
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


__SCREAMING_SNAKE_CASE			:   Dict         =     get_logger(__name__)
def     UpperCAmelCase__							(       __magic_name__						:     Union[str, Any]  ):


					'''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 		__magic_name__   (						snake_case    ):
		_lowerCAmelCase		=	False  # to tell pytest it's not a test class





		@staticmethod
		def       _A							(							lowerCamelCase__    :	ArgumentParser				):
							lowerCAmelCase		:					List[str]  	=     parser.add_parser('''test'''						,  help='''Test dataset implementation.'''				)
							test_parser.add_argument('''--name'''						,  type=lowerCamelCase__						,  default=lowerCamelCase__						,  help='''Dataset processing name'''				)
							test_parser.add_argument(
							    '''--cache_dir'''						,  type=lowerCamelCase__						,  default=lowerCamelCase__						,  help='''Cache directory where the datasets are stored.'''						,  )
							test_parser.add_argument(
							    '''--data_dir'''						,  type=lowerCamelCase__						,  default=lowerCamelCase__						,  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=lowerCamelCase__						,  help='''Name of the dataset to download'''				)
							test_parser.set_defaults(func=_test_command_factory				)





		def __init__(							self    :	Tuple						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  ):
							lowerCAmelCase		:					str  	=     dataset
							lowerCAmelCase		:					List[str]  	=     name
							lowerCAmelCase		:					List[str]  	=     cache_dir
							lowerCAmelCase		:					Optional[Any]  	=     data_dir
							lowerCAmelCase		:					Union[str, Any]  	=     all_configs
							lowerCAmelCase		:					Optional[Any]  	=     save_infos
							lowerCAmelCase		:					Any  	=     ignore_verifications
							lowerCAmelCase		:					List[str]  	=     force_redownload
							lowerCAmelCase		:					List[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:
												lowerCAmelCase		:					List[str]  	=     True





		def       _A							(							self    :	Any				):
							fl_logger().setLevel(lowerCamelCase__				)
							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				)
							lowerCAmelCase	,							lowerCAmelCase		:					str  	=     self._dataset, self._name
							lowerCAmelCase		:					Any  	=     dataset_module_factory(lowerCamelCase__				)
							lowerCAmelCase		:					Tuple  	=     import_main_class(module.module_path				)
							lowerCAmelCase		:					Optional[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=lowerCamelCase__						,  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})'''				)
												lowerCAmelCase		:					Any  	=     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=lowerCamelCase__						,  )
												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:
																	lowerCAmelCase		:					str  	=     os.path.join(builder_cls.get_imported_module_dir()						,  '''README.md'''				)
																	lowerCAmelCase		:					int  	=     Path(lowerCamelCase__				).name + '''.py'''
																	lowerCAmelCase		:					Optional[Any]  	=     os.path.join(lowerCamelCase__						,  lowerCamelCase__				)
																	if os.path.isfile(lowerCamelCase__				):
																						lowerCAmelCase		:					Tuple  	=     os.path.dirname(lowerCamelCase__				)
																	elif os.path.isfile(lowerCamelCase__				):
																						lowerCAmelCase		:					Optional[Any]  	=     path
																	elif os.path.isdir(lowerCamelCase__				):  # for local directories containing only data files
																						lowerCAmelCase		:					List[Any]  	=     path
																	else:  # in case of a remote dataset
																						lowerCAmelCase		:					str  	=     None
																						print(f'''Dataset card saved at {dataset_readme_path}'''				)

																	# Move dataset_info back to the user
																	if dataset_dir is not None:
																						lowerCAmelCase		:					List[str]  	=     os.path.join(lowerCamelCase__						,  '''README.md'''				)
																						copyfile(lowerCamelCase__						,  lowerCamelCase__				)
																						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				)
																	lowerCAmelCase		:					Union[str, Any]  	=     os.path.join(self._cache_dir						,  datasets.config.DOWNLOADED_DATASETS_DIR				)
																	if os.path.isdir(lowerCamelCase__				):
																						logger.warning(f'''Clearing cache at {download_dir}'''				)
																						rmtree(lowerCamelCase__				)

							print('''Test successful.'''				)


from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
		from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore


class 		__magic_name__   (						snake_case    ):
		_lowerCAmelCase		=	c_float





		@property
		def       _A							(							self    :	int				):
							return sizeof(self.value				)



def     UpperCAmelCase__							(       __magic_name__						:     int							,  __magic_name__						:     int							,  __magic_name__						:     int = 0  ):


					'''simple docstring'''

					if dimension <= 0:
										lowerCAmelCase		:					Tuple  	=     fixed_dimension

					dimension -= num_token_to_add
					return dimension
def     UpperCAmelCase__							(       __magic_name__						:     int							,  __magic_name__						:     ParameterFormat  ):


					'''simple docstring'''

					return num_parameters * dtype.size
def     UpperCAmelCase__							(       __magic_name__						:     str  ):


					'''simple docstring'''

					from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

					try:
										return AutoProcessor.from_pretrained(__magic_name__  )
					except (ValueError, OSError, KeyError):
										lowerCAmelCase	,							lowerCAmelCase		:					Any  	=     None, None
										try:
															lowerCAmelCase		:					Union[str, Any]  	=     AutoTokenizer.from_pretrained(__magic_name__  )
										except (OSError, KeyError):
															pass
										try:
															lowerCAmelCase		:					List[Any]  	=     AutoFeatureExtractor.from_pretrained(__magic_name__  )
										except (OSError, KeyError):
															pass

										if tokenizer is not None and feature_extractor is not None:
															raise ValueError(
															    f'''Couldn\'t auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor.'''  )
										elif tokenizer is None and feature_extractor is None:
															return None
										elif tokenizer is not None:
															return tokenizer
										else:
															return feature_extractor
