




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 :    List[str]      						=      get_logger(__name__)







def 		lowercase__ (		__A:						Optional[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  lowerCamelCase     (		_lowerCamelCase    ):






			'''simple docstring'''





			UpperCamelCase__										=False  # to tell pytest it's not a test class

			@staticmethod
			def 				UpperCAmelCase__							(			lowerCamelCase_      : ArgumentParser	)    -> Optional[int]:
								__magic_name__				:						int     				=				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      : List[str]							,    lowerCamelCase_      : str							,    lowerCamelCase_      : str							,    lowerCamelCase_      : str							,    lowerCamelCase_      : str							,    lowerCamelCase_      : bool							,    lowerCamelCase_      : bool							,    lowerCamelCase_      : bool							,    lowerCamelCase_      : bool							,    lowerCamelCase_      : bool							,    )    -> List[str]:
								__magic_name__				:						List[str]     				=				dataset
								__magic_name__				:						Tuple     				=				name
								__magic_name__				:						str     				=				cache_dir
								__magic_name__				:						Dict     				=				data_dir
								__magic_name__				:						Union[str, Any]     				=				all_configs
								__magic_name__				:						Any     				=				save_infos
								__magic_name__				:						Any     				=				ignore_verifications
								__magic_name__				:						int     				=				force_redownload
								__magic_name__				:						Tuple     				=				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:
													__magic_name__				:						List[Any]     				=				True


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

																		# Move dataset_info back to the user
																		if dataset_dir is not None:
																							__magic_name__				:						Optional[Any]     				=				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	)
																		__magic_name__				:						Tuple     				=				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 typing import TYPE_CHECKING

from ..utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_tf_available, is_torch_available


__lowerCamelCase :    Tuple      						=      {
    '''configuration_utils''': ['''GenerationConfig'''],
    '''streamers''': ['''TextIteratorStreamer''', '''TextStreamer'''],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase :    Any      						=      [
	    '''Constraint''',
	    '''ConstraintListState''',
	    '''DisjunctiveConstraint''',
	    '''PhrasalConstraint''',
	]
	__lowerCamelCase :    int      						=      [
	    '''BeamHypotheses''',
	    '''BeamScorer''',
	    '''BeamSearchScorer''',
	    '''ConstrainedBeamSearchScorer''',
	]
	__lowerCamelCase :    Union[str, Any]      						=      [
	    '''EpsilonLogitsWarper''',
	    '''EtaLogitsWarper''',
	    '''ForcedBOSTokenLogitsProcessor''',
	    '''ForcedEOSTokenLogitsProcessor''',
	    '''HammingDiversityLogitsProcessor''',
	    '''InfNanRemoveLogitsProcessor''',
	    '''LogitsProcessor''',
	    '''LogitsProcessorList''',
	    '''LogitsWarper''',
	    '''MinLengthLogitsProcessor''',
	    '''MinNewTokensLengthLogitsProcessor''',
	    '''NoBadWordsLogitsProcessor''',
	    '''NoRepeatNGramLogitsProcessor''',
	    '''PrefixConstrainedLogitsProcessor''',
	    '''RepetitionPenaltyLogitsProcessor''',
	    '''SequenceBiasLogitsProcessor''',
	    '''EncoderRepetitionPenaltyLogitsProcessor''',
	    '''TemperatureLogitsWarper''',
	    '''TopKLogitsWarper''',
	    '''TopPLogitsWarper''',
	    '''TypicalLogitsWarper''',
	    '''EncoderNoRepeatNGramLogitsProcessor''',
	    '''ExponentialDecayLengthPenalty''',
	    '''LogitNormalization''',
	]
	__lowerCamelCase :    Union[str, Any]      						=      [
	    '''MaxNewTokensCriteria''',
	    '''MaxLengthCriteria''',
	    '''MaxTimeCriteria''',
	    '''StoppingCriteria''',
	    '''StoppingCriteriaList''',
	    '''validate_stopping_criteria''',
	]
	__lowerCamelCase :    Union[str, Any]      						=      [
	    '''GenerationMixin''',
	    '''top_k_top_p_filtering''',
	    '''GreedySearchEncoderDecoderOutput''',
	    '''GreedySearchDecoderOnlyOutput''',
	    '''SampleEncoderDecoderOutput''',
	    '''SampleDecoderOnlyOutput''',
	    '''BeamSearchEncoderDecoderOutput''',
	    '''BeamSearchDecoderOnlyOutput''',
	    '''BeamSampleEncoderDecoderOutput''',
	    '''BeamSampleDecoderOnlyOutput''',
	    '''ContrastiveSearchEncoderDecoderOutput''',
	    '''ContrastiveSearchDecoderOnlyOutput''',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase :    Tuple      						=      [
	    '''TFForcedBOSTokenLogitsProcessor''',
	    '''TFForcedEOSTokenLogitsProcessor''',
	    '''TFLogitsProcessor''',
	    '''TFLogitsProcessorList''',
	    '''TFLogitsWarper''',
	    '''TFMinLengthLogitsProcessor''',
	    '''TFNoBadWordsLogitsProcessor''',
	    '''TFNoRepeatNGramLogitsProcessor''',
	    '''TFRepetitionPenaltyLogitsProcessor''',
	    '''TFTemperatureLogitsWarper''',
	    '''TFTopKLogitsWarper''',
	    '''TFTopPLogitsWarper''',
	    '''TFForceTokensLogitsProcessor''',
	    '''TFSuppressTokensAtBeginLogitsProcessor''',
	    '''TFSuppressTokensLogitsProcessor''',
	]
	__lowerCamelCase :    Any      						=      [
	    '''TFGenerationMixin''',
	    '''tf_top_k_top_p_filtering''',
	    '''TFGreedySearchDecoderOnlyOutput''',
	    '''TFGreedySearchEncoderDecoderOutput''',
	    '''TFSampleEncoderDecoderOutput''',
	    '''TFSampleDecoderOnlyOutput''',
	    '''TFBeamSearchEncoderDecoderOutput''',
	    '''TFBeamSearchDecoderOnlyOutput''',
	    '''TFBeamSampleEncoderDecoderOutput''',
	    '''TFBeamSampleDecoderOnlyOutput''',
	    '''TFContrastiveSearchEncoderDecoderOutput''',
	    '''TFContrastiveSearchDecoderOnlyOutput''',
	]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase :    Optional[int]      						=      [
	    '''FlaxForcedBOSTokenLogitsProcessor''',
	    '''FlaxForcedEOSTokenLogitsProcessor''',
	    '''FlaxLogitsProcessor''',
	    '''FlaxLogitsProcessorList''',
	    '''FlaxLogitsWarper''',
	    '''FlaxMinLengthLogitsProcessor''',
	    '''FlaxTemperatureLogitsWarper''',
	    '''FlaxTopKLogitsWarper''',
	    '''FlaxTopPLogitsWarper''',
	]
	__lowerCamelCase :    Union[str, Any]      						=      [
	    '''FlaxGenerationMixin''',
	    '''FlaxGreedySearchOutput''',
	    '''FlaxSampleOutput''',
	    '''FlaxBeamSearchOutput''',
	]

if TYPE_CHECKING:
	from .configuration_utils import GenerationConfig
	from .streamers import TextIteratorStreamer, TextStreamer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .beam_constraints import Constraint, ConstraintListState, DisjunctiveConstraint, PhrasalConstraint
		from .beam_search import BeamHypotheses, BeamScorer, BeamSearchScorer, ConstrainedBeamSearchScorer
		from .logits_process import (
		    EncoderNoRepeatNGramLogitsProcessor,
		    EncoderRepetitionPenaltyLogitsProcessor,
		    EpsilonLogitsWarper,
		    EtaLogitsWarper,
		    ExponentialDecayLengthPenalty,
		    ForcedBOSTokenLogitsProcessor,
		    ForcedEOSTokenLogitsProcessor,
		    HammingDiversityLogitsProcessor,
		    InfNanRemoveLogitsProcessor,
		    LogitNormalization,
		    LogitsProcessor,
		    LogitsProcessorList,
		    LogitsWarper,
		    MinLengthLogitsProcessor,
		    MinNewTokensLengthLogitsProcessor,
		    NoBadWordsLogitsProcessor,
		    NoRepeatNGramLogitsProcessor,
		    PrefixConstrainedLogitsProcessor,
		    RepetitionPenaltyLogitsProcessor,
		    SequenceBiasLogitsProcessor,
		    TemperatureLogitsWarper,
		    TopKLogitsWarper,
		    TopPLogitsWarper,
		    TypicalLogitsWarper,
		)
		from .stopping_criteria import (
		    MaxLengthCriteria,
		    MaxNewTokensCriteria,
		    MaxTimeCriteria,
		    StoppingCriteria,
		    StoppingCriteriaList,
		    validate_stopping_criteria,
		)
		from .utils import (
		    BeamSampleDecoderOnlyOutput,
		    BeamSampleEncoderDecoderOutput,
		    BeamSearchDecoderOnlyOutput,
		    BeamSearchEncoderDecoderOutput,
		    ContrastiveSearchDecoderOnlyOutput,
		    ContrastiveSearchEncoderDecoderOutput,
		    GenerationMixin,
		    GreedySearchDecoderOnlyOutput,
		    GreedySearchEncoderDecoderOutput,
		    SampleDecoderOnlyOutput,
		    SampleEncoderDecoderOutput,
		    top_k_top_p_filtering,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tf_logits_process import (
		    TFForcedBOSTokenLogitsProcessor,
		    TFForcedEOSTokenLogitsProcessor,
		    TFForceTokensLogitsProcessor,
		    TFLogitsProcessor,
		    TFLogitsProcessorList,
		    TFLogitsWarper,
		    TFMinLengthLogitsProcessor,
		    TFNoBadWordsLogitsProcessor,
		    TFNoRepeatNGramLogitsProcessor,
		    TFRepetitionPenaltyLogitsProcessor,
		    TFSuppressTokensAtBeginLogitsProcessor,
		    TFSuppressTokensLogitsProcessor,
		    TFTemperatureLogitsWarper,
		    TFTopKLogitsWarper,
		    TFTopPLogitsWarper,
		)
		from .tf_utils import (
		    TFBeamSampleDecoderOnlyOutput,
		    TFBeamSampleEncoderDecoderOutput,
		    TFBeamSearchDecoderOnlyOutput,
		    TFBeamSearchEncoderDecoderOutput,
		    TFContrastiveSearchDecoderOnlyOutput,
		    TFContrastiveSearchEncoderDecoderOutput,
		    TFGenerationMixin,
		    TFGreedySearchDecoderOnlyOutput,
		    TFGreedySearchEncoderDecoderOutput,
		    TFSampleDecoderOnlyOutput,
		    TFSampleEncoderDecoderOutput,
		    tf_top_k_top_p_filtering,
		)

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .flax_logits_process import (
		    FlaxForcedBOSTokenLogitsProcessor,
		    FlaxForcedEOSTokenLogitsProcessor,
		    FlaxLogitsProcessor,
		    FlaxLogitsProcessorList,
		    FlaxLogitsWarper,
		    FlaxMinLengthLogitsProcessor,
		    FlaxTemperatureLogitsWarper,
		    FlaxTopKLogitsWarper,
		    FlaxTopPLogitsWarper,
		)
		from .flax_utils import FlaxBeamSearchOutput, FlaxGenerationMixin, FlaxGreedySearchOutput, FlaxSampleOutput
else:
	import sys

	__lowerCamelCase :    int      						=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



