File: //lib/mysqlsh/lib/python3.8/site-packages/oci/generative_ai_inference/models/token_likelihood.py
# coding: utf-8
# Copyright (c) 2016, 2025, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
# NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20231130
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class TokenLikelihood(object):
"""
An object that contains the returned token and its corresponding likelihood.
"""
def __init__(self, **kwargs):
"""
Initializes a new TokenLikelihood object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param token:
The value to assign to the token property of this TokenLikelihood.
:type token: str
:param likelihood:
The value to assign to the likelihood property of this TokenLikelihood.
:type likelihood: float
"""
self.swagger_types = {
'token': 'str',
'likelihood': 'float'
}
self.attribute_map = {
'token': 'token',
'likelihood': 'likelihood'
}
self._token = None
self._likelihood = None
@property
def token(self):
"""
Gets the token of this TokenLikelihood.
A word, part of a word, or a punctuation.
For example, apple is a token and friendship is made up of two tokens, friend and ship. When you run a model, you can set the maximum number of output tokens. Estimate three tokens per word.
:return: The token of this TokenLikelihood.
:rtype: str
"""
return self._token
@token.setter
def token(self, token):
"""
Sets the token of this TokenLikelihood.
A word, part of a word, or a punctuation.
For example, apple is a token and friendship is made up of two tokens, friend and ship. When you run a model, you can set the maximum number of output tokens. Estimate three tokens per word.
:param token: The token of this TokenLikelihood.
:type: str
"""
self._token = token
@property
def likelihood(self):
"""
Gets the likelihood of this TokenLikelihood.
The likelihood of this token during generation.
:return: The likelihood of this TokenLikelihood.
:rtype: float
"""
return self._likelihood
@likelihood.setter
def likelihood(self, likelihood):
"""
Sets the likelihood of this TokenLikelihood.
The likelihood of this token during generation.
:param likelihood: The likelihood of this TokenLikelihood.
:type: float
"""
self._likelihood = likelihood
def __repr__(self):
return formatted_flat_dict(self)
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
return not self == other