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✏️ Mengedit: document_feature.cpython-39.pyc
a ���f� � @ s8 d dl mZmZmZ d dlmZ eG dd� de��ZdS )� )�formatted_flat_dict� NONE_SENTINEL�#value_allowed_none_or_none_sentinel)�init_model_state_from_kwargsc @ sj e Zd ZdZdZdZdZdZdZdd� Z e d d � �Zedd� �Z e jd d� �Z dd� Zdd� Zdd� ZdS )�DocumentFeaturez( The type of document analysis. �LANGUAGE_CLASSIFICATION�TEXT_EXTRACTION�TABLE_EXTRACTION�KEY_VALUE_EXTRACTION�DOCUMENT_CLASSIFICATIONc K s ddi| _ ddi| _d| _dS )a� Initializes a new DocumentFeature object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class: * :class:`~oci.ai_document.models.DocumentClassificationFeature` * :class:`~oci.ai_document.models.DocumentKeyValueExtractionFeature` * :class:`~oci.ai_document.models.DocumentLanguageClassificationFeature` * :class:`~oci.ai_document.models.DocumentTextExtractionFeature` * :class:`~oci.ai_document.models.DocumentTableExtractionFeature` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param feature_type: The value to assign to the feature_type property of this DocumentFeature. Allowed values for this property are: "LANGUAGE_CLASSIFICATION", "TEXT_EXTRACTION", "TABLE_EXTRACTION", "KEY_VALUE_EXTRACTION", "DOCUMENT_CLASSIFICATION", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type feature_type: str �feature_type�str�featureTypeN)Z swagger_typesZ attribute_map� _feature_type)�self�kwargs� r �K/usr/lib/python3.9/site-packages/oci/ai_document/models/document_feature.py�__init__&