




'''simple docstring'''







import math





def 						snake_case_							(_a	:							float    ,   _a	:							float     ):
    return math.pow(_a    ,   2     ) - a





def 						snake_case_							(_a	:							float     ):
    return 2 * x





def 						snake_case_							(_a	:							float     ):
    UpperCAmelCase			       =		2.0

    while start <= a:
        UpperCAmelCase			       =		math.pow(_a    ,   2     )

    return start





def 						snake_case_							(_a	:							float    ,   _a	:							int = 9_9_9_9    ,   _a	:							float = 0.00_0000_0000_0001     ):

    if a < 0:
        raise ValueError('''math domain error'''     )

    UpperCAmelCase			       =		get_initial_point(_a     )

    for _ in range(_a     ):
        UpperCAmelCase			       =		value
        UpperCAmelCase			       =		value - fx(_a    ,   _a     ) / fx_derivative(_a     )
        if abs(prev_value - value     ) < tolerance:
            return value

    return value


if __name__ == "__main__":
   from doctest import testmod

   testmod()











'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase					:     int												={
    '''configuration_bigbird_pegasus''': [
        '''BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BigBirdPegasusConfig''',
        '''BigBirdPegasusOnnxConfig''',
    ],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase					:     Any												=[
     '''BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST''',
     '''BigBirdPegasusForCausalLM''',
     '''BigBirdPegasusForConditionalGeneration''',
     '''BigBirdPegasusForQuestionAnswering''',
     '''BigBirdPegasusForSequenceClassification''',
     '''BigBirdPegasusModel''',
     '''BigBirdPegasusPreTrainedModel''',
 ]


if TYPE_CHECKING:
 from .configuration_bigbird_pegasus import (
     BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BigBirdPegasusConfig,
     BigBirdPegasusOnnxConfig,
 )

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bigbird_pegasus import (
      BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
      BigBirdPegasusForCausalLM,
      BigBirdPegasusForConditionalGeneration,
      BigBirdPegasusForQuestionAnswering,
      BigBirdPegasusForSequenceClassification,
      BigBirdPegasusModel,
      BigBirdPegasusPreTrainedModel,
  )


else:
 import sys

 lowerCAmelCase					:     Dict												=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


