
'''simple docstring'''
import sys
from dataclasses import dataclass
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union

import pandas as pd
import pyarrow as pa

import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast


if TYPE_CHECKING:
     import sqlitea

     import sqlalchemy


A__ :		Union[str, Any]					=datasets.utils.logging.get_logger(__name__)







@dataclass
class 			__A					(			datasets.BuilderConfig      ):
 lowerCamelCase												=None
 lowerCamelCase												=None
 lowerCamelCase												=None
 lowerCamelCase												=True
 lowerCamelCase												=None
 lowerCamelCase												=None
 lowerCamelCase												=None
 lowerCamelCase												=10000
 lowerCamelCase												=None
 def 		lowercase_( self      :     Optional[Any]							):



   """simple docstring"""





   if self.sql is None:
     raise ValueError("""sql must be specified"""							)
   if self.con is None:
     raise ValueError("""con must be specified"""							)
 def 		lowercase_( self      :     Tuple					, lowerCamelCase      :     dict					, lowerCamelCase      :     Optional[datasets.Features] = None					, ):



   """simple docstring"""





   __A		:  List[str]       				=		config_kwargs.copy()
   # We need to stringify the Selectable object to make its hash deterministic

   # The process of stringifying is explained here: http://docs.sqlalchemy.org/en/latest/faq/sqlexpressions.html
   __A		:  Dict       				=		config_kwargs["""sql"""]
   if not isinstance(lowerCamelCase					, lowerCamelCase							):
     if datasets.config.SQLALCHEMY_AVAILABLE and "sqlalchemy" in sys.modules:
       import sqlalchemy

       if isinstance(lowerCamelCase					, sqlalchemy.sql.Selectable							):
         __A		:  Any       				=		sqlalchemy.create_engine(config_kwargs["""con"""].split("""://"""							)[0] + """://"""							)
         __A		:  Union[str, Any]       				=		str(sql.compile(dialect=engine.dialect							)							)
         __A		:  Union[str, Any]       				=		sql_str
       else:
         raise TypeError(
             f"Supported types for 'sql' are string and sqlalchemy.sql.Selectable but got {type(lowerCamelCase							)}: {sql}"							)
     else:
       raise TypeError(
           f"Supported types for 'sql' are string and sqlalchemy.sql.Selectable but got {type(lowerCamelCase							)}: {sql}"							)
   __A		:  int       				=		config_kwargs["""con"""]
   if not isinstance(lowerCamelCase					, lowerCamelCase							):
     __A		:  Any       				=		id(lowerCamelCase							)
     logger.info(
         f"SQL connection 'con' of type {type(lowerCamelCase							)} couldn't be hashed properly. To enable hashing, specify 'con' as URI string instead."							)

   return super().create_config_id(lowerCamelCase					, custom_features=lowerCamelCase							)






 @property
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   __A		:  int       				=		{
       """index_col""": self.index_col,
       """columns""": self.columns,
       """params""": self.params,
       """coerce_float""": self.coerce_float,
       """parse_dates""": self.parse_dates,
   }
   return pd_read_sql_kwargs







class 			__A					(			datasets.ArrowBasedBuilder      ):
 lowerCamelCase												=SqlConfig
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   return datasets.DatasetInfo(features=self.config.features							)
 def 		lowercase_( self      :     str					, lowerCamelCase      :     Optional[int]							):



   """simple docstring"""





   return [datasets.SplitGenerator(name=datasets.Split.TRAIN					, gen_kwargs={}							)]
 def 		lowercase_( self      :     str					, lowerCamelCase      :     pa.Table							):



   """simple docstring"""





   if self.config.features is not None:
     __A		:  Optional[int]       				=		self.config.features.arrow_schema
     if all(not require_storage_cast(lowerCamelCase							) for feature in self.config.features.values()							):
       # cheaper cast
       __A		:  List[Any]       				=		pa.Table.from_arrays([pa_table[field.name] for field in schema]					, schema=lowerCamelCase							)
     else:
       # more expensive cast; allows str <-> int/float or str to Audio for example
       __A		:  Optional[int]       				=		table_cast(lowerCamelCase					, lowerCamelCase							)
   return pa_table






 def 		lowercase_( self      :     List[str]							):



   """simple docstring"""





   __A		:  Tuple       				=		self.config.chunksize
   __A		:  List[str]       				=		pd.read_sql(
       self.config.sql					, self.config.con					, chunksize=lowerCamelCase					, **self.config.pd_read_sql_kwargs							)
   __A		:  List[str]       				=		[sql_reader] if chunksize is None else sql_reader
   for chunk_idx, df in enumerate(lowerCamelCase							):
     __A		:  List[Any]       				=		pa.Table.from_pandas(lowerCamelCase							)
     yield chunk_idx, self._cast_table(lowerCamelCase							)





'''simple docstring'''
A__ :		Optional[Any]					=[chr(i) for i in range(32, 126)]
A__ :		Tuple					=list(range(len(alphabets)))
A__ :		int					=list(range(len(alphabets)))
A__ :		Optional[Any]					=list(range(len(alphabets)))
A__ :		Any					=list(reversed(range(len(alphabets))))
A__ :		Optional[int]					=[]
A__ :		Tuple					=0







def 							A_  (    )					->							Any:





  """simple docstring"""

  global gear_one_pos
  global gear_two_pos
  global gear_three_pos
  __A		:  Any       				=		gear_one[0]
  gear_one.append(__SCREAMING_SNAKE_CASE			)
  del gear_one[0]
  gear_one_pos += 1
  if gear_one_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
    __A		:  Any       				=		gear_two[0]
    gear_two.append(__SCREAMING_SNAKE_CASE			)
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
      __A		:  str       				=		gear_three[0]
      gear_three.append(__SCREAMING_SNAKE_CASE			)
      del gear_three[0]
      gear_three_pos += 1







def 							A_  (    __SCREAMING_SNAKE_CASE    :	str			)					->							List[str]:





  """simple docstring"""

  __A		:  Union[str, Any]       				=		alphabets.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Dict       				=		gear_one[target]
  __A		:  int       				=		gear_two[target]
  __A		:  List[str]       				=		gear_three[target]
  __A		:  List[Any]       				=		reflector[target]
  __A		:  List[Any]       				=		gear_three.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Tuple       				=		gear_two.index(__SCREAMING_SNAKE_CASE			)
  __A		:  List[str]       				=		gear_one.index(__SCREAMING_SNAKE_CASE			)
  code.append(alphabets[target]			)
  rotator()


if __name__ == "__main__":
     A__ :		int					=list(input('Type your message:\n'))
     while True:
          try:
               A__ :		Any					=int(input('Please set token:(must be only digits)\n'))
               break
          except Exception as error:
               print(error)
     for _ in range(token):
          rotator()
     for j in decode:
          engine(j)
     print('\n' + ''.join(code))
     print(
         F"\nYour Token is {token} please write it down.\nIf you want to decode "
         'this message again you should input same digits as token!'
     )



