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# coding: utf-8 # Copyright (c) 2016, 2026, 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 EmbedTextResult(object): """ The generated embedded result to return. """ def __init__(self, **kwargs): """ 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 embeddings_by_type: The value to assign to the embeddings_by_type property of this EmbedTextResult. :type embeddings_by_type: object :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 :param usage: The value to assign to the usage property of this EmbedTextResult. :type usage: oci.generative_ai_inference.models.Usage """ self.swagger_types = { 'id': 'str', 'inputs': 'list[str]', 'embeddings': 'list[list[float]]', 'embeddings_by_type': 'object', 'model_id': 'str', 'model_version': 'str', 'usage': 'Usage' } self.attribute_map = { 'id': 'id', 'inputs': 'inputs', 'embeddings': 'embeddings', 'embeddings_by_type': 'embeddingsByType', 'model_id': 'modelId', 'model_version': 'modelVersion', 'usage': 'usage' } self._id = None self._inputs = None self._embeddings = None self._embeddings_by_type = None self._model_id = None self._model_version = None self._usage = None @property def id(self): """ **[Required]** Gets the id of this EmbedTextResult. A unique identifier for the generated result. :return: The id of this EmbedTextResult. :rtype: str """ return self._id @id.setter def id(self, id): """ Sets the id of this EmbedTextResult. A unique identifier for the generated result. :param id: The id of this EmbedTextResult. :type: str """ self._id = id @property def inputs(self): """ Gets the inputs of this EmbedTextResult. The original inputs. Only present if \"isEcho\" is set to true. :return: The inputs of this EmbedTextResult. :rtype: list[str] """ return self._inputs @inputs.setter def inputs(self, inputs): """ Sets the inputs of this EmbedTextResult. The original inputs. Only present if \"isEcho\" is set to true. :param inputs: The inputs of this EmbedTextResult. :type: list[str] """ self._inputs = inputs @property def embeddings(self): """ **[Required]** Gets the embeddings of this EmbedTextResult. The embeddings corresponding to float. :return: The embeddings of this EmbedTextResult. :rtype: list[list[float]] """ return self._embeddings @embeddings.setter def embeddings(self, embeddings): """ Sets the embeddings of this EmbedTextResult. The embeddings corresponding to float. :param embeddings: The embeddings of this EmbedTextResult. :type: list[list[float]] """ self._embeddings = embeddings @property def embeddings_by_type(self): """ Gets the embeddings_by_type of this EmbedTextResult. The embeddings corresponding to embedding types input. :return: The embeddings_by_type of this EmbedTextResult. :rtype: object """ return self._embeddings_by_type @embeddings_by_type.setter def embeddings_by_type(self, embeddings_by_type): """ Sets the embeddings_by_type of this EmbedTextResult. The embeddings corresponding to embedding types input. :param embeddings_by_type: The embeddings_by_type of this EmbedTextResult. :type: object """ self._embeddings_by_type = embeddings_by_type @property def model_id(self): """ Gets the model_id of this EmbedTextResult. The OCID of the model used in this inference request. :return: The model_id of this EmbedTextResult. :rtype: str """ return self._model_id @model_id.setter def model_id(self, model_id): """ Sets the model_id of this EmbedTextResult. The OCID of the model used in this inference request. :param model_id: The model_id of this EmbedTextResult. :type: str """ self._model_id = model_id @property def model_version(self): """ Gets the model_version of this EmbedTextResult. The version of the model. :return: The model_version of this EmbedTextResult. :rtype: str """ return self._model_version @model_version.setter def model_version(self, model_version): """ Sets the model_version of this EmbedTextResult. The version of the model. :param model_version: The model_version of this EmbedTextResult. :type: str """ self._model_version = model_version @property def usage(self): """ Gets the usage of this EmbedTextResult. :return: The usage of this EmbedTextResult. :rtype: oci.generative_ai_inference.models.Usage """ return self._usage @usage.setter def usage(self, usage): """ Sets the usage of this EmbedTextResult. :param usage: The usage of this EmbedTextResult. :type: oci.generative_ai_inference.models.Usage """ self._usage = usage 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
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