
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


SCREAMING_SNAKE_CASE   :		Union[str, Any]					 =       "none"
SCREAMING_SNAKE_CASE   :		int					 =       "none"



def        lowerCamelCase_  (   __UpperCamelCase ,						__UpperCamelCase     ):
				A_       	=  value.split(__UpperCamelCase     )
				return len(__UpperCamelCase     ) > 1 and any((len(__UpperCamelCase     ) == 3 for x in split)     )



def        lowerCamelCase_  (   __UpperCamelCase     ):
				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        lowerCamelCase_  (   __UpperCamelCase     ):
				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()


SCREAMING_SNAKE_CASE   :		Optional[Any]					 =       {
    "text": lambda x: x,
    "real": convert_to_float,
}






class 					__lowercase		(					enum.Enum       ):
					__magic_name__						:							Tuple     	=	0
					__magic_name__						:							Union[str, Any]     	=	1
					__magic_name__						:							List[str]     	=	2
					__magic_name__						:							int     	=	3
					__magic_name__						:							Optional[int]     	=	4
					__magic_name__						:							Tuple     	=	5






class 					__lowercase		(					enum.Enum       ):
					__magic_name__						:							Any     	=	0
					__magic_name__						:							str     	=	1
					__magic_name__						:							Dict     	=	2






@dataclasses.dataclass
class 					__lowercase		:
					__magic_name__						:							Text
					__magic_name__						:							_Operator
					__magic_name__						:							Any
SCREAMING_SNAKE_CASE   :		Union[str, Any]					 =       re.compile(R"\w+|[^\w\s]+", re.UNICODE | re.MULTILINE | re.DOTALL)



def        lowerCamelCase_  (   __UpperCamelCase     ):
				return list(_TOKENIZER.findall(x.lower()     )     )



def        lowerCamelCase_  (   __UpperCamelCase ,						__UpperCamelCase ,						__UpperCamelCase     ):
				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_  (   __UpperCamelCase ,						__UpperCamelCase ,						__UpperCamelCase     ):
				A_       	=  table['''types''']
				return _TYPE_CONVERTER[types[column]](__UpperCamelCase     )



def        lowerCamelCase_  (   __UpperCamelCase     ):
				return isinstance(__UpperCamelCase ,						__UpperCamelCase     )



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



def        lowerCamelCase_  (   __UpperCamelCase ,						__UpperCamelCase     ):
				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

from collections import namedtuple

SCREAMING_SNAKE_CASE   :		Any					 =       namedtuple("from_to", "from_ to")

SCREAMING_SNAKE_CASE   :		str					 =       {
    "atm": from_to(1, 1),
    "pascal": from_to(0.0000098, 10_1325),
    "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_  (   __UpperCamelCase ,						__UpperCamelCase ,						__UpperCamelCase     ):
				if from_type not in PRESSURE_CONVERSION:
								raise ValueError(
								    F"Invalid 'from_type' value: {from_type!r}  Supported values are:\n"
								    + ''', '''.join(__UpperCamelCase     )     )
				if to_type not in PRESSURE_CONVERSION:
								raise ValueError(
								    F"Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"
								    + ''', '''.join(__UpperCamelCase     )     )
				return (
				    value * PRESSURE_CONVERSION[from_type].from_ * PRESSURE_CONVERSION[to_type].to
				)


if __name__ == "__main__":
						import doctest

						doctest.testmod()