



'''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


SCREAMING_SNAKE_CASE__     : Optional[Any]				=   """none"""
SCREAMING_SNAKE_CASE__     : Optional[int]				=   """none"""







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		SCREAMING_SNAKE_CASE_						:Optional[int]										=      value.split(SCREAMING_SNAKE_CASE     )
		return len(SCREAMING_SNAKE_CASE     ) > 1 and any((len(SCREAMING_SNAKE_CASE     ) == 3 for x in split)     )







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		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'     )
		SCREAMING_SNAKE_CASE_						:Tuple										=      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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		if answer is None:
				return None
		try:
				SCREAMING_SNAKE_CASE_						:List[str]										=      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()


SCREAMING_SNAKE_CASE__     : Dict				=   {
    """text""": lambda x: x,
    """real""": convert_to_float,
}




class 				__lowerCAmelCase(							enum.Enum      ):
			__snake_case  :		int		=      0
			__snake_case  :		Optional[Any]		=      1
			__snake_case  :		Tuple		=      2
			__snake_case  :		Optional[Any]		=      3
			__snake_case  :		Dict		=      4
			__snake_case  :		int		=      5




class 				__lowerCAmelCase(							enum.Enum      ):
			__snake_case  :		int		=      0
			__snake_case  :		Dict		=      1
			__snake_case  :		Optional[int]		=      2




@dataclasses.dataclass
class 				__lowerCAmelCase:
			__snake_case  :		Text
			__snake_case  :		_Operator
			__snake_case  :		Any


SCREAMING_SNAKE_CASE__     : Dict				=   re.compile(r"""\w+|[^\w\s]+""", re.UNICODE | re.MULTILINE | re.DOTALL)







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		return list(_TOKENIZER.findall(x.lower()     )     )







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		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__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		SCREAMING_SNAKE_CASE_						:str										=      table['types']
		return _TYPE_CONVERTER[types[column]](SCREAMING_SNAKE_CASE     )







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE     ):
		return isinstance(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		for cond in conditions:
				SCREAMING_SNAKE_CASE_						:Dict										=      row[cond.column]

				SCREAMING_SNAKE_CASE_						:List[str]										=      _parse_value(SCREAMING_SNAKE_CASE ,		cond.column ,		cond.cmp_value     )

				if _is_string(SCREAMING_SNAKE_CASE     ) and _is_string(SCREAMING_SNAKE_CASE     ):
						SCREAMING_SNAKE_CASE_						:List[str]										=      _normalize_for_match(SCREAMING_SNAKE_CASE     )
						SCREAMING_SNAKE_CASE_						:Tuple										=      _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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		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.
		SCREAMING_SNAKE_CASE_						:Dict										=      [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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		SCREAMING_SNAKE_CASE_						:List[Any]										=      sql_query['agg']
		if aggregation_op_index >= 3:
				SCREAMING_SNAKE_CASE_						:Any										=      _Aggregation(SCREAMING_SNAKE_CASE     )
		else:
				SCREAMING_SNAKE_CASE_						:Any										=      _Aggregation.NONE

		SCREAMING_SNAKE_CASE_						:List[Any]										=      sql_query['sel']
		SCREAMING_SNAKE_CASE_						:Tuple										=      [
		    _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']     )
		]

		SCREAMING_SNAKE_CASE_						:Dict										=      []
		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):
				SCREAMING_SNAKE_CASE_						:Any										=      {2: min, 1: max}
				SCREAMING_SNAKE_CASE_						:List[str]										=      [(table['rows'][i][j], index) for index, (i, j) in enumerate(SCREAMING_SNAKE_CASE     )]
				SCREAMING_SNAKE_CASE_						:Dict										=      functools.reduce(operators[sql_query['agg']] ,		SCREAMING_SNAKE_CASE     )

				SCREAMING_SNAKE_CASE_						:Dict										=      [indices[reduced[1]]]
				return ret, _Aggregation.NONE

		return indices, aggregation_op







def  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		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  SCREAMING_SNAKE_CASE__ (				SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     ):
		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						:Optional[int]										=      _get_answer_coordinates(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		SCREAMING_SNAKE_CASE_						:List[str]										=      _get_float_answer(SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE ,		SCREAMING_SNAKE_CASE     )
		SCREAMING_SNAKE_CASE_						:List[Any]										=      _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:
				SCREAMING_SNAKE_CASE_						:List[Any]										=      [EMPTY_ANSWER]
		return answer_text




def 				UpperCamelCase_	(					__snake_case      :    set						,      __snake_case      :    set  )->   set:




						'''simple docstring'''
						assert isinstance(__snake_case						,      __snake_case  ), F'''The input value of [set_a={set_a}] is not a set'''
						assert isinstance(__snake_case						,      __snake_case  ), F'''The input value of [set_b={set_b}] is not a set'''

						return {a + b for a in set_a for b in set_b}


if __name__ == "__main__":
					from doctest import testmod

					testmod()

