


'''simple docstring'''







import numpy as np



def 				_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__="utf-8"     ,   UpperCamelCase__="surrogatepass"		):






				"""simple docstring"""



				__magic_name__				:					Optional[Any]						       =       bin(int.from_bytes(text.encode(UpperCamelCase__     ,   UpperCamelCase__		)     ,   "big"		)		)[2:]
				return bits.zfill(8 * ((len(UpperCamelCase__		) + 7) // 8)		)



def 				_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__="utf-8"     ,   UpperCamelCase__="surrogatepass"		):






				"""simple docstring"""



				__magic_name__				:					Optional[int]						       =       int(UpperCamelCase__     ,   2		)
				return n.to_bytes((n.bit_length() + 7) // 8     ,   "big"		).decode(UpperCamelCase__     ,   UpperCamelCase__		) or "\0"



def 				_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__		):






				"""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"		)

				__magic_name__				:					Tuple						       =       []
				__magic_name__				:					List[str]						       =       []
				__magic_name__				:					List[str]						       =       [bin(UpperCamelCase__		)[2:] for x in range(1     ,   size_par + len(UpperCamelCase__		) + 1		)]

				# sorted information data for the size of the output data
				__magic_name__				:					int						       =       []
				# data position template + parity
				__magic_name__				:					int						       =       []
				# parity bit counter
				__magic_name__				:					Optional[Any]						       =       0
				# counter position of data bits
				__magic_name__				:					Dict						       =       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"		)
																__magic_name__				:					List[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
				__magic_name__				:					List[str]						       =       0  # parity bit counter
				for bp in range(1     ,   size_par + 1		):
								# Bit counter one for a given parity
								__magic_name__				:					List[str]						       =       0
								# counter to control the loop reading
								__magic_name__				:					List[str]						       =       0
								for x in data_ord:
												if x is not None:
																try:
																				__magic_name__				:					Optional[int]						       =       (bin_pos[cont_loop])[-1 * (bp)]
																except IndexError:
																				__magic_name__				:					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
				__magic_name__				:					Union[str, 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]		)

				return data_out




def 				_UpperCamelCase							( UpperCamelCase__     ,   UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__				:					Union[str, Any]						       =       []
				# Parity bit counter
				__magic_name__				:					List[str]						       =       0
				# Counter p data bit reading
				__magic_name__				:					Optional[int]						       =       0
				# list of parity received
				__magic_name__				:					Optional[int]						       =       []
				__magic_name__				:					Dict						       =       []

				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"		)
												__magic_name__				:					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_output.append(data[cont_data]		)
								else:
												parity_received.append(data[cont_data]		)
								cont_data += 1

				# -----------calculates the parity with the data
				__magic_name__				:					Optional[int]						       =       []
				__magic_name__				:					int						       =       []
				__magic_name__				:					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
				__magic_name__				:					Optional[int]						       =       []
				# Data position feedback + parity
				__magic_name__				:					Union[str, Any]						       =       []
				# Parity bit counter
				__magic_name__				:					List[Any]						       =       0
				# Counter p data bit reading
				__magic_name__				:					Optional[int]						       =       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"		)
												__magic_name__				:					Tuple						       =       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
				__magic_name__				:					str						       =       0  # parity bit counter
				for bp in range(1     ,   size_par + 1		):
								# Bit counter one for a certain parity
								__magic_name__				:					Optional[int]						       =       0
								# Counter to control loop reading
								__magic_name__				:					Optional[Any]						       =       0
								for x in data_ord:
												if x is not None:
																try:
																				__magic_name__				:					int						       =       (bin_pos[cont_loop])[-1 * (bp)]
																except IndexError:
																				__magic_name__				:					Tuple						       =       "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
				__magic_name__				:					Optional[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]		)

				__magic_name__				:					str						       =       parity_received == parity
				return data_output, ack



'''simple docstring'''







import unittest
from dataclasses import dataclass
from typing import Optional

from transformers.utils import ModelOutput






@dataclass
class 		_snake_case    (				snake_case_		):






						'''simple docstring'''







						__snake_case   =      42
						__snake_case   =      None
						__snake_case   =      None






class 		_snake_case    (				unittest.TestCase		):






						'''simple docstring'''







						def lowerCAmelCase__ (  self:	List[str]     )							->	str:
										__magic_name__				:					List[Any]						       =       ModelOutputTest(a=30     )
										self.assertEqual(x.a      ,							30     )
										self.assertIsNone(x.b     )
										self.assertIsNone(x.c     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Optional[int]						       =       x.d







						def lowerCAmelCase__ (  self:	Dict     )							->	Dict:
										__magic_name__				:					List[Any]						       =       ModelOutputTest(a=30      ,							b=10     )
										self.assertEqual(x[0]      ,							30     )
										self.assertEqual(x[1]      ,							10     )
										self.assertEqual(x[:2]      ,							(30, 10)     )
										self.assertEqual(x[:]      ,							(30, 10)     )

										__magic_name__				:					str						       =       ModelOutputTest(a=30      ,							c=10     )
										self.assertEqual(x[0]      ,							30     )
										self.assertEqual(x[1]      ,							10     )
										self.assertEqual(x[:2]      ,							(30, 10)     )
										self.assertEqual(x[:]      ,							(30, 10)     )







						def lowerCAmelCase__ (  self:	List[Any]     )							->	Optional[int]:
										__magic_name__				:					Optional[Any]						       =       ModelOutputTest(a=30      ,							b=10     )
										self.assertEqual(x["a"]      ,							30     )
										self.assertEqual(x["b"]      ,							10     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					str						       =       x["c"]

										__magic_name__				:					Optional[Any]						       =       ModelOutputTest(a=30      ,							c=10     )
										self.assertEqual(x["a"]      ,							30     )
										self.assertEqual(x["c"]      ,							10     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Union[str, Any]						       =       x["b"]







						def lowerCAmelCase__ (  self:	Optional[Any]     )							->	Any:
										__magic_name__				:					Any						       =       ModelOutputTest(a=30     )
										self.assertEqual(list(x.keys()     )      ,							["a"]     )
										self.assertEqual(list(x.values()     )      ,							[30]     )
										self.assertEqual(list(x.items()     )      ,							[("a", 30)]     )
										self.assertEqual(list(__UpperCamelCase     )      ,							["a"]     )

										__magic_name__				:					Dict						       =       ModelOutputTest(a=30      ,							b=10     )
										self.assertEqual(list(x.keys()     )      ,							["a", "b"]     )
										self.assertEqual(list(x.values()     )      ,							[30, 10]     )
										self.assertEqual(list(x.items()     )      ,							[("a", 30), ("b", 10)]     )
										self.assertEqual(list(__UpperCamelCase     )      ,							["a", "b"]     )

										__magic_name__				:					int						       =       ModelOutputTest(a=30      ,							c=10     )
										self.assertEqual(list(x.keys()     )      ,							["a", "c"]     )
										self.assertEqual(list(x.values()     )      ,							[30, 10]     )
										self.assertEqual(list(x.items()     )      ,							[("a", 30), ("c", 10)]     )
										self.assertEqual(list(__UpperCamelCase     )      ,							["a", "c"]     )

										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					str						       =       x.update({"d": 20}     )
										with self.assertRaises(__UpperCamelCase     ):
														del x["a"]
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					List[str]						       =       x.pop("a"     )
										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Optional[Any]						       =       x.setdefault("d"      ,							32     )







						def lowerCAmelCase__ (  self:	Dict     )							->	int:
										__magic_name__				:					Any						       =       ModelOutputTest(a=30     )
										__magic_name__				:					Tuple						       =       10
										self.assertEqual(x.a      ,							10     )
										self.assertEqual(x["a"]      ,							10     )







						def lowerCAmelCase__ (  self:	Dict     )							->	Union[str, Any]:
										__magic_name__				:					Tuple						       =       ModelOutputTest(a=30     )
										__magic_name__				:					Union[str, Any]						       =       10
										self.assertEqual(x.a      ,							10     )
										self.assertEqual(x["a"]      ,							10     )







						def lowerCAmelCase__ (  self:	Optional[int]     )							->	Optional[int]:
										__magic_name__				:					Tuple						       =       ModelOutputTest({"a": 30, "b": 10}     )
										self.assertEqual(list(x.keys()     )      ,							["a", "b"]     )
										self.assertEqual(x.a      ,							30     )
										self.assertEqual(x.b      ,							10     )







						def lowerCAmelCase__ (  self:	Optional[int]     )							->	Optional[Any]:
										__magic_name__				:					List[str]						       =       ModelOutputTest([("a", 30), ("b", 10)]     )
										self.assertEqual(list(x.keys()     )      ,							["a", "b"]     )
										self.assertEqual(x.a      ,							30     )
										self.assertEqual(x.b      ,							10     )

										with self.assertRaises(__UpperCamelCase     ):
														__magic_name__				:					Any						       =       ModelOutputTest([("a", 30), (10, 10)]     )

										__magic_name__				:					Any						       =       ModelOutputTest(a=(30, 30)     )
										self.assertEqual(list(x.keys()     )      ,							["a"]     )
										self.assertEqual(x.a      ,							(30, 30)     )