

'''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			:	Union[str, Any]								=  'none'
_a			:	Optional[Any]								=  'none'


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				List[Any]    ,				SCREAMING_SNAKE_CASE :				int  ):
  UpperCAmelCase  							=		value.split(SCREAMING_SNAKE_CASE  )
  return len(SCREAMING_SNAKE_CASE  ) > 1 and any((len(SCREAMING_SNAKE_CASE  ) == 3 for x in split)  )


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				Optional[Any]  ):
  if isinstance(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  ):
    return value
  if isinstance(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  ):
    return float(SCREAMING_SNAKE_CASE  )
  if not isinstance(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  ):
    raise ValueError('Argument value is not a string. Can\'t parse it as float'  )
  UpperCAmelCase  							=		value

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


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


_a			:	Optional[int]								=  {
    'text': lambda x: x,
    'real': convert_to_float,
}



class     lowercase_		(						enum.Enum	):

  '''simple docstring'''





  __lowerCAmelCase   :	Tuple      					=				0
  __lowerCAmelCase   :	Tuple      					=				1
  __lowerCAmelCase   :	Tuple      					=				2
  __lowerCAmelCase   :	Dict      					=				3
  __lowerCAmelCase   :	Optional[int]      					=				4
  __lowerCAmelCase   :	List[str]      					=				5




class     lowercase_		(						enum.Enum	):

  '''simple docstring'''





  __lowerCAmelCase   :	Tuple      					=				0
  __lowerCAmelCase   :	Any      					=				1
  __lowerCAmelCase   :	List[Any]      					=				2




@dataclasses.dataclass
class     lowercase_		:

  '''simple docstring'''





  __lowerCAmelCase   :	Text
  __lowerCAmelCase   :	_Operator
  __lowerCAmelCase   :	Any




_a			:	Tuple								=  re.compile(R'\w+|[^\w\s]+', re.UNICODE | re.MULTILINE | re.DOTALL)


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				List[str]  ):
  return list(_TOKENIZER.findall(x.lower()  )  )


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				List[Any]    ,				SCREAMING_SNAKE_CASE :				List[Any]    ,				SCREAMING_SNAKE_CASE :				str  ):
  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  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				Tuple    ,				SCREAMING_SNAKE_CASE :				Optional[Any]    ,				SCREAMING_SNAKE_CASE :				int  ):
  UpperCAmelCase  							=		table['types']
  return _TYPE_CONVERTER[types[column]](SCREAMING_SNAKE_CASE  )


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				Optional[int]  ):
  return isinstance(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  )


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				List[Any]    ,				SCREAMING_SNAKE_CASE :				Union[str, Any]    ,				SCREAMING_SNAKE_CASE :				Any  ):
  for cond in conditions:
    UpperCAmelCase  							=		row[cond.column]

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

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

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

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


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				Any    ,				SCREAMING_SNAKE_CASE :				int    ,				SCREAMING_SNAKE_CASE :				Dict  ):
  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(SCREAMING_SNAKE_CASE  )  )

  # If we have just one answer, if float returns it or try a conversion.
  UpperCAmelCase  							=		[table['rows'][i][j] for (i, j) in answer_coordinates]
  if len(SCREAMING_SNAKE_CASE  ) == 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(SCREAMING_SNAKE_CASE    ,				(int, float)  ) for v in values)  ):
    return None

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


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				Tuple    ,				SCREAMING_SNAKE_CASE :				Optional[int]  ):
  UpperCAmelCase  							=		sql_query['agg']
  if aggregation_op_index >= 3:
    UpperCAmelCase  							=		_Aggregation(SCREAMING_SNAKE_CASE  )
  else:
    UpperCAmelCase  							=		_Aggregation.NONE

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

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

  if not indices:
    return [], aggregation_op

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

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

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

  return indices, aggregation_op


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				int    ,				SCREAMING_SNAKE_CASE :				Optional[Any]    ,				SCREAMING_SNAKE_CASE :				Dict  ):
  if float_answer is not None:
    return [str(SCREAMING_SNAKE_CASE  )]
  return [str(table['real_rows'][r][c]  ) for r, c in answer_coordinates]



def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				Optional[Any]    ,				SCREAMING_SNAKE_CASE :				int  ):
  UpperCAmelCase							, UpperCAmelCase  							=		_get_answer_coordinates(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  )
  UpperCAmelCase  							=		_get_float_answer(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  )
  UpperCAmelCase  							=		_get_answer_text(SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE    ,				SCREAMING_SNAKE_CASE  )
  # keep the original data the same with TaPas
  if len(SCREAMING_SNAKE_CASE  ) == 0:
    UpperCAmelCase  							=		[EMPTY_ANSWER]
  return answer_text





'''simple docstring'''




from collections import namedtuple

_a			:	int								=  namedtuple('from_to', 'from_ to')

_a			:	Dict								=  {
    'atm': from_to(1, 1),
    'pascal': from_to(0.0000098, 101_325),
    'bar': from_to(0.986923, 1.01325),
    'kilopascal': from_to(0.00986923, 101.325),
    'megapascal': from_to(9.86923, 0.101325),
    'psi': from_to(0.068046, 14.6959),
    'inHg': from_to(0.0334211, 29.9213),
    'torr': from_to(0.00131579, 760),
}


def  lowerCamelCase__						(  SCREAMING_SNAKE_CASE :				float    ,				SCREAMING_SNAKE_CASE :				str    ,				SCREAMING_SNAKE_CASE :				str  ):
  if from_type not in PRESSURE_CONVERSION:
    raise ValueError(
        f'''Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'''
        + ', '.join(SCREAMING_SNAKE_CASE  )  )
  if to_type not in PRESSURE_CONVERSION:
    raise ValueError(
        f'''Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'''
        + ', '.join(SCREAMING_SNAKE_CASE  )  )
  return (
      value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
  )


if __name__ == "__main__":
  import doctest

  doctest.testmod()


