

import dataclasses
import enum
import functools
import math
import re

# The following script is adapted from the script of TaPas.
# Original: https://github.com/google-research/tapas/master/wikisql_utils.py
from typing import Any, List, Text


_lowerCamelCase								="none"
_lowerCamelCase								="none"







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE										=value.split(lowerCAmelCase_      )
     return len(lowerCAmelCase_      ) > 1 and any((len(lowerCAmelCase_      ) == 3 for x in split)      )







def       snake_case__    (       lowerCAmelCase_      ):





     """simple docstring"""







     if isinstance(lowerCAmelCase_,   lowerCAmelCase_      ):
          return value
     if isinstance(lowerCAmelCase_,   lowerCAmelCase_      ):
          return float(lowerCAmelCase_      )
     if not isinstance(lowerCAmelCase_,   lowerCAmelCase_      ):
          raise ValueError('Argument value is not a string. Can\'t parse it as float'      )
     SCREAMING_SNAKE_CASE										=value

     try:
          # Example: 1,000.7
          if "." in sanitized and "," in sanitized:
               return float(sanitized.replace(',',   ''      )      )
          # 1,000
          if "," in sanitized and _split_thousands(',',   lowerCAmelCase_      ):
               return float(sanitized.replace(',',   ''      )      )
          # 5,5556
          if "," in sanitized and sanitized.count(','      ) == 1 and not _split_thousands(',',   lowerCAmelCase_      ):
               return float(sanitized.replace(',',   '.'      )      )
          # 0.0.0.1
          if sanitized.count('.'      ) > 1:
               return float(sanitized.replace('.',   ''      )      )
          # 0,0,0,1
          if sanitized.count(','      ) > 1:
               return float(sanitized.replace(',',   ''      )      )
          return float(lowerCAmelCase_      )
     except ValueError:
          # Avoid adding the sanitized value in the error message.
          raise ValueError('Unable to convert value to float'      )







def       snake_case__    (       lowerCAmelCase_      ):





     """simple docstring"""







     if answer is None:
          return None
     try:
          SCREAMING_SNAKE_CASE										=convert_to_float(lowerCAmelCase_      )
          if isinstance(lowerCAmelCase_,   lowerCAmelCase_      ) and math.isnan(lowerCAmelCase_      ):
               return None
          return value
     except ValueError:
          return answer.lower()


_lowerCamelCase								={
    "text": lambda x: x,
    "real": convert_to_float,
}



class 		a_	(							enum.Enum					):



      """simple docstring"""







      __UpperCAmelCase      		=				0
      __UpperCAmelCase      		=				1
      __UpperCAmelCase      		=				2
      __UpperCAmelCase      		=				3
      __UpperCAmelCase      		=				4
      __UpperCAmelCase      		=				5







class 		a_	(							enum.Enum					):



      """simple docstring"""







      __UpperCAmelCase      		=				0
      __UpperCAmelCase      		=				1
      __UpperCAmelCase      		=				2







@dataclasses.dataclass
class 		a_	:



      """simple docstring"""







      __UpperCAmelCase      		=				42
      __UpperCAmelCase      		=				42
      __UpperCAmelCase      		=				42







_lowerCamelCase								=re.compile(R"\w+|[^\w\s]+", re.UNICODE | re.MULTILINE | re.DOTALL)







def       snake_case__    (       lowerCAmelCase_      ):





     """simple docstring"""







     return list(_TOKENIZER.findall(x.lower()      )      )







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     if operator == _Operator.EQUALS:
          return src == tgt
     elif operator == _Operator.GREATER:
          return src > tgt
     elif operator == _Operator.LESSER:
          return src < tgt
     raise ValueError(F'Unknown operator: {operator}'      )







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE										=table['types']
     return _TYPE_CONVERTER[types[column]](lowerCAmelCase_      )







def       snake_case__    (       lowerCAmelCase_      ):





     """simple docstring"""







     return isinstance(lowerCAmelCase_,   lowerCAmelCase_      )







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     for cond in conditions:
          SCREAMING_SNAKE_CASE										=row[cond.column]

          SCREAMING_SNAKE_CASE										=_parse_value(lowerCAmelCase_,   cond.column,   cond.cmp_value      )

          if _is_string(lowerCAmelCase_      ) and _is_string(lowerCAmelCase_      ):
               SCREAMING_SNAKE_CASE										=_normalize_for_match(lowerCAmelCase_      )
               SCREAMING_SNAKE_CASE										=_normalize_for_match(lowerCAmelCase_      )

          if not isinstance(lowerCAmelCase_,   type(lowerCAmelCase_      )      ):
               raise ValueError('Type difference {} != {}'.format(type(lowerCAmelCase_      ),   type(lowerCAmelCase_      )      )      )

          if not _compare(cond.operator,   lowerCAmelCase_,   lowerCAmelCase_      ):
               return False
     return True







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     if not answer_coordinates:
          if aggregation_op == _Aggregation.COUNT:
               return 0.0
          else:
               return EMPTY_ANSWER_AGG

    # Count can support non numeric answers.
     if aggregation_op == _Aggregation.COUNT:
          return float(len(lowerCAmelCase_      )      )

     # If we have just one answer, if float returns it or try a conversion.
     SCREAMING_SNAKE_CASE										=[table['rows'][i][j] for (i, j) in answer_coordinates]
     if len(lowerCAmelCase_      ) == 1:
          try:
               return convert_to_float(values[0]      )
          except ValueError as e:
               if aggregation_op != _Aggregation.NONE:
                    raise e

     if aggregation_op == _Aggregation.NONE:
          return None

     # Other aggregation only support numeric values. Bail out if we have strings.
     if not all((isinstance(lowerCAmelCase_,   (int, float)      ) for v in values)      ):
          return None

     if aggregation_op == _Aggregation.SUM:
          return float(sum(lowerCAmelCase_      )      )
     elif aggregation_op == _Aggregation.AVERAGE:
          return sum(lowerCAmelCase_      ) / len(lowerCAmelCase_      )
     else:
          raise ValueError(F'Unknown aggregation: {aggregation_op}'      )







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE										=sql_query['agg']
     if aggregation_op_index >= 3:
          SCREAMING_SNAKE_CASE										=_Aggregation(lowerCAmelCase_      )
     else:
          SCREAMING_SNAKE_CASE										=_Aggregation.NONE

     SCREAMING_SNAKE_CASE										=sql_query['sel']
     SCREAMING_SNAKE_CASE										=[
         _Condition(lowerCAmelCase_,   _Operator(lowerCAmelCase_      ),   lowerCAmelCase_      )
         for column, operator, cmp_value in zip(
             sql_query['conds']['column_index'],   sql_query['conds']['operator_index'],   sql_query['conds']['condition']      )
     ]

     SCREAMING_SNAKE_CASE										=[]
     for row in range(len(table['rows']      )      ):
          if _respect_conditions(lowerCAmelCase_,   table['rows'][row],   lowerCAmelCase_      ):
               indices.append((row, target_column)      )

     if not indices:
          return [], aggregation_op

     if len(lowerCAmelCase_      ) == 1:
          return indices, aggregation_op

     # Parsing of MIN/MAX.
     if aggregation_op_index in (1, 2):
          SCREAMING_SNAKE_CASE										={2: min, 1: max}
          SCREAMING_SNAKE_CASE										=[(table['rows'][i][j], index) for index, (i, j) in enumerate(lowerCAmelCase_      )]
          SCREAMING_SNAKE_CASE										=functools.reduce(operators[sql_query['agg']],   lowerCAmelCase_      )

          SCREAMING_SNAKE_CASE										=[indices[reduced[1]]]
          return ret, _Aggregation.NONE

     return indices, aggregation_op







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     if float_answer is not None:
          return [str(lowerCAmelCase_      )]
     return [str(table['real_rows'][r][c]      ) for r, c in answer_coordinates]







def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE						,  SCREAMING_SNAKE_CASE										=_get_answer_coordinates(lowerCAmelCase_,   lowerCAmelCase_      )
     SCREAMING_SNAKE_CASE										=_get_float_answer(lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      )
     SCREAMING_SNAKE_CASE										=_get_answer_text(lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      )
     # keep the original data the same with TaPas
     if len(lowerCAmelCase_      ) == 0:
          SCREAMING_SNAKE_CASE										=[EMPTY_ANSWER]
     return answer_text




import os
import sys
import time

from . import transposition_cipher as trans_cipher







def       snake_case__    (       ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE										='Prehistoric Men.txt'
     SCREAMING_SNAKE_CASE										='Output.txt'
     SCREAMING_SNAKE_CASE										=int(input('Enter key: '      )      )
     SCREAMING_SNAKE_CASE										=input('Encrypt/Decrypt [e/d]: '      )

     if not os.path.exists(lowerCAmelCase_      ):
          print(F'File {input_file} does not exist. Quitting...'      )
          sys.exit()
     if os.path.exists(lowerCAmelCase_      ):
          print(F'Overwrite {output_file}? [y/n]'      )
          SCREAMING_SNAKE_CASE										=input('> '      )
          if not response.lower().startswith('y'      ):
               sys.exit()

     SCREAMING_SNAKE_CASE										=time.time()
     if mode.lower().startswith('e'      ):
          with open(lowerCAmelCase_      ) as f:
               SCREAMING_SNAKE_CASE										=f.read()
          SCREAMING_SNAKE_CASE										=trans_cipher.encrypt_message(lowerCAmelCase_,   lowerCAmelCase_      )
     elif mode.lower().startswith('d'      ):
          with open(lowerCAmelCase_      ) as f:
               SCREAMING_SNAKE_CASE										=f.read()
          SCREAMING_SNAKE_CASE										=trans_cipher.decrypt_message(lowerCAmelCase_,   lowerCAmelCase_      )

     with open(lowerCAmelCase_,   'w'      ) as output_obj:
          output_obj.write(lowerCAmelCase_      )

     SCREAMING_SNAKE_CASE										=round(time.time() - start_time,   2      )
     print(('Done (', total_time, 'seconds )')      )


if __name__ == "__main__":
 main()

