code: 
  
  
  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
  
  
  lowercase_								=    'none'
  lowercase_								=    'none'
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase				)    ->  Optional[Any]:
  						_a     =			value.split(_UpperCAmelCase				)
  						return len(_UpperCAmelCase				) > 1 and any((len(_UpperCAmelCase				) == 3 for x in split)				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  List[Any]:
  						if isinstance(_UpperCAmelCase							,     _UpperCAmelCase				):
  												return value
  						if isinstance(_UpperCAmelCase							,     _UpperCAmelCase				):
  												return float(_UpperCAmelCase				)
  						if not isinstance(_UpperCAmelCase							,     _UpperCAmelCase				):
  												raise ValueError('Argument value is not a string. Can\'t parse it as float'				)
  						_a     =			value
  
  						try:
  												# Example: 1,000.7
  												if "." in sanitized and "," in sanitized:
  																		return float(sanitized.replace(','							,     ''				)				)
  												# 1,000
  												if "," in sanitized and _split_thousands(','							,     _UpperCAmelCase				):
  																		return float(sanitized.replace(','							,     ''				)				)
  												# 5,5556
  												if "," in sanitized and sanitized.count(','				) == 1 and not _split_thousands(','							,     _UpperCAmelCase				):
  																		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(_UpperCAmelCase				)
  						except ValueError:
  												# Avoid adding the sanitized value in the error message.
  												raise ValueError('Unable to convert value to float'				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  str:
  						if answer is None:
  												return None
  						try:
  												_a     =			convert_to_float(_UpperCAmelCase				)
  												if isinstance(_UpperCAmelCase							,     _UpperCAmelCase				) and math.isnan(_UpperCAmelCase				):
  																		return None
  												return value
  						except ValueError:
  												return answer.lower()
  
  
  lowercase_								=    {
      'text': lambda x: x,
      'real': convert_to_float,
  }
  
  
  
  
  class 					_UpperCamelCase (      enum.Enum	):
  
  
  
  
  
  
  
  							'''simple docstring'''
  							_A  				=  0
  							_A  				=  1
  							_A  				=  2
  							_A  				=  3
  							_A  				=  4
  							_A  				=  5
  
  
  
  
  class 					_UpperCamelCase (      enum.Enum	):
  
  
  
  
  
  
  
  							'''simple docstring'''
  							_A  				=  0
  							_A  				=  1
  							_A  				=  2
  
  
  
  
  @dataclasses.dataclass
  class 					_UpperCamelCase :
  
  
  
  
  
  
  
  							'''simple docstring'''
  							_A  				=  42
  							_A  				=  42
  							_A  				=  42
  
  
  
  
  lowercase_								=    re.compile(r'\w+|[^\w\s]+', re.UNICODE | re.MULTILINE | re.DOTALL)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  List[Any]:
  						return list(_TOKENIZER.findall(x.lower()				)				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  int:
  						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 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  Optional[int]:
  						_a     =			table['types']
  						return _TYPE_CONVERTER[types[column]](_UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase				)    ->  Union[str, Any]:
  						return isinstance(_UpperCAmelCase							,     _UpperCAmelCase				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  str:
  						for cond in conditions:
  												_a     =			row[cond.column]
  
  												_a     =			_parse_value(_UpperCAmelCase							,     cond.column							,     cond.cmp_value				)
  
  												if _is_string(_UpperCAmelCase				) and _is_string(_UpperCAmelCase				):
  																		_a     =			_normalize_for_match(_UpperCAmelCase				)
  																		_a     =			_normalize_for_match(_UpperCAmelCase				)
  
  												if not isinstance(_UpperCAmelCase							,     type(_UpperCAmelCase				)				):
  																		raise ValueError('Type difference {} != {}'.format(type(_UpperCAmelCase				)							,     type(_UpperCAmelCase				)				)				)
  
  												if not _compare(cond.operator							,     _UpperCAmelCase							,     _UpperCAmelCase				):
  																		return False
  						return True
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  Union[str, Any]:
  						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(_UpperCAmelCase				)				)
  
  						# If we have just one answer, if float returns it or try a conversion.
  						_a     =			[table['rows'][i][j] for (i, j) in answer_coordinates]
  						if len(_UpperCAmelCase				) == 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(_UpperCAmelCase							,     (int, float)				) for v in values)				):
  												return None
  
  						if aggregation_op == _Aggregation.SUM:
  												return float(sum(_UpperCAmelCase				)				)
  						elif aggregation_op == _Aggregation.AVERAGE:
  												return sum(_UpperCAmelCase				) / len(_UpperCAmelCase				)
  						else:
  												raise ValueError(f"""Unknown aggregation: {aggregation_op}"""				)
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase				)    ->  Optional[int]:
  						_a     =			sql_query['agg']
  						if aggregation_op_index >= 3:
  												_a     =			_Aggregation(_UpperCAmelCase				)
  						else:
  												_a     =			_Aggregation.NONE
  
  						_a     =			sql_query['sel']
  						_a     =			[
  						    _Condition(_UpperCAmelCase							,     _Operator(_UpperCAmelCase				)							,     _UpperCAmelCase				)
  						    for column, operator, cmp_value in zip(
  						        sql_query['conds']['column_index']							,     sql_query['conds']['operator_index']							,     sql_query['conds']['condition']				)
  						]
  
  						_a     =			[]
  						for row in range(len(table['rows']				)				):
  												if _respect_conditions(_UpperCAmelCase							,     table['rows'][row]							,     _UpperCAmelCase				):
  																		indices.append((row, target_column)				)
  
  						if not indices:
  												return [], aggregation_op
  
  						if len(_UpperCAmelCase				) == 1:
  												return indices, aggregation_op
  
  						# Parsing of MIN/MAX.
  						if aggregation_op_index in (1, 2):
  												_a     =			{2: min, 1: max}
  												_a     =			[(table['rows'][i][j], index) for index, (i, j) in enumerate(_UpperCAmelCase				)]
  												_a     =			functools.reduce(operators[sql_query['agg']]							,     _UpperCAmelCase				)
  
  												_a     =			[indices[reduced[1]]]
  												return ret, _Aggregation.NONE
  
  						return indices, aggregation_op
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)    ->  List[Any]:
  						if float_answer is not None:
  												return [str(_UpperCAmelCase				)]
  						return [str(table['real_rows'][r][c]				) for r, c in answer_coordinates]
  
  
  
  
  
  
  def 							SCREAMING_SNAKE_CASE					(  _UpperCAmelCase							,     _UpperCAmelCase				)    ->  List:
  						_a ,	_a     =			_get_answer_coordinates(_UpperCAmelCase							,     _UpperCAmelCase				)
  						_a     =			_get_float_answer(_UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)
  						_a     =			_get_answer_text(_UpperCAmelCase							,     _UpperCAmelCase							,     _UpperCAmelCase				)
  						# keep the original data the same with TaPas
  						if len(_UpperCAmelCase				) == 0:
  												_a     =			[EMPTY_ANSWER]
  						return answer_text
  
  
  
style_context: 
  
  
  lowercase_								=    [0.485, 0.456, 0.406]
  lowercase_								=    [0.229, 0.224, 0.225]
  lowercase_								=    [0.5, 0.5, 0.5]
  lowercase_								=    [0.5, 0.5, 0.5]
  lowercase_								=    [0.48145466, 0.4578275, 0.40821073]
  lowercase_								=    [0.26862954, 0.26130258, 0.27577711]
  
  
  