




'''simple docstring'''


def 						snake_case_       (UpperCamelCase			:    float					,		UpperCamelCase			:    float					,		UpperCamelCase			:    float					,		UpperCamelCase			:    float					,		UpperCamelCase			:    float					,		):





							'''simple docstring'''


							_a      	=							[redshift, radiation_density, matter_density, dark_energy]
							if any(p < 0 for p in parameters ):
														raise ValueError('''All input parameters must be positive''' )

							if any(p > 1 for p in parameters[1:4] ):
														raise ValueError('''Relative densities cannot be greater than one''' )
							else:
														_a      	=							1 - (matter_density + radiation_density + dark_energy)

														_a      	=							(
														    radiation_density * (redshift + 1) ** 4
														    + matter_density * (redshift + 1) ** 3
														    + curvature * (redshift + 1) ** 2
														    + dark_energy
														)

														_a      	=							hubble_constant * e_a ** (1 / 2)
														return hubble


if __name__ == "__main__":
				import doctest

				# run doctest
				doctest.testmod()

				# demo LCDM approximation
				_snake_case : List[str]  				=						0.3

				print(
				    hubble_parameter(
				        hubble_constant=68.3,
				        radiation_density=1E-4,
				        matter_density=matter_density,
				        dark_energy=1 - matter_density,
				        redshift=0,
				    )
				)





from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE			: Optional[Any]				   =					{
    "configuration_conditional_detr": [
        "CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ConditionalDetrConfig",
        "ConditionalDetrOnnxConfig",
    ]
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE			: Union[str, Any]				   =					["ConditionalDetrFeatureExtractor"]
 SCREAMING_SNAKE_CASE			: Optional[Any]				   =					["ConditionalDetrImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE			: Any				   =					[
     "CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ConditionalDetrForObjectDetection",
     "ConditionalDetrForSegmentation",
     "ConditionalDetrModel",
     "ConditionalDetrPreTrainedModel",
 ]


if TYPE_CHECKING:
 from .configuration_conditional_detr import (
     CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
     ConditionalDetrConfig,
     ConditionalDetrOnnxConfig,
 )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
  from .image_processing_conditional_detr import ConditionalDetrImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_conditional_detr import (
      CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
      ConditionalDetrForObjectDetection,
      ConditionalDetrForSegmentation,
      ConditionalDetrModel,
      ConditionalDetrPreTrainedModel,
  )

else:
 import sys

 SCREAMING_SNAKE_CASE			: str				   =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


