

'''simple docstring'''





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__)




from __future__ import annotations

class 						__snake_case						:
       """simple docstring"""







       def __init__(		self			,   _UpperCamelCase      )			->       None:






              """simple docstring"""


              __snake_case					  =       value
              __snake_case					  =       None
              __snake_case					  =       None






class 						__snake_case						:
       """simple docstring"""







       __SCREAMING_SNAKE_CASE													=       42


       def __init__(		self      )			->       None:






              """simple docstring"""


              __snake_case					  =       0


       def  a		(		self			,   _UpperCamelCase			,   _UpperCamelCase      )			->       None:






              """simple docstring"""


              if node is None:
                     return

              if path_sum == self.target:
                     self.paths += 1

              if node.left:
                     self.depth_first_search(node.left			,   path_sum + node.left.value      )
              if node.right:
                     self.depth_first_search(node.right			,   path_sum + node.right.value      )






       def  a		(		self			,   _UpperCamelCase			,   _UpperCamelCase = None      )			->       int:






              """simple docstring"""


              if node is None:
                     return 0
              if target is not None:
                     __snake_case					  =       target

              self.depth_first_search(_UpperCamelCase			,   node.value      )
              self.path_sum(node.left      )
              self.path_sum(node.right      )

              return self.paths


if __name__ == "__main__":
    import doctest

    doctest.testmod()

