'''simple docstring'''


from math import pow, sqrt

def   A_      (       *SCREAMING_SNAKE_CASE_						)			->bool:
  lowercase_     =       len(SCREAMING_SNAKE_CASE_						) > 0 and all(value > 0.0 for value in values						)
  return result

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->float | ValueError:
  return (
      round(sqrt(molar_mass_a / molar_mass_a						) ,	6						)
      if validate(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      else ValueError("""Input Error: Molar mass values must greater than 0."""						)
  )

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->float | ValueError:
  return (
      round(effusion_rate * sqrt(molar_mass_a / molar_mass_a						) ,	6						)
      if validate(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      else ValueError(
          """Input Error: Molar mass and effusion rate values must greater than 0."""						)
  )

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->float | ValueError:
  return (
      round(effusion_rate / sqrt(molar_mass_a / molar_mass_a						) ,	6						)
      if validate(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      else ValueError(
          """Input Error: Molar mass and effusion rate values must greater than 0."""						)
  )

def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->float | ValueError:
  return (
      round(molar_mass / pow(effusion_rate_a / effusion_rate_a ,	2						) ,	6						)
      if validate(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      else ValueError(
          """Input Error: Molar mass and effusion rate values must greater than 0."""						)
  )




def   A_      (       SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)			->float | ValueError:
  return (
      round(pow(effusion_rate_a / effusion_rate_a ,	2						) / molar_mass ,	6						)
      if validate(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_						)
      else ValueError(
          """Input Error: Molar mass and effusion rate values must greater than 0."""						)
  )


'''simple docstring'''


from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case						  =		{"""configuration_focalnet""": ["""FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FocalNetConfig"""]}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __snake_case						  =		[
           """FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """FocalNetForImageClassification""",
           """FocalNetForMaskedImageModeling""",
           """FocalNetBackbone""",
           """FocalNetModel""",
           """FocalNetPreTrainedModel""",
       ]

if TYPE_CHECKING:
       from .configuration_focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_focalnet import (
                  FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                  FocalNetBackbone,
                  FocalNetForImageClassification,
                  FocalNetForMaskedImageModeling,
                  FocalNetModel,
                  FocalNetPreTrainedModel,
              )

else:
       import sys

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

