






def     _snake_case    (__lowercase):
   if any(not isinstance(__lowercase    ,      __lowercase) or x < 0 for x in sequence):
      raise TypeError('Sequence must be list of non-negative integers')
   for _ in range(len(__lowercase)):
      for i, (rod_upper, rod_lower) in enumerate(zip(__lowercase    ,      sequence[1:])):
         if rod_upper > rod_lower:
            sequence[i] -= rod_upper - rod_lower
            sequence[i + 1] += rod_upper - rod_lower
   return sequence


if __name__ == "__main__":
 assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
 assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]













from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
 if not (is_transformers_available() and is_torch_available()):
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 from ...utils.dummy_torch_and_transformers_objects import (
     ImageTextPipelineOutput,
     UniDiffuserPipeline,
 )
else:
 from .modeling_text_decoder import UniDiffuserTextDecoder
 from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
 from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline





