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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 @ s^ e Zd ZdZdZdZdd� Zedd� �Ze dd � �Z e j d d � �Z d d � Z d d� Z dd� ZdS )� ModelMetricsz; Model metrics during the creation of a new model. � TEXT_GENERATION_MODEL_METRICS�CHAT_MODEL_METRICSc K s ddi| _ ddi| _d| _dS )a� Initializes a new ModelMetrics 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.generative_ai.models.TextGenerationModelMetrics` * :class:`~oci.generative_ai.models.ChatModelMetrics` The following keyword arguments are supported (corresponding to the getters/setters of this class): :param model_metrics_type: The value to assign to the model_metrics_type property of this ModelMetrics. Allowed values for this property are: "TEXT_GENERATION_MODEL_METRICS", "CHAT_MODEL_METRICS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :type model_metrics_type: str �model_metrics_type�str�modelMetricsTypeN)Z swagger_typesZ attribute_map�_model_metrics_type)�self�kwargs� r �J/usr/lib/python3.9/site-packages/oci/generative_ai/models/model_metrics.py�__init__ s ��zModelMetrics.__init__c C s( | d }|dkrdS |dkr dS dS dS )z� Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype. r r ZTextGenerationModelMetricsr ZChatModelMetricsr Nr )Zobject_dictionary�typer r r � get_subtype5 s zModelMetrics.get_subtypec C s | j S )a� **[Required]** Gets the model_metrics_type of this ModelMetrics. The type of the model metrics. Each type of model can expect a different set of model metrics. Allowed values for this property are: "TEXT_GENERATION_MODEL_METRICS", "CHAT_MODEL_METRICS", 'UNKNOWN_ENUM_VALUE'. Any unrecognized values returned by a service will be mapped to 'UNKNOWN_ENUM_VALUE'. :return: The model_metrics_type of this ModelMetrics. :rtype: str )r �r r r r r E s z ModelMetrics.model_metrics_typec C s ddg}t ||�sd}|| _dS )a Sets the model_metrics_type of this ModelMetrics. The type of the model metrics. Each type of model can expect a different set of model metrics. :param model_metrics_type: The model_metrics_type of this ModelMetrics. :type: str r r ZUNKNOWN_ENUM_VALUEN)r r )r r Zallowed_valuesr r r r T s c C s t | �S �N)r r r r r �__repr__c s zModelMetrics.__repr__c C s |d u r dS | j |j kS )NF)�__dict__�r �otherr r r �__eq__f s zModelMetrics.__eq__c C s | |k S r r r r r r �__ne__l s zModelMetrics.__ne__N)�__name__� __module__� __qualname__�__doc__Z0MODEL_METRICS_TYPE_TEXT_GENERATION_MODEL_METRICSZ%MODEL_METRICS_TYPE_CHAT_MODEL_METRICSr � staticmethodr �propertyr �setterr 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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