




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			 =						get_logger(__name__)




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						Dict      )  ->							Tuple:
    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			):

     '''simple docstring'''





     lowerCAmelCase				:       List[str]   		=  False  # to tell pytest it's not a test class
     @staticmethod
     def   lowerCamelCase_   (	__snake_case   :			ArgumentParser				):
         UpperCAmelCase_							 =     parser.add_parser('''test'''					,    help='''Test dataset implementation.'''				)
         test_parser.add_argument('''--name'''					,    type=__snake_case					,    default=__snake_case					,    help='''Dataset processing name'''				)
         test_parser.add_argument(
             '''--cache_dir'''					,    type=__snake_case					,    default=__snake_case					,    help='''Cache directory where the datasets are stored.'''					,    )
         test_parser.add_argument(
             '''--data_dir'''					,    type=__snake_case					,    default=__snake_case					,    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=__snake_case					,    help='''Name of the dataset to download'''				)
         test_parser.set_defaults(func=_test_command_factory				)
     def __init__(	self   :			Optional[Any]					,    __snake_case   :			str					,    __snake_case   :			str					,    __snake_case   :			str					,    __snake_case   :			str					,    __snake_case   :			bool					,    __snake_case   :			bool					,    __snake_case   :			bool					,    __snake_case   :			bool					,    __snake_case   :			bool					,    ):
         UpperCAmelCase_							 =     dataset
         UpperCAmelCase_							 =     name
         UpperCAmelCase_							 =     cache_dir
         UpperCAmelCase_							 =     data_dir
         UpperCAmelCase_							 =     all_configs
         UpperCAmelCase_							 =     save_infos
         UpperCAmelCase_							 =     ignore_verifications
         UpperCAmelCase_							 =     force_redownload
         UpperCAmelCase_							 =     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:
             UpperCAmelCase_							 =     True




     def   lowerCamelCase_   (	self   :			Dict				):
         fl_logger().setLevel(__snake_case				)
         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				)
         UpperCAmelCase_ ,							UpperCAmelCase_							 =     self._dataset, self._name
         UpperCAmelCase_							 =     dataset_module_factory(__snake_case				)
         UpperCAmelCase_							 =     import_main_class(module.module_path				)
         UpperCAmelCase_							 =     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=__snake_case					,    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})'				)
             UpperCAmelCase_							 =     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=__snake_case					,    )
             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:
                 UpperCAmelCase_							 =     os.path.join(builder_cls.get_imported_module_dir()					,    '''README.md'''				)
                 UpperCAmelCase_							 =     Path(__snake_case				).name + '''.py'''
                 UpperCAmelCase_							 =     os.path.join(__snake_case					,    __snake_case				)
                 if os.path.isfile(__snake_case				):
                     UpperCAmelCase_							 =     os.path.dirname(__snake_case				)
                 elif os.path.isfile(__snake_case				):
                     UpperCAmelCase_							 =     path
                 elif os.path.isdir(__snake_case				):  # for local directories containing only data files
                     UpperCAmelCase_							 =     path
                 else:  # in case of a remote dataset
                     UpperCAmelCase_							 =     None
                     print(F'Dataset card saved at {dataset_readme_path}'				)

                 # Move dataset_info back to the user
                 if dataset_dir is not None:
                     UpperCAmelCase_							 =     os.path.join(__snake_case					,    '''README.md'''				)
                     copyfile(__snake_case					,    __snake_case				)
                     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				)
                 UpperCAmelCase_							 =     os.path.join(self._cache_dir					,    datasets.config.DOWNLOADED_DATASETS_DIR				)
                 if os.path.isdir(__snake_case				):
                     logger.warning(F'Clearing cache at {download_dir}'				)
                     rmtree(__snake_case				)

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










"""simple docstring"""







from typing import TYPE_CHECKING

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


UpperCAmelCase:   int       			=							{
    """configuration_utils""": ["""GenerationConfig"""],
    """streamers""": ["""TextIteratorStreamer""", """TextStreamer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase:   List[Any]       			=							[
		    """Constraint""",
		    """ConstraintListState""",
		    """DisjunctiveConstraint""",
		    """PhrasalConstraint""",
		]
		UpperCAmelCase:   Optional[Any]       			=							[
		    """BeamHypotheses""",
		    """BeamScorer""",
		    """BeamSearchScorer""",
		    """ConstrainedBeamSearchScorer""",
		]
		UpperCAmelCase:   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""",
		]
		UpperCAmelCase:   str       			=							[
		    """MaxNewTokensCriteria""",
		    """MaxLengthCriteria""",
		    """MaxTimeCriteria""",
		    """StoppingCriteria""",
		    """StoppingCriteriaList""",
		    """validate_stopping_criteria""",
		]
		UpperCAmelCase:   Optional[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:
		UpperCAmelCase:   Any       			=							[
		    """TFForcedBOSTokenLogitsProcessor""",
		    """TFForcedEOSTokenLogitsProcessor""",
		    """TFLogitsProcessor""",
		    """TFLogitsProcessorList""",
		    """TFLogitsWarper""",
		    """TFMinLengthLogitsProcessor""",
		    """TFNoBadWordsLogitsProcessor""",
		    """TFNoRepeatNGramLogitsProcessor""",
		    """TFRepetitionPenaltyLogitsProcessor""",
		    """TFTemperatureLogitsWarper""",
		    """TFTopKLogitsWarper""",
		    """TFTopPLogitsWarper""",
		    """TFForceTokensLogitsProcessor""",
		    """TFSuppressTokensAtBeginLogitsProcessor""",
		    """TFSuppressTokensLogitsProcessor""",
		]
		UpperCAmelCase:   Tuple       			=							[
		    """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:
		UpperCAmelCase:   Tuple       			=							[
		    """FlaxForcedBOSTokenLogitsProcessor""",
		    """FlaxForcedEOSTokenLogitsProcessor""",
		    """FlaxLogitsProcessor""",
		    """FlaxLogitsProcessorList""",
		    """FlaxLogitsWarper""",
		    """FlaxMinLengthLogitsProcessor""",
		    """FlaxTemperatureLogitsWarper""",
		    """FlaxTopKLogitsWarper""",
		    """FlaxTopPLogitsWarper""",
		]
		UpperCAmelCase:   int       			=							[
		    """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

		UpperCAmelCase:   Optional[Any]       			=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



