code: 
  '''simple docstring'''
  
  
  
  
  
  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
  
  
  A           =   "none"
  A           =   "none"
  def   snake_case_       (							_a     :							List[str] ,					_a     :							Any			):
        snake_case_						       =							value.split(_a			)
        return len(_a			) > 1 and any((len(_a			) == 3 for x in split)			)
  def   snake_case_       (							_a     :							List[str]			):
        if isinstance(_a ,					_a			):
              return value
        if isinstance(_a ,					_a			):
              return float(_a			)
        if not isinstance(_a ,					_a			):
              raise ValueError("Argument value is not a string. Can't parse it as float"			)
        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("," ,					_a			):
                    return float(sanitized.replace("," ,					""			)			)
              # 5,5556
              if "," in sanitized and sanitized.count(","			) == 1 and not _split_thousands("," ,					_a			):
                    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(_a			)
        except ValueError:
              # Avoid adding the sanitized value in the error message.
              raise ValueError("Unable to convert value to float"			)
  def   snake_case_       (							_a     :							Any			):
        if answer is None:
              return None
        try:
              snake_case_						       =							convert_to_float(_a			)
              if isinstance(_a ,					_a			) and math.isnan(_a			):
                    return None
              return value
        except ValueError:
              return answer.lower()
  
  
  A           =   {
      "text": lambda x: x,
      "real": convert_to_float,
  }
  
  
  
  class  lowerCAmelCase__   (       enum.Enum       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= 0
    _UpperCamelCase						= 1
    _UpperCamelCase						= 2
    _UpperCamelCase						= 3
    _UpperCamelCase						= 4
    _UpperCamelCase						= 5
  
  
  
  class  lowerCAmelCase__   (       enum.Enum       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= 0
    _UpperCamelCase						= 1
    _UpperCamelCase						= 2
  
  
  
  @dataclasses.dataclass
  class  lowerCAmelCase__   :
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= 42
    _UpperCamelCase						= 42
    _UpperCamelCase						= 42
  
  A           =   re.compile(r"\w+|[^\w\s]+", re.UNICODE | re.MULTILINE | re.DOTALL)
  def   snake_case_       (							_a     :							Union[str, Any]			):
        return list(_TOKENIZER.findall(x.lower()			)			)
  def   snake_case_       (							_a     :							List[str] ,					_a     :							Optional[int] ,					_a     :							Union[str, Any]			):
        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_       (							_a     :							Dict ,					_a     :							Union[str, Any] ,					_a     :							List[Any]			):
        snake_case_						       =							table["types"]
        return _TYPE_CONVERTER[types[column]](_a			)
  def   snake_case_       (							_a     :							Union[str, Any]			):
        return isinstance(_a ,					_a			)
  def   snake_case_       (							_a     :							List[Any] ,					_a     :							Optional[int] ,					_a     :							int			):
        for cond in conditions:
              snake_case_						       =							row[cond.column]
  
              snake_case_						       =							_parse_value(_a ,					cond.column ,					cond.cmp_value			)
  
              if _is_string(_a			) and _is_string(_a			):
                    snake_case_						       =							_normalize_for_match(_a			)
                    snake_case_						       =							_normalize_for_match(_a			)
  
              if not isinstance(_a ,					type(_a			)			):
                    raise ValueError("Type difference {} != {}".format(type(_a			) ,					type(_a			)			)			)
  
              if not _compare(cond.operator ,					_a ,					_a			):
                    return False
        return True
  def   snake_case_       (							_a     :							Tuple ,					_a     :							Dict ,					_a     :							int			):
        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(_a			)			)
  
        # If we have just one answer, if float returns it or try a conversion.
        snake_case_						       =							[table["rows"][i][j] for (i, j) in answer_coordinates]
        if len(_a			) == 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(_a ,					(int, float)			) for v in values)			):
              return None
  
        if aggregation_op == _Aggregation.SUM:
              return float(sum(_a			)			)
        elif aggregation_op == _Aggregation.AVERAGE:
              return sum(_a			) / len(_a			)
        else:
              raise ValueError(F'''Unknown aggregation: {aggregation_op}'''			)
  def   snake_case_       (							_a     :							int ,					_a     :							Optional[Any]			):
        snake_case_						       =							sql_query["agg"]
        if aggregation_op_index >= 3:
              snake_case_						       =							_Aggregation(_a			)
        else:
              snake_case_						       =							_Aggregation.NONE
  
        snake_case_						       =							sql_query["sel"]
        snake_case_						       =							[
            _Condition(_a ,					_Operator(_a			) ,					_a			)
            for column, operator, cmp_value in zip(
                sql_query["conds"]["column_index"] ,					sql_query["conds"]["operator_index"] ,					sql_query["conds"]["condition"]			)
        ]
  
        snake_case_						       =							[]
        for row in range(len(table["rows"]			)			):
              if _respect_conditions(_a ,					table["rows"][row] ,					_a			):
                    indices.append((row, target_column)			)
  
        if not indices:
              return [], aggregation_op
  
        if len(_a			) == 1:
              return indices, aggregation_op
  
        # Parsing of MIN/MAX.
        if aggregation_op_index in (1, 2):
              snake_case_						       =							{2: min, 1: max}
              snake_case_						       =							[(table["rows"][i][j], index) for index, (i, j) in enumerate(_a			)]
              snake_case_						       =							functools.reduce(operators[sql_query["agg"]] ,					_a			)
  
              snake_case_						       =							[indices[reduced[1]]]
              return ret, _Aggregation.NONE
  
        return indices, aggregation_op
  def   snake_case_       (							_a     :							Dict ,					_a     :							Tuple ,					_a     :							Optional[int]			):
        if float_answer is not None:
              return [str(_a			)]
        return [str(table["real_rows"][r][c]			) for r, c in answer_coordinates]
  
  
  
  
  def   snake_case_       (							_a     :							Union[str, Any] ,					_a     :							List[str]			):
        snake_case_       ,	snake_case_						       =							_get_answer_coordinates(_a ,					_a			)
        snake_case_						       =							_get_float_answer(_a ,					_a ,					_a			)
        snake_case_						       =							_get_answer_text(_a ,					_a ,					_a			)
        # keep the original data the same with TaPas
        if len(_a			) == 0:
              snake_case_						       =							[EMPTY_ANSWER]
        return answer_text
  
  
style_context: 
  '''simple docstring'''
  
  
  
  
  
  def   snake_case_       (							_a     :							List[str] ,					_a     :							List[str]			):
        snake_case_						       =							1
        while b > 0:
              if b & 1:
                    res *= a
  
              a *= a
              b >>= 1
  
        return res
  def   snake_case_       (							_a     :							Union[str, Any] ,					_a     :							Tuple ,					_a     :							Optional[Any]			):
        snake_case_						       =							1
        while b > 0:
              if b & 1:
                    snake_case_						       =							((res % c) * (a % c)) % c
  
              a *= a
              b >>= 1
  
        return res
  
  