
    &`iU                         d dl Z d dlZd dlmZ d dlmZ d dlmZ d dlm	Z	 d dl
mZ d dlmZ ddZd	 Zi ad
ede j        fdZdS )    N)CheckpointConfig)	TuneError)Trial)json_to_resources)TuneFunctionEncoder)SafeFallbackEncoderc                    | r	 | d(i |}nt          j        d(i |}|                    ddt          d           |                    ddt          j        d           |                    ddt          j        d	           |                    d
dt          d           |                    ddt          d           |                    ddt          d           |                    ddd           |                    ddt          d           |                    ddt          d           |                    ddd           |                    ddt          d            |                    d!d"t          d#           |                    d$dt          j        d%           |                    d&dt          d'           |S ))zReturns a base argument parser for the ray.tune tool.

    Args:
        parser_creator: A constructor for the parser class.
        kwargs: Non-positional args to be passed into the
            parser class constructor.
    z--runNzThe algorithm or model to train. This may refer to the name of a built-on algorithm (e.g. RLlib's DQN or PPO), or a user-defined trainable function or class registered in the tune registry.)defaulttypehelpz--stopz{}zThe stopping criteria, specified in JSON. The keys may be any field returned by 'train()' e.g. '{"time_total_s": 600, "training_iteration": 100000}' to stop after 600 seconds or 100k iterations, whichever is reached first.z--configzLAlgorithm-specific configuration (e.g. env, hyperparams), specified in JSON.z--resources-per-trialzOverride the machine resources to allocate per trial, e.g. '{"cpu": 64, "gpu": 8}'. Note that GPUs will not be assigned unless you specify them here. For RLlib, you probably want to leave this alone and use RLlib configs to control parallelism.z--num-samples   z%Number of times to repeat each trial.z--checkpoint-freqr   z`How many training iterations between checkpoints. A value of 0 (default) disables checkpointing.z--checkpoint-at-end
store_truezEWhether to checkpoint at the end of the experiment. Default is False.)actionr   z--keep-checkpoints-numz]Number of best checkpoints to keep. Others get deleted. Default (None) keeps all checkpoints.z--checkpoint-score-attrtraining_iterationzSpecifies by which attribute to rank the best checkpoint. Default is increasing order. If attribute starts with min- it will rank attribute in decreasing order. Example: min-validation_lossz--export-formatszList of formats that exported at the end of the experiment. Default is None. For RLlib, 'checkpoint' and 'model' are supported for TensorFlow policy graphs.)r
   r   z--max-failures   zsTry to recover a trial from its last checkpoint at least this many times. Only applies if checkpointing is enabled.z--schedulerFIFOzGFIFO (default), MedianStopping, AsyncHyperBand, HyperBand, or HyperOpt.z--scheduler-configz(Config options to pass to the scheduler.z	--restorez+If specified, restore from this checkpoint. )argparseArgumentParseradd_argumentstrjsonloadsr   int)parser_creatorkwargsparsers      u/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/tune/experiment/config_parser.py_make_parserr      s     3))&))(22622 	     ZL	     Z	     I	     4	     9	     T    
  9	     !$	     2     @	     "	     Z7	     :	     M    c           	         g }|                                  D ]0\  }}d|v r"t          d                    |                    |/t          |t                    r|r<|                    d                    |                    dd                               t          |t                    r|                    |           t          |t                    rt          |          r0|                    t          j
        |t                               |                    t          j
        |t                               2|S )z9Converts configuration to a command line argument format.-zUse '_' instead of '-' in `{}`Nz--{}_)cls)items
ValueErrorformat
isinstanceboolappendreplacer   callabler   dumpsr   r   )configargvkvs       r   _to_argvr2      s/   D @ @1!88=DDQGGHHH9!T"" 	<a 	<KKaiiS&9&9::;;;a 	@KKNNNN4   	@a[[ 	@KK
1*=>>>????KK
1*=>>>????Kr    specr   c                    |                                  } |                     dd          }	 |                    t          |                     \  }}n# t          $ r t          d|           w xY w|r||d<   |                     dt                                }t          d| d         |                     di           |                     di           ||                     d	g           |                     d
          |                     d          |                     d          |                     d          |j	        |                     d          d|S )a  Creates a Trial object from parsing the spec.

    Args:
        spec: A resolved experiment specification. Arguments should
            The args here should correspond to the command line flags
            in ray.tune.experiment.config_parser.
        parser: An argument parser object from
            make_parser.
        trial_kwargs: Extra keyword arguments used in instantiating the Trial.

    Returns:
        A trial object with corresponding parameters to the specification.
    resources_per_trialNz%Error parsing args, see above messageplacement_group_factorycheckpoint_configrunr.   stopexport_formatsrestoretrial_name_creatortrial_dirname_creatorlog_to_filestorage)trainable_namer.   stopping_criterionr7   r:   restore_pathr<   r=   r>   max_failuresr?   r   )
copypopparse_known_argsr2   
SystemExitr   getr   r   rC   )r3   r   trial_kwargs	resourcesargsr#   r7   s          r   _create_trial_from_specrL      sd   $ 99;;D.55IG))(4..99aa G G G?FFFG  <2;./!46F6H6HII  E{xx"%%88FB//+xx 0"55XXi((88$899"hh'>??HH]++&### $ %  s   %A A-)N)r   r   ray.tuner   ray.tune.errorr   ray.tune.experimentr   ray.tune.resourcesr   ray.tune.utils.serializationr   ray.tune.utils.utilr   r   r2   _cached_pgfdictr   rL   r   r    r   <module>rU      s      % % % % % % $ $ $ $ $ $ % % % % % % 0 0 0 0 0 0 = < < < < < 3 3 3 3 3 3w w w wt  * 2
2 /2 2 2 2 2 2r    