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a ���fo � @ 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 jd d � �Z ed d� �Z e jdd� �Z dd� Z dd� Z dd� Z dS )�LogprobsaC Includes the logarithmic probabilities for the most likely output tokens and the chosen tokens. For example, if the log probability is 5, the API returns a list of the 5 most likely tokens. The API returns the log probability of the sampled token, so there might be up to logprobs+1 elements in the response. c K s< ddddd�| _ dddd d�| _d | _d | _d | _d | _d S ) a Initializes a new Logprobs object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param text_offset: The value to assign to the text_offset property of this Logprobs. :type text_offset: list[int] :param token_logprobs: The value to assign to the token_logprobs property of this Logprobs. :type token_logprobs: list[float] :param tokens: The value to assign to the tokens property of this Logprobs. :type tokens: list[str] :param top_logprobs: The value to assign to the top_logprobs property of this Logprobs. :type top_logprobs: list[dict(str, str)] z list[int]z list[float]z list[str]zlist[dict(str, str)])� text_offset�token_logprobs�tokens� top_logprobsZ textOffsetZ tokenLogprobsr Z topLogprobsN)Z swagger_typesZ attribute_map� _text_offset�_token_logprobs�_tokens� _top_logprobs)�self�kwargs� r �O/usr/lib/python3.9/site-packages/oci/generative_ai_inference/models/logprobs.py�__init__ s ��zLogprobs.__init__c C s | j S )z� Gets the text_offset of this Logprobs. The text offset. :return: The text_offset of this Logprobs. :rtype: list[int] �r �r r r r r = s zLogprobs.text_offsetc C s || _ dS )z� Sets the text_offset of this Logprobs. The text offset. :param text_offset: The text_offset of this Logprobs. :type: list[int] Nr )r r r r r r I s c C s | j S )z� Gets the token_logprobs of this Logprobs. The logarithmic probabilites of the output token. :return: The token_logprobs of this Logprobs. :rtype: list[float] �r r r r r r U s zLogprobs.token_logprobsc C s || _ dS )z� Sets the token_logprobs of this Logprobs. The logarithmic probabilites of the output token. :param token_logprobs: The token_logprobs of this Logprobs. :type: list[float] Nr )r r r r r r a s c C s | j S )z� Gets the tokens of this Logprobs. The list of output tokens. :return: The tokens of this Logprobs. :rtype: list[str] �r r r r r r m s zLogprobs.tokensc C s || _ dS )z� Sets the tokens of this Logprobs. The list of output tokens. :param tokens: The tokens of this Logprobs. :type: list[str] Nr )r r r r r r y s c C s | j S )z� Gets the top_logprobs of this Logprobs. The logarithmic probabilities of each of the top k tokens. :return: The top_logprobs of this Logprobs. :rtype: list[dict(str, str)] �r r r r r r � s zLogprobs.top_logprobsc C s || _ dS )z� Sets the top_logprobs of this Logprobs. The logarithmic probabilities of each of the top k tokens. :param top_logprobs: The top_logprobs of this Logprobs. :type: list[dict(str, str)] Nr )r r r r r r � s c C s t | �S �N)r r r r r �__repr__� s zLogprobs.__repr__c C s |d u r dS | j |j kS )NF)�__dict__�r �otherr r r �__eq__� s zLogprobs.__eq__c C s | |k S r r r r r r �__ne__� s zLogprobs.__ne__N)�__name__� __module__� __qualname__�__doc__r �propertyr �setterr r r r r r r r r r r s* ) r N)Zoci.utilr r r Zoci.decoratorsr �objectr r r r r �<module> s
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