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# Copyright The Lightning AI team.
#
# 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.
import re
from lightning_fabric.utilities.exceptions import MisconfigurationException # noqa: F401
class SIGTERMException(SystemExit):
"""Exception used when a :class:`signal.SIGTERM` is sent to a process.
This exception is raised by the loops at specific points. It can be used to write custom logic in the
:meth:`pytorch_lightning.callbacks.callback.Callback.on_exception` method.
For example, you could use the :class:`pytorch_lightning.callbacks.fault_tolerance.OnExceptionCheckpoint` callback
that saves a checkpoint for you when this exception is raised.
"""
class _TunerExitException(Exception):
"""Exception used to exit early while tuning."""
def _augment_message(exception: BaseException, pattern: str, new_message: str) -> None:
exception.args = tuple(
new_message if isinstance(arg, str) and re.match(pattern, arg, re.DOTALL) else arg for arg in exception.args
)
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