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✏️ Mengedit: batch_detect_language_sentiments_details.cpython-39.pyc
a ���fm � @ 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 @ s~ e Zd ZdZdd� Zedd� �Zejdd� �Zedd� �Zejd d� �Zed d� �Z e jdd� �Z d d� Z dd� Zdd� ZdS )�$BatchDetectLanguageSentimentsDetailsz3 The documents details for sentiment call. c K s2 dddd�| _ dddd�| _d| _d| _d| _dS )a� Initializes a new BatchDetectLanguageSentimentsDetails object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param endpoint_id: The value to assign to the endpoint_id property of this BatchDetectLanguageSentimentsDetails. :type endpoint_id: str :param compartment_id: The value to assign to the compartment_id property of this BatchDetectLanguageSentimentsDetails. :type compartment_id: str :param documents: The value to assign to the documents property of this BatchDetectLanguageSentimentsDetails. :type documents: list[oci.ai_language.models.TextDocument] �strzlist[TextDocument])�endpoint_id�compartment_id� documentsZ endpointIdZ compartmentIdr N)Z swagger_typesZ attribute_map�_endpoint_id�_compartment_id� _documents)�self�kwargs� r �c/usr/lib/python3.9/site-packages/oci/ai_language/models/batch_detect_language_sentiments_details.py�__init__ s ��z-BatchDetectLanguageSentimentsDetails.__init__c C s | j S )at Gets the endpoint_id of this BatchDetectLanguageSentimentsDetails. The endpoint which have to be used for inferencing. If endpointId and compartmentId is provided, then inference will be served from custom model which is mapped to this Endpoint. :return: The endpoint_id of this BatchDetectLanguageSentimentsDetails. :rtype: str �r �r r r r r 4 s z0BatchDetectLanguageSentimentsDetails.endpoint_idc C s || _ dS )a~ Sets the endpoint_id of this BatchDetectLanguageSentimentsDetails. The endpoint which have to be used for inferencing. If endpointId and compartmentId is provided, then inference will be served from custom model which is mapped to this Endpoint. :param endpoint_id: The endpoint_id of this BatchDetectLanguageSentimentsDetails. :type: str Nr )r r r r r r @ s c C s | j S )a~ Gets the compartment_id of this BatchDetectLanguageSentimentsDetails. The `OCID`__ of the compartment that calls the API, inference will be served from pre trained model __ https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm :return: The compartment_id of this BatchDetectLanguageSentimentsDetails. :rtype: str �r r r r r r L s z3BatchDetectLanguageSentimentsDetails.compartment_idc C s || _ dS )a� Sets the compartment_id of this BatchDetectLanguageSentimentsDetails. The `OCID`__ of the compartment that calls the API, inference will be served from pre trained model __ https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm :param compartment_id: The compartment_id of this BatchDetectLanguageSentimentsDetails. :type: str Nr )r r r r r r Z s c C s | j S )a **[Required]** Gets the documents of this BatchDetectLanguageSentimentsDetails. List of Documents for detect sentiments. :return: The documents of this BatchDetectLanguageSentimentsDetails. :rtype: list[oci.ai_language.models.TextDocument] �r r r r r r h s z.BatchDetectLanguageSentimentsDetails.documentsc C s || _ dS )a Sets the documents of this BatchDetectLanguageSentimentsDetails. List of Documents for detect sentiments. :param documents: The documents of this BatchDetectLanguageSentimentsDetails. :type: list[oci.ai_language.models.TextDocument] Nr )r r r r r r t s c C s t | �S �N)r r r r r �__repr__� s z-BatchDetectLanguageSentimentsDetails.__repr__c C s |d u rdS | j |j kS )NF)�__dict__�r �otherr r r �__eq__� s z+BatchDetectLanguageSentimentsDetails.__eq__c C s | |k S r r r r r r �__ne__� s z+BatchDetectLanguageSentimentsDetails.__ne__N) �__name__� __module__�__qualname__�__doc__r �propertyr �setterr r r r r r r r r r s"