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oci
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generative_ai_inference
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models
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✏️ Mengedit: embed_text_result.cpython-39.pyc
a ���fX � @ 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 ed d� �Z e jdd� �Z edd� �Zejdd� �Zdd� Zdd� Z dd� ZdS )�EmbedTextResultz2 The generated embedded result to return. c K sF dddddd�| _ ddddd d�| _d | _d | _d | _d | _d | _d S )a� Initializes a new EmbedTextResult object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param id: The value to assign to the id property of this EmbedTextResult. :type id: str :param inputs: The value to assign to the inputs property of this EmbedTextResult. :type inputs: list[str] :param embeddings: The value to assign to the embeddings property of this EmbedTextResult. :type embeddings: list[list[float]] :param model_id: The value to assign to the model_id property of this EmbedTextResult. :type model_id: str :param model_version: The value to assign to the model_version property of this EmbedTextResult. :type model_version: str �strz list[str]zlist[list[float]])�id�inputs� embeddings�model_id� model_versionr r r ZmodelIdZmodelVersionN)Z swagger_typesZ attribute_map�_id�_inputs�_embeddings� _model_id�_model_version)�self�kwargs� r �X/usr/lib/python3.9/site-packages/oci/generative_ai_inference/models/embed_text_result.py�__init__ s"