





import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


_UpperCAmelCase										=					datasets.utils.logging.get_logger(__name__)



@dataclass
class 				_UpperCamelCase       (						datasets.BuilderConfig  ):
       _UpperCamelCase					:       Optional[datasets.Features]       = None



class 				_UpperCamelCase       (						datasets.ArrowBasedBuilder  ):
       _UpperCamelCase					:       Union[str, Any]       = ArrowConfig

       def lowercase			(		self:			Optional[int]		)							->			Any:




              """simple docstring"""


              return datasets.DatasetInfo(features=self.config.features		)

       def lowercase			(		self:			List[Any]       , _SCREAMING_SNAKE_CASE:			List[str]		)							->			int:




              """simple docstring"""


              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}'''		)
              UpperCamelCase_ 							=	dl_manager.download_and_extract(self.config.data_files		)
              if isinstance(_SCREAMING_SNAKE_CASE       , (str, list, tuple)		):
                     UpperCamelCase_ 							=	data_files
                     if isinstance(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		):
                            UpperCamelCase_ 							=	[files]
                     # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
                     UpperCamelCase_ 							=	[dl_manager.iter_files(_SCREAMING_SNAKE_CASE		) for file in files]
                     return [datasets.SplitGenerator(name=datasets.Split.TRAIN       , gen_kwargs={"files": files}		)]
              UpperCamelCase_ 							=	[]
              for split_name, files in data_files.items():
                     if isinstance(_SCREAMING_SNAKE_CASE       , _SCREAMING_SNAKE_CASE		):
                            UpperCamelCase_ 							=	[files]
                     # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
                     UpperCamelCase_ 							=	[dl_manager.iter_files(_SCREAMING_SNAKE_CASE		) for file in files]
                     # Infer features is they are stoed in the arrow schema
                     if self.info.features is None:
                            for file in itertools.chain.from_iterable(_SCREAMING_SNAKE_CASE		):
                                   with open(_SCREAMING_SNAKE_CASE       , "rb"		) as f:
                                          UpperCamelCase_ 							=	datasets.Features.from_arrow_schema(pa.ipc.open_stream(_SCREAMING_SNAKE_CASE		).schema		)
                                   break
                     splits.append(datasets.SplitGenerator(name=_SCREAMING_SNAKE_CASE       , gen_kwargs={"files": files}		)		)
              return splits

       def lowercase			(		self:			Optional[int]       , _SCREAMING_SNAKE_CASE:			pa.Table		)							->			pa.Table:




              """simple docstring"""


              if self.info.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
                     UpperCamelCase_ 							=	table_cast(_SCREAMING_SNAKE_CASE       , self.info.features.arrow_schema		)
              return pa_table



       def lowercase			(		self:			List[str]       , _SCREAMING_SNAKE_CASE:			Optional[int]		)							->			Dict:




              """simple docstring"""


              for file_idx, file in enumerate(itertools.chain.from_iterable(_SCREAMING_SNAKE_CASE		)		):
                     with open(_SCREAMING_SNAKE_CASE       , "rb"		) as f:
                            try:
                                   for batch_idx, record_batch in enumerate(pa.ipc.open_stream(_SCREAMING_SNAKE_CASE		)		):
                                          UpperCamelCase_ 							=	pa.Table.from_batches([record_batch]		)
                                          # Uncomment for debugging (will print the Arrow table size and elements)
                                          # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
                                          # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
                                          yield f'''{file_idx}_{batch_idx}''', self._cast_table(_SCREAMING_SNAKE_CASE		)
                            except ValueError as e:
                                   logger.error(f'''Failed to read file \'{file}\' with error {type(_SCREAMING_SNAKE_CASE		)}: {e}'''		)
                                   raise



'''simple docstring'''

import random
import sys

__UpperCAmelCase												=   'ABCDEFGHIJKLMNOPQRSTUVWXYZ'



def        SCREAMING_SNAKE_CASE_  (	)       ->	None:
 SCREAMING_SNAKE_CASE  :  Dict								=		input('Enter message: '							)
 SCREAMING_SNAKE_CASE  :  Dict								=		'LFWOAYUISVKMNXPBDCRJTQEGHZ'
 SCREAMING_SNAKE_CASE  :  Tuple								=		input('Encrypt/Decrypt [e/d]: '							)

 check_valid_key(snake_case_							)

 if resp.lower().startswith('e'							):
  SCREAMING_SNAKE_CASE  :  str								=		'encrypt'
  SCREAMING_SNAKE_CASE  :  Optional[Any]								=		encrypt_message(snake_case_   ,     snake_case_							)
 elif resp.lower().startswith('d'							):
  SCREAMING_SNAKE_CASE  :  List[Any]								=		'decrypt'
  SCREAMING_SNAKE_CASE  :  List[str]								=		decrypt_message(snake_case_   ,     snake_case_							)

 print(f"""\n{mode.title()}ion: \n{translated}"""							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str							)       ->	None:
 SCREAMING_SNAKE_CASE  :  int								=		list(snake_case_							)
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		list(snake_case_							)
 key_list.sort()
 letters_list.sort()

 if key_list != letters_list:
  sys.exit('Error in the key or symbol set.'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 return translate_message(snake_case_   ,     snake_case_   ,     'encrypt'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 return translate_message(snake_case_   ,     snake_case_   ,     'decrypt'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 SCREAMING_SNAKE_CASE  :  Any								=		''
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		LETTERS
 SCREAMING_SNAKE_CASE  :  List[Any]								=		key

 if mode == "decrypt":
  SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE  :  List[Any]								=		chars_b, chars_a

 for symbol in message:
  if symbol.upper() in chars_a:
   SCREAMING_SNAKE_CASE  :  Optional[Any]								=		chars_a.find(symbol.upper()							)
   if symbol.isupper():
    translated += chars_b[sym_index].upper()
   else:
    translated += chars_b[sym_index].lower()
  else:
   translated += symbol

 return translated



def        SCREAMING_SNAKE_CASE_  (	)       ->	str:
 SCREAMING_SNAKE_CASE  :  Dict								=		list(snake_case_							)
 random.shuffle(snake_case_							)
 return "".join(snake_case_							)


if __name__ == "__main__":
   main()


