Source code for kfp_server_api.models.experiment_storage_state

# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# coding: utf-8

"""
    Kubeflow Pipelines API

    This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.

    Contact: kubeflow-pipelines@google.com
    Generated by: https://openapi-generator.tech
"""


import pprint
import re  # noqa: F401

import six

from kfp_server_api.configuration import Configuration


[docs]class ExperimentStorageState(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ allowed enum values """ UNSPECIFIED = "STORAGESTATE_UNSPECIFIED" AVAILABLE = "STORAGESTATE_AVAILABLE" ARCHIVED = "STORAGESTATE_ARCHIVED" allowable_values = [UNSPECIFIED, AVAILABLE, ARCHIVED] # noqa: E501 """ Attributes: openapi_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. """ openapi_types = { } attribute_map = { } def __init__(self, local_vars_configuration=None): # noqa: E501 """ExperimentStorageState - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration() self.local_vars_configuration = local_vars_configuration self.discriminator = None
[docs] def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_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 return result
[docs] 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, ExperimentStorageState): 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, ExperimentStorageState): return True return self.to_dict() != other.to_dict()