






'''simple docstring'''



from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE							=						TypeVar('KEY')
SCREAMING_SNAKE_CASE							=						TypeVar('VAL')
@dataclass(frozen=__A					,							slots=__A					)
class UpperCAmelCase_       (     Generic[KEY, VAL]					):




      """simple docstring"""




      UpperCamelCase_             =      42
      UpperCamelCase_             =      42





class UpperCAmelCase_       (     _Item					):




      """simple docstring"""




      def __init__(			self      :		Dict		)	->	None:


       '''simple docstring'''

       super().__init__(UpperCAmelCase  ,   UpperCAmelCase		)






      def __bool__(			self      :		Any		)	->	bool:


       '''simple docstring'''

       return False





SCREAMING_SNAKE_CASE							=						_DeletedItem()
class UpperCAmelCase_       (     MutableMapping[KEY, VAL]					):




      """simple docstring"""




      def __init__(			self      :		str  ,   UpperCAmelCase      :		int = 8  ,   UpperCAmelCase      :		float = 0.7_5		)	->	None:


       '''simple docstring'''

       lowercase       : Dict						=initial_block_size
       lowercase       : list[_Item | None]						=[None] * initial_block_size
       assert 0.0 < capacity_factor < 1.0
       lowercase       : Tuple						=capacity_factor
       lowercase       : Union[str, Any]						=0






      def 					A__   (			self      :		List[str]  ,   UpperCAmelCase      :		KEY		)	->	int:


       '''simple docstring'''

       return hash(UpperCAmelCase		) % len(self._buckets		)






      def 					A__   (			self      :		Optional[Any]  ,   UpperCAmelCase      :		int		)	->	int:


       '''simple docstring'''

       return (ind + 1) % len(self._buckets		)






      def 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		int  ,   UpperCAmelCase      :		KEY  ,   UpperCAmelCase      :		VAL		)	->	bool:


       '''simple docstring'''

       lowercase       : Union[str, Any]						=self._buckets[ind]
       if not stored:
        lowercase       : List[Any]						=_Item(UpperCAmelCase  ,   UpperCAmelCase		)
        self._len += 1
        return True
       elif stored.key == key:
        lowercase       : List[Any]						=_Item(UpperCAmelCase  ,   UpperCAmelCase		)
        return True
       else:
        return False






      def 					A__   (			self      :		List[Any]		)	->	bool:


       '''simple docstring'''

       lowercase       : Optional[int]						=len(self._buckets		) * self._capacity_factor
       return len(self		) >= int(UpperCAmelCase		)






      def 					A__   (			self      :		Union[str, Any]		)	->	bool:


       '''simple docstring'''

       if len(self._buckets		) <= self._initial_block_size:
        return False
       lowercase       : List[str]						=len(self._buckets		) * self._capacity_factor / 2
       return len(self		) < limit






      def 					A__   (			self      :		List[Any]  ,   UpperCAmelCase      :		int		)	->	None:


       '''simple docstring'''

       lowercase       : str						=self._buckets
       lowercase       : Tuple						=[None] * new_size
       lowercase       : Tuple						=0
       for item in old_buckets:
        if item:
         self._add_item(item.key  ,   item.val		)






      def 					A__   (			self      :		Optional[int]		)	->	None:


       '''simple docstring'''

       self._resize(len(self._buckets		) * 2		)






      def 					A__   (			self      :		List[str]		)	->	None:


       '''simple docstring'''

       self._resize(len(self._buckets		) // 2		)






      def 					A__   (			self      :		List[str]  ,   UpperCAmelCase      :		KEY		)	->	Iterator[int]:


       '''simple docstring'''

       lowercase       : int						=self._get_bucket_index(UpperCAmelCase		)
       for _ in range(len(self._buckets		)		):
        yield ind
        lowercase       : int						=self._get_next_ind(UpperCAmelCase		)






      def 					A__   (			self      :		Any  ,   UpperCAmelCase      :		KEY  ,   UpperCAmelCase      :		VAL		)	->	None:


       '''simple docstring'''

       for ind in self._iterate_buckets(UpperCAmelCase		):
        if self._try_set(UpperCAmelCase  ,   UpperCAmelCase  ,   UpperCAmelCase		):
         break






      def __setitem__(			self      :		Optional[int]  ,   UpperCAmelCase      :		KEY  ,   UpperCAmelCase      :		VAL		)	->	None:


       '''simple docstring'''

       if self._is_full():
        self._size_up()

       self._add_item(UpperCAmelCase  ,   UpperCAmelCase		)






      def __delitem__(			self      :		List[str]  ,   UpperCAmelCase      :		KEY		)	->	None:


       '''simple docstring'''

       for ind in self._iterate_buckets(UpperCAmelCase		):
        lowercase       : Optional[int]						=self._buckets[ind]
        if item is None:
         raise KeyError(UpperCAmelCase		)
        if item is _deleted:
         continue
        if item.key == key:
         lowercase       : Optional[int]						=_deleted
         self._len -= 1
         break
       if self._is_sparse():
        self._size_down()






      def __getitem__(			self      :		Any  ,   UpperCAmelCase      :		KEY		)	->	VAL:


       '''simple docstring'''

       for ind in self._iterate_buckets(UpperCAmelCase		):
        lowercase       : str						=self._buckets[ind]
        if item is None:
         break
        if item is _deleted:
         continue
        if item.key == key:
         return item.val
       raise KeyError(UpperCAmelCase		)






      def __len__(			self      :		str		)	->	int:


       '''simple docstring'''

       return self._len






      def __iter__(			self      :		Optional[Any]		)	->	Iterator[KEY]:


       '''simple docstring'''

       yield from (item.key for item in self._buckets if item)






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


       '''simple docstring'''

       lowercase       : str						=''' ,'''.join(
           f'{item.key}: {item.val}' for item in self._buckets if item		)
       return f'HashMap({val_string})'





"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


SCREAMING_SNAKE_CASE_					     =	{
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	[
			    '''RagModel''',
			    '''RagPreTrainedModel''',
			    '''RagSequenceForGeneration''',
			    '''RagTokenForGeneration''',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			SCREAMING_SNAKE_CASE_					     =	[
			    '''TFRagModel''',
			    '''TFRagPreTrainedModel''',
			    '''TFRagSequenceForGeneration''',
			    '''TFRagTokenForGeneration''',
			]


if TYPE_CHECKING:
			from .configuration_rag import RagConfig
			from .retrieval_rag import RagRetriever
			from .tokenization_rag import RagTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_rag import (
						    TFRagModel,
						    TFRagPreTrainedModel,
						    TFRagSequenceForGeneration,
						    TFRagTokenForGeneration,
						)

else:
			import sys

			SCREAMING_SNAKE_CASE_					     =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
