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update pii description to use personal information
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SDK Automation committed Oct 25, 2019
1 parent a020509 commit cc0931b
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# regenerated.
# --------------------------------------------------------------------------

from .text_analytics_client import TextAnalyticsClient
from .version import VERSION
from ._configuration import TextAnalyticsClientConfiguration
from ._text_analytics_client import TextAnalyticsClient
__all__ = ['TextAnalyticsClient', 'TextAnalyticsClientConfiguration']

__all__ = ['TextAnalyticsClient']
from .version import VERSION

__version__ = VERSION

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

from msrest import Configuration

from .version import VERSION


class TextAnalyticsClientConfiguration(Configuration):
"""Configuration for TextAnalyticsClient
Note that all parameters used to create this instance are saved as instance
attributes.
:param endpoint: Supported Cognitive Services endpoints (protocol and
hostname, for example: https://westus.api.cognitive.microsoft.com).
:type endpoint: str
:param credentials: Subscription credentials which uniquely identify
client subscription.
:type credentials: None
"""

def __init__(
self, endpoint, credentials):

if endpoint is None:
raise ValueError("Parameter 'endpoint' must not be None.")
if credentials is None:
raise ValueError("Parameter 'credentials' must not be None.")
base_url = '{Endpoint}/text/analytics/v2.1'

super(TextAnalyticsClientConfiguration, self).__init__(base_url)

# Starting Autorest.Python 4.0.64, make connection pool activated by default
self.keep_alive = True

self.add_user_agent('azure-cognitiveservices-language-textanalytics/{}'.format(VERSION))

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

from msrest.service_client import SDKClient
from msrest import Serializer, Deserializer

from ._configuration import TextAnalyticsClientConfiguration
from .operations import TextAnalyticsClientOperationsMixin
from msrest.exceptions import HttpOperationError
from . import models


class TextAnalyticsClient(TextAnalyticsClientOperationsMixin, 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
:ivar config: Configuration for client.
:vartype config: TextAnalyticsClientConfiguration
:param endpoint: Supported Cognitive Services endpoints (protocol and
hostname, for example: https://westus.api.cognitive.microsoft.com).
:type endpoint: str
:param credentials: Subscription credentials which uniquely identify
client subscription.
:type credentials: None
"""

def __init__(
self, endpoint, credentials):

self.config = TextAnalyticsClientConfiguration(endpoint, credentials)
super(TextAnalyticsClient, self).__init__(self.config.credentials, self.config)

client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
self.api_version = 'v2.1'
self._serialize = Serializer(client_models)
self._deserialize = Deserializer(client_models)

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# --------------------------------------------------------------------------

try:
from .multi_language_input_py3 import MultiLanguageInput
from .multi_language_batch_input_py3 import MultiLanguageBatchInput
from .match_record_py3 import MatchRecord
from .entity_record_py3 import EntityRecord
from .document_statistics_py3 import DocumentStatistics
from .entities_batch_result_item_py3 import EntitiesBatchResultItem
from .error_record_py3 import ErrorRecord
from .request_statistics_py3 import RequestStatistics
from .entities_batch_result_py3 import EntitiesBatchResult
from .internal_error_py3 import InternalError
from .error_response_py3 import ErrorResponse, ErrorResponseException
from .key_phrase_batch_result_item_py3 import KeyPhraseBatchResultItem
from .key_phrase_batch_result_py3 import KeyPhraseBatchResult
from .language_input_py3 import LanguageInput
from .language_batch_input_py3 import LanguageBatchInput
from .detected_language_py3 import DetectedLanguage
from .language_batch_result_item_py3 import LanguageBatchResultItem
from .language_batch_result_py3 import LanguageBatchResult
from .sentiment_batch_result_item_py3 import SentimentBatchResultItem
from .sentiment_batch_result_py3 import SentimentBatchResult
from ._models_py3 import DetectedLanguage
from ._models_py3 import DocumentStatistics
from ._models_py3 import EntitiesBatchResult
from ._models_py3 import EntitiesBatchResultItem
from ._models_py3 import EntityRecord
from ._models_py3 import ErrorRecord
from ._models_py3 import ErrorResponse, ErrorResponseException
from ._models_py3 import InternalError
from ._models_py3 import KeyPhraseBatchResult
from ._models_py3 import KeyPhraseBatchResultItem
from ._models_py3 import LanguageBatchInput
from ._models_py3 import LanguageBatchResult
from ._models_py3 import LanguageBatchResultItem
from ._models_py3 import LanguageInput
from ._models_py3 import MatchRecord
from ._models_py3 import MultiLanguageBatchInput
from ._models_py3 import MultiLanguageInput
from ._models_py3 import RequestStatistics
from ._models_py3 import SentimentBatchResult
from ._models_py3 import SentimentBatchResultItem
except (SyntaxError, ImportError):
from .multi_language_input import MultiLanguageInput
from .multi_language_batch_input import MultiLanguageBatchInput
from .match_record import MatchRecord
from .entity_record import EntityRecord
from .document_statistics import DocumentStatistics
from .entities_batch_result_item import EntitiesBatchResultItem
from .error_record import ErrorRecord
from .request_statistics import RequestStatistics
from .entities_batch_result import EntitiesBatchResult
from .internal_error import InternalError
from .error_response import ErrorResponse, ErrorResponseException
from .key_phrase_batch_result_item import KeyPhraseBatchResultItem
from .key_phrase_batch_result import KeyPhraseBatchResult
from .language_input import LanguageInput
from .language_batch_input import LanguageBatchInput
from .detected_language import DetectedLanguage
from .language_batch_result_item import LanguageBatchResultItem
from .language_batch_result import LanguageBatchResult
from .sentiment_batch_result_item import SentimentBatchResultItem
from .sentiment_batch_result import SentimentBatchResult
from ._models import DetectedLanguage
from ._models import DocumentStatistics
from ._models import EntitiesBatchResult
from ._models import EntitiesBatchResultItem
from ._models import EntityRecord
from ._models import ErrorRecord
from ._models import ErrorResponse, ErrorResponseException
from ._models import InternalError
from ._models import KeyPhraseBatchResult
from ._models import KeyPhraseBatchResultItem
from ._models import LanguageBatchInput
from ._models import LanguageBatchResult
from ._models import LanguageBatchResultItem
from ._models import LanguageInput
from ._models import MatchRecord
from ._models import MultiLanguageBatchInput
from ._models import MultiLanguageInput
from ._models import RequestStatistics
from ._models import SentimentBatchResult
from ._models import SentimentBatchResultItem

__all__ = [
'MultiLanguageInput',
'MultiLanguageBatchInput',
'MatchRecord',
'EntityRecord',
'DetectedLanguage',
'DocumentStatistics',
'EntitiesBatchResult',
'EntitiesBatchResultItem',
'EntityRecord',
'ErrorRecord',
'RequestStatistics',
'EntitiesBatchResult',
'InternalError',
'ErrorResponse', 'ErrorResponseException',
'KeyPhraseBatchResultItem',
'InternalError',
'KeyPhraseBatchResult',
'LanguageInput',
'KeyPhraseBatchResultItem',
'LanguageBatchInput',
'DetectedLanguage',
'LanguageBatchResultItem',
'LanguageBatchResult',
'SentimentBatchResultItem',
'LanguageBatchResultItem',
'LanguageInput',
'MatchRecord',
'MultiLanguageBatchInput',
'MultiLanguageInput',
'RequestStatistics',
'SentimentBatchResult',
'SentimentBatchResultItem',
]
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