




'''simple docstring'''


from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

_snake_case : str  				=						TypeVar('T')

class      A       (						Generic[T]       ):
							lowercase_							     =							42  # Cache store of keys
							lowercase_							     =							42  # References of the keys in cache
							lowercase_							     =							10  # Maximum capacity of cache







							def __init__(    self			:    str				,     lowerCAmelCase_			:    str   )     ->				Optional[Any]:


														"""simple docstring"""


														_a      	=							deque()
														_a      	=							set()
														if not n:
																					_a      	=							sys.maxsize
														elif n < 0:
																					raise ValueError('''n should be an integer greater than 0.'''   )
														else:
																					_a      	=							n







							def   __lowerCAmelCase     (    self			:    Any				,     lowerCAmelCase_			:    Any   )     ->				Union[str, Any]:


														"""simple docstring"""


														if x not in self.key_reference:
																					if len(self.dq_store   ) == LRUCache._MAX_CAPACITY:
																												_a      	=							self.dq_store.pop()
																												self.key_reference.remove(_lowerCAmelCase   )
														else:
																					self.dq_store.remove(_lowerCAmelCase   )

														self.dq_store.appendleft(_lowerCAmelCase   )
														self.key_reference.add(_lowerCAmelCase   )







							def   __lowerCAmelCase     (    self			:    int   )     ->				List[str]:


														"""simple docstring"""


														for k in self.dq_store:
																					print(_lowerCAmelCase   )







							def __repr__(    self			:    List[str]   )     ->				Dict:


														"""simple docstring"""


														return F'LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store   )}'


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				_snake_case : LRUCache[str | int]  				=						LRUCache(4)
				lru_cache.refer('A')
				lru_cache.refer(2)
				lru_cache.refer(3)
				lru_cache.refer('A')
				lru_cache.refer(4)
				lru_cache.refer(5)
				lru_cache.display()

				print(lru_cache)
				assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"








from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream





class 				a			(      __lowercase			):






				def __init__(  self			, _lowerCAmelCase			, _lowerCAmelCase = None			, _lowerCAmelCase = None			, _lowerCAmelCase = False			, _lowerCAmelCase = False			, _lowerCAmelCase = None			, _lowerCAmelCase = None			, **_lowerCAmelCase			, ):

										"""simple docstring"""




										super().__init__(
										    features=_lowerCAmelCase			, cache_dir=_lowerCAmelCase			, keep_in_memory=_lowerCAmelCase			, streaming=_lowerCAmelCase			, num_proc=_lowerCAmelCase			, **_lowerCAmelCase			, )
										__SCREAMING_SNAKE_CASE:				Any           =   Generator(
										    cache_dir=_lowerCAmelCase			, features=_lowerCAmelCase			, generator=_lowerCAmelCase			, gen_kwargs=_lowerCAmelCase			, **_lowerCAmelCase			, )






				def 			snake_case_    (  self					):

										"""simple docstring"""




										if self.streaming:
																__SCREAMING_SNAKE_CASE:				List[str]           =   self.builder.as_streaming_dataset(split='''train'''					)
										# Build regular (map-style) dataset
										else:
																__SCREAMING_SNAKE_CASE:				str           =   None
																__SCREAMING_SNAKE_CASE:				List[Any]           =   None
																__SCREAMING_SNAKE_CASE:				Tuple           =   None
																__SCREAMING_SNAKE_CASE:				Optional[Any]           =   None

																self.builder.download_and_prepare(
																    download_config=_lowerCAmelCase			, download_mode=_lowerCAmelCase			, verification_mode=_lowerCAmelCase			, base_path=_lowerCAmelCase			, num_proc=self.num_proc			, )
																__SCREAMING_SNAKE_CASE:				List[str]           =   self.builder.as_dataset(
																    split='''train'''			, verification_mode=_lowerCAmelCase			, in_memory=self.keep_in_memory					)
										return dataset



