import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


__lowerCamelCase :     int          =  get_logger(__name__)




def 				_snake_case     (       lowerCAmelCase							:       Dict     ):
		"""simple docstring"""







		return TestCommand(
		    args.dataset       ,			args.name       ,			args.cache_dir       ,			args.data_dir       ,			args.all_configs       ,			args.save_info or args.save_infos       ,			args.ignore_verifications       ,			args.force_redownload       ,			args.clear_cache       ,			)







class 		a__						( A__ ):
					A     	=							False  # to tell pytest it's not a test class

					@staticmethod
					def     __UpperCamelCase       (   _A				:	ArgumentParser   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Dict    				=   parser.add_parser("test",help="Test dataset implementation."   )
							test_parser.add_argument("--name",type=_A,default=_A,help="Dataset processing name"   )
							test_parser.add_argument(
							    "--cache_dir",type=_A,default=_A,help="Cache directory where the datasets are stored.",)
							test_parser.add_argument(
							    "--data_dir",type=_A,default=_A,help="Can be used to specify a manual directory to get the files from.",)
							test_parser.add_argument("--all_configs",action="store_true",help="Test all dataset configurations"   )
							test_parser.add_argument(
							    "--save_info",action="store_true",help="Save the dataset infos in the dataset card (README.md)"   )
							test_parser.add_argument(
							    "--ignore_verifications",action="store_true",help="Run the test without checksums and splits checks.",)
							test_parser.add_argument("--force_redownload",action="store_true",help="Force dataset redownload"   )
							test_parser.add_argument(
							    "--clear_cache",action="store_true",help="Remove downloaded files and cached datasets after each config test",)
							# aliases
							test_parser.add_argument("--save_infos",action="store_true",help="alias to save_info"   )
							test_parser.add_argument("dataset",type=_A,help="Name of the dataset to download"   )
							test_parser.set_defaults(func=_test_command_factory   )

					def __init__(   self				:	Tuple,_A				:	str,_A				:	str,_A				:	str,_A				:	str,_A				:	bool,_A				:	bool,_A				:	bool,_A				:	bool,_A				:	bool,):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   dataset
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   name
							SCREAMING_SNAKE_CASE_  :		str    				=   cache_dir
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   data_dir
							SCREAMING_SNAKE_CASE_  :		int    				=   all_configs
							SCREAMING_SNAKE_CASE_  :		Any    				=   save_infos
							SCREAMING_SNAKE_CASE_  :		Optional[int]    				=   ignore_verifications
							SCREAMING_SNAKE_CASE_  :		Tuple    				=   force_redownload
							SCREAMING_SNAKE_CASE_  :		Any    				=   clear_cache
							if clear_cache and not cache_dir:
									print(
									    "When --clear_cache is used, specifying a cache directory is mandatory.\n"
									    "The 'download' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n"
									    "Please provide a --cache_dir that will be used to test the dataset script."   )
									exit(1   )
							if save_infos:
									SCREAMING_SNAKE_CASE_  :		int    				=   True






					def     __UpperCamelCase       (   self				:	Dict   ):







							"""simple docstring"""






							fl_logger().setLevel(_A   )
							if self._name is not None and self._all_configs:
									print("Both parameters `config` and `all_configs` can't be used at once."   )
									exit(1   )
							SCREAMING_SNAKE_CASE_  :		int    				=   self._dataset, self._name
							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   dataset_module_factory(_A   )
							SCREAMING_SNAKE_CASE_  :		Dict    				=   import_main_class(module.module_path   )
							SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   len(builder_cls.BUILDER_CONFIGS   ) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

							def get_builders() -> Generator[DatasetBuilder, None, None]:
									if self._all_configs and builder_cls.BUILDER_CONFIGS:
											for i, config in enumerate(builder_cls.BUILDER_CONFIGS   ):
													if "config_name" in module.builder_kwargs:
															yield builder_cls(
															    cache_dir=self._cache_dir,data_dir=self._data_dir,**module.builder_kwargs,)
													else:
															yield builder_cls(
															    config_name=config.name,cache_dir=self._cache_dir,data_dir=self._data_dir,**module.builder_kwargs,)
									else:
											if "config_name" in module.builder_kwargs:
													yield builder_cls(cache_dir=self._cache_dir,data_dir=self._data_dir,**module.builder_kwargs   )
											else:
													yield builder_cls(
													    config_name=_A,cache_dir=self._cache_dir,data_dir=self._data_dir,**module.builder_kwargs,)

							for j, builder in enumerate(get_builders()   ):
									print(F'Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'   )
									SCREAMING_SNAKE_CASE_  :		int    				=   os.path.exists(
									    os.path.join(builder.get_imported_module_dir(),datasets.config.DATASETDICT_INFOS_FILENAME   )   )  # record checksums only if we need to update a (deprecated) dataset_infos.json
									builder.download_and_prepare(
									    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
									    if not self._force_redownload
									    else DownloadMode.FORCE_REDOWNLOAD,verification_mode=VerificationMode.NO_CHECKS
									    if self._ignore_verifications
									    else VerificationMode.ALL_CHECKS,try_from_hf_gcs=_A,)
									builder.as_dataset()
									if self._save_infos:
											builder._save_infos()

									# If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
									# The dataset_infos are saved in the YAML part of the README.md

									# Let's move it to the original directory of the dataset script, to allow the user to
									# upload them on S3 at the same time afterwards.
									if self._save_infos:
											SCREAMING_SNAKE_CASE_  :		int    				=   os.path.join(builder_cls.get_imported_module_dir(),"README.md"   )
											SCREAMING_SNAKE_CASE_  :		Dict    				=   Path(_A   ).name + ".py"
											SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   os.path.join(_A,_A   )
											if os.path.isfile(_A   ):
													SCREAMING_SNAKE_CASE_  :		str    				=   os.path.dirname(_A   )
											elif os.path.isfile(_A   ):
													SCREAMING_SNAKE_CASE_  :		Optional[Any]    				=   path
											elif os.path.isdir(_A   ):  # for local directories containing only data files
													SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   path
											else:  # in case of a remote dataset
													SCREAMING_SNAKE_CASE_  :		int    				=   None
													print(F'Dataset card saved at {dataset_readme_path}'   )

											# Move dataset_info back to the user
											if dataset_dir is not None:
													SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   os.path.join(_A,"README.md"   )
													copyfile(_A,_A   )
													print(F'Dataset card saved at {user_dataset_readme_path}'   )

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
									if self._clear_cache:
											if os.path.isdir(builder._cache_dir   ):
													logger.warning(F'Clearing cache at {builder._cache_dir}'   )
													rmtree(builder._cache_dir   )
											SCREAMING_SNAKE_CASE_  :		Any    				=   os.path.join(self._cache_dir,datasets.config.DOWNLOADED_DATASETS_DIR   )
											if os.path.isdir(_A   ):
													logger.warning(F'Clearing cache at {download_dir}'   )
													rmtree(_A   )

							print("Test successful."   )

from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    '''cross_attention''',
    '''0.20.0''',
    '''Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.''',
    standard_warn=False,
)


__lowerCamelCase :     str          =  AttentionProcessor






class 		a__						( A__ ):

					def __init__(   self				:	Tuple,*_A				:	Union[str, Any],**_A				:	Any   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Any    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	str,*_A				:	Optional[Any],**_A				:	List[str]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	str,*_A				:	Dict,**_A				:	Optional[int]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Any    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	List[Any],*_A				:	List[str],**_A				:	str   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Tuple    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	Optional[int],*_A				:	Any,**_A				:	int   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		Union[str, Any]    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	Union[str, Any],*_A				:	Union[str, Any],**_A				:	Any   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	Dict,*_A				:	Dict,**_A				:	Optional[Any]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		List[Any]    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )







class 		a__						( A__ ):

					def __init__(   self				:	int,*_A				:	Dict,**_A				:	Union[str, Any]   ):







							"""simple docstring"""






							SCREAMING_SNAKE_CASE_  :		str    				=   F'{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {"".join(self.__class__.__name__.split("Cross"   )   )} instead.'
							deprecate("cross_attention","0.20.0",_A,standard_warn=_A   )
							super().__init__(*_A,**_A   )
