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# coding: utf-8 # Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20221001 from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class DetectLanguageTextClassificationResult(object): """ Result of text classification detect call. """ def __init__(self, **kwargs): """ Initializes a new DetectLanguageTextClassificationResult object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param text_classification: The value to assign to the text_classification property of this DetectLanguageTextClassificationResult. :type text_classification: list[oci.ai_language.models.TextClassification] """ self.swagger_types = { 'text_classification': 'list[TextClassification]' } self.attribute_map = { 'text_classification': 'textClassification' } self._text_classification = None @property def text_classification(self): """ **[Required]** Gets the text_classification of this DetectLanguageTextClassificationResult. List of detected text classes. :return: The text_classification of this DetectLanguageTextClassificationResult. :rtype: list[oci.ai_language.models.TextClassification] """ return self._text_classification @text_classification.setter def text_classification(self, text_classification): """ Sets the text_classification of this DetectLanguageTextClassificationResult. List of detected text classes. :param text_classification: The text_classification of this DetectLanguageTextClassificationResult. :type: list[oci.ai_language.models.TextClassification] """ self._text_classification = text_classification def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other
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