



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							=       get_logger(__name__)

def       A_   (						__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 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






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


							@staticmethod
							def _a   (				a_		):
											a__					   =		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	,	a_	,	a_	,	a_	,	a_	,	a_	,	a_	,	a_	,	a_	,	a_	,	):
											a__					   =		dataset
											a__					   =		name
											a__					   =		cache_dir
											a__					   =		data_dir
											a__					   =		all_configs
											a__					   =		save_infos
											a__					   =		ignore_verifications
											a__					   =		force_redownload
											a__					   =		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__					   =		True







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

																			# Move dataset_info back to the user
																			if dataset_dir is not None:
																							a__					   =		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__					   =		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."""		)







'''simple docstring'''


from __future__ import annotations

from collections.abc import Callable
from typing import Generic, TypeVar

UpperCamelCase			     =					TypeVar('''T''')
UpperCamelCase			     =					TypeVar('''U''')






class 						lowerCAmelCase_	(       Generic[T, U]							):







  '''simple docstring'''

  def __init__( self				:							Tuple					,  SCREAMING_SNAKE_CASE_				:							T | None					,  SCREAMING_SNAKE_CASE_				:							U | None	)			->		Any:







       '''simple docstring'''



       A:		Union[str, Any]          =		key
       A:		Union[str, Any]          =		val
       A:		int          =		0
       A:		DoubleLinkedListNode[T, U] | None          =		None
       A:		DoubleLinkedListNode[T, U] | None          =		None




  def __repr__( self				:							Any	)			->		str:







       '''simple docstring'''



       return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
           self.key					,  self.val					,  self.freq					,  self.next is not None					,  self.prev is not None	)






class 						lowerCAmelCase_	(       Generic[T, U]							):







  '''simple docstring'''

  def __init__( self				:							int	)			->		None:







       '''simple docstring'''



       A:		DoubleLinkedListNode[T, U]          =		DoubleLinkedListNode(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_	)
       A:		DoubleLinkedListNode[T, U]          =		DoubleLinkedListNode(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_	)
       A     ,    A:		Any          =		self.rear, self.head



  def __repr__( self				:							Optional[int]	)			->		str:







       '''simple docstring'''



       A:		int          =		['''DoubleLinkedList''']
       A:		Dict          =		self.head
       while node.next is not None:
            rep.append(str(SCREAMING_SNAKE_CASE_	)	)
            A:		int          =		node.next
       rep.append(str(self.rear	)	)
       return ",\n    ".join(SCREAMING_SNAKE_CASE_	)



  def 					_snake_case     ( self				:							Any					,  SCREAMING_SNAKE_CASE_				:							DoubleLinkedListNode[T, U]	)			->		None:







       '''simple docstring'''



       A:		Union[str, Any]          =		self.rear.prev

       # All nodes other than self.head are guaranteed to have non-None previous
       assert previous is not None

       A:		Optional[int]          =		node
       A:		int          =		previous
       A:		Dict          =		node
       A:		int          =		self.rear
       node.freq += 1
       self._position_node(SCREAMING_SNAKE_CASE_	)



  def 					_snake_case     ( self				:							int					,  SCREAMING_SNAKE_CASE_				:							DoubleLinkedListNode[T, U]	)			->		None:







       '''simple docstring'''



       while node.prev is not None and node.prev.freq > node.freq:
            # swap node with previous node
            A:		Any          =		node.prev

            A:		Optional[Any]          =		previous_node.prev
            A:		int          =		node.prev
            A:		int          =		previous_node
            A:		Optional[int]          =		node




  def 					_snake_case     ( self				:							Dict					,  SCREAMING_SNAKE_CASE_				:							DoubleLinkedListNode[T, U]	)			->		DoubleLinkedListNode[T, U] | None:







       '''simple docstring'''



       if node.prev is None or node.next is None:
            return None

       A:		List[Any]          =		node.next
       A:		Dict          =		node.prev
       A:		str          =		None
       A:		Union[str, Any]          =		None
       return node






class 						lowerCAmelCase_	(       Generic[T, U]							):







  '''simple docstring'''

  UpperCamelCase_			:      dict[Callable[[T], U], LFUCache[T, U]]										=				{}



  def __init__( self				:							List[str]					,  SCREAMING_SNAKE_CASE_				:							int	)			->		int:







       '''simple docstring'''



       A:		DoubleLinkedList[T, U]          =		DoubleLinkedList()
       A:		Any          =		capacity
       A:		List[Any]          =		0
       A:		Dict          =		0
       A:		Dict          =		0
       A:		dict[T, DoubleLinkedListNode[T, U]]          =		{}



  def __repr__( self				:							Optional[int]	)			->		str:







       '''simple docstring'''



       return (
           f"""CacheInfo(hits={self.hits}, misses={self.miss}, """
           f"""capacity={self.capacity}, current_size={self.num_keys})"""
       )



  def __contains__( self				:							str					,  SCREAMING_SNAKE_CASE_				:							T	)			->		bool:







       '''simple docstring'''



       return key in self.cache



  def 					_snake_case     ( self				:							Dict					,  SCREAMING_SNAKE_CASE_				:							T	)			->		U | None:







       '''simple docstring'''



       if key in self.cache:
            self.hits += 1
            A:		DoubleLinkedListNode[T, U]          =		self.cache[key]
            A:		List[str]          =		self.list.remove(self.cache[key]	)
            assert node == value_node

            # node is guaranteed not None because it is in self.cache
            assert node is not None
            self.list.add(SCREAMING_SNAKE_CASE_	)
            return node.val
       self.miss += 1
       return None



  def 					_snake_case     ( self				:							List[str]					,  SCREAMING_SNAKE_CASE_				:							T					,  SCREAMING_SNAKE_CASE_				:							U	)			->		None:







       '''simple docstring'''



       if key not in self.cache:
            if self.num_keys >= self.capacity:
                 # delete first node when over capacity
                 A:		List[Any]          =		self.list.head.next

                 # guaranteed to have a non-None first node when num_keys > 0
                 # explain to type checker via assertions
                 assert first_node is not None
                 assert first_node.key is not None
                 assert self.list.remove(SCREAMING_SNAKE_CASE_	) is not None
                 # first_node guaranteed to be in list

                 del self.cache[first_node.key]
                 self.num_keys -= 1
            A:		Tuple          =		DoubleLinkedListNode(SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_	)
            self.list.add(self.cache[key]	)
            self.num_keys += 1

       else:
            A:		Optional[Any]          =		self.list.remove(self.cache[key]	)
            assert node is not None  # node guaranteed to be in list
            A:		List[str]          =		value
            self.list.add(SCREAMING_SNAKE_CASE_	)




  @classmethod
  def 					_snake_case     ( cls				:							type[LFUCache[T, U]]					,  SCREAMING_SNAKE_CASE_				:							int = 1_28	)			->		Callable[[Callable[[T], U]], Callable[..., U]]:







       '''simple docstring'''



       def cache_decorator_inner(SCREAMING_SNAKE_CASE_				:							Callable[[T], U]	) -> Callable[..., U]:
            def cache_decorator_wrapper(*SCREAMING_SNAKE_CASE_				:							T	) -> U:
                 if func not in cls.decorator_function_to_instance_map:
                      A:		Tuple          =		LFUCache(SCREAMING_SNAKE_CASE_	)

                 A:		List[Any]          =		cls.decorator_function_to_instance_map[func].get(args[0]	)
                 if result is None:
                      A:		List[str]          =		func(*SCREAMING_SNAKE_CASE_	)
                      cls.decorator_function_to_instance_map[func].put(args[0]					,  SCREAMING_SNAKE_CASE_	)
                 return result

            def cache_info() -> LFUCache[T, U]:
                 return cls.decorator_function_to_instance_map[func]

            setattr(SCREAMING_SNAKE_CASE_					,  '''cache_info'''					,  SCREAMING_SNAKE_CASE_	)  # noqa: B010

            return cache_decorator_wrapper

       return cache_decorator_inner


if __name__ == "__main__":
     import doctest

     doctest.testmod()






