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# Copyright 2024 The ML Collections Authors.
#
# 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.
r"""Example of basic DEFINE_config_dataclass usage.
To run this example:
python define_config_dataclass_basic.py -- --my_config.field1=8 \
--my_config.nested.field=2.1 --my_config.tuple='(1, 2, (1, 2))'
"""
import dataclasses
from typing import Any, Mapping, Sequence
from absl import app
from ml_collections import config_flags
@dataclasses.dataclass
class MyConfig:
field1: int
field2: str
nested: Mapping[str, Any]
tuple: Sequence[int]
config = MyConfig(
field1=1,
field2='tom',
nested={'field': 2.23},
tuple=(1, 2, 3),
)
_CONFIG = config_flags.DEFINE_config_dataclass('my_config', config)
def main(_):
print(_CONFIG.value)
if __name__ == '__main__':
app.run(main)
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