




from __future__ import annotations

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

UpperCAmelCase_    :					Union[str, Any]					      =						TypeVar('''T''')
UpperCAmelCase_    :					List[str]					      =						TypeVar('''U''')





class       lowerCAmelCase				(	Generic[T, U]):


       def __init__(				self      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					) ->					Union[str, Any]:



            '''simple docstring'''




            __snake_case         =					key
            __snake_case         =					val
            __snake_case         =					0
            __snake_case         =					None
            __snake_case         =					None




       def __repr__(				self					) ->					Tuple:



            '''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]):


       def __init__(				self					) ->					str:



            '''simple docstring'''




            __snake_case         =					DoubleLinkedListNode(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					)
            __snake_case         =					DoubleLinkedListNode(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					)
            __snake_case   ,      __snake_case         =					self.rear, self.head


       def __repr__(				self					) ->					Any:



            '''simple docstring'''




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


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					int:



            '''simple docstring'''




            __snake_case         =					self.rear.prev

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

            __snake_case         =					node
            __snake_case         =					previous
            __snake_case         =					node
            __snake_case         =					self.rear
            node.freq += 1
            self._position_node(__SCREAMING_SNAKE_CASE					)


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					List[Any]:



            '''simple docstring'''




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

                 __snake_case         =					previous_node.prev
                 __snake_case         =					node.prev
                 __snake_case         =					previous_node
                 __snake_case         =					node




       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					Any:



            '''simple docstring'''




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

            __snake_case         =					node.next
            __snake_case         =					node.prev
            __snake_case         =					None
            __snake_case         =					None
            return node





class       lowerCAmelCase				(	Generic[T, U]):
       __lowercase					: List[Any]	    =     {}


       def __init__(				self      ,					__SCREAMING_SNAKE_CASE					) ->					str:



            '''simple docstring'''




            __snake_case         =					DoubleLinkedList()
            __snake_case         =					capacity
            __snake_case         =					0
            __snake_case         =					0
            __snake_case         =					0
            __snake_case         =					{}


       def __repr__(				self					) ->					int:



            '''simple docstring'''




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


       def __contains__(				self      ,					__SCREAMING_SNAKE_CASE					) ->					Any:



            '''simple docstring'''




            return key in self.cache


       def  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE					) ->					Optional[int]:



            '''simple docstring'''




            if key in self.cache:
                 self.hits += 1
                 __snake_case         =					self.cache[key]
                 __snake_case         =					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  lowerCAmelCase (				self      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					) ->					Any:



            '''simple docstring'''




            if key not in self.cache:
                 if self.num_keys >= self.capacity:
                      # delete first node when over capacity
                      __snake_case         =					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
                 __snake_case         =					DoubleLinkedListNode(__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE					)
                 self.list.add(self.cache[key]					)
                 self.num_keys += 1

            else:
                 __snake_case         =					self.list.remove(self.cache[key]					)
                 assert node is not None  # node guaranteed to be in list
                 __snake_case         =					value
                 self.list.add(__SCREAMING_SNAKE_CASE					)




       @classmethod
       def  lowerCAmelCase (				cls      ,					__SCREAMING_SNAKE_CASE = 128					) ->					Optional[int]:



            '''simple docstring'''




            def cache_decorator_inner(__SCREAMING_SNAKE_CASE					) -> Callable[..., U]:
                 def cache_decorator_wrapper(*__SCREAMING_SNAKE_CASE					) -> U:
                      if func not in cls.decorator_function_to_instance_map:
                           __snake_case         =					LFUCache(__SCREAMING_SNAKE_CASE					)

                      __snake_case         =					cls.decorator_function_to_instance_map[func].get(args[0]					)
                      if result is None:
                           __snake_case         =					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()












'''simple docstring'''



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[Any]					      =						get_logger(__name__)







def      _UpperCamelCase	(_lowerCamelCase							:       Dict		)->				Tuple:




     '''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       lowerCAmelCase				(	__lowerCAmelCase):
       __lowercase					: int	    =     False  # to tell pytest it's not a test class


       @staticmethod
       def  lowerCAmelCase (				__SCREAMING_SNAKE_CASE					) ->					Optional[int]:



            '''simple docstring'''




            __snake_case         =					parser.add_parser('''test'''      ,					help='''Test dataset implementation.'''					)
            test_parser.add_argument('''--name'''      ,					type=__SCREAMING_SNAKE_CASE      ,					default=__SCREAMING_SNAKE_CASE      ,					help='''Dataset processing name'''					)
            test_parser.add_argument(
                '''--cache_dir'''      ,					type=__SCREAMING_SNAKE_CASE      ,					default=__SCREAMING_SNAKE_CASE      ,					help='''Cache directory where the datasets are stored.'''      ,					)
            test_parser.add_argument(
                '''--data_dir'''      ,					type=__SCREAMING_SNAKE_CASE      ,					default=__SCREAMING_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=__SCREAMING_SNAKE_CASE      ,					help='''Name of the dataset to download'''					)
            test_parser.set_defaults(func=_test_command_factory					)


       def __init__(				self      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					__SCREAMING_SNAKE_CASE      ,					) ->					Any:



            '''simple docstring'''




            __snake_case         =					dataset
            __snake_case         =					name
            __snake_case         =					cache_dir
            __snake_case         =					data_dir
            __snake_case         =					all_configs
            __snake_case         =					save_infos
            __snake_case         =					ignore_verifications
            __snake_case         =					force_redownload
            __snake_case         =					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:
                 __snake_case         =					True




       def  lowerCAmelCase (				self					) ->					Dict:



            '''simple docstring'''




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

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

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






