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


a_					      = get_logger(__name__)





def      __lowercase  (		lowerCamelCase      :  Union[str, 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 	_lowercase		(      a_ ):
 lowercase         =     False  # to tell pytest it's not a test class

 @staticmethod
 def 		SCREAMING_SNAKE_CASE__     (				snake_case			:							Tuple    )     ->		Optional[int]:

  """simple docstring"""





  UpperCamelCase_      :		Dict				=      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			:							Union[str, Any]     ,   snake_case			:							Union[str, Any]     ,   snake_case			:							List[Any]     ,   snake_case			:							Dict     ,   snake_case			:							List[str]     ,   snake_case			:							Optional[Any]     ,   snake_case			:							Optional[int]     ,   snake_case			:							Optional[int]     ,   snake_case			:							Tuple     ,   snake_case			:							Any     ,   )     ->		Tuple:

  """simple docstring"""





  UpperCamelCase_      :		Tuple				=      dataset
  UpperCamelCase_      :		List[Any]				=      name
  UpperCamelCase_      :		Optional[Any]				=      cache_dir
  UpperCamelCase_      :		str				=      data_dir
  UpperCamelCase_      :		int				=      all_configs
  UpperCamelCase_      :		int				=      save_infos
  UpperCamelCase_      :		str				=      ignore_verifications
  UpperCamelCase_      :		str				=      force_redownload
  UpperCamelCase_      :		Union[str, 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:
   UpperCamelCase_      :		Optional[Any]				=      True


 def 		SCREAMING_SNAKE_CASE__     (				self			:							Tuple    )     ->		Optional[Any]:

  """simple docstring"""





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

    # Move dataset_info back to the user
    if dataset_dir is not None:
     UpperCamelCase_      :		Union[str, Any]				=      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_      :		Optional[Any]				=      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.'    )




from __future__ import annotations

from collections import deque
from queue import Queue
from timeit import timeit

a_					      = {
    'A': ['B', 'C'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B'],
    'E': ['B', 'F'],
    'F': ['C', 'E'],
}





def      __lowercase  (		lowerCamelCase      :  dict						,						lowerCamelCase      :  str			):
 UpperCamelCase_      :		Tuple				=      {start}
 UpperCamelCase_      :		Optional[Any]				=      [start]
 UpperCamelCase_      :		Queue				=      Queue()
 queue.put(lowerCamelCase			)
 while not queue.empty():
  UpperCamelCase_      :		Union[str, Any]				=      queue.get()
  for w in graph[v]:
   if w not in explored:
    explored.add(lowerCamelCase			)
    result.append(lowerCamelCase			)
    queue.put(lowerCamelCase			)
 return result





def      __lowercase  (		lowerCamelCase      :  dict						,						lowerCamelCase      :  str			):
 UpperCamelCase_      :		Dict				=      {start}
 UpperCamelCase_      :		Optional[int]				=      [start]
 UpperCamelCase_      :		Union[str, Any]				=      deque([start]			)
 while queue:
  UpperCamelCase_      :		Optional[int]				=      queue.popleft()
  for child in graph[v]:
   if child not in visited:
    visited.add(lowerCamelCase			)
    result.append(lowerCamelCase			)
    queue.append(lowerCamelCase			)
 return result





def      __lowercase  (		lowerCamelCase      :  str			):
 UpperCamelCase_      :		str				=      F"from __main__ import G, {name}"
 UpperCamelCase_      :		int				=      10000
 UpperCamelCase_      :		Optional[Any]				=      timeit(F"{name}(G, 'A')"						,						setup=lowerCamelCase						,						number=lowerCamelCase			)
 print(F"{name:<35} finished {number} runs in {res:.5f} seconds"			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   benchmark_function('breadth_first_search')
   benchmark_function('breadth_first_search_with_deque')
   # breadth_first_search                finished 10000 runs in 0.20999 seconds
   # breadth_first_search_with_deque     finished 10000 runs in 0.01421 seconds



