


'''simple docstring'''

from typing import TYPE_CHECKING

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


a_  :				str						= {
    """configuration_conditional_detr""": [
        """CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """ConditionalDetrConfig""",
        """ConditionalDetrOnnxConfig""",
    ]
}

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

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     a_  :				Union[str, 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

     a_  :				Dict						= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""





def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE			)					->float:





  """simple docstring"""


  if discount_rate < 0:
    raise ValueError('Discount rate cannot be negative'			)
  if not cash_flows:
    raise ValueError('Cash flows list cannot be empty'			)
  lowerCAmelCase__			:Union[str, Any]											=							sum(
      cash_flow / ((1 + discount_rate) ** i) for i, cash_flow in enumerate(_SCREAMING_SNAKE_CASE			)			)
  return round(_SCREAMING_SNAKE_CASE     ,   ndigits=2			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
