



from collections.abc import Generator
def       __magic_name__(  )						->    Generator[int, None, None]:



      '''simple docstring'''

      _lowerCamelCase    ,					_lowerCamelCase			    =				0, 1
      while True:
            _lowerCamelCase    ,					_lowerCamelCase			    =				b, a + b
            yield b
def       __magic_name__(  __UpperCAmelCase = 1000		)						->    int:



      '''simple docstring'''

      _lowerCamelCase			    =				1
      _lowerCamelCase			    =				fibonacci_generator()
      while len(str(next(__UpperCAmelCase		)		)		) < n:
            answer += 1
      return answer + 1


if __name__ == "__main__":
     print(solution(int(str(input()).strip())))
from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)