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# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# 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
# limitations under the License.
"""Config class that supports oneof functionality."""
from typing import Optional
import dataclasses
from official.modeling.hyperparams import base_config
@dataclasses.dataclass
class OneOfConfig(base_config.Config):
"""Configuration for configs with one of feature.
Attributes:
type: 'str', name of the field to select.
"""
type: Optional[str] = None
def as_dict(self):
"""Returns a dict representation of OneOfConfig.
For the nested base_config.Config, a nested dict will be returned.
"""
if self.type is None:
return {'type': None}
elif self.__dict__['type'] not in self.__dict__:
raise ValueError('type: {!r} is not a valid key!'.format(
self.__dict__['type']))
else:
chosen_type = self.type
chosen_value = self.__dict__[chosen_type]
return {'type': self.type, chosen_type: self._export_config(chosen_value)}
def get(self):
"""Returns selected config based on the value of type.
If type is not set (None), None is returned.
"""
chosen_type = self.type
if chosen_type is None:
return None
if chosen_type not in self.__dict__:
raise ValueError('type: {!r} is not a valid key!'.format(self.type))
return self.__dict__[chosen_type]
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