chore: import upstream snapshot with attribution
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from dataclasses import dataclass
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from ray.air.config import (
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CheckpointConfig as _CheckpointConfig,
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FailureConfig as _FailureConfig,
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RunConfig as _RunConfig,
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)
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from ray.train.constants import (
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V2_MIGRATION_GUIDE_MESSAGE,
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_v2_migration_warnings_enabled,
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)
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from ray.train.utils import _copy_doc, _log_deprecation_warning
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# NOTE: This is just a pass-through wrapper around `ray.tune.RunConfig`
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# in order to detect whether the import module was correct (e.g. `ray.tune.RunConfig`).
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@dataclass
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@_copy_doc(_CheckpointConfig)
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class CheckpointConfig(_CheckpointConfig):
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pass
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@dataclass
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@_copy_doc(_FailureConfig)
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class FailureConfig(_FailureConfig):
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pass
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@dataclass
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@_copy_doc(_RunConfig)
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class RunConfig(_RunConfig):
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def __post_init__(self):
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self.checkpoint_config = self.checkpoint_config or CheckpointConfig()
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self.failure_config = self.failure_config or FailureConfig()
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super().__post_init__()
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if not isinstance(self.checkpoint_config, CheckpointConfig):
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if _v2_migration_warnings_enabled():
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_log_deprecation_warning(
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"The `CheckpointConfig` class should be imported from `ray.tune` "
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"when passing it to the Tuner. Please update your imports."
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f"{V2_MIGRATION_GUIDE_MESSAGE}"
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)
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if not isinstance(self.failure_config, FailureConfig):
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if _v2_migration_warnings_enabled():
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_log_deprecation_warning(
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"The `FailureConfig` class should be imported from `ray.tune` "
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"when passing it to the Tuner. Please update your imports."
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f"{V2_MIGRATION_GUIDE_MESSAGE}"
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)
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