



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		( _UpperCAmelCase				:   Union[str, Any]					,  _UpperCAmelCase				:   Optional[int]		):







		'''simple docstring'''





		__UpperCAmelCase       :	Union[str, Any]						=      value.split(_UpperCAmelCase		)
		return len(_UpperCAmelCase		) > 1 and any((len(_UpperCAmelCase		) == 3 for x in split)		)

def 			a		( _UpperCAmelCase				:   Optional[Any]		):







		'''simple docstring'''





		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'''		)
		__UpperCAmelCase       :	List[Any]						=      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 			a		( _UpperCAmelCase				:   Optional[int]		):







		'''simple docstring'''





		if answer is None:
				return None
		try:
				__UpperCAmelCase       :	Union[str, Any]						=      convert_to_float(_UpperCAmelCase		)
				if isinstance(_UpperCAmelCase					,  _UpperCAmelCase		) and math.isnan(_UpperCAmelCase		):
						return None
				return value
		except ValueError:
				return answer.lower()


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

class 						UpperCAmelCase__     (     enum.Enum  ):




			'''simple docstring'''






			UpperCamelCase     		=			0
			UpperCamelCase     		=			1
			UpperCamelCase     		=			2
			UpperCamelCase     		=			3
			UpperCamelCase     		=			4
			UpperCamelCase     		=			5

class 						UpperCAmelCase__     (     enum.Enum  ):




			'''simple docstring'''






			UpperCamelCase     		=			0
			UpperCamelCase     		=			1
			UpperCamelCase     		=			2

@dataclasses.dataclass
class 						UpperCAmelCase__     :




			'''simple docstring'''






			UpperCamelCase     		=			42
			UpperCamelCase     		=			42
			UpperCamelCase     		=			42
__A       =re.compile(R"\w+|[^\w\s]+", re.UNICODE | re.MULTILINE | re.DOTALL)

def 			a		( _UpperCAmelCase				:   Optional[int]		):







		'''simple docstring'''





		return list(_TOKENIZER.findall(x.lower()		)		)

def 			a		( _UpperCAmelCase				:   int					,  _UpperCAmelCase				:   Optional[int]					,  _UpperCAmelCase				:   Dict		):







		'''simple docstring'''





		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		( _UpperCAmelCase				:   str					,  _UpperCAmelCase				:   Union[str, Any]					,  _UpperCAmelCase				:   List[str]		):







		'''simple docstring'''





		__UpperCAmelCase       :	int						=      table['''types''']
		return _TYPE_CONVERTER[types[column]](_UpperCAmelCase		)

def 			a		( _UpperCAmelCase				:   Tuple		):







		'''simple docstring'''





		return isinstance(_UpperCAmelCase					,  _UpperCAmelCase		)

def 			a		( _UpperCAmelCase				:   Any					,  _UpperCAmelCase				:   str					,  _UpperCAmelCase				:   Any		):







		'''simple docstring'''





		for cond in conditions:
				__UpperCAmelCase       :	List[str]						=      row[cond.column]

				__UpperCAmelCase       :	Optional[int]						=      _parse_value(_UpperCAmelCase					,  cond.column					,  cond.cmp_value		)

				if _is_string(_UpperCAmelCase		) and _is_string(_UpperCAmelCase		):
						__UpperCAmelCase       :	Any						=      _normalize_for_match(_UpperCAmelCase		)
						__UpperCAmelCase       :	Union[str, Any]						=      _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 			a		( _UpperCAmelCase				:   str					,  _UpperCAmelCase				:   Dict					,  _UpperCAmelCase				:   List[str]		):







		'''simple docstring'''





		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.
		__UpperCAmelCase       :	Optional[Any]						=      [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 			a		( _UpperCAmelCase				:   Tuple					,  _UpperCAmelCase				:   str		):







		'''simple docstring'''





		__UpperCAmelCase       :	Any						=      sql_query['''agg''']
		if aggregation_op_index >= 3:
				__UpperCAmelCase       :	Any						=      _Aggregation(_UpperCAmelCase		)
		else:
				__UpperCAmelCase       :	Union[str, Any]						=      _Aggregation.NONE

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

		__UpperCAmelCase       :	str						=      []
		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):
				__UpperCAmelCase       :	Optional[int]						=      {2: min, 1: max}
				__UpperCAmelCase       :	List[str]						=      [(table['''rows'''][i][j], index) for index, (i, j) in enumerate(_UpperCAmelCase		)]
				__UpperCAmelCase       :	str						=      functools.reduce(operators[sql_query['''agg''']]					,  _UpperCAmelCase		)

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

		return indices, aggregation_op

def 			a		( _UpperCAmelCase				:   Tuple					,  _UpperCAmelCase				:   Any					,  _UpperCAmelCase				:   Tuple		):







		'''simple docstring'''





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

def 			a		( _UpperCAmelCase				:   List[Any]					,  _UpperCAmelCase				:   List[Any]		):







		'''simple docstring'''





		__UpperCAmelCase				,   __UpperCAmelCase       :	Optional[int]						=      _get_answer_coordinates(_UpperCAmelCase					,  _UpperCAmelCase		)
		__UpperCAmelCase       :	Dict						=      _get_float_answer(_UpperCAmelCase					,  _UpperCAmelCase					,  _UpperCAmelCase		)
		__UpperCAmelCase       :	Union[str, Any]						=      _get_answer_text(_UpperCAmelCase					,  _UpperCAmelCase					,  _UpperCAmelCase		)
		# keep the original data the same with TaPas
		if len(_UpperCAmelCase		) == 0:
				__UpperCAmelCase       :	List[Any]						=      [EMPTY_ANSWER]
		return answer_text










import numpy as np

def 			a		( _UpperCAmelCase				:   str					,  _UpperCAmelCase				:   Any="utf-8"					,  _UpperCAmelCase				:   List[Any]="surrogatepass"		):







		'''simple docstring'''





		__UpperCAmelCase       :	Union[str, Any]						=      bin(int.from_bytes(text.encode(_UpperCAmelCase					,  _UpperCAmelCase		)					,  '''big'''		)		)[2:]
		return bits.zfill(8 * ((len(_UpperCAmelCase		) + 7) // 8)		)

def 			a		( _UpperCAmelCase				:   Dict					,  _UpperCAmelCase				:   Any="utf-8"					,  _UpperCAmelCase				:   str="surrogatepass"		):







		'''simple docstring'''





		__UpperCAmelCase       :	List[str]						=      int(_UpperCAmelCase					,  2		)
		return n.to_bytes((n.bit_length() + 7) // 8					,  '''big'''		).decode(_UpperCAmelCase					,  _UpperCAmelCase		) or "\0"

def 			a		( _UpperCAmelCase				:   List[Any]					,  _UpperCAmelCase				:   List[str]		):







		'''simple docstring'''





		if size_par + len(_UpperCAmelCase		) <= 2**size_par - (len(_UpperCAmelCase		) - 1):
				raise ValueError('''size of parity don\'t match with size of data'''		)

		__UpperCAmelCase       :	str						=      []
		__UpperCAmelCase       :	Any						=      []
		__UpperCAmelCase       :	Any						=      [bin(_UpperCAmelCase		)[2:] for x in range(1					,  size_par + len(_UpperCAmelCase		) + 1		)]

		# sorted information data for the size of the output data
		__UpperCAmelCase       :	Optional[Any]						=      []
		# data position template + parity
		__UpperCAmelCase       :	Any						=      []
		# parity bit counter
		__UpperCAmelCase       :	Tuple						=      0
		# counter position of data bits
		__UpperCAmelCase       :	Optional[int]						=      0

		for x in range(1					,  size_par + len(_UpperCAmelCase		) + 1		):
				# Performs a template of bit positions - who should be given,
				# and who should be parity
				if qtd_bp < size_par:
						if (np.log(_UpperCAmelCase		) / np.log(2		)).is_integer():
								data_out_gab.append('''P'''		)
								__UpperCAmelCase       :	Union[str, Any]						=      qtd_bp + 1
						else:
								data_out_gab.append('''D'''		)
				else:
						data_out_gab.append('''D'''		)

				# Sorts the data to the new output size
				if data_out_gab[-1] == "D":
						data_ord.append(data[cont_data]		)
						cont_data += 1
				else:
						data_ord.append(_UpperCAmelCase		)

    # Calculates parity
		__UpperCAmelCase       :	Union[str, Any]						=      0  # parity bit counter
		for bp in range(1					,  size_par + 1		):
				# Bit counter one for a given parity
				__UpperCAmelCase       :	List[str]						=      0
				# counter to control the loop reading
				__UpperCAmelCase       :	str						=      0
				for x in data_ord:
						if x is not None:
								try:
										__UpperCAmelCase       :	Tuple						=      (bin_pos[cont_loop])[-1 * (bp)]
								except IndexError:
										__UpperCAmelCase       :	List[str]						=      '''0'''
								if aux == "1" and x == "1":
										cont_bo += 1
						cont_loop += 1
				parity.append(cont_bo % 2		)

				qtd_bp += 1

		# Mount the message
		__UpperCAmelCase       :	int						=      0  # parity bit counter
		for x in range(0					,  size_par + len(_UpperCAmelCase		)		):
				if data_ord[x] is None:
						data_out.append(str(parity[cont_bp]		)		)
						cont_bp += 1
				else:
						data_out.append(data_ord[x]		)

		return data_out

def 			a		( _UpperCAmelCase				:   List[str]					,  _UpperCAmelCase				:   str		):







		'''simple docstring'''





		__UpperCAmelCase       :	str						=      []
		# Parity bit counter
		__UpperCAmelCase       :	List[str]						=      0
		# Counter p data bit reading
		__UpperCAmelCase       :	int						=      0
		# list of parity received
		__UpperCAmelCase       :	int						=      []
		__UpperCAmelCase       :	List[Any]						=      []

		for x in range(1					,  len(_UpperCAmelCase		) + 1		):
				# Performs a template of bit positions - who should be given,
				#  and who should be parity
				if qtd_bp < size_par and (np.log(_UpperCAmelCase		) / np.log(2		)).is_integer():
						data_out_gab.append('''P'''		)
						__UpperCAmelCase       :	Union[str, Any]						=      qtd_bp + 1
				else:
						data_out_gab.append('''D'''		)

				# Sorts the data to the new output size
				if data_out_gab[-1] == "D":
						data_output.append(data[cont_data]		)
				else:
						parity_received.append(data[cont_data]		)
				cont_data += 1

		# -----------calculates the parity with the data
		__UpperCAmelCase       :	Optional[int]						=      []
		__UpperCAmelCase       :	Dict						=      []
		__UpperCAmelCase       :	Union[str, Any]						=      [bin(_UpperCAmelCase		)[2:] for x in range(1					,  size_par + len(_UpperCAmelCase		) + 1		)]

		#  sorted information data for the size of the output data
		__UpperCAmelCase       :	str						=      []
		# Data position feedback + parity
		__UpperCAmelCase       :	Any						=      []
		# Parity bit counter
		__UpperCAmelCase       :	int						=      0
		# Counter p data bit reading
		__UpperCAmelCase       :	List[Any]						=      0

		for x in range(1					,  size_par + len(_UpperCAmelCase		) + 1		):
				# Performs a template position of bits - who should be given,
				# and who should be parity
				if qtd_bp < size_par and (np.log(_UpperCAmelCase		) / np.log(2		)).is_integer():
						data_out_gab.append('''P'''		)
						__UpperCAmelCase       :	Dict						=      qtd_bp + 1
				else:
						data_out_gab.append('''D'''		)

				# Sorts the data to the new output size
				if data_out_gab[-1] == "D":
						data_ord.append(data_output[cont_data]		)
						cont_data += 1
				else:
						data_ord.append(_UpperCAmelCase		)

    # Calculates parity
		__UpperCAmelCase       :	Union[str, Any]						=      0  # parity bit counter
		for bp in range(1					,  size_par + 1		):
				# Bit counter one for a certain parity
				__UpperCAmelCase       :	Union[str, Any]						=      0
				# Counter to control loop reading
				__UpperCAmelCase       :	Optional[Any]						=      0
				for x in data_ord:
						if x is not None:
								try:
										__UpperCAmelCase       :	int						=      (bin_pos[cont_loop])[-1 * (bp)]
								except IndexError:
										__UpperCAmelCase       :	int						=      '''0'''
								if aux == "1" and x == "1":
										cont_bo += 1
						cont_loop += 1
				parity.append(str(cont_bo % 2		)		)

				qtd_bp += 1

		# Mount the message
		__UpperCAmelCase       :	Any						=      0  # Parity bit counter
		for x in range(0					,  size_par + len(_UpperCAmelCase		)		):
				if data_ord[x] is None:
						data_out.append(str(parity[cont_bp]		)		)
						cont_bp += 1
				else:
						data_out.append(data_ord[x]		)

		__UpperCAmelCase       :	Optional[Any]						=      parity_received == parity
		return data_output, ack





