# coding: utf-8 """ ark No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: common-version Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six from volcenginesdkcore.configuration import Configuration class GetModelCustomizationJobMetricDataRequest(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'from_step': 'int', 'max_metric_point': 'str', 'metrics': 'list[str]', 'min_sample_step': 'str', 'model_customization_job_id': 'str', 'to_step': 'int' } attribute_map = { 'from_step': 'FromStep', 'max_metric_point': 'MaxMetricPoint', 'metrics': 'Metrics', 'min_sample_step': 'MinSampleStep', 'model_customization_job_id': 'ModelCustomizationJobId', 'to_step': 'ToStep' } def __init__(self, from_step=None, max_metric_point=None, metrics=None, min_sample_step=None, model_customization_job_id=None, to_step=None, _configuration=None): # noqa: E501 """GetModelCustomizationJobMetricDataRequest - a model defined in Swagger""" # noqa: E501 if _configuration is None: _configuration = Configuration() self._configuration = _configuration self._from_step = None self._max_metric_point = None self._metrics = None self._min_sample_step = None self._model_customization_job_id = None self._to_step = None self.discriminator = None self.from_step = from_step if max_metric_point is not None: self.max_metric_point = max_metric_point if metrics is not None: self.metrics = metrics if min_sample_step is not None: self.min_sample_step = min_sample_step self.model_customization_job_id = model_customization_job_id self.to_step = to_step @property def from_step(self): """Gets the from_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :return: The from_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :rtype: int """ return self._from_step @from_step.setter def from_step(self, from_step): """Sets the from_step of this GetModelCustomizationJobMetricDataRequest. :param from_step: The from_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :type: int """ if self._configuration.client_side_validation and from_step is None: raise ValueError("Invalid value for `from_step`, must not be `None`") # noqa: E501 self._from_step = from_step @property def max_metric_point(self): """Gets the max_metric_point of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :return: The max_metric_point of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :rtype: str """ return self._max_metric_point @max_metric_point.setter def max_metric_point(self, max_metric_point): """Sets the max_metric_point of this GetModelCustomizationJobMetricDataRequest. :param max_metric_point: The max_metric_point of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :type: str """ self._max_metric_point = max_metric_point @property def metrics(self): """Gets the metrics of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :return: The metrics of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :rtype: list[str] """ return self._metrics @metrics.setter def metrics(self, metrics): """Sets the metrics of this GetModelCustomizationJobMetricDataRequest. :param metrics: The metrics of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :type: list[str] """ self._metrics = metrics @property def min_sample_step(self): """Gets the min_sample_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :return: The min_sample_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :rtype: str """ return self._min_sample_step @min_sample_step.setter def min_sample_step(self, min_sample_step): """Sets the min_sample_step of this GetModelCustomizationJobMetricDataRequest. :param min_sample_step: The min_sample_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :type: str """ self._min_sample_step = min_sample_step @property def model_customization_job_id(self): """Gets the model_customization_job_id of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :return: The model_customization_job_id of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :rtype: str """ return self._model_customization_job_id @model_customization_job_id.setter def model_customization_job_id(self, model_customization_job_id): """Sets the model_customization_job_id of this GetModelCustomizationJobMetricDataRequest. :param model_customization_job_id: The model_customization_job_id of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :type: str """ if self._configuration.client_side_validation and model_customization_job_id is None: raise ValueError("Invalid value for `model_customization_job_id`, must not be `None`") # noqa: E501 self._model_customization_job_id = model_customization_job_id @property def to_step(self): """Gets the to_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :return: The to_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :rtype: int """ return self._to_step @to_step.setter def to_step(self, to_step): """Sets the to_step of this GetModelCustomizationJobMetricDataRequest. :param to_step: The to_step of this GetModelCustomizationJobMetricDataRequest. # noqa: E501 :type: int """ if self._configuration.client_side_validation and to_step is None: raise ValueError("Invalid value for `to_step`, must not be `None`") # noqa: E501 self._to_step = to_step def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(GetModelCustomizationJobMetricDataRequest, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, GetModelCustomizationJobMetricDataRequest): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, GetModelCustomizationJobMetricDataRequest): return True return self.to_dict() != other.to_dict()