


import itertools
from dataclasses import dataclass
from typing import Optional

import pandas as pd
import pyarrow as pa

import datasets
from datasets.table import table_cast
@dataclass
class 				SCREAMING_SNAKE_CASE__						(       datasets.BuilderConfig    ):
      snake_case__       :  Optional[datasets.Features]       =		None
class 				SCREAMING_SNAKE_CASE__						(       datasets.ArrowBasedBuilder    ):
      snake_case__       :  Optional[int]       =		PandasConfig
      def  SCREAMING_SNAKE_CASE							( self       : Tuple  )	->    Optional[Any]:
             return datasets.DatasetInfo(features=self.config.features  )
      def  SCREAMING_SNAKE_CASE							( self       : Optional[int]  ,							SCREAMING_SNAKE_CASE__       : Optional[int]  )	->    str:
             if not self.config.data_files:
                    raise ValueError(F"""At least one data file must be specified, but got data_files={self.config.data_files}"""  )
             a_      :	Optional[Any]							=						dl_manager.download_and_extract(self.config.data_files  )
             if isinstance(__a  ,							(str, list, tuple)  ):
                    a_      :	Any							=						data_files
                    if isinstance(__a  ,							__a  ):
                           a_      :	Union[str, Any]							=						[files]
                    # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
                    a_      :	Any							=						[dl_manager.iter_files(__a  ) for file in files]
                    return [datasets.SplitGenerator(name=datasets.Split.TRAIN  ,							gen_kwargs={'files': files}  )]
             a_      :	List[Any]							=						[]
             for split_name, files in data_files.items():
                    if isinstance(__a  ,							__a  ):
                           a_      :	List[str]							=						[files]
                    # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
                    a_      :	Dict							=						[dl_manager.iter_files(__a  ) for file in files]
                    splits.append(datasets.SplitGenerator(name=__a  ,							gen_kwargs={'files': files}  )  )
             return splits
      def  SCREAMING_SNAKE_CASE							( self       : Optional[Any]  ,							SCREAMING_SNAKE_CASE__       : pa.Table  )	->    pa.Table:
             if self.config.features is not None:
                    # more expensive cast to support nested features with keys in a different order
                    # allows str <-> int/float or str to Audio for example
                    a_      :	Dict							=						table_cast(__a  ,							self.config.features.arrow_schema  )
             return pa_table

      def  SCREAMING_SNAKE_CASE							( self       : List[str]  ,							SCREAMING_SNAKE_CASE__       : Any  )	->    Dict:
             for i, file in enumerate(itertools.chain.from_iterable(__a  )  ):
                    with open(__a  ,							'rb'  ) as f:
                           a_      :	Union[str, Any]							=						pa.Table.from_pandas(pd.read_pickle(__a  )  )
                           yield i, self._cast_table(__a  )






import random
class 				SCREAMING_SNAKE_CASE__						:
      @staticmethod
      def  SCREAMING_SNAKE_CASE							( SCREAMING_SNAKE_CASE__       : str  )	->    tuple[list[int], list[int]]:
             a_      :	int							=						[ord(SCREAMING_SNAKE_CASE__  ) for i in text]
             a_      :	Any							=						[]
             a_      :	Optional[int]							=						[]
             for i in plain:
                    a_      :	Tuple							=						random.randint(1  ,							3_0_0  )
                    a_      :	Optional[int]							=						(i + k) * k
                    cipher.append(SCREAMING_SNAKE_CASE__  )
                    key.append(SCREAMING_SNAKE_CASE__  )
             return cipher, key

      @staticmethod
      def  SCREAMING_SNAKE_CASE							( SCREAMING_SNAKE_CASE__       : list[int]  ,							SCREAMING_SNAKE_CASE__       : list[int]  )	->    str:
             a_      :	List[Any]							=						[]
             for i in range(len(SCREAMING_SNAKE_CASE__  )  ):
                    a_      :	str							=						int((cipher[i] - (key[i]) ** 2) / key[i]  )
                    plain.append(chr(SCREAMING_SNAKE_CASE__  )  )
             return "".join(SCREAMING_SNAKE_CASE__  )


if __name__ == "__main__":
   UpperCAmelCase_      ,     UpperCAmelCase_   :				Any						      = Onepad().encrypt('Hello')
   print(c, k)
   print(Onepad().decrypt(c, k))


