





'''simple docstring'''

def lowerCamelCase						(     __lowerCamelCase :    int = 1000    )						->int:
    _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			1, 1
    _SCREAMING_SNAKE_CASE									=			[]
    for i in range(1					,       n + 1    ):
        _SCREAMING_SNAKE_CASE									=			prev_numerator + 2 * prev_denominator
        _SCREAMING_SNAKE_CASE									=			prev_numerator + prev_denominator
        if len(str(__lowerCamelCase    )    ) > len(str(__lowerCamelCase    )    ):
            result.append(__lowerCamelCase    )
        _SCREAMING_SNAKE_CASE									=			numerator
        _SCREAMING_SNAKE_CASE									=			denominator

    return len(__lowerCamelCase    )


if __name__ == "__main__":
      print(f"""{solution() = }""")










'''simple docstring'''

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



