code: 
  
  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_       :				Optional[int]		   =      get_logger(__name__)
  def        __SCREAMING_SNAKE_CASE    (      a__						:      Optional[int]					)				->							Any:
  	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_			(  _lowercase  ):
  	_lowercase		:      Optional[int]    				=							False  # to tell pytest it's not a test class
  
  
  
  
  	@staticmethod
  	def 					lowerCAmelCase_					(    __A	:    ArgumentParser       ):
  		__A   : Any								= 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	:    Optional[Any]				,			__A	:    str				,			__A	:    str				,			__A	:    str				,			__A	:    str				,			__A	:    bool				,			__A	:    bool				,			__A	:    bool				,			__A	:    bool				,			__A	:    bool				,			):
  		__A   : str								= dataset
  		__A   : List[Any]								= name
  		__A   : Any								= cache_dir
  		__A   : Dict								= data_dir
  		__A   : Optional[int]								= all_configs
  		__A   : Optional[int]								= save_infos
  		__A   : List[Any]								= ignore_verifications
  		__A   : Optional[Any]								= force_redownload
  		__A   : List[str]								= 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:
  			__A   : List[str]								= True
  
  
  
  
  	def 					lowerCAmelCase_					(    self	:    int       ):
  		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       )
  		__A						,							__A   : List[Any]								= self._dataset, self._name
  		__A   : Any								= dataset_module_factory(__A       )
  		__A   : List[str]								= import_main_class(module.module_path       )
  		__A   : Tuple								= 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})"""       )
  			__A   : 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=__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:
  				__A   : Optional[int]								= os.path.join(builder_cls.get_imported_module_dir()				,			"""README.md"""       )
  				__A   : Optional[Any]								= Path(__A       ).name + """.py"""
  				__A   : List[str]								= os.path.join(__A				,			__A       )
  				if os.path.isfile(__A       ):
  					__A   : str								= os.path.dirname(__A       )
  				elif os.path.isfile(__A       ):
  					__A   : str								= path
  				elif os.path.isdir(__A       ):  # for local directories containing only data files
  					__A   : List[Any]								= path
  				else:  # in case of a remote dataset
  					__A   : Any								= None
  					print(F"""Dataset card saved at {dataset_readme_path}"""       )
  
  				# Move dataset_info back to the user
  				if dataset_dir is not None:
  					__A   : List[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       )
  				__A   : Optional[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."""       )
  
  
  
  
  
  
style_context: 
  
  UpperCAmelCase_       :				str		   =      [
      [0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
      [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
      [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0],
      [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
  ]
  def        __SCREAMING_SNAKE_CASE    (      a__						:      int ,a__						:      int ,a__						:      int ,a__						:      int					)				->							bool:
  	return 0 <= row < rows and 0 <= col < cols
  def        __SCREAMING_SNAKE_CASE    (      a__						:      int ,a__						:      int ,a__						:      set ,a__						:      list[list[int]]					)				->							int:
  	__A   : Union[str, Any]								= len(a__					)
  	__A   : Any								= len(mat[0]					)
  	if is_safe(a__ ,a__ ,a__ ,a__					) and (row, col) not in seen and mat[row][col] == 1:
  		seen.add((row, col)					)
  		return (
  		    1
  		    + depth_first_search(row + 1 ,a__ ,a__ ,a__					)
  		    + depth_first_search(row - 1 ,a__ ,a__ ,a__					)
  		    + depth_first_search(a__ ,col + 1 ,a__ ,a__					)
  		    + depth_first_search(a__ ,col - 1 ,a__ ,a__					)
  		)
  	else:
  		return 0
  def        __SCREAMING_SNAKE_CASE    (      a__						:      list[list[int]]					)				->							int:
  	__A   : set								= set()
  
  	__A   : Union[str, Any]								= 0
  	for row, line in enumerate(a__					):
  		for col, item in enumerate(a__					):
  			if item == 1 and (row, col) not in seen:
  				# Maximizing the area
  				__A   : Optional[Any]								= max(a__ ,depth_first_search(a__ ,a__ ,a__ ,a__					)					)
  	return max_area
  
  
  if __name__ == "__main__":
  			import doctest
  
  			print(find_max_area(matrix))  # Output -> 6
  			doctest.testmod()
  
  
  
  
  
  