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Edit: logprobs.py
# coding: utf-8 # Copyright (c) 2016, 2024, 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 Logprobs(object): """ 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. """ def __init__(self, **kwargs): """ 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)] """ self.swagger_types = { 'text_offset': 'list[int]', 'token_logprobs': 'list[float]', 'tokens': 'list[str]', 'top_logprobs': 'list[dict(str, str)]' } self.attribute_map = { 'text_offset': 'textOffset', 'token_logprobs': 'tokenLogprobs', 'tokens': 'tokens', 'top_logprobs': 'topLogprobs' } self._text_offset = None self._token_logprobs = None self._tokens = None self._top_logprobs = None @property def text_offset(self): """ Gets the text_offset of this Logprobs. The text offset. :return: The text_offset of this Logprobs. :rtype: list[int] """ return self._text_offset @text_offset.setter def text_offset(self, text_offset): """ Sets the text_offset of this Logprobs. The text offset. :param text_offset: The text_offset of this Logprobs. :type: list[int] """ self._text_offset = text_offset @property def token_logprobs(self): """ Gets the token_logprobs of this Logprobs. The logarithmic probabilites of the output token. :return: The token_logprobs of this Logprobs. :rtype: list[float] """ return self._token_logprobs @token_logprobs.setter def token_logprobs(self, token_logprobs): """ 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] """ self._token_logprobs = token_logprobs @property def tokens(self): """ Gets the tokens of this Logprobs. The list of output tokens. :return: The tokens of this Logprobs. :rtype: list[str] """ return self._tokens @tokens.setter def tokens(self, tokens): """ Sets the tokens of this Logprobs. The list of output tokens. :param tokens: The tokens of this Logprobs. :type: list[str] """ self._tokens = tokens @property def top_logprobs(self): """ 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)] """ return self._top_logprobs @top_logprobs.setter def top_logprobs(self, top_logprobs): """ 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)] """ self._top_logprobs = top_logprobs 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