


from typing import TYPE_CHECKING

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


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

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

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

     _snake_case   = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)







from collections.abc import Callable

_snake_case   = Callable[[float], float]  # type alias for a real -> real function







def   A   (		A__		,		A__		,		A__		,		):
     UpperCAmelCase						:				Any		  =			float(A__ )
     while True:
          try:
               UpperCAmelCase						:				Optional[Any]		  =			prev_guess - function(A__ ) / derivative(A__ )
          except ZeroDivisionError:
               raise ZeroDivisionError("Could not find root" ) from None
          if abs(prev_guess - next_guess ) < 1_0**-5:
               return next_guess
          UpperCAmelCase						:				List[str]		  =			next_guess







def   A   (		A__ ):
     return (x**3) - (2 * x) - 5







def   A   (		A__ ):
     return 3 * (x**2) - 2


if __name__ == "__main__":
      print(newton(f, fa, 3))



