






from collections.abc import Callable

a 			=							Callable[[float], float]  # type alias for a real -> real function
def    a__    (	A		,					A		,					A		,					):
   lowercase__    :						Optional[Any]       =			float(A       )
   while True:
      try:
         lowercase__    :						Union[str, Any]       =			prev_guess - function(A       ) / derivative(A       )
      except ZeroDivisionError:
         raise ZeroDivisionError("""Could not find root"""       ) from None
      if abs(prev_guess - next_guess       ) < 10**-5:
         return next_guess
      lowercase__    :						int       =			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))










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


a 			=							{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a 			=							[
     'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
     'MobileViTV2ForImageClassification',
     'MobileViTV2ForSemanticSegmentation',
     'MobileViTV2Model',
     'MobileViTV2PreTrainedModel',
 ]

if TYPE_CHECKING:
 from .configuration_mobilevitva import (
     MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
     MobileViTVaConfig,
     MobileViTVaOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_mobilevitva import (
      MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
      MobileViTVaForImageClassification,
      MobileViTVaForSemanticSegmentation,
      MobileViTVaModel,
      MobileViTVaPreTrainedModel,
  )

else:
 import sys

 a 			=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


