






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_torch_available,
)


snake_case__      :	str       	=      {
    """configuration_speecht5""": [
        """SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP""",
        """SpeechT5Config""",
        """SpeechT5HifiGanConfig""",
    ],
    """feature_extraction_speecht5""": ["""SpeechT5FeatureExtractor"""],
    """processing_speecht5""": ["""SpeechT5Processor"""],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case__      :	Union[str, Any]       	=      ["""SpeechT5Tokenizer"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	snake_case__      :	List[str]       	=      [
	    """SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """SpeechT5ForSpeechToText""",
	    """SpeechT5ForSpeechToSpeech""",
	    """SpeechT5ForTextToSpeech""",
	    """SpeechT5Model""",
	    """SpeechT5PreTrainedModel""",
	    """SpeechT5HifiGan""",
	]

if TYPE_CHECKING:
	from .configuration_speechta import (
	    SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
	    SpeechTaConfig,
	    SpeechTaHifiGanConfig,
	)
	from .feature_extraction_speechta import SpeechTaFeatureExtractor
	from .processing_speechta import SpeechTaProcessor

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_speechta import SpeechTaTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speechta import (
		    SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SpeechTaForSpeechToSpeech,
		    SpeechTaForSpeechToText,
		    SpeechTaForTextToSpeech,
		    SpeechTaHifiGan,
		    SpeechTaModel,
		    SpeechTaPreTrainedModel,
		)

else:
	import sys

	snake_case__      :	List[str]       	=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)













def     _snake_case    (__lowercase = 1000):
   UpperCamelCase_		,      UpperCamelCase_									=     1, 1
   UpperCamelCase_									=     2
   while True:
      UpperCamelCase_									=     0
      UpperCamelCase_									=     fa + fa
      UpperCamelCase_		,      UpperCamelCase_									=     fa, f
      index += 1
      for _ in str(__lowercase):
         i += 1
      if i == n:
         break
   return index


if __name__ == "__main__":
 print(solution(int(str(input()).strip())))





