






import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate





@dataclass(frozen=A__       )
class 			__a  (    A__       ):
 _lowerCAmelCase       :       str        = field(default='''automatic-speech-recognition'''       ,   metadata={'''include_in_asdict_even_if_is_default''': True}       )
 _lowerCAmelCase       :       ClassVar[Features]        = Features({'''audio''': Audio()}       )
 _lowerCAmelCase       :       ClassVar[Features]        = Features({'''transcription''': Value('''string'''       )}       )
 _lowerCAmelCase       :       str        = "audio"
 _lowerCAmelCase       :       str        = "transcription"







 def 					__lowercase					(		self					:   Dict							,   SCREAMING_SNAKE_CASE					:   List[Any]						):


      '''simple docstring'''






      if self.audio_column not in features:
           raise ValueError(F'Column {self.audio_column} is not present in features.'						)
      if not isinstance(features[self.audio_column]							,   SCREAMING_SNAKE_CASE						):
           raise ValueError(F'Column {self.audio_column} is not an Audio type.'						)
      UpperCamelCase__			:   Union[str, Any]       				=  copy.deepcopy(self						)
      UpperCamelCase__			:   Union[str, Any]       				=  self.input_schema.copy()
      UpperCamelCase__			:   Tuple       				=  features[self.audio_column]
      UpperCamelCase__			:   Optional[Any]       				=  input_schema
      return task_template







 @property
 def 					__lowercase					(		self					:   Any						):


      '''simple docstring'''






      return {self.audio_column: "audio", self.transcription_column: "transcription"}







from __future__ import annotations

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

lowerCamelCase	:							int				=TypeVar('''T''')





class 			__a  (    Generic[T]       ):
 _lowerCAmelCase       :       deque[T]  # Cache store of keys
 _lowerCAmelCase       :       set[T]  # References of the keys in cache
 _lowerCAmelCase       :       int        = 1_0  # Maximum capacity of cache







 def __init__(		self					:   List[str]							,   SCREAMING_SNAKE_CASE					:   int						):


      '''simple docstring'''






      UpperCamelCase__			:   Tuple       				=  deque()
      UpperCamelCase__			:   Optional[int]       				=  set()
      if not n:
           UpperCamelCase__			:   Tuple       				=  sys.maxsize
      elif n < 0:
           raise ValueError("n should be an integer greater than 0."						)
      else:
           UpperCamelCase__			:   Dict       				=  n







 def 					__lowercase					(		self					:   List[Any]							,   SCREAMING_SNAKE_CASE					:   T						):


      '''simple docstring'''






      if x not in self.key_reference:
           if len(self.dq_store						) == LRUCache._MAX_CAPACITY:
                UpperCamelCase__			:   int       				=  self.dq_store.pop()
                self.key_reference.remove(SCREAMING_SNAKE_CASE						)
      else:
           self.dq_store.remove(SCREAMING_SNAKE_CASE						)

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







 def 					__lowercase					(		self					:   Dict						):


      '''simple docstring'''






      for k in self.dq_store:
           print(SCREAMING_SNAKE_CASE						)







 def __repr__(		self					:   Union[str, Any]						):


      '''simple docstring'''






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


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 lowerCamelCase	:							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]"