initial(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_workbenches_start_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_start(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Starts a stopped workbench resource. This is a long-running operation that returns 202
        Accepted. Returns 204 if the workbench is already in the target state.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._start_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                workbench_name=workbench_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _stop_initial(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_workbenches_stop_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_stop(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Stops a running workbench resource. This is a long-running operation that returns 202 Accepted.
        Returns 204 if the workbench is already in the target state.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._stop_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                workbench_name=workbench_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def _restart_initial(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_workbenches_restart_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            workbench_name=workbench_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "project_name",
                "workbench_name",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    async def begin_restart(
        self, resource_group_name: str, account_name: str, project_name: str, workbench_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Restarts a running workbench resource. This is a long-running operation that returns 202
        Accepted. Returns 204 if the workbench is already in the target state.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param workbench_name: The name of the workbench associated with the project. Required.
        :type workbench_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._restart_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                workbench_name=workbench_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore


class ManagedComputeCapacitiesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`managed_compute_capacities` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    @api_version_validation(
        method_added_on="2026-03-15-preview",
        params_added_on={
            "2026-03-15-preview": [
                "api_version",
                "subscription_id",
                "offer",
                "accelerator_type",
                "deployment_id",
                "accept",
            ]
        },
        api_versions_list=["2026-03-15-preview"],
    )
    def list(
        self, *, offer: str, accelerator_type: Optional[str] = None, deployment_id: Optional[str] = None, **kwargs: Any
    ) -> AsyncItemPaged["_models.ManagedComputeCapacity"]:
        """Gets the managed compute capacities for a subscription. Returns available capacity per
        accelerator type, including deployment size information.

        :keyword offer: The offer name to query capacity for (required). Required.
        :paramtype offer: str
        :keyword accelerator_type: Optional accelerator type filter to narrow results to a specific
         accelerator type. Default value is None.
        :paramtype accelerator_type: str
        :keyword deployment_id: Optional deployment resource ID. When provided, returns capacity for
         the specific region
         where the deployment is hosted rather than the best available region. Default value is None.
        :paramtype deployment_id: str
        :return: An iterator like instance of ManagedComputeCapacity
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ManagedComputeCapacity]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ManagedComputeCapacity]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_managed_compute_capacities_list_request(
                    subscription_id=self._config.subscription_id,
                    offer=offer,
                    accelerator_type=accelerator_type,
                    deployment_id=deployment_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ManagedComputeCapacity],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class PrivateLinkResourcesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`private_link_resources` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> _models.PrivateLinkResourceListResult:
        """Gets the private link resources that need to be created for a Cognitive Services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: PrivateLinkResourceListResult. The PrivateLinkResourceListResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.PrivateLinkResourceListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.PrivateLinkResourceListResult] = kwargs.pop("cls", None)

        _request = build_private_link_resources_list_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.PrivateLinkResourceListResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore


class TestRaiExternalSafetyProviderOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`test_rai_external_safety_provider` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        safety_provider_name: str,
        safety_provider: _models.RaiExternalSafetyProviderSchema,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Test the rai safety provider associated with the subscription.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Required.
        :type safety_provider: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        safety_provider_name: str,
        safety_provider: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Test the rai safety provider associated with the subscription.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Required.
        :type safety_provider: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        safety_provider_name: str,
        safety_provider: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Test the rai safety provider associated with the subscription.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Required.
        :type safety_provider: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        safety_provider_name: str,
        safety_provider: Union[_models.RaiExternalSafetyProviderSchema, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Test the rai safety provider associated with the subscription.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Is one of the
         following types: RaiExternalSafetyProviderSchema, JSON, IO[bytes] Required.
        :type safety_provider: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema or
         JSON or IO[bytes]
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiExternalSafetyProviderSchema] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(safety_provider, (IOBase, bytes)):
            _content = safety_provider
        else:
            _content = json.dumps(safety_provider, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_test_rai_external_safety_provider_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            safety_provider_name=safety_provider_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiExternalSafetyProviderSchema, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore


class RaiExternalSafetyProviderOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_external_safety_provider` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(self, safety_provider_name: str, **kwargs: Any) -> _models.RaiExternalSafetyProviderSchema:
        """Gets the specified external safety provider associated with the Subscription.

        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.RaiExternalSafetyProviderSchema] = kwargs.pop("cls", None)

        _request = build_rai_external_safety_provider_get_request(
            safety_provider_name=safety_provider_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiExternalSafetyProviderSchema, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create_or_update(
        self,
        safety_provider_name: str,
        safety_provider: _models.RaiExternalSafetyProviderSchema,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Create the rai safety provider associated with the subscription.

        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Required.
        :type safety_provider: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self, safety_provider_name: str, safety_provider: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Create the rai safety provider associated with the subscription.

        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Required.
        :type safety_provider: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create_or_update(
        self,
        safety_provider_name: str,
        safety_provider: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Create the rai safety provider associated with the subscription.

        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Required.
        :type safety_provider: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create_or_update(
        self,
        safety_provider_name: str,
        safety_provider: Union[_models.RaiExternalSafetyProviderSchema, JSON, IO[bytes]],
        **kwargs: Any
    ) -> _models.RaiExternalSafetyProviderSchema:
        """Create the rai safety provider associated with the subscription.

        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :param safety_provider: Properties describing the rai external safety provider. Is one of the
         following types: RaiExternalSafetyProviderSchema, JSON, IO[bytes] Required.
        :type safety_provider: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema or
         JSON or IO[bytes]
        :return: RaiExternalSafetyProviderSchema. The RaiExternalSafetyProviderSchema is compatible
         with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.RaiExternalSafetyProviderSchema] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(safety_provider, (IOBase, bytes)):
            _content = safety_provider
        else:
            _content = json.dumps(safety_provider, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_rai_external_safety_provider_create_or_update_request(
            safety_provider_name=safety_provider_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.RaiExternalSafetyProviderSchema, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _delete_initial(self, safety_provider_name: str, **kwargs: Any) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_rai_external_safety_provider_delete_request(
            safety_provider_name=safety_provider_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(self, safety_provider_name: str, **kwargs: Any) -> AsyncLROPoller[None]:
        """Deletes the specified custom topic associated with the subscription.

        :param safety_provider_name: The name of the Rai External Safety Provider associated with the
         Cognitive Services Account. Required.
        :type safety_provider_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                safety_provider_name=safety_provider_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore


class RaiExternalSafetyProvidersOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`rai_external_safety_providers` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, **kwargs: Any) -> AsyncItemPaged["_models.RaiExternalSafetyProviderSchema"]:
        """Gets the safety providers associated with the subscription.

        :return: An iterator like instance of RaiExternalSafetyProviderSchema
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.RaiExternalSafetyProviderSchema]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.RaiExternalSafetyProviderSchema]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_rai_external_safety_providers_list_request(
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.RaiExternalSafetyProviderSchema],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class AccountConnectionsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`account_connections` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, connection_name: str, **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Lists Cognitive Services account connection by name.

        Lists Cognitive Services account connection by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ConnectionPropertiesV2BasicResource] = kwargs.pop("cls", None)

        _request = build_account_connections_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ConnectionPropertiesV2BasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[_models.ConnectionPropertiesV2BasicResource] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services account connection under the specified account.

        Create or update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Default value
         is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[JSON] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services account connection under the specified account.

        Create or update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Default value
         is None.
        :type connection: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[IO[bytes]] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services account connection under the specified account.

        Create or update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Default value
         is None.
        :type connection: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def create(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[Union[_models.ConnectionPropertiesV2BasicResource, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Create or update Cognitive Services account connection under the specified account.

        Create or update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: The object for creating or updating a new account connection. Is one of the
         following types: ConnectionPropertiesV2BasicResource, JSON, IO[bytes] Default value is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource or
         JSON or IO[bytes]
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if connection else None
        cls: ClsType[_models.ConnectionPropertiesV2BasicResource] = kwargs.pop("cls", None)

        content_type = content_type or "application/json" if connection else None
        _content = None
        if isinstance(connection, (IOBase, bytes)):
            _content = connection
        else:
            if connection is not None:
                _content = json.dumps(connection, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
            else:
                _content = None

        _request = build_account_connections_create_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ConnectionPropertiesV2BasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[_models.ConnectionUpdateContent] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services account connection under the specified account.

        Update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Default value is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionUpdateContent
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[JSON] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services account connection under the specified account.

        Update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Default value is None.
        :type connection: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[IO[bytes]] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services account connection under the specified account.

        Update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Default value is None.
        :type connection: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def update(
        self,
        resource_group_name: str,
        account_name: str,
        connection_name: str,
        connection: Optional[Union[_models.ConnectionUpdateContent, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> _models.ConnectionPropertiesV2BasicResource:
        """Update Cognitive Services account connection under the specified account.

        Update Cognitive Services account connection under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :param connection: Parameters for account connection update. Is one of the following types:
         ConnectionUpdateContent, JSON, IO[bytes] Default value is None.
        :type connection: ~azure.mgmt.cognitiveservices.models.ConnectionUpdateContent or JSON or
         IO[bytes]
        :return: ConnectionPropertiesV2BasicResource. The ConnectionPropertiesV2BasicResource is
         compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if connection else None
        cls: ClsType[_models.ConnectionPropertiesV2BasicResource] = kwargs.pop("cls", None)

        content_type = content_type or "application/json" if connection else None
        _content = None
        if isinstance(connection, (IOBase, bytes)):
            _content = connection
        else:
            if connection is not None:
                _content = json.dumps(connection, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
            else:
                _content = None

        _request = build_account_connections_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ConnectionPropertiesV2BasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def delete(self, resource_group_name: str, account_name: str, connection_name: str, **kwargs: Any) -> None:
        """Delete Cognitive Services account connection by name.

        Delete Cognitive Services account connection by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param connection_name: Friendly name of the connection. Required.
        :type connection_name: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_account_connections_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            connection_name=connection_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 204]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore

    @distributed_trace
    def list(
        self,
        resource_group_name: str,
        account_name: str,
        *,
        target: Optional[str] = None,
        category: Optional[str] = None,
        include_all: bool = False,
        **kwargs: Any
    ) -> AsyncItemPaged["_models.ConnectionPropertiesV2BasicResource"]:
        """Lists all the available  Cognitive Services account connections under the specified account.

        Lists all the available  Cognitive Services account connections under the specified account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :keyword target: Target of the connection. Default value is None.
        :paramtype target: str
        :keyword category: Category of the connection. Default value is None.
        :paramtype category: str
        :keyword include_all: query parameter that indicates if get connection call should return both
         connections and datastores. Default value is False.
        :paramtype include_all: bool
        :return: An iterator like instance of ConnectionPropertiesV2BasicResource
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ConnectionPropertiesV2BasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ConnectionPropertiesV2BasicResource]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_account_connections_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    target=target,
                    category=category,
                    include_all=include_all,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ConnectionPropertiesV2BasicResource],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class AccountCapabilityHostsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`account_capability_hosts` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, capability_host_name: str, **kwargs: Any
    ) -> _models.CapabilityHost:
        """Get account capabilityHost.

        Get account capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :return: CapabilityHost. The CapabilityHost is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CapabilityHost
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.CapabilityHost] = kwargs.pop("cls", None)

        _request = build_account_capability_hosts_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            capability_host_name=capability_host_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.CapabilityHost, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        capability_host_name: str,
        capability_host: Union[_models.CapabilityHost, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(capability_host, (IOBase, bytes)):
            _content = capability_host
        else:
            _content = json.dumps(capability_host, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_account_capability_hosts_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            capability_host_name=capability_host_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["x-ms-async-operation-timeout"] = self._deserialize(
                "str", response.headers.get("x-ms-async-operation-timeout")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        capability_host_name: str,
        capability_host: _models.CapabilityHost,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CapabilityHost]:
        """Create or update account capabilityHost.

        Create or update account capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Required.
        :type capability_host: ~azure.mgmt.cognitiveservices.models.CapabilityHost
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CapabilityHost. The CapabilityHost is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        capability_host_name: str,
        capability_host: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CapabilityHost]:
        """Create or update account capabilityHost.

        Create or update account capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Required.
        :type capability_host: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CapabilityHost. The CapabilityHost is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        capability_host_name: str,
        capability_host: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CapabilityHost]:
        """Create or update account capabilityHost.

        Create or update account capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Required.
        :type capability_host: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns CapabilityHost. The CapabilityHost is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        capability_host_name: str,
        capability_host: Union[_models.CapabilityHost, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.CapabilityHost]:
        """Create or update account capabilityHost.

        Create or update account capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :param capability_host: CapabilityHost definition. Is one of the following types:
         CapabilityHost, JSON, IO[bytes] Required.
        :type capability_host: ~azure.mgmt.cognitiveservices.models.CapabilityHost or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns CapabilityHost. The CapabilityHost is
         compatible with MutableMapping
        :rtype: ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.CapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.CapabilityHost] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                capability_host_name=capability_host_name,
                capability_host=capability_host,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.CapabilityHost, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.CapabilityHost].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.CapabilityHost](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, capability_host_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_account_capability_hosts_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            capability_host_name=capability_host_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["x-ms-async-operation-timeout"] = self._deserialize(
                "str", response.headers.get("x-ms-async-operation-timeout")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, capability_host_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Delete account capabilityHost.

        Delete account capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param capability_host_name: The name of the capability host associated with the Cognitive
         Services Resource. Required.
        :type capability_host_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                capability_host_name=capability_host_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.CapabilityHost"]:
        """List capabilityHost.

        List capabilityHost.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of CapabilityHost
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.CapabilityHost]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.CapabilityHost]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_account_capability_hosts_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.CapabilityHost],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class OutboundRuleOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`outbound_rule` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, managed_network_name: str, rule_name: str, **kwargs: Any
    ) -> _models.OutboundRuleBasicResource:
        """The GET API for retrieving a single outbound rule of the managed network associated with the
        cognitive services account.

        The GET API for retrieving a single outbound rule of the managed network associated with the
        cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param rule_name: Name of the cognitive services account managed network outbound rule.
         Required.
        :type rule_name: str
        :return: OutboundRuleBasicResource. The OutboundRuleBasicResource is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.OutboundRuleBasicResource] = kwargs.pop("cls", None)

        _request = build_outbound_rule_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            rule_name=rule_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.OutboundRuleBasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        rule_name: str,
        body: Union[_models.OutboundRuleBasicResource, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_outbound_rule_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            rule_name=rule_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        rule_name: str,
        body: _models.OutboundRuleBasicResource,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.OutboundRuleBasicResource]:
        """The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param rule_name: Name of the cognitive services account managed network outbound rule.
         Required.
        :type rule_name: str
        :param body: Required.
        :type body: ~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns OutboundRuleBasicResource. The
         OutboundRuleBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        rule_name: str,
        body: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.OutboundRuleBasicResource]:
        """The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param rule_name: Name of the cognitive services account managed network outbound rule.
         Required.
        :type rule_name: str
        :param body: Required.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns OutboundRuleBasicResource. The
         OutboundRuleBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        rule_name: str,
        body: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.OutboundRuleBasicResource]:
        """The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param rule_name: Name of the cognitive services account managed network outbound rule.
         Required.
        :type rule_name: str
        :param body: Required.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns OutboundRuleBasicResource. The
         OutboundRuleBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        rule_name: str,
        body: Union[_models.OutboundRuleBasicResource, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.OutboundRuleBasicResource]:
        """The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        The PUT API for creating or updating a single outbound rule of the managed network associated
        with the cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param rule_name: Name of the cognitive services account managed network outbound rule.
         Required.
        :type rule_name: str
        :param body: Is one of the following types: OutboundRuleBasicResource, JSON, IO[bytes]
         Required.
        :type body: ~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns OutboundRuleBasicResource. The
         OutboundRuleBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.OutboundRuleBasicResource] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                rule_name=rule_name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.OutboundRuleBasicResource, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.OutboundRuleBasicResource].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.OutboundRuleBasicResource](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self, resource_group_name: str, account_name: str, managed_network_name: str, rule_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_outbound_rule_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            rule_name=rule_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self, resource_group_name: str, account_name: str, managed_network_name: str, rule_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """The DELETE API for deleting a single outbound rule of the managed network associated with the
        cognitive services account.

        The DELETE API for deleting a single outbound rule of the managed network associated with the
        cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param rule_name: Name of the cognitive services account managed network outbound rule.
         Required.
        :type rule_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                rule_name=rule_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, managed_network_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.OutboundRuleBasicResource"]:
        """The GET API for retrieving the list of outbound rules of the managed network associated with
        the cognitive services account.

        The GET API for retrieving the list of outbound rules of the managed network associated with
        the cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :return: An iterator like instance of OutboundRuleBasicResource
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.OutboundRuleBasicResource]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_outbound_rule_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    managed_network_name=managed_network_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.OutboundRuleBasicResource],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ManagedNetworkSettingsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`managed_network_settings` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self, resource_group_name: str, account_name: str, managed_network_name: str, **kwargs: Any
    ) -> _models.ManagedNetworkSettingsPropertiesBasicResource:
        """Get API for managed network settings of a cognitive services account.

        Get API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :return: ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.ManagedNetworkSettingsPropertiesBasicResource] = kwargs.pop("cls", None)

        _request = build_managed_network_settings_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.ManagedNetworkSettingsPropertiesBasicResource, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _put_initial(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Union[_models.ManagedNetworkSettingsPropertiesBasicResource, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_managed_network_settings_put_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_put(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: _models.ManagedNetworkSettingsPropertiesBasicResource,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """PUT API for managed network settings of a cognitive services account.

        PUT API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Required.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_put(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """PUT API for managed network settings of a cognitive services account.

        PUT API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Required.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_put(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """PUT API for managed network settings of a cognitive services account.

        PUT API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Required.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_put(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Union[_models.ManagedNetworkSettingsPropertiesBasicResource, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """PUT API for managed network settings of a cognitive services account.

        PUT API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Is one of the following types:
         ManagedNetworkSettingsPropertiesBasicResource, JSON, IO[bytes] Required.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource
         or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.ManagedNetworkSettingsPropertiesBasicResource] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._put_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.ManagedNetworkSettingsPropertiesBasicResource, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _patch_initial(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[Union[_models.ManagedNetworkSettingsPropertiesBasicResource, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if body else None
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json" if body else None
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            if body is not None:
                _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
            else:
                _content = None

        _request = build_managed_network_settings_patch_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_patch(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[_models.ManagedNetworkSettingsPropertiesBasicResource] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """Patch API for managed network settings of a cognitive services account.

        Patch API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Default value is None.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_patch(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[JSON] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """Patch API for managed network settings of a cognitive services account.

        Patch API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Default value is None.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_patch(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[IO[bytes]] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """Patch API for managed network settings of a cognitive services account.

        Patch API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Default value is None.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_patch(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[Union[_models.ManagedNetworkSettingsPropertiesBasicResource, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource]:
        """Patch API for managed network settings of a cognitive services account.

        Patch API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Is one of the following types:
         ManagedNetworkSettingsPropertiesBasicResource, JSON, IO[bytes] Default value is None.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource
         or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns
         ManagedNetworkSettingsPropertiesBasicResource. The
         ManagedNetworkSettingsPropertiesBasicResource is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if body else None
        cls: ClsType[_models.ManagedNetworkSettingsPropertiesBasicResource] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._patch_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.ManagedNetworkSettingsPropertiesBasicResource, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.ManagedNetworkSettingsPropertiesBasicResource](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    @api_version_validation(
        method_added_on="2026-01-15-preview",
        params_added_on={
            "2026-01-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "managed_network_name",
            ]
        },
        api_versions_list=["2026-01-15-preview", "2026-03-01", "2026-03-15-preview"],
    )
    async def _delete_initial(
        self, resource_group_name: str, account_name: str, managed_network_name: str, **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_managed_network_settings_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    @api_version_validation(
        method_added_on="2026-01-15-preview",
        params_added_on={
            "2026-01-15-preview": [
                "api_version",
                "subscription_id",
                "resource_group_name",
                "account_name",
                "managed_network_name",
            ]
        },
        api_versions_list=["2026-01-15-preview", "2026-03-01", "2026-03-15-preview"],
    )
    async def begin_delete(
        self, resource_group_name: str, account_name: str, managed_network_name: str, **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Delete API for managed network settings of a cognitive services account.

        Delete API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self, resource_group_name: str, account_name: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.ManagedNetworkSettingsPropertiesBasicResource"]:
        """List API for managed network settings of a cognitive services account.

        List API for managed network settings of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :return: An iterator like instance of ManagedNetworkSettingsPropertiesBasicResource
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsPropertiesBasicResource]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ManagedNetworkSettingsPropertiesBasicResource]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_managed_network_settings_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ManagedNetworkSettingsPropertiesBasicResource],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class OutboundRulesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`outbound_rules` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    async def _post_initial(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Union[_models.ManagedNetworkSettingsBasicResource, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_outbound_rules_post_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_post(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: _models.ManagedNetworkSettingsBasicResource,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[AsyncItemPaged["_models.OutboundRuleBasicResource"]]:
        """The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Required.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsBasicResource
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of LROPoller that returns an iterator like instance of list of
         OutboundRuleBasicResource
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_post(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[AsyncItemPaged["_models.OutboundRuleBasicResource"]]:
        """The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Required.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of LROPoller that returns an iterator like instance of list of
         OutboundRuleBasicResource
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_post(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[AsyncItemPaged["_models.OutboundRuleBasicResource"]]:
        """The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Required.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of LROPoller that returns an iterator like instance of list of
         OutboundRuleBasicResource
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_post(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Union[_models.ManagedNetworkSettingsBasicResource, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[AsyncItemPaged["_models.OutboundRuleBasicResource"]]:
        """The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        The POST API for updating the outbound rules of the managed network associated with the
        cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: The Managed Network Settings object of the account. Is one of the following types:
         ManagedNetworkSettingsBasicResource, JSON, IO[bytes] Required.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkSettingsBasicResource or JSON or
         IO[bytes]
        :return: An instance of LROPoller that returns an iterator like instance of list of
         OutboundRuleBasicResource
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.OutboundRuleBasicResource]]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[List[_models.OutboundRuleBasicResource]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})
        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_outbound_rules_post_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    managed_network_name=managed_network_name,
                    subscription_id=self._config.subscription_id,
                    content_type=content_type,
                    api_version=self._config.api_version,
                    content=_content,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.OutboundRuleBasicResource],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._post_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            async def internal_get_next(next_link=None):
                if next_link is None:
                    return pipeline_response
                return await get_next(next_link)

            return AsyncItemPaged(internal_get_next, extract_data)

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[AsyncItemPaged["_models.OutboundRuleBasicResource"]].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[AsyncItemPaged["_models.OutboundRuleBasicResource"]](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )


class ManagedNetworkProvisionsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`managed_network_provisions` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    async def _provision_managed_network_initial(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[Union[_models.ManagedNetworkProvisionOptions, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if body else None
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json" if body else None
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            if body is not None:
                _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore
            else:
                _content = None

        _request = build_managed_network_provisions_provision_managed_network_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            managed_network_name=managed_network_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 202]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_provision_managed_network(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[_models.ManagedNetworkProvisionOptions] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkProvisionStatus]:
        """Provisions the managed network of a cognitive services account.

        Provisions the managed network of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: Managed Network Provisioning Options for a cognitive services account. Default
         value is None.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkProvisionOptions
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedNetworkProvisionStatus. The
         ManagedNetworkProvisionStatus is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkProvisionStatus]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_provision_managed_network(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[JSON] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkProvisionStatus]:
        """Provisions the managed network of a cognitive services account.

        Provisions the managed network of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: Managed Network Provisioning Options for a cognitive services account. Default
         value is None.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedNetworkProvisionStatus. The
         ManagedNetworkProvisionStatus is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkProvisionStatus]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_provision_managed_network(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[IO[bytes]] = None,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkProvisionStatus]:
        """Provisions the managed network of a cognitive services account.

        Provisions the managed network of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: Managed Network Provisioning Options for a cognitive services account. Default
         value is None.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns ManagedNetworkProvisionStatus. The
         ManagedNetworkProvisionStatus is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkProvisionStatus]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_provision_managed_network(
        self,
        resource_group_name: str,
        account_name: str,
        managed_network_name: str,
        body: Optional[Union[_models.ManagedNetworkProvisionOptions, JSON, IO[bytes]]] = None,
        **kwargs: Any
    ) -> AsyncLROPoller[_models.ManagedNetworkProvisionStatus]:
        """Provisions the managed network of a cognitive services account.

        Provisions the managed network of a cognitive services account.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param managed_network_name: Name of the managedNetwork associated with the cognitive services
         account. Only 'default' is supported. Required.
        :type managed_network_name: str
        :param body: Managed Network Provisioning Options for a cognitive services account. Is one of
         the following types: ManagedNetworkProvisionOptions, JSON, IO[bytes] Default value is None.
        :type body: ~azure.mgmt.cognitiveservices.models.ManagedNetworkProvisionOptions or JSON or
         IO[bytes]
        :return: An instance of AsyncLROPoller that returns ManagedNetworkProvisionStatus. The
         ManagedNetworkProvisionStatus is compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.ManagedNetworkProvisionStatus]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        content_type = content_type if body else None
        cls: ClsType[_models.ManagedNetworkProvisionStatus] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._provision_managed_network_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                managed_network_name=managed_network_name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response_headers = {}
            response = pipeline_response.http_response
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

            deserialized = _deserialize(_models.ManagedNetworkProvisionStatus, response.json())
            if cls:
                return cls(pipeline_response, deserialized, response_headers)  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.ManagedNetworkProvisionStatus].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.ManagedNetworkProvisionStatus](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )


class AgentDeploymentsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`agent_deployments` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace_async
    async def get(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        **kwargs: Any
    ) -> _models.AgentDeployment:
        """Gets an Agent Deployment by name.

        Gets an Agent Deployment by name.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: AgentDeployment. The AgentDeployment is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.AgentDeployment
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[_models.AgentDeployment] = kwargs.pop("cls", None)

        _request = build_agent_deployments_get_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            app_name=app_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.AgentDeployment, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    async def _create_or_update_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        body: Union[_models.AgentDeployment, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(body, (IOBase, bytes)):
            _content = body
        else:
            _content = json.dumps(body, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_agent_deployments_create_or_update_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            app_name=app_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200, 201]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 201:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Azure-AsyncOperation"] = self._deserialize(
                "str", response.headers.get("Azure-AsyncOperation")
            )
            response_headers["x-ms-async-operation-timeout"] = self._deserialize(
                "str", response.headers.get("x-ms-async-operation-timeout")
            )

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        body: _models.AgentDeployment,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentDeployment]:
        """Creates or updates an Agent Deployment (asynchronous).

        Creates or updates an Agent Deployment (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param body: Agent Deployment definition object. Required.
        :type body: ~azure.mgmt.cognitiveservices.models.AgentDeployment
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns AgentDeployment. The AgentDeployment is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        body: JSON,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentDeployment]:
        """Creates or updates an Agent Deployment (asynchronous).

        Creates or updates an Agent Deployment (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param body: Agent Deployment definition object. Required.
        :type body: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns AgentDeployment. The AgentDeployment is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        body: IO[bytes],
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentDeployment]:
        """Creates or updates an Agent Deployment (asynchronous).

        Creates or updates an Agent Deployment (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param body: Agent Deployment definition object. Required.
        :type body: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: An instance of AsyncLROPoller that returns AgentDeployment. The AgentDeployment is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def begin_create_or_update(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        body: Union[_models.AgentDeployment, JSON, IO[bytes]],
        **kwargs: Any
    ) -> AsyncLROPoller[_models.AgentDeployment]:
        """Creates or updates an Agent Deployment (asynchronous).

        Creates or updates an Agent Deployment (asynchronous).

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :param body: Agent Deployment definition object. Is one of the following types:
         AgentDeployment, JSON, IO[bytes] Required.
        :type body: ~azure.mgmt.cognitiveservices.models.AgentDeployment or JSON or IO[bytes]
        :return: An instance of AsyncLROPoller that returns AgentDeployment. The AgentDeployment is
         compatible with MutableMapping
        :rtype:
         ~azure.core.polling.AsyncLROPoller[~azure.mgmt.cognitiveservices.models.AgentDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.AgentDeployment] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._create_or_update_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                app_name=app_name,
                deployment_name=deployment_name,
                body=body,
                content_type=content_type,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):
            response = pipeline_response.http_response
            deserialized = _deserialize(_models.AgentDeployment, response.json())
            if cls:
                return cls(pipeline_response, deserialized, {})  # type: ignore
            return deserialized

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[_models.AgentDeployment].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[_models.AgentDeployment](
            self._client, raw_result, get_long_running_output, polling_method  # type: ignore
        )

    async def _delete_initial(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        **kwargs: Any
    ) -> AsyncIterator[bytes]:
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[AsyncIterator[bytes]] = kwargs.pop("cls", None)

        _request = build_agent_deployments_delete_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            app_name=app_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = True
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [202, 204]:
            try:
                await response.read()  # Load the body in memory and close the socket
            except (StreamConsumedError, StreamClosedError):
                pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        response_headers = {}
        if response.status_code == 202:
            response_headers["location"] = self._deserialize("str", response.headers.get("location"))
            response_headers["Retry-After"] = self._deserialize("int", response.headers.get("Retry-After"))

        deserialized = response.iter_bytes() if _decompress else response.iter_raw()

        if cls:
            return cls(pipeline_response, deserialized, response_headers)  # type: ignore

        return deserialized  # type: ignore

    @distributed_trace_async
    async def begin_delete(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        **kwargs: Any
    ) -> AsyncLROPoller[None]:
        """Delete Agent Deployment.

        Delete Agent Deployment.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: An instance of AsyncLROPoller that returns None
        :rtype: ~azure.core.polling.AsyncLROPoller[None]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)
        polling: Union[bool, AsyncPollingMethod] = kwargs.pop("polling", True)
        lro_delay = kwargs.pop("polling_interval", self._config.polling_interval)
        cont_token: Optional[str] = kwargs.pop("continuation_token", None)
        if cont_token is None:
            raw_result = await self._delete_initial(
                resource_group_name=resource_group_name,
                account_name=account_name,
                project_name=project_name,
                app_name=app_name,
                deployment_name=deployment_name,
                cls=lambda x, y, z: x,
                headers=_headers,
                params=_params,
                **kwargs
            )
            await raw_result.http_response.read()  # type: ignore
        kwargs.pop("error_map", None)

        def get_long_running_output(pipeline_response):  # pylint: disable=inconsistent-return-statements
            if cls:
                return cls(pipeline_response, None, {})  # type: ignore

        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }

        if polling is True:
            polling_method: AsyncPollingMethod = cast(
                AsyncPollingMethod, AsyncARMPolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
            )
        elif polling is False:
            polling_method = cast(AsyncPollingMethod, AsyncNoPolling())
        else:
            polling_method = polling
        if cont_token:
            return AsyncLROPoller[None].from_continuation_token(
                polling_method=polling_method,
                continuation_token=cont_token,
                client=self._client,
                deserialization_callback=get_long_running_output,
            )
        return AsyncLROPoller[None](self._client, raw_result, get_long_running_output, polling_method)  # type: ignore

    @distributed_trace
    def list(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        *,
        count: int = 30,
        skip_token: Optional[str] = None,
        names: Optional[List[str]] = None,
        order_by: Optional[str] = None,
        order_by_asc: bool = False,
        **kwargs: Any
    ) -> AsyncItemPaged["_models.AgentDeployment"]:
        """Lists Agent Deployments in the application.

        Lists Agent Deployments in the application.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :keyword count: Number of agent deployments to be retrieved in a page of results. Default value
         is 30.
        :paramtype count: int
        :keyword skip_token: Continuation token for pagination. Default value is None.
        :paramtype skip_token: str
        :keyword names: Names of agent deployments to retrieve. Default value is None.
        :paramtype names: list[str]
        :keyword order_by: Field to order by. Default value is None.
        :paramtype order_by: str
        :keyword order_by_asc: Whether to order in ascending order. Default value is False.
        :paramtype order_by_asc: bool
        :return: An iterator like instance of AgentDeployment
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.AgentDeployment]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.AgentDeployment]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_agent_deployments_list_request(
                    resource_group_name=resource_group_name,
                    account_name=account_name,
                    project_name=project_name,
                    app_name=app_name,
                    subscription_id=self._config.subscription_id,
                    count=count,
                    skip_token=skip_token,
                    names=names,
                    order_by=order_by,
                    order_by_asc=order_by_asc,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.AgentDeployment],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)

    @distributed_trace_async
    async def start(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        **kwargs: Any
    ) -> None:
        """Starts an Agent Deployment.

        Starts an Agent Deployment.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_agent_deployments_start_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            app_name=app_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **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)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore

    @distributed_trace_async
    async def stop(
        self,
        resource_group_name: str,
        account_name: str,
        project_name: str,
        app_name: str,
        deployment_name: str,
        **kwargs: Any
    ) -> None:
        """Stops an Agent Deployment.

        Stops an Agent Deployment.

        :param resource_group_name: The name of the resource group. The name is case insensitive.
         Required.
        :type resource_group_name: str
        :param account_name: The name of Cognitive Services account. Required.
        :type account_name: str
        :param project_name: The name of Cognitive Services account's project. Required.
        :type project_name: str
        :param app_name: The name of the application associated with the Cognitive Services Account.
         Required.
        :type app_name: str
        :param deployment_name: The name of the deployment associated with the Cognitive Services
         Account. Required.
        :type deployment_name: str
        :return: None
        :rtype: None
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[None] = kwargs.pop("cls", None)

        _request = build_agent_deployments_stop_request(
            resource_group_name=resource_group_name,
            account_name=account_name,
            project_name=project_name,
            app_name=app_name,
            deployment_name=deployment_name,
            subscription_id=self._config.subscription_id,
            api_version=self._config.api_version,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _stream = False
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
            _request, stream=_stream, **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)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if cls:
            return cls(pipeline_response, None, {})  # type: ignore


class ResourceSkusOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`resource_skus` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, **kwargs: Any) -> AsyncItemPaged["_models.ResourceSku"]:
        """Gets the list of Microsoft.CognitiveServices SKUs available for your Subscription.

        :return: An iterator like instance of ResourceSku
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ResourceSku]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ResourceSku]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_resource_skus_list_request(
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ResourceSku],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class UsagesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`usages` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, location: str, *, filter: Optional[str] = None, **kwargs: Any) -> AsyncItemPaged["_models.Usage"]:
        """Get usages for the requested subscription.

        :param location: The location name. Required.
        :type location: str
        :keyword filter: An OData filter expression that describes a subset of usages to return. The
         supported parameter is name.value (name of the metric, can have an or of multiple names).
         Default value is None.
        :paramtype filter: str
        :return: An iterator like instance of Usage
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Usage]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Usage]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_usages_list_request(
                    location=location,
                    subscription_id=self._config.subscription_id,
                    filter=filter,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Usage],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class CommitmentTiersOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`commitment_tiers` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, location: str, **kwargs: Any) -> AsyncItemPaged["_models.CommitmentTier"]:
        """List Commitment Tiers.

        :param location: The location name. Required.
        :type location: str
        :return: An iterator like instance of CommitmentTier
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.CommitmentTier]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.CommitmentTier]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_commitment_tiers_list_request(
                    location=location,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.CommitmentTier],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ModelsOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`models` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(self, location: str, **kwargs: Any) -> AsyncItemPaged["_models.Model"]:
        """List Models.

        :param location: The location name. Required.
        :type location: str
        :return: An iterator like instance of Model
        :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.Model]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.Model]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_models_list_request(
                    location=location,
                    subscription_id=self._config.subscription_id,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.Model],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class LocationBasedModelCapacitiesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`location_based_model_capacities` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(
        self, location: str, *, model_format: str, model_name: str, model_version: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.ModelCapacityListResultValueItem"]:
        """List Location Based ModelCapacities.

        :param location: The location name. Required.
        :type location: str
        :keyword model_format: The format of the Model. Required.
        :paramtype model_format: str
        :keyword model_name: The name of the Model. Required.
        :paramtype model_name: str
        :keyword model_version: The version of the Model. Required.
        :paramtype model_version: str
        :return: An iterator like instance of ModelCapacityListResultValueItem
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ModelCapacityListResultValueItem]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ModelCapacityListResultValueItem]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_location_based_model_capacities_list_request(
                    location=location,
                    subscription_id=self._config.subscription_id,
                    model_format=model_format,
                    model_name=model_name,
                    model_version=model_version,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ModelCapacityListResultValueItem],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class ModelCapacitiesOperations:
    """
    .. warning::
        **DO NOT** instantiate this class directly.

        Instead, you should access the following operations through
        :class:`~azure.mgmt.cognitiveservices.aio.CognitiveServicesManagementClient`'s
        :attr:`model_capacities` attribute.
    """

    def __init__(self, *args, **kwargs) -> None:
        input_args = list(args)
        self._client: AsyncPipelineClient = input_args.pop(0) if input_args else kwargs.pop("client")
        self._config: CognitiveServicesManagementClientConfiguration = (
            input_args.pop(0) if input_args else kwargs.pop("config")
        )
        self._serialize: Serializer = input_args.pop(0) if input_args else kwargs.pop("serializer")
        self._deserialize: Deserializer = input_args.pop(0) if input_args else kwargs.pop("deserializer")

    @distributed_trace
    def list(
        self, *, model_format: str, model_name: str, model_version: str, **kwargs: Any
    ) -> AsyncItemPaged["_models.ModelCapacityListResultValueItem"]:
        """List ModelCapacities.

        :keyword model_format: The format of the Model. Required.
        :paramtype model_format: str
        :keyword model_name: The name of the Model. Required.
        :paramtype model_name: str
        :keyword model_version: The version of the Model. Required.
        :paramtype model_version: str
        :return: An iterator like instance of ModelCapacityListResultValueItem
        :rtype:
         ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.cognitiveservices.models.ModelCapacityListResultValueItem]
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        _headers = kwargs.pop("headers", {}) or {}
        _params = kwargs.pop("params", {}) or {}

        cls: ClsType[List[_models.ModelCapacityListResultValueItem]] = kwargs.pop("cls", None)

        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        def prepare_request(next_link=None):
            if not next_link:

                _request = build_model_capacities_list_request(
                    subscription_id=self._config.subscription_id,
                    model_format=model_format,
                    model_name=model_name,
                    model_version=model_version,
                    api_version=self._config.api_version,
                    headers=_headers,
                    params=_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            else:
                # make call to next link with the client's api-version
                _parsed_next_link = urllib.parse.urlparse(next_link)
                _next_request_params = case_insensitive_dict(
                    {
                        key: [urllib.parse.quote(v) for v in value]
                        for key, value in urllib.parse.parse_qs(_parsed_next_link.query).items()
                    }
                )
                _next_request_params["api-version"] = self._config.api_version
                _request = HttpRequest(
                    "GET",
                    urllib.parse.urljoin(next_link, _parsed_next_link.path),
                    headers=_headers,
                    params=_next_request_params,
                )
                path_format_arguments = {
                    "endpoint": self._serialize.url(
                        "self._config.base_url", self._config.base_url, "str", skip_quote=True
                    ),
                }
                _request.url = self._client.format_url(_request.url, **path_format_arguments)

            return _request

        async def extract_data(pipeline_response):
            deserialized = pipeline_response.http_response.json()
            list_of_elem = _deserialize(
                List[_models.ModelCapacityListResultValueItem],
                deserialized.get("value", []),
            )
            if cls:
                list_of_elem = cls(list_of_elem)  # type: ignore
            return deserialized.get("nextLink") or None, AsyncList(list_of_elem)

        async def get_next(next_link=None):
            _request = prepare_request(next_link)

            _stream = False
            pipeline_response: PipelineResponse = await self._client._pipeline.run(  # pylint: disable=protected-access
                _request, stream=_stream, **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)
                error = _failsafe_deserialize(
                    _models.ErrorResponse,
                    response,
                )
                raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

            return pipeline_response

        return AsyncItemPaged(get_next, extract_data)


class _CognitiveServicesManagementClientOperationsMixin(
    ClientMixinABC[AsyncPipelineClient[HttpRequest, AsyncHttpResponse], CognitiveServicesManagementClientConfiguration]
):

    @overload
    async def check_sku_availability(
        self,
        location: str,
        parameters: _models.CheckSkuAvailabilityParameter,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.SkuAvailabilityListResult:
        """Check available SKUs.

        :param location: The location name. Required.
        :type location: str
        :param parameters: The request body. Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.CheckSkuAvailabilityParameter
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: SkuAvailabilityListResult. The SkuAvailabilityListResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.SkuAvailabilityListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def check_sku_availability(
        self, location: str, parameters: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.SkuAvailabilityListResult:
        """Check available SKUs.

        :param location: The location name. Required.
        :type location: str
        :param parameters: The request body. Required.
        :type parameters: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: SkuAvailabilityListResult. The SkuAvailabilityListResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.SkuAvailabilityListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def check_sku_availability(
        self, location: str, parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.SkuAvailabilityListResult:
        """Check available SKUs.

        :param location: The location name. Required.
        :type location: str
        :param parameters: The request body. Required.
        :type parameters: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: SkuAvailabilityListResult. The SkuAvailabilityListResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.SkuAvailabilityListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def check_sku_availability(
        self, location: str, parameters: Union[_models.CheckSkuAvailabilityParameter, JSON, IO[bytes]], **kwargs: Any
    ) -> _models.SkuAvailabilityListResult:
        """Check available SKUs.

        :param location: The location name. Required.
        :type location: str
        :param parameters: The request body. Is one of the following types:
         CheckSkuAvailabilityParameter, JSON, IO[bytes] Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.CheckSkuAvailabilityParameter or JSON or
         IO[bytes]
        :return: SkuAvailabilityListResult. The SkuAvailabilityListResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.SkuAvailabilityListResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.SkuAvailabilityListResult] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(parameters, (IOBase, bytes)):
            _content = parameters
        else:
            _content = json.dumps(parameters, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_cognitive_services_management_check_sku_availability_request(
            location=location,
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # type: ignore # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.SkuAvailabilityListResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def check_domain_availability(
        self,
        parameters: _models.CheckDomainAvailabilityParameter,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.DomainAvailability:
        """Check whether a domain is available.

        :param parameters: The request body. Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.CheckDomainAvailabilityParameter
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DomainAvailability. The DomainAvailability is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DomainAvailability
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def check_domain_availability(
        self, parameters: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.DomainAvailability:
        """Check whether a domain is available.

        :param parameters: The request body. Required.
        :type parameters: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DomainAvailability. The DomainAvailability is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DomainAvailability
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def check_domain_availability(
        self, parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.DomainAvailability:
        """Check whether a domain is available.

        :param parameters: The request body. Required.
        :type parameters: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: DomainAvailability. The DomainAvailability is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DomainAvailability
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def check_domain_availability(
        self, parameters: Union[_models.CheckDomainAvailabilityParameter, JSON, IO[bytes]], **kwargs: Any
    ) -> _models.DomainAvailability:
        """Check whether a domain is available.

        :param parameters: The request body. Is one of the following types:
         CheckDomainAvailabilityParameter, JSON, IO[bytes] Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.CheckDomainAvailabilityParameter or JSON
         or IO[bytes]
        :return: DomainAvailability. The DomainAvailability is compatible with MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.DomainAvailability
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.DomainAvailability] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(parameters, (IOBase, bytes)):
            _content = parameters
        else:
            _content = json.dumps(parameters, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_cognitive_services_management_check_domain_availability_request(
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # type: ignore # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.DomainAvailability, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore

    @overload
    async def calculate_model_capacity(
        self,
        parameters: _models.CalculateModelCapacityParameter,
        *,
        content_type: str = "application/json",
        **kwargs: Any
    ) -> _models.CalculateModelCapacityResult:
        """Model capacity calculator.

        :param parameters: The request body. Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.CalculateModelCapacityParameter
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: CalculateModelCapacityResult. The CalculateModelCapacityResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CalculateModelCapacityResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def calculate_model_capacity(
        self, parameters: JSON, *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.CalculateModelCapacityResult:
        """Model capacity calculator.

        :param parameters: The request body. Required.
        :type parameters: JSON
        :keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: CalculateModelCapacityResult. The CalculateModelCapacityResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CalculateModelCapacityResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @overload
    async def calculate_model_capacity(
        self, parameters: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
    ) -> _models.CalculateModelCapacityResult:
        """Model capacity calculator.

        :param parameters: The request body. Required.
        :type parameters: IO[bytes]
        :keyword content_type: Body Parameter content-type. Content type parameter for binary body.
         Default value is "application/json".
        :paramtype content_type: str
        :return: CalculateModelCapacityResult. The CalculateModelCapacityResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CalculateModelCapacityResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """

    @distributed_trace_async
    async def calculate_model_capacity(
        self, parameters: Union[_models.CalculateModelCapacityParameter, JSON, IO[bytes]], **kwargs: Any
    ) -> _models.CalculateModelCapacityResult:
        """Model capacity calculator.

        :param parameters: The request body. Is one of the following types:
         CalculateModelCapacityParameter, JSON, IO[bytes] Required.
        :type parameters: ~azure.mgmt.cognitiveservices.models.CalculateModelCapacityParameter or JSON
         or IO[bytes]
        :return: CalculateModelCapacityResult. The CalculateModelCapacityResult is compatible with
         MutableMapping
        :rtype: ~azure.mgmt.cognitiveservices.models.CalculateModelCapacityResult
        :raises ~azure.core.exceptions.HttpResponseError:
        """
        error_map: MutableMapping = {
            401: ClientAuthenticationError,
            404: ResourceNotFoundError,
            409: ResourceExistsError,
            304: ResourceNotModifiedError,
        }
        error_map.update(kwargs.pop("error_map", {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = kwargs.pop("params", {}) or {}

        content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
        cls: ClsType[_models.CalculateModelCapacityResult] = kwargs.pop("cls", None)

        content_type = content_type or "application/json"
        _content = None
        if isinstance(parameters, (IOBase, bytes)):
            _content = parameters
        else:
            _content = json.dumps(parameters, cls=SdkJSONEncoder, exclude_readonly=True)  # type: ignore

        _request = build_cognitive_services_management_calculate_model_capacity_request(
            subscription_id=self._config.subscription_id,
            content_type=content_type,
            api_version=self._config.api_version,
            content=_content,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "endpoint": self._serialize.url("self._config.base_url", self._config.base_url, "str", skip_quote=True),
        }
        _request.url = self._client.format_url(_request.url, **path_format_arguments)

        _decompress = kwargs.pop("decompress", True)
        _stream = kwargs.pop("stream", False)
        pipeline_response: PipelineResponse = await self._client._pipeline.run(  # type: ignore # pylint: disable=protected-access
            _request, stream=_stream, **kwargs
        )

        response = pipeline_response.http_response

        if response.status_code not in [200]:
            if _stream:
                try:
                    await response.read()  # Load the body in memory and close the socket
                except (StreamConsumedError, StreamClosedError):
                    pass
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = _failsafe_deserialize(
                _models.ErrorResponse,
                response,
            )
            raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)

        if _stream:
            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
        else:
            deserialized = _deserialize(_models.CalculateModelCapacityResult, response.json())

        if cls:
            return cls(pipeline_response, deserialized, {})  # type: ignore

        return deserialized  # type: ignore
