code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  A_    :					int             ={
      """configuration_realm""": ["""REALM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RealmConfig"""],
      """tokenization_realm""": ["""RealmTokenizer"""],
  }
  
  try:
  	if not is_tokenizers_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					Optional[int]             =["""RealmTokenizerFast"""]
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					Any             =[
  	    """REALM_PRETRAINED_MODEL_ARCHIVE_LIST""",
  	    """RealmEmbedder""",
  	    """RealmForOpenQA""",
  	    """RealmKnowledgeAugEncoder""",
  	    """RealmPreTrainedModel""",
  	    """RealmReader""",
  	    """RealmScorer""",
  	    """load_tf_weights_in_realm""",
  	]
  	A_    :					Tuple             =["""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
  
  	A_    :					Optional[Any]             =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
style_context: 
  
  
  from collections.abc import Callable
  
  A_    :					Any             =Callable[[float], float]  # type alias for a real -> real function
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__       ,    UpperCAmelCase__       ,    UpperCAmelCase__       ,    ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		float(UpperCAmelCase__      )
  						while True:
  												try:
  																		a_					=		prev_guess - function(UpperCAmelCase__      ) / derivative(UpperCAmelCase__      )
  												except ZeroDivisionError:
  																		raise ZeroDivisionError("""Could not find root"""      ) from None
  												if abs(prev_guess - next_guess      ) < 10**-5:
  																		return next_guess
  												a_					=		next_guess
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__      ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						return (x**3) - (2 * x) - 5
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__      ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						return 3 * (x**2) - 2
  
  
  if __name__ == "__main__":
  	print(newton(f, fa, 3))