



"""simple docstring"""







def   lowerCAmelCase__			(     lowerCamelCase__			) ->							int:




       try:
              A         =					float(__a			)
       except ValueError:
              raise ValueError('Please enter a valid number'			)
       A         =					decimal - int(__a			)
       if fractional_part == 0:
              return int(__a			), 1
       else:
              A         =					len(str(__a			).split('.'			)[1]			)
              A         =					int(decimal * (10**number_of_frac_digits)			)
              A         =					10**number_of_frac_digits
              A      ,  A         =					denominator, numerator
              while True:
                     A         =					dividend % divisor
                     if remainder == 0:
                            break
                     A      ,  A         =					divisor, remainder
              A      ,  A         =					numerator / divisor, denominator / divisor
              return int(__a			), int(__a			)


if __name__ == "__main__":
       print(F'{decimal_to_fraction(2) = }')
       print(F'{decimal_to_fraction(89.0) = }')
       print(F'{decimal_to_fraction("67") = }')
       print(F'{decimal_to_fraction("45.0") = }')
       print(F'{decimal_to_fraction(1.5) = }')
       print(F'{decimal_to_fraction("6.25") = }')
       print(F'{decimal_to_fraction("78td") = }')








"""simple docstring"""







from typing import TYPE_CHECKING

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


A    =			{'configuration_plbart': ['PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PLBartConfig']}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A    =			['PLBartTokenizer']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A    =			[
							    'PLBART_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'PLBartForCausalLM',
							    'PLBartForConditionalGeneration',
							    'PLBartForSequenceClassification',
							    'PLBartModel',
							    'PLBartPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							A    =			_LazyModule(__name__, globals()['__file__'], _import_structure)



