


class 						UpperCAmelCase__   :



     '''simple docstring'''




     def __init__( self       :       Dict		):





            """simple docstring"""



            _lowercase					:				int           =			[]
            _lowercase					:				Optional[Any]           =			0
            _lowercase					:				List[Any]           =			0




     def __str__( self       :       Tuple		):





            """simple docstring"""



            _lowercase					:				Optional[Any]           =			'''<''' + str(self.entries		)[1:-1] + '''>'''
            return printed




     def   lowerCAmelCase_   ( self       :       Optional[Any]	,      UpperCamelCase       :       int		):





            """simple docstring"""



            self.entries.append(__snake_case		)
            _lowercase					:				int           =			self.length + 1




     def   lowerCAmelCase_   ( self       :       Tuple		):





            """simple docstring"""



            _lowercase					:				List[Any]           =			self.length - 1
            _lowercase					:				str           =			self.entries[self.front]
            # self.front-=1
            # self.entries = self.entries[self.front:]
            _lowercase					:				Any           =			self.entries[1:]
            return dequeued




     def   lowerCAmelCase_   ( self       :       Tuple	,      UpperCamelCase       :       Tuple		):





            """simple docstring"""



            for _ in range(__snake_case		):
                   self.put(self.get()		)




     def   lowerCAmelCase_   ( self       :       int		):





            """simple docstring"""



            return self.entries[0]




     def   lowerCAmelCase_   ( self       :       str		):





            """simple docstring"""



            return self.length



from typing import TYPE_CHECKING

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


UpperCamelCase__				       =			{
    'configuration_realm': ['REALM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RealmConfig'],
    'tokenization_realm': ['RealmTokenizer'],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCamelCase__				       =			['RealmTokenizerFast']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCamelCase__				       =			[
       'REALM_PRETRAINED_MODEL_ARCHIVE_LIST',
       'RealmEmbedder',
       'RealmForOpenQA',
       'RealmKnowledgeAugEncoder',
       'RealmPreTrainedModel',
       'RealmReader',
       'RealmScorer',
       'load_tf_weights_in_realm',
   ]
   UpperCamelCase__				       =			['RealmRetriever']


if TYPE_CHECKING:
   from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
   from .tokenization_realm import RealmTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_realm import RealmTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_realm import (
          REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
          RealmEmbedder,
          RealmForOpenQA,
          RealmKnowledgeAugEncoder,
          RealmPreTrainedModel,
          RealmReader,
          RealmScorer,
          load_tf_weights_in_realm,
      )
      from .retrieval_realm import RealmRetriever


else:
   import sys

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