
"""simple docstring"""







import random
from typing import Any
def 	__UpperCamelCase (       SCREAMING_SNAKE_CASE			)	->  list[Any]:







							"""simple docstring"""


							for _ in range(len(_UpperCamelCase			)			):
														__snake_case        =							random.randint(0				,     len(_UpperCamelCase			) - 1			)
														__snake_case        =							random.randint(0				,     len(_UpperCamelCase			) - 1			)
														__snake_case      , __snake_case        =							data[b], data[a]
							return data


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE													=   [0, 1, 2, 3, 4, 5, 6, 7]
		_SCREAMING_SNAKE_CASE													=   ['''python''', '''says''', '''hello''', '''!''']
		print("""Fisher-Yates Shuffle:""")
		print("""List""", integers, strings)
		print("""FY Shuffle""", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))








from typing import TYPE_CHECKING

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


__magic_name__   :  Tuple        =							{'''configuration_plbart''': ['''PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PLBartConfig''']}

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

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __magic_name__   :  Tuple        =							[
           '''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

       __magic_name__   :  Optional[int]        =							_LazyModule(__name__, globals()['''__file__'''], _import_structure)



