
    &`i                         d dl Z d dlmZ d dlmZ d dlmZmZ d dlm	Z	 d dl
Zd dlmZ d dl
mZ d dlmZmZ  ed	
           G d de                      Ze G d d                      ZdS )    N)contextmanager)Path)DictOptional)Booster)RayReportCallback)
Checkpoint)
Deprecated	PublicAPIbeta)	stabilityc                   Z    e Zd ZdZededee         fd            Zde	defdZ
de	fdZdS )	TuneReportCheckpointCallbacka  Creates a callback that reports metrics and checkpoints model.

    Args:
        metrics: Metrics to report. If this is a list,
            each item should be a metric key reported by LightGBM,
            and it will be reported to Ray Train/Tune under the same name.
            This can also be a dict of {<key-to-report>: <lightgbm-metric-key>},
            which can be used to rename LightGBM default metrics.
        filename: Customize the saved checkpoint file type by passing
            a filename. Defaults to "model.txt".
        frequency: How often to save checkpoints, in terms of iterations.
            Defaults to 0 (no checkpoints are saved during training).
        checkpoint_at_end: Whether or not to save a checkpoint at the end of training.
        results_postprocessing_fn: An optional Callable that takes in
            the metrics dict that will be reported (after it has been flattened)
            and returns a modified dict.

    Examples
    --------

    Reporting checkpoints and metrics to Ray Tune when running many
    independent LightGBM trials (without data parallelism within a trial).

    .. testcode::
        :skipif: True

        import lightgbm

        from ray.tune.integration.lightgbm import TuneReportCheckpointCallback

        config = {
            # ...
            "metric": ["binary_logloss", "binary_error"],
        }

        # Report only log loss to Tune after each validation epoch.
        bst = lightgbm.train(
            ...,
            callbacks=[
                TuneReportCheckpointCallback(
                    metrics={"loss": "eval-binary_logloss"}, frequency=1
                )
            ],
        )

    modelreturnc              #     K   t          j                    5 }|                    t          || j                                                             t          j        |          V  d d d            d S # 1 swxY w Y   d S N)tempfileTemporaryDirectory
save_modelr   	_filenameas_posixr	   from_directory)selfr   temp_checkpoint_dirs      q/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/tune/integration/lightgbm.py_get_checkpointz,TuneReportCheckpointCallback._get_checkpoint?   s      (** 	A.AT"5t~FFOOQQRRR+,?@@@@@	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	A 	As   AA44A8;A8report_dictc                     |                      |          5 }t          j                            ||           d d d            d S # 1 swxY w Y   d S )N)r   )
checkpoint)r   raytunereport)r   r   r   r    s       r   _save_and_report_checkpointz8TuneReportCheckpointCallback._save_and_report_checkpointE   s    !!!.. 	@*HOOKJO???	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@ 	@s   "AA
A
c                 D    t           j                            |           d S r   )r!   r"   r#   )r   r   s     r   _report_metricsz,TuneReportCheckpointCallback._report_metricsI   s    $$$$$    N)__name__
__module____qualname____doc__r   r   r   r	   r   r   r$   r&    r'   r   r   r      s        - -^ AW A*1E A A A ^A
@t @G @ @ @ @%4 % % % % % %r'   r   c                       e Zd ZdefdZdS )TuneReportCallbackclsc                      t          d          )Nzm`TuneReportCallback` is deprecated. Use `ray.tune.integration.lightgbm.TuneReportCheckpointCallback` instead.)DeprecationWarning)r/   argskwargss      r   __new__zTuneReportCallback.__new__O   s     X
 
 	
r'   N)r(   r)   r*   typer4   r,   r'   r   r.   r.   M   s/        
T 
 
 
 
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r'   r.   )r   
contextlibr   pathlibr   typingr   r   lightgbmr   ray.tuner!   "ray.train.lightgbm._lightgbm_utilsr   r	   ray.util.annotationsr
   r   r   r.   r,   r'   r   <module>r=      s%    % % % % % %       ! ! ! ! ! ! ! !        @ @ @ @ @ @       6 6 6 6 6 6 6 6 V;% ;% ;% ;% ;%#4 ;% ;% ;%| 
 
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 
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