code: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  lowerCamelCase			:							int       ={
      '''configuration_realm''': ['''REALM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''RealmConfig'''],
      '''tokenization_realm''': ['''RealmTokenizer'''],
  }
  
  try:
   if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   lowerCamelCase			:							Tuple       =['''RealmTokenizerFast''']
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   lowerCamelCase			:							Union[str, Any]       =[
       '''REALM_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''RealmEmbedder''',
       '''RealmForOpenQA''',
       '''RealmKnowledgeAugEncoder''',
       '''RealmPreTrainedModel''',
       '''RealmReader''',
       '''RealmScorer''',
       '''load_tf_weights_in_realm''',
   ]
   lowerCamelCase			:							Dict       =['''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
  
   lowerCamelCase			:							str       =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
style_context: 
  
  
  
  
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  def 	SCREAMING_SNAKE_CASE							(      __lowerCAmelCase    )				->			list[int]:
       assert (
           isinstance(__lowerCAmelCase      ,					__lowerCAmelCase    ) and mask > 0
       ), f'mask needs to be positive integer, your input {mask}'
       UpperCamelCase__    :     Any        =						[]
       UpperCamelCase__    :     int        =						mask
  
       while submask:
            all_submasks.append(__lowerCAmelCase    )
            UpperCamelCase__    :     List[str]        =						(submask - 1) & mask
  
       return all_submasks
  
  
  if __name__ == "__main__":
   import doctest
  
   doctest.testmod()