'''simple docstring'''






def        UpperCamelCase__				(		lowerCAmelCase = 10_00  ):





      """simple docstring"""


      _lowerCAmelCase												=							1, 1
      _lowerCAmelCase												=							[]
      for i in range(1							,     n + 1  ):
            _lowerCAmelCase												=							prev_numerator + 2 * prev_denominator
            _lowerCAmelCase												=							prev_numerator + prev_denominator
            if len(str(__snake_case  )  ) > len(str(__snake_case  )  ):
                  result.append(__snake_case  )
            _lowerCAmelCase												=							numerator
            _lowerCAmelCase												=							denominator

      return len(__snake_case  )


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













'''simple docstring'''






import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property




@unittest.skipUnless(os.path.exists(snake_case_       )							,		'''Tatoeba directory does not exist.'''       )
class 			UpperCAmelCase					(      unittest.TestCase       ):




      @cached_property
      def     lowercase__   (      self      :			int  )    ->				Any:
            _lowerCAmelCase												=							tempfile.mkdtemp()
            return TatoebaConverter(save_dir=__snake_case  )




      @slow
      def     lowercase__   (      self      :			Dict  )    ->				int:
            self.resolver.convert_models(["""heb-eng"""]  )




      @slow
      def     lowercase__   (      self      :			Optional[int]  )    ->				Tuple:
            _lowerCAmelCase					,							_lowerCAmelCase												=							self.resolver.write_model_card("""opus-mt-he-en"""      ,      dry_run=__snake_case  )
            assert mmeta["long_pair"] == "heb-eng"






