Ë
    ÿÍ:jõ¤  ã            
       ó&  — d dl Z d dlZd dlZd dlmZ d dlmZmZ d dlm	Z	 d dl
mZ d dlmZmZmZmZmZ 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Zd dl m!Z! d dlm"Z"m#Z#m$Z$m%Z%m&Z& d dl'm(Z( d dl)m*Z* d dl+m,Z, d dl-m.Z.  ed«      Z/e/r+d dl0Z0d dl1m2Z2m3Z3m4Z4m5Z5m6Z6  e6e«       	 d dl1m7Z7  e7d¬«       ne: e;«       d<   e: e;«       d<    ed«      Z< G d„ dejz                  j|                  j~                  «      Z?ee?fZ@eee?f   ZAeeBe   eBe?   f   ZCeeeDeE   eFeEef   e4f      ZGeegef   ZHeegeee?f   f   ZI G d„ de3«      ZJ G d „ d!e"«      ZK G d"„ d#«      ZLd$eBd%eEfd&„ZM	 d9d$eBd'eee4eFeEef   f      d%eFeEef   fd(„ZNd$eBd%ee4geFeEef   f   fd)„ZOd*eeePed+f   f   d,eFeEef   d%efd-„ZQd.e:d%eeE   fd/„ZRd0eeeBf   d%eBfd1„ZSd2eFd3eEd0ed%dfd4„ZT G d5„ d6«      ZUd$eBe<   d7eFeEef   d%e<fd8„ZVy# e8$ r d dl1m9Z9  e9d¬«       Y �Œ;w xY w):é    N)ÚIterable)ÚpartialÚupdate_wrapper)ÚPath)Ú
MethodType)ÚAnyÚCallableÚOptionalÚTypeVarÚUnion)ÚRequirementCache)Ú_warn)Ú	Optimizer)ÚLRScheduler)Úoverride)Úget_filesystem)ÚCallbackÚLightningDataModuleÚLightningModuleÚTrainerÚseed_everything)Ú_given_hyperparameters_context)ÚMisconfigurationException)Úis_overridden)Úrank_zero_warnz jsonargparse[signatures]>=4.27.7)ÚActionConfigFileÚArgumentParserÚ	NamespaceÚclass_from_functionÚ"register_unresolvable_import_paths)Úset_parsing_settingsT)Úconfig_read_mode_fsspec_enabled)Úset_config_read_mode)Úfsspec_enabledr   r   Ú
ModuleTypec            
       ó8   ‡ — e Zd ZdZdededededdf
ˆ fd„Zˆ xZS )	ÚReduceLROnPlateauzóCustom ReduceLROnPlateau scheduler that extends PyTorch's ReduceLROnPlateau.

    This class adds a `monitor` attribute to the standard PyTorch ReduceLROnPlateau to specify which metric should be
    tracked for learning rate adjustment.

    Ú	optimizerÚmonitorÚargsÚkwargsÚreturnNc                 ó:   •— t        ‰| �  |g|¢­i |¤Ž || _        y ©N)ÚsuperÚ__init__r)   )Úselfr(   r)   r*   r+   Ú	__class__s        €új/home/mcse/projects/srt_converter/srt-converter-venv/lib/python3.12/site-packages/pytorch_lightning/cli.pyr0   zReduceLROnPlateau.__init__L   s!   ø€ Ü‰Ñ˜Ð4 TÒ4¨VÒ4Øˆ�ó    )	Ú__name__Ú
__module__Ú__qualname__Ú__doc__r   Ústrr   r0   Ú__classcell__©r2   s   @r3   r'   r'   D   s7   ø„ ñð )ð °cð À#ð ÐQTð ÐY]÷ ñ r4   r'   c                   ó$  ‡ — e Zd ZdZddddœdededed	ed
eddfˆ fd„Z	 	 ddee	dee
eeef   f   ee
   ee   ee   ee   f   dedededee   f
d„Zefddfdeee   eee   df   f   dededdfd„Zeddfdeeeedf   f   dededdfd„Zˆ xZS )ÚLightningArgumentParserzAExtension of jsonargparse's ArgumentParser for pytorch-lightning.z#Lightning Trainer command line toolÚPLF©ÚdescriptionÚ
env_prefixÚdefault_envr*   r@   rA   rB   r+   r,   Nc                ó‚   •— t         st        t         › «      ‚t        ‰| �  ||||dœ|¤Ž g | _        i | _        i | _        y)a  Initialize argument parser that supports configuration file input.

        For full details of accepted arguments see `ArgumentParser.__init__
        <https://jsonargparse.readthedocs.io/en/stable/#jsonargparse.ArgumentParser.__init__>`_.

        Args:
            description: Description of the tool shown when running ``--help``.
            env_prefix: Prefix for environment variables. Set ``default_env=True`` to enable env parsing.
            default_env: Whether to parse environment variables.

        r?   N)Ú"_JSONARGPARSE_SIGNATURES_AVAILABLEÚModuleNotFoundErrorr/   r0   Úcallback_keysÚ_optimizersÚ_lr_schedulers)r1   r@   rA   rB   r*   r+   r2   s         €r3   r0   z LightningArgumentParser.__init__`   sI   ø€ õ& 2Ü%Ô)KÐ(LÓNÐNÜ‰Ñ˜$¨KÀJÐ\gÑrÐkqÒrØ(*ˆÔàQSˆÔØTVˆÕr4   Úlightning_class.Ú
nested_keyÚsubclass_modeÚrequiredc           	      óš  — t        |«      rt        |t        «      st        |«      }t        |t        «      r‡t	        |t
        t        t        t        f«      rgt	        |t        «      r| j                  j                  |«       |r| j                  ||d|¬«      S | j                  ||dt	        |t
        «       d¬«      S t        d|› d�«      ‚)aö  Adds arguments from a lightning class to a nested key of the parser.

        Args:
            lightning_class: A callable or any subclass of {Trainer, LightningModule, LightningDataModule, Callback}.
            nested_key: Name of the nested namespace to store arguments.
            subclass_mode: Whether allow any subclass of the given class.
            required: Whether the argument group is required.

        Returns:
            A list with the names of the class arguments added.

        F)Úfail_untypedrL   T)rN   ÚinstantiateÚsub_configszCannot add arguments from: zt. You should provide either a callable or a subclass of: Trainer, LightningModule, LightningDataModule, or Callback.)ÚcallableÚ
isinstanceÚtyper   Ú
issubclassr   r   r   r   rF   ÚappendÚadd_subclass_argumentsÚadd_class_argumentsr   )r1   rI   rJ   rK   rL   s        r3   Úadd_lightning_class_argsz0LightningArgumentParser.add_lightning_class_args{   sÒ   € ô2 �OÔ$¬Z¸ÌÔ-NÜ1°/ÓBˆOä�o¤tÔ,´Øœg¤Ô8KÌXÐVô2
ô ˜/¬8Ô4Ø×"Ñ"×)Ñ)¨*Ô5ÙØ×2Ñ2°?ÀJÐ]bÐmuÐ2ÓvÐvØ×+Ñ+ØØØ"Ü *¨?¼GÓ DÐDØ ð ,ó ð ô (Ø)¨/Ð):ð ;Jð Jó
ð 	
r4   r(   Ú	AUTOMATICÚoptimizer_classÚlink_toc                 ó  — t        |t        «      rt        d„ |D «       «      sJ ‚t        |t        «      sJ ‚dddhdœ}t        |t        «      r | j
                  ||fi |¤Ž n | j                  ||fddi|¤Ž ||f| j                  |<   y)ad  Adds arguments from an optimizer class to a nested key of the parser.

        Args:
            optimizer_class: Any subclass of :class:`torch.optim.Optimizer`. Use tuple to allow subclasses.
            nested_key: Name of the nested namespace to store arguments.
            link_to: Dot notation of a parser key to set arguments or AUTOMATIC.

        c              3   ó<   K  — | ]  }t        |t        «      –— Œ y ­wr.   )rT   r   ©Ú.0Úos     r3   ú	<genexpr>z=LightningArgumentParser.add_optimizer_args.<locals>.<genexpr>¹   s   è ø€ ÒI°A”z !¤Y×/ÑIùó   ‚FÚparams©rO   rN   ÚskiprP   TN)rR   ÚtupleÚallrT   r   rV   rW   rG   )r1   rZ   rJ   r[   r+   s        r3   Úadd_optimizer_argsz*LightningArgumentParser.add_optimizer_argsª   s•   € ô �o¤uÔ-ÜÑI¸ÔIÔIÐIÐIä˜o¬yÔ9Ð9Ð9Ø16ÈÐX`ÐWaÑ!bˆÜ�o¤uÔ-Ø'ˆD×'Ñ'¨¸ÑNÀvÓNà$ˆD×$Ñ$ _°jÑ]ÈdÐ]ÐV\Ò]Ø(7¸Ð'Aˆ×Ñ˜Ò$r4   Úlr_schedulerÚlr_scheduler_classc                 ó  — t        |t        «      rt        d„ |D «       «      sJ ‚t        |t        «      sJ ‚dddhdœ}t        |t        «      r | j
                  ||fi |¤Ž n | j                  ||fddi|¤Ž ||f| j                  |<   y)a¤  Adds arguments from a learning rate scheduler class to a nested key of the parser.

        Args:
            lr_scheduler_class: Any subclass of ``torch.optim.lr_scheduler.{_LRScheduler, ReduceLROnPlateau}``. Use
                tuple to allow subclasses.
            nested_key: Name of the nested namespace to store arguments.
            link_to: Dot notation of a parser key to set arguments or AUTOMATIC.

        c              3   ó<   K  — | ]  }t        |t        «      –— Œ y ­wr.   )rT   ÚLRSchedulerTypeTupler^   s     r3   ra   z@LightningArgumentParser.add_lr_scheduler_args.<locals>.<genexpr>Ó   s   è ø€ ÒW¸q”z !Ô%9×:ÑWùrb   Fr(   rd   rP   TN)rR   rf   rg   rT   rm   rV   rW   rH   )r1   rj   rJ   r[   r+   s        r3   Úadd_lr_scheduler_argsz-LightningArgumentParser.add_lr_scheduler_argsÃ   s�   € ô Ð(¬%Ô0ÜÑWÐDVÔWÔWÐWÐWäÐ0Ô2FÔGÐGÐGØ16ÈÐXcÐWdÑ!eˆÜÐ(¬%Ô0Ø'ˆD×'Ñ'Ð(:¸JÑQÈ&ÓQà$ˆD×$Ñ$Ð%7¸Ñ`ÐQUÐ`ÐY_Ò`Ø+=¸wÐ*Gˆ×Ñ˜JÒ'r4   )FT)r5   r6   r7   r8   r   r9   Úboolr0   r   r	   r   r   r   r   rS   ÚlistrX   r   rf   rh   rm   ÚLRSchedulerTypern   r:   r;   s   @r3   r=   r=   ]   sŒ  ø„ ÙKð
 AØØ!òWàðWð ðWð ð	Wð
 ðWð ðWð 
õWðJ $Øñ-
àØ�S˜% ¨Ð:MÈxÐ WÑXÐXÑYØ�‰MØ�Ñ!ØÐ$Ñ%Ø�‰Nð	ñ
ð-
ð ð-
ð ð-
ð ð-
ð 
ˆc‰ó-
ðb QZÈ|Ø%Ø"ñ	Bà˜t I™°°d¸9±oÀsÐ6JÑ0KÐKÑLðBð ðBð ð	Bð
 
óBð6 SgØ(Ø"ñ	Hà! /°5¸È#Ð9MÑ3NÐ"NÑOðHð ðHð ð	Hð
 
÷Hr4   r=   c                   óx   — e Zd ZdZ	 	 	 	 ddededededededd	fd
„Ze	de
dededd	fd„«       Zde
dededd	fd„Zy	)ÚSaveConfigCallbackaf  Saves a LightningCLI config to the log_dir when training starts.

    Args:
        parser: The parser object used to parse the configuration.
        config: The parsed configuration that will be saved.
        config_filename: Filename for the config file.
        overwrite: Whether to overwrite an existing config file.
        multifile: When input is multiple config files, saved config preserves this structure.
        save_to_log_dir: Whether to save the config to the log_dir.

    Raises:
        RuntimeError: If the config file already exists in the directory to avoid overwriting a previous run

    ÚparserÚconfigÚconfig_filenameÚ	overwriteÚ	multifileÚsave_to_log_dirr,   Nc                 ó¤   — || _         || _        || _        || _        || _        || _        d| _        |st        d| t        «      st        d«      ‚y y )NFÚsave_configz°`save_to_log_dir=False` only makes sense when subclassing SaveConfigCallback to implement `save_config` and it is desired to disable the standard behavior of saving to log_dir.)
rt   ru   rv   rw   rx   ry   Úalready_savedr   rs   Ú
ValueError)r1   rt   ru   rv   rw   rx   ry   s          r3   r0   zSaveConfigCallback.__init__î   sb   € ð ˆŒØˆŒØ.ˆÔØ"ˆŒØ"ˆŒØ.ˆÔØ"ˆÔá¤}°]ÀDÔJ\Ô']Üðióð ð (^ˆr4   ÚtrainerÚ	pl_moduleÚstagec                 óö  — | j                   ry | j                  �r|j                  }|€J ‚t        j                  j                  || j                  «      }t        |«      }| j                  sa|j                  r|j                  |«      nd}|j                  j                  |«      }|r%t        | j                  j                  › d|› d�«      ‚|j                  rQ|j!                  |d¬«       | j"                  j%                  | j&                  |d| j                  | j(                  ¬«       |j                  r| j+                  |||«       d| _         |j                  j                  | j                   «      | _         y )NFz
 expected a   to NOT exist. Aborting to avoid overwriting results of a previous run. You can delete the previous config file, set `LightningCLI(save_config_callback=None)` to disable config saving, or set `LightningCLI(save_config_kwargs={"overwrite": True})` to overwrite the config file.T)Úexist_ok)Ú	skip_nonerw   rx   )r|   ry   Úlog_dirÚosÚpathÚjoinrv   r   rw   Úis_global_zeroÚisfileÚstrategyÚ	broadcastÚRuntimeErrorr2   r5   Úmakedirsrt   Úsaveru   rx   r{   )r1   r~   r   r€   r„   Úconfig_pathÚfsÚfile_existss           r3   ÚsetupzSaveConfigCallback.setup  sM  € à×ÒØà×ÓØ—o‘oˆGØÐ&Ð&Ð&ÜŸ'™'Ÿ,™, w°×0DÑ0DÓEˆKÜ Ó(ˆBà—>’>à8?×8NÒ8N˜bŸi™i¨Ô4ÐTY�à%×.Ñ.×8Ñ8¸ÓE�ÙÜ&ØŸ>™>×2Ñ2Ð3°:¸k¸]ð Kwð wóð ð ×%Ò%ð —‘˜G¨d�Ô3Ø—‘× Ñ Ø—K‘K ¸ÈÏÉÐcg×cqÑcqð !ô ð ×!Ò!Ø×Ñ˜W i°Ô7Ø!%ˆDÔð %×-Ñ-×7Ñ7¸×8JÑ8JÓKˆÕr4   c                  ó   — y)a   Implement to save the config in some other place additional to the standard log_dir.

        Example:
            def save_config(self, trainer, pl_module, stage):
                if isinstance(trainer.logger, Logger):
                    config = self.parser.dump(self.config, skip_none=False)  # Required for proper reproducibility
                    trainer.logger.log_hyperparams({"config": config})

        Note:
            This method is only called on rank zero. This allows to implement a custom save config without having to
            worry about ranks or race conditions. Since it only runs on rank zero, any collective call will make the
            process hang waiting for a broadcast. If you need to make collective calls, implement the setup method
            instead.

        N© )r1   r~   r   r€   s       r3   r{   zSaveConfigCallback.save_config-  ó   � r4   )zconfig.yamlFFT)r5   r6   r7   r8   r=   r   r9   ro   r0   r   r   r   r’   r{   r”   r4   r3   rs   rs   Þ   s¸   „ ñð&  -ØØØ $ñà'ðð ðð ð	ð
 ðð ðð ðð 
óð. ð%L˜Wð %L°ð %LÈð %LÐQUò %Ló ð%LðN 7ð °ð Èsð ÐW[ô r4   rs   c            !       ó~  — e Zd ZdZddededddeddddddfdeee	e
   ede
f   f      deee	e   edef   f      dee	e      d	eeeef      d
ee	e   edef   f   deeeef      deeef   deeeeef   eeeeef   f   f      de	e   dededededededdf d„Zdeeef   deeeef   eeef   f   fd„Zdedefd„Zdedeeef   deeef   ddfd„Zdeddfd„Zdeddfd „Zdeddfd!„Zdeddfd"„Zedeeee   f   fd#„«       Zdededdfd$„Zd%e	d&ededefd'„Z ededdfd(„«       Z!dededdfd)„Z"d@d*„Z#d@d+„Z$d@d,„Z%d@d-„Z&d@d.„Z'd@d/„Z(dedefd0„Z)d1eeef   d2e*e+   defd3„Z,d&ee   defd4„Z-e	 dAd5e
d6e.d7ee/   defd8„«       Z0d&ee   ddfd9„Z1dAd1e2d:ed;ee   defd<„Z3d&eddfd=„Z4d&edeeef   fd>„Z5d@d?„Z6y)BÚLightningCLIzIImplementation of a configurable command line tool for pytorch-lightning.NTFÚmodel_class.Údatamodule_classÚsave_config_callbackÚsave_config_kwargsÚtrainer_classÚtrainer_defaultsÚseed_everything_defaultÚparser_kwargsÚparser_classÚsubclass_mode_modelÚsubclass_mode_datar*   ÚrunÚauto_configure_optimizersÚload_from_checkpoint_supportr,   c                 óö  — || _         |xs i | _        || _        |xs i | _        || _        |xs i | _        |	| _        || _        || _        |xs t        | _
        |du xs |
| _        || _        |xs t        | _        |du xs || _        | j!                  | j
                  «      \  }}| j#                  |||«       | j%                  | j&                  |«       | j)                  «        |r| j*                  d   nd| _        | j/                  «        |r| j1                  «        | j3                  «        | j5                  «        | j7                  «        | j,                  �| j9                  | j,                  «       yy)aº  Receives as input pytorch-lightning classes (or callables which return pytorch-lightning classes), which are
        called / instantiated using a parsed configuration file and / or command line args.

        Parsing of configuration from environment variables can be enabled by setting ``parser_kwargs={"default_env":
        True}``. A full configuration yaml would be parsed from ``PL_CONFIG`` if set. Individual settings are so parsed
        from variables named for example ``PL_TRAINER__MAX_EPOCHS``.

        For more info, read :ref:`the CLI docs <lightning-cli>`.

        Args:
            model_class: An optional :class:`~pytorch_lightning.core.LightningModule` class to train on or a
                callable which returns a :class:`~pytorch_lightning.core.LightningModule` instance when
                called. If ``None``, you can pass a registered model with ``--model=MyModel``.
            datamodule_class: An optional :class:`~pytorch_lightning.core.datamodule.LightningDataModule` class or a
                callable which returns a :class:`~pytorch_lightning.core.datamodule.LightningDataModule` instance when
                called. If ``None``, you can pass a registered datamodule with ``--data=MyDataModule``.
            save_config_callback: A callback class to save the config.
            save_config_kwargs: Parameters that will be used to instantiate the save_config_callback.
            trainer_class: An optional subclass of the :class:`~pytorch_lightning.trainer.trainer.Trainer` class or a
                callable which returns a :class:`~pytorch_lightning.trainer.trainer.Trainer` instance when called.
            trainer_defaults: Set to override Trainer defaults or add persistent callbacks. The callbacks added through
                this argument will not be configurable from a configuration file and will always be present for
                this particular CLI. Alternatively, configurable callbacks can be added as explained in
                :ref:`the CLI docs <lightning-cli>`.
            seed_everything_default: Number for the :func:`~lightning_fabric.utilities.seed.seed_everything`
                seed value. Set to True to automatically choose a seed value.
                Setting it to False will avoid calling ``seed_everything``.
            parser_kwargs: Additional arguments to instantiate each ``LightningArgumentParser``.
            subclass_mode_model: Whether model can be any `subclass
                <https://jsonargparse.readthedocs.io/en/stable/#class-type-and-sub-classes>`_
                of the given class.
            subclass_mode_data: Whether datamodule can be any `subclass
                <https://jsonargparse.readthedocs.io/en/stable/#class-type-and-sub-classes>`_
                of the given class.
            args: Arguments to parse. If ``None`` the arguments are taken from ``sys.argv``. Command line style
                arguments can be given in a ``list``. Alternatively, structured config options can be given in a
                ``dict`` or ``jsonargparse.Namespace``.
            run: Whether subcommands should be added to run a :class:`~pytorch_lightning.trainer.trainer.Trainer`
                method. If set to ``False``, the trainer and model classes will be instantiated only.
            auto_configure_optimizers: Whether to automatically add default optimizer and lr_scheduler arguments.
            load_from_checkpoint_support: Whether ``save_hyperparameters`` should save the original parsed
                hyperparameters (instead of what ``__init__`` receives), such that it is possible for
                ``load_from_checkpoint`` to correctly instantiate classes even when using complex nesting and
                dependency injection.

        NÚ
subcommand)rš   r›   rœ   r�   rž   rŸ   r    r¤   r˜   r   Ú_model_classr¡   r™   r   Ú_datamodule_classr¢   Ú_setup_parser_kwargsÚsetup_parserÚparse_argumentsrt   Ú_parse_ckpt_pathru   r§   Ú	_set_seedÚ_add_instantiatorsÚbefore_instantiate_classesÚinstantiate_classesÚafter_instantiate_classesÚ_run_subcommand)r1   r˜   r™   rš   r›   rœ   r�   rž   rŸ   r    r¡   r¢   r*   r£   r¤   r¥   Úmain_kwargsÚsubparser_kwargss                     r3   r0   zLightningCLI.__init__B  sf  € ð@ %9ˆÔ!Ø"4Ò":¸ˆÔØ*ˆÔØ 0Ò 6°BˆÔØ'>ˆÔ$Ø*Ò0¨bˆÔØ(ˆÔØ)BˆÔ&à&ˆÔà'Ò:¬?ˆÔØ$/°4Ð$7Ò#OÐ<OˆÔ à 0ˆÔà!1Ò!HÔ5HˆÔØ#3°tÐ#;Ò"RÐ@RˆÔà(,×(AÑ(AÀ$×BTÑBTÓ(UÑ%ˆÐ%Ø×Ñ˜#˜{Ð,<Ô=Ø×Ñ˜TŸ[™[¨$Ô/Ø×ÑÔá7:˜$Ÿ+™+ lÒ3ÀˆŒà�‰Ôá'Ø×#Ñ#Ô%Ø×'Ñ'Ô)Ø× Ñ Ô"Ø×&Ñ&Ô(à�?‰?Ð&Ø× Ñ  §¡Õ1ð 'r4   c                 óþ   — | j                  «       j                  «       }|j                  «       D ��ci c]  \  }}||vsŒ||“Œ }}}|j                  «       D ��ci c]  \  }}||v sŒ||“Œ }}}||fS c c}}w c c}}w r.   )ÚsubcommandsÚkeysÚitems)r1   rŸ   Úsubcommand_namesÚkÚvr´   rµ   s          r3   rª   z!LightningCLI._setup_parser_kwargs§  sˆ   € Ø×+Ñ+Ó-×2Ñ2Ó4ÐØ(5×(;Ñ(;Ó(=×[¡  1ÀÐJZÒAZ�q˜!‘tÐ[ˆÑ[Ø-:×-@Ñ-@Ó-B×\¡T Q¨ÀaÐK[ÒF[˜A˜q™DÐ\ÐÑ\ØÐ,Ð,Ð,ùó \ùÛ\s   ²A3¿A3ÁA9Á'A9r+   c                 ó¤   — |j                  ddt        j                  › �g«        | j                  di |¤Ž}|j	                  ddt
        d¬«       |S )z-Method that instantiates the argument parser.Údump_headerzpytorch_lightning==z-cz--configz4Path to a configuration file in json or yaml format.)ÚactionÚhelpr”   )Ú
setdefaultÚplÚ__version__r    Úadd_argumentr   )r1   r+   rt   s      r3   Úinit_parserzLightningCLI.init_parser­  s\   € à×Ñ˜-Ð,?ÄÇÁÐ?OÐ*PÐ)QÔRØ"�×"Ñ"Ñ, VÑ,ˆØ×ÑØ�*Ô%5Ð<rð 	ô 	
ð ˆr4   Úadd_subcommandsr´   rµ   c                 ó¶   —  | j                   di |¤Ž| _        |r%i | _         | j                  | j                  fi |¤Ž y| j	                  | j                  «       y)z<Initialize and setup the parser, subcommands, and arguments.Nr”   )rÅ   rt   Ú_subcommand_method_argumentsÚ_add_subcommandsÚ_add_arguments)r1   rÆ   r´   rµ   s       r3   r«   zLightningCLI.setup_parser¶  sR   € ð '�d×&Ñ&Ñ5¨Ñ5ˆŒÙØFHˆDÔ-Ø!ˆD×!Ñ! $§+¡+ÑBÐ1AÓBà×Ñ §¡Õ,r4   rt   c                 ód   — |j                  dt        t        t        f   | j                  d¬«       y)z%Adds default arguments to the parser.z--seed_everythingzsSet to an int to run seed_everything with this value before classes instantiation.Set to True to use a random seed.)rS   ÚdefaultrÀ   N)rÄ   r   ro   Úintrž   ©r1   rt   s     r3   Úadd_default_arguments_to_parserz,LightningCLI.add_default_arguments_to_parserÁ  s2   € à×ÑØÜ”tœS�yÑ!Ø×0Ñ0ð4ð 	õ 	
r4   c                 óâ  — |j                  | j                  d«       | j                  j                  «       D ��ci c]  \  }}|dk7  sŒd|z   |“Œ }}}|j	                  |«       |j                  | j
                  d| j                  ¬«       | j                  �)|j                  | j                  d| j                  ¬«       y|j                  | j                  d| j                  d¬	«       yc c}}w )
z3Adds arguments from the core classes to the parser.r~   Ú	callbacksztrainer.Úmodel)rK   NÚdataF)rK   rL   )
rX   rœ   r�   r¹   Úset_defaultsr¨   r¡   r™   r©   r¢   )r1   rt   r»   r¼   r�   s        r3   Úadd_core_arguments_to_parserz)LightningCLI.add_core_arguments_to_parserÍ  sá   € à×'Ñ'¨×(:Ñ(:¸IÔFØ:>×:OÑ:O×:UÑ:UÓ:W×l±$°!°QÐ[\Ð`kÓ[k˜J¨™N¨AÑ-ÐlÐÑlØ×ÑÐ,Ô-à×'Ñ'¨×(9Ñ(9¸7ÐRV×RjÑRjÐ'Ôkà× Ñ Ð,Ø×+Ñ+¨D×,BÑ,BÀFÐZ^×ZqÑZqÐ+Õrð ×+Ñ+Ø×&Ñ&¨¸d×>UÑ>UÐ`eð ,õ ùó ms   ºC+ÁC+c                 ó*  — | j                  |«       | j                  |«       | j                  |«       | j                  rC|j                  s|j                  t        f«       |j                  s|j                  t        «       | j                  |«       y r.   )rÏ   rÕ   Úadd_arguments_to_parserr¤   rG   rh   r   rH   rn   rm   Ú!link_optimizers_and_lr_schedulersrÎ   s     r3   rÊ   zLightningCLI._add_argumentsÝ  st   € à×,Ñ,¨VÔ4Ø×)Ñ)¨&Ô1Ø×$Ñ$ VÔ,à×)Ò)Ø×%Ò%Ø×)Ñ)¬9¨,Ô7Ø×(Ò(Ø×,Ñ,Ô-AÔBØ×.Ñ.¨vÕ6r4   c                  ó   — y)z Implement to add extra arguments to the parser or link arguments.

        Args:
            parser: The parser object to which arguments can be added

        Nr”   rÎ   s     r3   r×   z$LightningCLI.add_arguments_to_parserê  r•   r4   c                  ó    — h d£h d£h d£h d£dœS )zDDefines the list of available subcommands and the arguments to skip.>   rÒ   Ú
datamoduleÚval_dataloadersÚtrain_dataloaders>   rÒ   rÛ   Údataloaders)ÚfitÚvalidateÚtestÚpredictr”   r”   r4   r3   r·   zLightningCLI.subcommandsò  s   € ò SÚ>Ú:Ú=ñ	
ð 	
r4   c                 ó¶  — i | _         |j                  «       }t        | j                  t        «      r| j                  nt        | j                  «      }| j                  «       D ]t  }t        ||«      }t        |«      }|j                  |i «      }|j                  d|«        | j                  ||fi |¤Ž}	|	| j                   |<   |j                  ||	|¬«       Œv y)z%Adds subcommands to the input parser.r@   )rÀ   N)Ú_subcommand_parsersrÆ   rR   rœ   rS   r   r·   ÚgetattrÚ_get_short_descriptionÚgetrÁ   Ú_prepare_subcommand_parserÚadd_subcommand)
r1   rt   r+   Úparser_subcommandsrœ   r§   Úfnr@   rµ   Úsubcommand_parsers
             r3   rÉ   zLightningCLI._add_subcommandsü  sÜ   € àGIˆÔ Ø#×3Ñ3Ó5Ðô #-¨T×-?Ñ-?ÄÔ"FˆD×ÒÔL_Ð`d×`rÑ`rÓLsð 	ð ×*Ñ*Ó,ò 	_ˆJÜ˜¨
Ó3ˆBä0°Ó4ˆKØ%Ÿz™z¨*°bÓ9ÐØ×'Ñ'¨°{ÔCØ ? × ?Ñ ?ÀÈzÑ nÐ]mÑ nÐØ3DˆD×$Ñ$ ZÑ0Ø×-Ñ-¨jÐ:KÐR]Ð-Õ^ñ	_r4   Úklassr§   c                 óÊ   —  | j                   di |¤Ž}| j                  |«       t        | j                  «       |   «      }|j	                  |||¬«      }|| j
                  |<   |S )N)re   r”   )rÅ   rÊ   Úsetr·   Úadd_method_argumentsrÈ   )r1   rí   r§   r+   rt   re   Úaddeds          r3   rè   z'LightningCLI._prepare_subcommand_parser  si   € Ø!�×!Ñ!Ñ+ FÑ+ˆØ×Ñ˜FÔ#ä%(¨×)9Ñ)9Ó);¸JÑ)GÓ%HˆØ×+Ñ+¨E°:ÀDÐ+ÓIˆà8=ˆ×)Ñ)¨*Ñ5Øˆr4   c                 óþ   — i | j                   ¥| j                  ¥}|j                  «       D ]P  \  }\  }}|dk(  rŒt        |t        «      r| j                  ||«       Œ2t        |«      }| j                  |||¬«       ŒR y)z`Creates argument links for optimizers and learning rate schedulers that specified a ``link_to``.rY   )Ú
compute_fnN)rG   rH   r¹   rR   rf   Úlink_argumentsÚ_add_class_path_generator)rt   Úoptimizers_and_lr_schedulersÚkeyÚ
class_typer[   Úadd_class_paths         r3   rØ   z.LightningCLI.link_optimizers_and_lr_schedulers  s‰   € ð (W¨&×*<Ñ*<Ð'VÀ×@UÑ@UÐ'VÐ$Ø*F×*LÑ*LÓ*Nò 	OÑ&ˆCÑ&�*˜gØ˜+Ò%ØÜ˜*¤eÔ,Ø×%Ñ% c¨7Õ3ä!:¸:Ó!F�Ø×%Ñ% c¨7¸~Ð%ÕNñ	Or4   c                 ó  — |�?t        t        j                  «      dkD  r#t        dt        j                  dd › d|› d�«       t	        |t
        t        f«      r|j                  |«      | _        y|j                  |«      | _        y)z?Parses command line arguments and stores it in ``self.config``.Né   zØLightningCLI's args parameter is intended to run from within Python like if it were from the command line. To prevent mistakes it is not recommended to provide both args and command line arguments, got: sys.argv[1:]=z, args=ú.)
ÚlenÚsysÚargvr   rR   Údictr   Úparse_objectru   Ú
parse_args)r1   rt   r*   s      r3   r¬   zLightningCLI.parse_arguments&  su   € àÐ¤¤C§H¡H£°Ò 1Üð ä #§¡¨¨ ˜~¨W°T°F¸!ð=ôô
 �dœT¤9Ð-Ô.Ø ×-Ñ-¨dÓ3ˆD�Kà ×+Ñ+¨DÓ1ˆD�Kr4   c                 ón  — | j                   j                  d«      sy| j                   | j                   j                     j                  d«      }|r¸t        |«      j	                  «       ržt        j                  |dd¬«      }|j                  di «      }|j                  dd«       |syd	|v r|j                  d	«      |d
œ}| j                   j                  d|ii}	 | j                  j                  || j                   «      | _         yyy# t        $ r! t        j                  j                  d«       ‚ w xY w)zcIf a checkpoint path is given, parse the hyperparameters from the checkpoint and update the config.r§   NÚ	ckpt_pathTÚcpu)Úweights_onlyÚmap_locationÚhyper_parametersÚ_instantiatorÚ_class_path©Ú
class_pathÚdict_kwargsrÒ   z-Parsing of ckpt_path hyperparameters failed!
)ru   rç   r§   r   Úis_fileÚtorchÚloadÚpoprt   r  Ú
SystemExitrþ   ÚstderrÚwrite)r1   r  ÚckptÚhparamss       r3   r­   zLightningCLI._parse_ckpt_path3  s	  € à�{‰{�‰˜|Ô,ØØ—K‘K §¡× 6Ñ 6Ñ7×;Ñ;¸KÓHˆ	Ùœ˜i›×0Ñ0Ô2Ü—:‘:˜i°dÈÔOˆDØ—h‘hÐ1°2Ó6ˆGØ�K‰K˜¨Ô.ÙØØ Ñ'à")§+¡+¨mÓ"<Ø#*ñ�ð —{‘{×-Ñ-°¸Ð/AÐBˆGðØ"Ÿk™k×6Ñ6°wÀÇÁÓL�•ð 3ˆ9øô ò Ü—
‘
× Ñ Ð!QÔRØðús   Ã+D
 Ä
*D4c                 ó  — t        | d«      ry t        j                  | j                  j	                  | j
                  ddd¬«      «      | _        d| j
                  v r)| j                  | j
                  j                     | _        y y )NÚconfig_dumpFÚyaml)Úskip_link_targetsrƒ   Úformatr§   )Úhasattrr  Ú	safe_loadrt   Údumpru   r  r§   ©r1   s    r3   Ú_dump_configzLightningCLI._dump_configJ  sp   € Ü�4˜Ô'ØÜŸ>™>Ø�K‰K×Ñ˜TŸ[™[¸EÈUÐ[aÐÓbó
ˆÔð ˜4Ÿ;™;Ñ&Ø#×/Ñ/°·±×0FÑ0FÑGˆDÕð 'r4   c                 ó  — | j                   j                  t        | d¬«      t        | j                  «      | j
                  ¬«       | j                   j                  t        | d¬«      t        | j                  «      | j                  ¬«       y )NrÒ   ©Úclir÷   )Ú
subclassesrÓ   )rt   Úadd_instantiatorÚ_InstantiatorFnÚ_get_module_typer¨   r¡   r©   r¢   r  s    r3   r¯   zLightningCLI._add_instantiatorsS  st   € Ø�‰×$Ñ$Ü ¨'Ô2Ü˜T×.Ñ.Ó/Ø×/Ñ/ð 	%ô 	
ð
 	�‰×$Ñ$Ü ¨&Ô1Ü˜T×3Ñ3Ó4Ø×.Ñ.ð 	%õ 	
r4   c                  ó   — y)z<Implement to run some code before instantiating the classes.Nr”   r  s    r3   r°   z'LightningCLI.before_instantiate_classes_  r•   r4   c                 ó<  — | j                   j                  | j                  «      | _        | j	                  | j                  d«      | _        | j	                  | j                  d«      | _        | j                  | j                  «       | j                  «       | _
        y)z3Instantiates the classes and sets their attributes.rÓ   rÒ   N)rt   r±   ru   Úconfig_initÚ_getrÛ   rÒ   Ú)_add_configure_optimizers_method_to_modelr§   Úinstantiate_trainerr~   r  s    r3   r±   z LightningCLI.instantiate_classesb  so   € àŸ;™;×:Ñ:¸4¿;¹;ÓGˆÔØŸ)™) D×$4Ñ$4°fÓ=ˆŒØ—Y‘Y˜t×/Ñ/°Ó9ˆŒ
Ø×6Ñ6°t·±ÔGØ×/Ñ/Ó1ˆ�r4   c                  ó   — y)z;Implement to run some code after instantiating the classes.Nr”   r  s    r3   r²   z&LightningCLI.after_instantiate_classesj  r•   r4   c                 ó  — | j                  | j                  «      j                  D �cg c]  }| j                  | j                  |«      ‘Œ  }}i | j                  | j                  di ¬«      ¥|¥}| j                  ||«      S c c}w )zdInstantiates the trainer.

        Args:
            kwargs: Any custom trainer arguments.

        r~   )rÌ   )Ú_parserr§   rF   r+  r*  Ú_instantiate_trainer)r1   r+   ÚcÚextra_callbacksÚtrainer_configs        r3   r-  z LightningCLI.instantiate_trainerm  s~   € ð DHÇ<Á<ÐPT×P_ÑP_ÓC`×CnÑCnÖo¸a˜4Ÿ9™9 T×%5Ñ%5°qÕ9ÐoˆÐoØY˜DŸI™I d×&6Ñ&6¸	È2˜IÓNÐYÐRXÐYˆØ×(Ñ(¨¸ÓIÐIùò ps   ¨#Bru   rÑ   c                 ó²  — d}||v �r||   €g ||<   nt        ||   t        «      s	||   g||<   ||   j                  |«       || j                  v r/| j                  |   }||xx   t        |t        «      r|n|gz  cc<   | j                  r»|j                  dd«      s© | j                  | j                  | j                  «      | j                  j                  t        | j                  «      | j                  «      fi | j                  ¤Ž}||   j                  |«       n&t        d| j                  j                  › d|› d�«        | j                  di |¤ŽS )NrÑ   Úfast_dev_runFzThe `z` class does not expose the `z(` argument so they will not be included.r”   )rR   rp   Úextendr�   rš   rç   r0  r§   ru   r9   r›   rU   r   rœ   r7   )r1   ru   rÑ   r÷   ÚvalueÚconfig_callbacks         r3   r1  z!LightningCLI._instantiate_trainerx  sL  € ØˆØ�&Š=Ø�c‰{Ð"Ø ��s’Ü  s¡¬TÔ2Ø% c™{˜m��s‘Ø�3‰K×Ñ˜yÔ)Ø�d×+Ñ+Ñ+Ø×-Ñ-¨cÑ2�Ø�s“¬
°5¼$Ô(?™uÀeÀWÑL“Ø×(Ò(°·±¸NÈEÔ1RØ"; $×";Ñ";Ø—L‘L §¡Ó1Ø—K‘K—O‘O¤C¨¯©Ó$8¸$¿+¹+ÓFñ#ð ×-Ñ-ñ#�ð
 �s‘×"Ñ" ?Õ3äØ˜×*Ñ*×7Ñ7Ð8Ð8UÐVYÐUZð [$ð $ôð "ˆt×!Ñ!Ñ+ FÑ+Ð+r4   c                 ó<   — |€| j                   S | j                  |   S r.   )rt   rä   )r1   r§   s     r3   r0  zLightningCLI._parser‘  s#   € ØÐØ—;‘;Ðà×'Ñ'¨
Ñ3Ð3r4   Úlightning_moduler(   ri   c                 óZ   — |€|S t        |t        «      r|||j                  dœdœS |g|gfS )a  Override to customize the :meth:`~pytorch_lightning.core.LightningModule.configure_optimizers` method.

        Args:
            lightning_module: A reference to the model.
            optimizer: The optimizer.
            lr_scheduler: The learning rate scheduler (if used).

        )Ú	schedulerr)   ©r(   ri   )rR   r'   r)   )r;  r(   ri   s      r3   Úconfigure_optimizersz!LightningCLI.configure_optimizers—  sG   € ð ÐØÐÜ�lÔ$5Ô6à&Ø.:À|×G[ÑG[Ñ \ñð ð ˆ{˜\˜NÐ*Ð*r4   c                 ó  — | j                   sy| j                  |«      }dt        t        t        t        df   f   dt
        t        t        t        t        t        t        df   f   t        f   f   dt        t           fd„} |t        |j                  «      } |t        |j                  «      }t        |«      dk(  ryt        |«      dkD  st        |«      dkD  r)t        d	| j                  j                  › d
||z   › d�«      ‚|j                  |d      d   }| j!                  | j"                  |d   «      }t%        |t        «      st'        ||«      }|syd}|rP|j                  |d      d   }	| j!                  | j"                  |d   «      }t%        |	t        «      st'        |	|«      }t)        d| j*                  «      rDt-        d	| j*                  j                  j                  › d| j                  j                  › d�«       t/        | j*                  j1                  «       |«      }
|rt/        |
|«      nd}t3        | j4                  |
|¬«      }t7        || j4                  «       t9        || j*                  «      | j*                  _        y)zÒOverrides the model's :meth:`~pytorch_lightning.core.LightningModule.configure_optimizers` method if a
        single optimizer and optionally a scheduler argument groups are added to the parser as 'AUTOMATIC'.Nrø   .Úregisterr,   c                 óÀ   ‡ — g }|j                  «       D ]G  \  }\  }}t        |t        «      s|f}|dk(  sŒ"t        ˆ fd„|D «       «      sŒ7|j	                  |«       ŒI |S )NrY   c              3   ó6   •K  — | ]  }t        |‰«      –— Œ y ­wr.   )rT   )r_   r2  rø   s     €r3   ra   z`LightningCLI._add_configure_optimizers_method_to_model.<locals>.get_automatic.<locals>.<genexpr>»  s   øè ø€ Ò1`ÐPQ´*¸QÀ
×2KÑ1`ùs   ƒ)r¹   rR   rf   ÚanyrU   )rø   rA  Ú	automaticr÷   Ú
base_classr[   s   `     r3   Úget_automaticzMLightningCLI._add_configure_optimizers_method_to_model.<locals>.get_automatic´  sg   ø€ ð ˆIØ.6¯n©nÓ.>ò *Ñ*�Ñ*�j 'Ü! *¬eÔ4Ø", �JØ˜kÓ)¬cÓ1`ÐU_Ô1`Õ.`Ø×$Ñ$ SÕ)ð	*ð
 Ðr4   r   rû   ú`z{.add_configure_optimizers_method_to_model` expects at most one optimizer and one lr_scheduler to be 'AUTOMATIC', but found zÔ. In this case the user is expected to link the argument groups and implement `configure_optimizers`, see https://lightning.ai/docs/pytorch/stable/common/lightning_cli.html#optimizers-and-learning-rate-schedulersr?  z..configure_optimizers` will be overridden by `z.configure_optimizers`.r>  )r¤   r0  r   rS   rf   r   r9   rp   r   rG   rm   rH   rý   r   r2   r5   r+  r*  rR   Ú_global_add_class_pathr   rÒ   r   Úinstantiate_classÚ
parametersr   r?  r   r   )r1   r§   rt   rG  Ú
optimizersÚlr_schedulersrZ   Úoptimizer_initÚlr_scheduler_initrj   r(   ri   rë   s                r3   r,  z6LightningCLI._add_configure_optimizers_method_to_model¬  sl  € ð ×-Ò-Øà—‘˜jÓ)ˆð		Üœd¤E¬$°¨)Ñ$4Ð4Ñ5ð		ÜAEÄcÌ5ÔQVÔW[Ô]bÔcgÐilÐclÑ]mÐWmÑQnÔpsÐQsÑKtÐFtÑAuð		ä”#‰Yó		ñ #¤9¨f×.@Ñ.@ÓAˆ
Ù%Ô&:¸F×<QÑ<QÓRˆäˆz‹?˜aÒØäˆz‹?˜QÒ¤# mÓ"4°qÒ"8Ü+Ø�D—N‘N×+Ñ+Ð,ð -EØEOÐR_ÑE_ÐD`ð a;ð;óð ð !×,Ñ,¨Z¸©]Ñ;¸AÑ>ˆØŸ™ 4×#3Ñ#3°ZÀ±]ÓCˆÜ˜/¬5Ô1Ü3°OÀ^ÓTˆNÙàà ÐÙØ!'×!6Ñ!6°}ÀQÑ7GÑ!HÈÑ!KÐØ $§	¡	¨$×*:Ñ*:¸MÈ!Ñ<LÓ MÐÜÐ0´%Ô8Ü$:Ð;MÐO`Ó$aÐ!äÐ/°·±Ô<ÜØ�D—J‘J×(Ñ(×1Ñ1Ð2ð 3Ø—N‘N×+Ñ+Ð,Ð,CðEôô
 & d§j¡j×&;Ñ&;Ó&=¸~ÓNˆ	ÙJ[Ô(¨Ð4EÔFÐaeˆÜ�T×.Ñ.¸)ÐR^Ô_ˆÜ�r˜4×4Ñ4Ô5ä*4°R¸¿¹Ó*Dˆ�
‰
Õ'r4   r÷   rÌ   c                 ól   — |j                  t        | j                  «      |«      j                  ||«      S )zAUtility to get a config value which might be inside a subcommand.)rç   r9   r§   )r1   ru   r÷   rÌ   s       r3   r+  zLightningCLI._getê  s)   € à�z‰zœ#˜dŸo™oÓ.°Ó7×;Ñ;¸CÀÓIÐIr4   c                 ó  — t        | d|› �d«      }t        |«      r |«        t        | j                  |«      }t        | ||«      }| j                  |«      } |di |¤Ž t        | d|› �d«      }t        |«      r |«        yy)zRun the chosen subcommand.Úbefore_NÚafter_r”   )rå   rQ   r~   Ú_prepare_subcommand_kwargs)r1   r§   Ú	before_fnrÌ   rë   Ú	fn_kwargsÚafter_fns          r3   r³   zLightningCLI._run_subcommandî  s‚   € ä˜D G¨J¨<Ð"8¸$Ó?ˆ	Ü�IÔÙŒKä˜$Ÿ,™,¨
Ó3ˆÜ�T˜: wÓ/ˆØ×3Ñ3°JÓ?ˆ	Ù
‰ˆYŠä˜4 6¨*¨Ð!6¸Ó=ˆÜ�HÔÙ�Jð r4   c                 óê   — | j                   |   j                  «       D ��ci c]  \  }}|| j                  |   v sŒ||“Œ }}}| j                  |d<   | j                  �| j                  |d<   |S c c}}w )z@Prepares the keyword arguments to pass to the subcommand to run.rÒ   rÛ   )r*  r¹   rÈ   rÒ   rÛ   )r1   r§   r»   r¼   rV  s        r3   rT  z'LightningCLI._prepare_subcommand_kwargsý  s€   € ð "×-Ñ-¨jÑ9×?Ñ?ÓA÷
Ù�Q˜ÀQÈ$×JkÑJkÐlvÑJwÒEwˆAˆq‰Dð
ˆ	ñ 
ð "ŸZ™Zˆ	�'ÑØ�?‰?Ð&Ø&*§o¡oˆI�lÑ#ØÐùó
s
   ¡A/»A/c                 óò   — | j                  | j                  d«      }|du ry|du rt        d¬«      }nt        |d¬«      }| j                  r|| j                  | j                     d<   y|| j                  d<   y)zSets the seed.r   FNT)Úworkers)r+  ru   r   r§   )r1   Úconfig_seeds     r3   r®   zLightningCLI._set_seed  sn   € à—i‘i §¡Ð->Ó?ˆØ˜%ÑØØ˜$Ñä)°$Ô7‰Kä)¨+¸tÔDˆKØ�?Š?Ø>IˆD�K‰K˜Ÿ™Ñ(Ð):Ò;à-8ˆD�K‰KÐ)Ò*r4   )r,   Nr.   )7r5   r6   r7   r8   rs   r   r=   r
   r   rS   r   r	   r   r   r9   r   ro   rÍ   ÚArgsTyper0   rf   rª   rÅ   r«   rÏ   rÕ   rÊ   r×   Ústaticmethodrï   r·   rÉ   rè   rØ   r¬   r­   r   r¯   r°   r±   r²   r-  rp   r   r1  r0  r   ÚLRSchedulerTypeUnionr?  r,  r   r+  r³   rT  r®   r”   r4   r3   r—   r—   ?  sS  „ ÙSð _cØkoØCUØ7;ØFMØ59Ø48ØTXØ6MØ$)Ø#(ØØØ*.Ø-1ñ!c2à˜e D¨Ñ$9¸8ÀCÈÐDXÑ;YÐ$YÑZÑ[ðc2ð # 5¨Ð.AÑ)BÀHÈSÐReÐMeÑDfÐ)fÑ#gÑhðc2ð ' tÐ,>Ñ'?Ñ@ð	c2ð
 % T¨#¨s¨(¡^Ñ4ðc2ð ˜T '™]¨H°S¸'°\Ñ,BÐBÑCðc2ð # 4¨¨S¨¡>Ñ2ðc2ð "' t¨S yÑ!1ðc2ð    d¨3°¨8¡n°d¸3ÀÀSÈ#ÀXÁÐ;NÑ6OÐ&OÑ PÑQðc2ð Ð2Ñ3ðc2ð "ðc2ð !ðc2ð ðc2ð ðc2ð $(ðc2ð  '+ð!c2ð" 
ó#c2ðJ-°$°s¸C°x±.ð -ÀUÈ4ÐPSÐUXÐPXÉ>Ð[_Ð`cÐehÐ`hÑ[iÐKiÑEjó -ð Cð Ð,Có ð	-Ø#ð	-Ø26°s¸C°x±.ð	-ØTXÐY\Ð^aÐYaÑTbð	-à	ó	-ð

Ð6Mð 

ÐRVó 

ðÐ3Jð Ètó ð 7Ð%<ð 7Àó 7ðÐ.Eð È$ó ð ð
˜˜c 3 s¡8˜mÑ,ò 
ó ð
ð_Ð'>ð _È#ð _ÐRVó _ð&°ð À#ð ÐQTð ÐYpó ð ð
OÐ2Ið 
OÈdò 
Oó ð
Oð2Ð&=ð 2ÀXð 2ÐRVó 2óó.Hó

óKó2óJð	J¨Cð 	J°Gó 	Jð,¨4°°S°©>ð ,ÀdÈ8Ánð ,ÐY`ó ,ð24 (¨3¡-ð 4Ð4Kó 4ð àptñ+Ø)ð+Ø6?ð+ØOWÐXlÑOmð+à	ò+ó ð+ð(<EÀHÈSÁMð <EÐVZó <Eñ|J˜9ð J¨3ð J¸À#¹ð JÐRUó Jð¨#ð °$ó ð°Sð ¸TÀ#ÀsÀ(¹^ó ô9r4   r—   rø   r,   c                 ó:   — | j                   dz   | j                  z   S )Nrü   )r6   r5   )rø   s    r3   Ú_class_path_from_classr`    s   € Ø× Ñ  3Ñ&¨×)<Ñ)<Ñ<Ð<r4   Ú	init_argsc                 óf   — t        |t        «      r|j                  «       }t        | «      |xs i dœS )N)r  ra  )rR   r   Úas_dictr`  )rø   ra  s     r3   rI  rI    s1   € ô �)œYÔ'Ø×%Ñ%Ó'ˆ	Ü0°Ó<È9Ê?ÐXZÑ[Ð[r4   c                 óF   ‡ — dt         dt        t        t        f   fˆ fd„}|S )Nra  r,   c                 ó   •— t        ‰| «      S r.   )rI  )ra  rø   s    €r3   rù   z1_add_class_path_generator.<locals>.add_class_path$  s   ø€ Ü% j°)Ó<Ð<r4   )r   r   r9   r   )rø   rù   s   ` r3   rõ   rõ   #  s&   ø€ ð=¤)ð =´´S¼#°X±õ =ð Ðr4   r*   .Úinitc                 óÀ   — |j                  di «      }t        | t        «      s| f} |d   j                  dd«      \  }}t	        ||g¬«      }t        ||«      } || i |¤ŽS )zúInstantiates a class with the given args and init.

    Args:
        args: Positional arguments required for instantiation.
        init: Dict of the form {"class_path":...,"init_args":...}.

    Returns:
        The instantiated class object.

    ra  r  rü   rû   )Úfromlist)rç   rR   rf   ÚrsplitÚ
__import__rå   )r*   rf  r+   Úclass_moduleÚ
class_nameÚmoduleÚ
args_classs          r3   rJ  rJ  *  sk   € ð �X‰X�k 2Ó&€FÜ�dœEÔ"ØˆwˆØ# LÑ1×8Ñ8¸¸aÓ@Ñ€L�*Ü˜°
¨|Ô<€FÜ˜ Ó,€JÙ�tÐ&˜vÑ&Ð&r4   Ú	componentc                 óâ   — | j                   €y 	 t        j                  | j                   «      }|j                  S # t        t        j
                  f$ r}t        d| › d|› �«       Y d }~y d }~ww xY w)NzFailed parsing docstring for z: )r8   Údocstring_parserÚparseÚshort_descriptionr}   Ú
ParseErrorr   )ro  Ú	docstringÚexs      r3   ræ   ræ   >  sp   € Ø×ÑÐ ØðJÜ$×*Ñ*¨9×+<Ñ+<Ó=ˆ	Ø×*Ñ*Ð*øÜÔ(×3Ñ3Ð4ò JÜÐ6°y°kÀÀBÀ4ÐH×IÑIûðJús   �*: ºA.ÁA)Á)A.r8  c                 óz   — t        | «      r/t        | t        «      st        j                  | «      j
                  S | S r.   )rQ   rR   rS   ÚinspectÚ	signatureÚreturn_annotation)r8  s    r3   r'  r'  H  s.   € Ü�„œz¨%´Ô6Ü× Ñ  Ó'×9Ñ9Ð9Ø€Lr4   rÓ   r÷   c                 ór   — |j                  d«      }|d d D ]  }|| v sJ d|› d�«       ‚| |   } Œ || |d   <   y )Nrü   éÿÿÿÿzExpected key z to be in data)Úsplit)rÓ   r÷   r8  r¸   r»   s        r3   Ú_set_dict_nestedr~  N  sV   € Ø�9‰9�S‹>€DØ�#�2ˆYò ˆØ�D‰yÐ=˜M¨#¨¨nÐ=Ó=ˆyØ�A‰w‰ðð €Dˆˆb‰‚Nr4   c            
       óB   — e Zd Zdededdfd„Zdee   dede	d	edef
d
„Z
y)r&  r#  r÷   r,   Nc                 ó    — || _         || _        y r.   r"  )r1   r#  r÷   s      r3   r0   z_InstantiatorFn.__init__W  s   € ØˆŒØˆ�r4   rø   r*   Úapplied_instantiation_linksr+   c                óF  — | j                   j                  «        | j                   j                  j                  | j                  i «      }d|v r+d|d   i|j                  di «      ¥|j                  di «      ¥}|j                  «       D ]k  \  }}|j                  | j                  › d�«      sŒ%|t        | j                  › d�«      d  }|j                  d«      r|t        d«      d  }t        |||«       Œm t        |d¬«      5   ||i |¤Žcd d d «       S # 1 sw Y   y xY w)	Nr  r
  ra  r  rü   z
init_args.z(pytorch_lightning.cli.instantiate_module)r  Úinstantiator)
r#  r   r  rç   r÷   r¹   Ú
startswithrý   r~  r   )r1   rø   r�  r*   r+   r  r÷   r8  s           r3   Ú__call__z_InstantiatorFn.__call__[  s(  € ð 	�‰×ÑÔØ—(‘(×&Ñ&×*Ñ*¨4¯8©8°RÓ8ˆØ˜7Ñ"ð
 ˜w |Ñ4ðà—+‘+˜k¨2Ó.ðð —+‘+˜m¨RÓ0ðˆGð 6×;Ñ;Ó=ò 	2‰JˆC�Ø—>‘> T§X¡X J¨a .Ô1ØØ”c˜TŸX™X˜J a˜.Ó)Ð+Ð,ˆCØ�~‰~˜lÔ+Øœ#˜lÓ+Ð-Ð.�Ü˜W c¨5Õ1ð	2ô ,ØØCô
ñ 	/ñ ˜tÐ. vÑ.÷		/÷ 	/ò 	/ús   ÄDÄD )r5   r6   r7   r—   r9   r0   rS   r%   r   r   r…  r”   r4   r3   r&  r&  V  sV   „ ð˜Lð ¨sð °tó ð/à˜Ñ$ð/ð ð/ð &*ð	/ð
 ð/ð 
ô/r4   r&  ru   c                 ó@  — t        d¬«      }d|v rE|j                  | dd¬«       |d   |j                  «       D ��ci c]  \  }}|dk7  sŒ||“Œ c}}dœ}n|j                  | dd¬«       |j	                  d|i«      }|j                  |«      }|j                  S c c}}w )NF)Úexit_on_errorr
  rm  )rN   r  )r   rV   r¹   rW   r  r±   rm  )rø   ru   rt   r»   r¼   Úcfgrf  s          r3   Úinstantiate_moduler‰  }  s§   € Ü¨%Ô0€FØ˜ÑØ×%Ñ% j°(ÈÐ%ÔOà  Ñ/Ø-3¯\©\«^×R¡T Q¨¸qÀMÓ?Q˜A˜q™DÓRñ
‰ð
 	×"Ñ" :¨xÀeÐ"ÔLØ
×
Ñ
˜x¨Ð0Ó
1€CØ×%Ñ% cÓ*€DØ�;‰;Ðùó Ss   ¼BÁ
Br.   )Wrx  r…   rþ   Úcollections.abcr   Ú	functoolsr   r   Úpathlibr   Útypesr   Útypingr   r	   r
   r   r   r  r  Ú lightning_utilities.core.importsr   Ú"lightning_utilities.core.rank_zeror   Útorch.optimr   Útorch.optim.lr_schedulerr   Útyping_extensionsr   Úpytorch_lightningrÂ   Ú#lightning_fabric.utilities.cloud_ior   r   r   r   r   r   Ú+pytorch_lightning.core.mixins.hparams_mixinr   Ú&pytorch_lightning.utilities.exceptionsr   Ú)pytorch_lightning.utilities.model_helpersr   Ú%pytorch_lightning.utilities.rank_zeror   rD   rq  Újsonargparser   r   r   r   r    r!   ÚImportErrorr#   ÚobjectÚlocalsr%   Úoptimri   r'   rm   r^  rS   rq   rp   r9   r   r\  ÚOptimizerCallableÚLRSchedulerCallabler=   rs   r—   r`  rI  rõ   rf   rJ  ræ   r'  r~  r&  r‰  r”   r4   r3   ú<module>r¡     sà  ðó Û 	Û 
Ý $ß -Ý Ý ß :Õ :ã Û Ý =Ý 4Ý !Ý 0Ý &ã Ý >ß fÕ fÝ VÝ LÝ CÝ @á%5Ð6XÓ%YÐ "á%Û÷õ ñ ' uÔ-ð2Ý5á¸TÖBð "(�FƒHÐÑØ"�FƒHˆ[Ñá�\Ó"€
ô
˜Ÿ™×0Ñ0×BÑBô 
ð $Ð%6Ð7Ð Ø˜[Ð*;Ð;Ñ<Ð Ø˜˜[Ñ)¨4Ð0AÑ+BÐBÑC€ð �E˜$˜s™) T¨#¨s¨(¡^°YÐ>Ñ?Ñ@€Ø˜h˜Z¨Ð2Ñ3Ð Ø 	˜{¨E°+Ð?PÐ2PÑ,QÐQÑRÐ ô~H˜nô ~HôB^˜ô ^÷BU9ñ U9ðp= tð =°ó =ð
 OSñ\Øð\Ø!)¨%°	¸4ÀÀSÀ¹>Ð0IÑ*JÑ!Kð\à	ˆ#ˆsˆ(�^ó\ð¨$ð °8¸Y¸KÈÈcÐSVÈhÉÐ<WÑ3Xó ð'˜E # u¨S°#¨X¡Ð"6Ñ7ð '¸tÀCÈÀH¹~ð 'ÐRUó 'ð(J fð J°¸#±ó Jð˜E (¨D .Ñ1ð °dó ð˜4ð  cð °#ð ¸$ó ÷$/ñ $/ðN 4¨
Ñ#3ð ¸TÀ#ÀsÀ(¹^ð ÐPZô øðI ò 2Ý5á¨D×1Ð1ð2ús   Â0G8 Ç8HÈH