




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 							A__   (snake_case      :		List[str]		,  snake_case      :		Optional[int]							)    ->	Tuple:
					__UpperCamelCase				:  List[str]								=			value.split(snake_case							)
					return len(snake_case							) > 1 and any((len(snake_case							) == 3 for x in split)							)





def 							A__   (snake_case      :		Any							)    ->	List[Any]:
					if isinstance(snake_case		,  snake_case							):
										return value
					if isinstance(snake_case		,  snake_case							):
										return float(snake_case							)
					if not isinstance(snake_case		,  snake_case							):
										raise ValueError("""Argument value is not a string. Can\'t parse it as float"""							)
					__UpperCamelCase				:  List[str]								=			value

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





def 							A__   (snake_case      :		Optional[int]							)    ->	str:
					if answer is None:
										return None
					try:
										__UpperCamelCase				:  Optional[int]								=			convert_to_float(snake_case							)
										if isinstance(snake_case		,  snake_case							) and math.isnan(snake_case							):
															return None
										return value
					except ValueError:
										return answer.lower()


a__		    =    {
    """text""": lambda x: x,
    """real""": convert_to_float,
}


class       SCREAMING_SNAKE_CASE_							(					enum.Enum      ):



	"""simple docstring"""


	__magic_name__      :					List[str]			  =		0
	__magic_name__      :					str			  =		1
	__magic_name__      :					List[Any]			  =		2
	__magic_name__      :					int			  =		3
	__magic_name__      :					Optional[int]			  =		4
	__magic_name__      :					List[str]			  =		5







class       SCREAMING_SNAKE_CASE_							(					enum.Enum      ):



	"""simple docstring"""


	__magic_name__      :					Optional[int]			  =		0
	__magic_name__      :					Union[str, Any]			  =		1
	__magic_name__      :					Optional[Any]			  =		2







@dataclasses.dataclass
class       SCREAMING_SNAKE_CASE_							:



	"""simple docstring"""


	__magic_name__      :					Dict			  =		42
	__magic_name__      :					List[Any]			  =		42
	__magic_name__      :					int			  =		42







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





def 							A__   (snake_case      :		str							)    ->	List[Any]:
					return list(_TOKENIZER.findall(x.lower()							)							)





def 							A__   (snake_case      :		List[Any]		,  snake_case      :		Optional[Any]		,  snake_case      :		Optional[Any]							)    ->	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 							A__   (snake_case      :		Any		,  snake_case      :		Optional[Any]		,  snake_case      :		Optional[Any]							)    ->	Tuple:
					__UpperCamelCase				:  str								=			table["""types"""]
					return _TYPE_CONVERTER[types[column]](snake_case							)





def 							A__   (snake_case      :		Tuple							)    ->	str:
					return isinstance(snake_case		,  snake_case							)





def 							A__   (snake_case      :		Union[str, Any]		,  snake_case      :		Optional[int]		,  snake_case      :		Dict							)    ->	str:
					for cond in conditions:
										__UpperCamelCase				:  List[str]								=			row[cond.column]

										__UpperCamelCase				:  Tuple								=			_parse_value(snake_case		,  cond.column		,  cond.cmp_value							)

										if _is_string(snake_case							) and _is_string(snake_case							):
															__UpperCamelCase				:  Dict								=			_normalize_for_match(snake_case							)
															__UpperCamelCase				:  Tuple								=			_normalize_for_match(snake_case							)

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

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





def 							A__   (snake_case      :		Dict		,  snake_case      :		Any		,  snake_case      :		Tuple							)    ->	str:
					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(snake_case							)							)

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

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





def 							A__   (snake_case      :		List[str]		,  snake_case      :		List[Any]							)    ->	List[Any]:
					__UpperCamelCase				:  Optional[Any]								=			sql_query["""agg"""]
					if aggregation_op_index >= 3:
										__UpperCamelCase				:  List[Any]								=			_Aggregation(snake_case							)
					else:
										__UpperCamelCase				:  Tuple								=			_Aggregation.NONE

					__UpperCamelCase				:  str								=			sql_query["""sel"""]
					__UpperCamelCase				:  Union[str, Any]								=			[
					    _Condition(snake_case		,  _Operator(snake_case							)		,  snake_case							)
					    for column, operator, cmp_value in zip(
					        sql_query["""conds"""]["""column_index"""]		,  sql_query["""conds"""]["""operator_index"""]		,  sql_query["""conds"""]["""condition"""]							)
					]

					__UpperCamelCase				:  List[str]								=			[]
					for row in range(len(table["""rows"""]							)							):
										if _respect_conditions(snake_case		,  table["""rows"""][row]		,  snake_case							):
															indices.append((row, target_column)							)

					if not indices:
										return [], aggregation_op

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

					# Parsing of MIN/MAX.
					if aggregation_op_index in (1, 2):
										__UpperCamelCase				:  Optional[Any]								=			{2: min, 1: max}
										__UpperCamelCase				:  int								=			[(table["""rows"""][i][j], index) for index, (i, j) in enumerate(snake_case							)]
										__UpperCamelCase				:  Optional[int]								=			functools.reduce(operators[sql_query["""agg"""]]		,  snake_case							)

										__UpperCamelCase				:  Optional[int]								=			[indices[reduced[1]]]
										return ret, _Aggregation.NONE

					return indices, aggregation_op





def 							A__   (snake_case      :		int		,  snake_case      :		Optional[Any]		,  snake_case      :		int							)    ->	List[str]:
					if float_answer is not None:
										return [str(snake_case							)]
					return [str(table["""real_rows"""][r][c]							) for r, c in answer_coordinates]







def 							A__   (snake_case      :		Dict		,  snake_case      :		Tuple							)    ->	Tuple:
					__UpperCamelCase			, __UpperCamelCase				:  Tuple								=			_get_answer_coordinates(snake_case		,  snake_case							)
					__UpperCamelCase				:  int								=			_get_float_answer(snake_case		,  snake_case		,  snake_case							)
					__UpperCamelCase				:  Union[str, Any]								=			_get_answer_text(snake_case		,  snake_case		,  snake_case							)
					# keep the original data the same with TaPas
					if len(snake_case							) == 0:
										__UpperCamelCase				:  str								=			[EMPTY_ANSWER]
					return answer_text












a__		    =    {
    "kilogram": 1,
    "gram": pow(10, 3),
    "milligram": pow(10, 6),
    "metric-ton": pow(10, -3),
    "long-ton": 0.00_0984_2073,
    "short-ton": 0.00_1102_3122,
    "pound": 2.20_4624_4202,
    "stone": 0.15_7473_1728,
    "ounce": 35.2_7399_0723,
    "carrat": 5000,
    "atomic-mass-unit": 6.0_2213_6652e26,
}

a__		    =    {
    "kilogram": 1,
    "gram": pow(10, -3),
    "milligram": pow(10, -6),
    "metric-ton": pow(10, 3),
    "long-ton": 1016.0_4608,
    "short-ton": 907.184,
    "pound": 0.45_3592,
    "stone": 6.3_5029,
    "ounce": 0.028_3495,
    "carrat": 0.0002,
    "atomic-mass-unit": 1.6_6054_0199e-27,
}





def 							A__   (snake_case      :		str		,  snake_case      :		str		,  snake_case      :		float							)    ->	float:
					if to_type not in KILOGRAM_CHART or from_type not in WEIGHT_TYPE_CHART:
										__UpperCamelCase				:  Any								=			(
										    F'''Invalid \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
										    F'''Supported values are: {", ".join(snake_case							)}'''
										)
										raise ValueError(snake_case							)
					return value * KILOGRAM_CHART[to_type] * WEIGHT_TYPE_CHART[from_type]


if __name__ == "__main__":
	import doctest

	doctest.testmod()






