code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_sentencepiece_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  A_    :					Union[str, Any]             ={"""configuration_t5""": ["""T5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """T5Config""", """T5OnnxConfig"""]}
  
  try:
  	if not is_sentencepiece_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					Optional[Any]             =["""T5Tokenizer"""]
  
  try:
  	if not is_tokenizers_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					List[str]             =["""T5TokenizerFast"""]
  
  try:
  	if not is_torch_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					str             =[
  	    """T5_PRETRAINED_MODEL_ARCHIVE_LIST""",
  	    """T5EncoderModel""",
  	    """T5ForConditionalGeneration""",
  	    """T5Model""",
  	    """T5PreTrainedModel""",
  	    """load_tf_weights_in_t5""",
  	    """T5ForQuestionAnswering""",
  	]
  
  try:
  	if not is_tf_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					Any             =[
  	    """TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST""",
  	    """TFT5EncoderModel""",
  	    """TFT5ForConditionalGeneration""",
  	    """TFT5Model""",
  	    """TFT5PreTrainedModel""",
  	]
  
  try:
  	if not is_flax_available():
  		raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  	pass
  else:
  	A_    :					str             =[
  	    """FlaxT5EncoderModel""",
  	    """FlaxT5ForConditionalGeneration""",
  	    """FlaxT5Model""",
  	    """FlaxT5PreTrainedModel""",
  	]
  
  
  if TYPE_CHECKING:
  	from .configuration_ta import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, TaConfig, TaOnnxConfig
  
  	try:
  		if not is_sentencepiece_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .tokenization_ta import TaTokenizer
  
  	try:
  		if not is_tokenizers_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .tokenization_ta_fast import TaTokenizerFast
  
  	try:
  		if not is_torch_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_ta import (
  		    T5_PRETRAINED_MODEL_ARCHIVE_LIST,
  		    TaEncoderModel,
  		    TaForConditionalGeneration,
  		    TaForQuestionAnswering,
  		    TaModel,
  		    TaPreTrainedModel,
  		    load_tf_weights_in_ta,
  		)
  
  	try:
  		if not is_tf_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_tf_ta import (
  		    TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
  		    TFTaEncoderModel,
  		    TFTaForConditionalGeneration,
  		    TFTaModel,
  		    TFTaPreTrainedModel,
  		)
  
  	try:
  		if not is_flax_available():
  			raise OptionalDependencyNotAvailable()
  	except OptionalDependencyNotAvailable:
  		pass
  	else:
  		from .modeling_flax_ta import (
  		    FlaxTaEncoderModel,
  		    FlaxTaForConditionalGeneration,
  		    FlaxTaModel,
  		    FlaxTaPreTrainedModel,
  		)
  
  
  else:
  	import sys
  
  	A_    :					str             =_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))