
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


_UpperCAmelCase   :					Tuple    =			get_logger(__name__)


def  A			(   lowercase					)  ->    str:
		'''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 							lowercase   (						SCREAMING_SNAKE_CASE__  ):
		__lowercase			:			Optional[int]      	=							False  # to tell pytest it's not a test class



		@staticmethod
		def __UpperCamelCase					(					A_			)    ->   str:
				"""simple docstring"""
				UpperCamelCase            =	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							, A_							, A_							, A_							, A_							, A_							, A_							, A_							, A_							, A_							, )    ->   str:
				"""simple docstring"""
				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 __UpperCamelCase					(					self			)    ->   List[Any]:
				"""simple docstring"""
				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			)
				UpperCamelCase            =	self._dataset, self._name
				UpperCamelCase            =	dataset_module_factory(lowerCAmelCase_			)
				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=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})'''			)
						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=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:
								UpperCamelCase            =	os.path.join(builder_cls.get_imported_module_dir()							, 'README.md'			)
								UpperCamelCase            =	Path(lowerCAmelCase_			).name + '''.py'''
								UpperCamelCase            =	os.path.join(lowerCAmelCase_							, lowerCAmelCase_			)
								if os.path.isfile(lowerCAmelCase_			):
										UpperCamelCase            =	os.path.dirname(lowerCAmelCase_			)
								elif os.path.isfile(lowerCAmelCase_			):
										UpperCamelCase            =	path
								elif os.path.isdir(lowerCAmelCase_			):  # 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(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			)
								UpperCamelCase            =	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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase__						:	List[str]	     = logging.get_logger(__name__)

UpperCAmelCase__						:	str	     = {
    'flaubert/flaubert_small_cased': 'https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json',
    'flaubert/flaubert_base_uncased': 'https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json',
    'flaubert/flaubert_base_cased': 'https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json',
    'flaubert/flaubert_large_cased': 'https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json',
}






class UpperCAmelCase  (		SCREAMING_SNAKE_CASE__  ):





   '''simple docstring'''
   __UpperCamelCase						:       Tuple												=       '''flaubert'''
   __UpperCamelCase						:       str												=       {
       '''hidden_size''': '''emb_dim''',
       '''num_attention_heads''': '''n_heads''',
       '''num_hidden_layers''': '''n_layers''',
       '''n_words''': '''vocab_size''',  # For backward compatibility
   }


   def __init__(   self	:				Union[str, Any]     ,     lowerCAmelCase_	:				Union[str, Any]=False     ,     lowerCAmelCase_	:				List[str]=0.0     ,     lowerCAmelCase_	:				Dict=3_0_1_4_5     ,     lowerCAmelCase_	:				Tuple=2_0_4_8     ,     lowerCAmelCase_	:				List[Any]=1_2     ,     lowerCAmelCase_	:				str=1_6     ,     lowerCAmelCase_	:				Union[str, Any]=0.1     ,     lowerCAmelCase_	:				List[str]=0.1     ,     lowerCAmelCase_	:				str=True     ,     lowerCAmelCase_	:				Optional[int]=False     ,     lowerCAmelCase_	:				Any=False     ,     lowerCAmelCase_	:				int=False     ,     lowerCAmelCase_	:				int=1     ,     lowerCAmelCase_	:				List[str]=True     ,     lowerCAmelCase_	:				Dict=5_1_2     ,     lowerCAmelCase_	:				Any=2_0_4_8**-0.5     ,     lowerCAmelCase_	:				List[str]=1e-12     ,     lowerCAmelCase_	:				Any=0.02     ,     lowerCAmelCase_	:				Optional[Any]=0     ,     lowerCAmelCase_	:				Union[str, Any]=1     ,     lowerCAmelCase_	:				List[Any]=2     ,     lowerCAmelCase_	:				Dict=3     ,     lowerCAmelCase_	:				Optional[Any]=5     ,     lowerCAmelCase_	:				Any=True     ,     lowerCAmelCase_	:				Union[str, Any]="first"     ,     lowerCAmelCase_	:				List[Any]=True     ,     lowerCAmelCase_	:				Tuple=None     ,     lowerCAmelCase_	:				Optional[int]=True     ,     lowerCAmelCase_	:				int=0.1     ,     lowerCAmelCase_	:				Optional[int]=5     ,     lowerCAmelCase_	:				Union[str, Any]=5     ,     lowerCAmelCase_	:				List[Any]=0     ,     lowerCAmelCase_	:				Dict=0     ,     lowerCAmelCase_	:				Union[str, Any]=2     ,     lowerCAmelCase_	:				Optional[int]=0     ,     **lowerCAmelCase_	:				Any     ,     ):

      """simple docstring"""
      _A:    List[str]						     =			pre_norm
      _A:    List[Any]						     =			layerdrop
      _A:    Dict						     =			vocab_size
      _A:    List[Any]						     =			emb_dim
      _A:    Optional[Any]						     =			n_layers
      _A:    Union[str, Any]						     =			n_heads
      _A:    Optional[Any]						     =			dropout
      _A:    Optional[Any]						     =			attention_dropout
      _A:    Dict						     =			gelu_activation
      _A:    Tuple						     =			sinusoidal_embeddings
      _A:    Tuple						     =			causal
      _A:    List[Any]						     =			asm
      _A:    Dict						     =			n_langs
      _A:    Optional[int]						     =			use_lang_emb
      _A:    Any						     =			layer_norm_eps
      _A:    str						     =			bos_index
      _A:    Optional[int]						     =			eos_index
      _A:    int						     =			pad_index
      _A:    Tuple						     =			unk_index
      _A:    int						     =			mask_index
      _A:    int						     =			is_encoder
      _A:    Union[str, Any]						     =			max_position_embeddings
      _A:    List[str]						     =			embed_init_std
      _A:    List[str]						     =			init_std
      _A:    Tuple						     =			summary_type
      _A:    List[str]						     =			summary_use_proj
      _A:    Union[str, Any]						     =			summary_activation
      _A:    Union[str, Any]						     =			summary_proj_to_labels
      _A:    int						     =			summary_first_dropout
      _A:    Optional[Any]						     =			start_n_top
      _A:    Optional[Any]						     =			end_n_top
      _A:    Dict						     =			mask_token_id
      _A:    str						     =			lang_id

      if "n_words" in kwargs:
         _A:    int						     =			kwargs['''n_words''']

      super().__init__(pad_token_id=lowerCAmelCase_     ,     bos_token_id=lowerCAmelCase_     ,     **lowerCAmelCase_	)






class UpperCAmelCase  (		SCREAMING_SNAKE_CASE__  ):





   '''simple docstring'''


   @property
   def 					__magic_name__							(   self	:				Tuple	):

      """simple docstring"""
      if self.task == "multiple-choice":
         _A:    int						     =			{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
      else:
         _A:    Any						     =			{0: '''batch''', 1: '''sequence'''}
      return OrderedDict(
          [
              ('''input_ids''', dynamic_axis),
              ('''attention_mask''', dynamic_axis),
          ]	)



