text: # coding=utf-8
  # --------------------------------------------------------------------------
  # Copyright (c) Microsoft Corporation. All rights reserved.
  # Licensed under the MIT License. See License.txt in the project root for
  # license information.
  #
  # Code generated by Microsoft (R) AutoRest Code Generator.
  # Changes may cause incorrect behavior and will be lost if the code is
  # regenerated.
  # --------------------------------------------------------------------------
  
  from azure.core import AsyncPipelineClient
  from msrest import Serializer, Deserializer
  
  from azure.profiles import KnownProfiles, ProfileDefinition
  from azure.profiles.multiapiclient import MultiApiClientMixin
  from ._configuration import TextAnalyticsClientConfiguration
  from ._operations_mixin import TextAnalyticsClientOperationsMixin
  class _SDKClient(object):
      def __init__(self, *args, **kwargs):
          """This is a fake class to support current implemetation of MultiApiClientMixin."
          Will be removed in final version of multiapi azure-core based client
          """
          pass
  
  class TextAnalyticsClient(TextAnalyticsClientOperationsMixin, MultiApiClientMixin, _SDKClient):
      """The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.
  
      This ready contains multiple API versions, to help you deal with all of the Azure clouds
      (Azure Stack, Azure Government, Azure China, etc.).
      By default, it uses the latest API version available on public Azure.
      For production, you should stick to a particular api-version and/or profile.
      The profile sets a mapping between an operation group and its API version.
      The api-version parameter sets the default API version if the operation
      group is not described in the profile.
  
      :param credential: Credential needed for the client to connect to Azure.
      :type credential: ~azure.core.credentials_async.AsyncTokenCredential
      :param endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: https://westus.api.cognitive.microsoft.com).
      :type endpoint: str
      :param str api_version: API version to use if no profile is provided, or if
       missing in profile.
      :param profile: A profile definition, from KnownProfiles to dict.
      :type profile: azure.profiles.KnownProfiles
      :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
      """
  
      DEFAULT_API_VERSION = 'v3.0'
      _PROFILE_TAG = "azure.ai.textanalytics.TextAnalyticsClient"
      LATEST_PROFILE = ProfileDefinition({
          _PROFILE_TAG: {
              None: DEFAULT_API_VERSION,
          }},
          _PROFILE_TAG + " latest"
      )
  
      def __init__(
          self,
          credential,  # type: "AsyncTokenCredential"
          endpoint,  # type: str
          api_version=None,
          profile=KnownProfiles.default,
          **kwargs  # type: Any
      ) -> None:
          if api_version == 'v3.0':
              base_url = '{Endpoint}/text/analytics/v3.0'
          elif api_version == 'v3.1-preview.2':
              base_url = '{Endpoint}/text/analytics/v3.1-preview.2'
          elif api_version == 'v3.1-preview.3':
              base_url = '{Endpoint}/text/analytics/v3.1-preview.3'
          else:
              raise ValueError("API version {} is not available".format(api_version))
          self._config = TextAnalyticsClientConfiguration(credential, endpoint, **kwargs)
          self._client = AsyncPipelineClient(base_url=base_url, config=self._config, **kwargs)
          super(TextAnalyticsClient, self).__init__(
              api_version=api_version,
              profile=profile
          )
  
      @classmethod
      def _models_dict(cls, api_version):
          return {k: v for k, v in cls.models(api_version).__dict__.items() if isinstance(v, type)}
  
      @classmethod
      def models(cls, api_version=DEFAULT_API_VERSION):
          """Module depends on the API version:
  
             * v3.0: :mod:`v3_0.models<azure.ai.textanalytics.v3_0.models>`
             * v3.1-preview.2: :mod:`v3_1_preview_2.models<azure.ai.textanalytics.v3_1_preview_2.models>`
             * v3.1-preview.3: :mod:`v3_1_preview_3.models<azure.ai.textanalytics.v3_1_preview_3.models>`
          """
          if api_version == 'v3.0':
              from ..v3_0 import models
              return models
          elif api_version == 'v3.1-preview.2':
              from ..v3_1_preview_2 import models
              return models
          elif api_version == 'v3.1-preview.3':
              from ..v3_1_preview_3 import models
              return models
          raise ValueError("API version {} is not available".format(api_version))
  
      async def close(self):
          await self._client.close()
      async def __aenter__(self):
          await self._client.__aenter__()
          return self
      async def __aexit__(self, *exc_details):
          await self._client.__aexit__(*exc_details)
  