



import numpy as np





def 				A      (	_UpperCAmelCase							:  Optional[int]				,  _UpperCAmelCase							:  Dict="utf-8"				,  _UpperCAmelCase							:  Any="surrogatepass"       )							->					Optional[int]:







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





def 				A      (	_UpperCAmelCase							:  str				,  _UpperCAmelCase							:  Tuple="utf-8"				,  _UpperCAmelCase							:  Dict="surrogatepass"       )							->					int:







			'''simple docstring'''
			_UpperCAmelCase									=  int(_UpperCAmelCase				,  2       )
			return n.to_bytes((n.bit_length() + 7) // 8				,  'big'       ).decode(_UpperCAmelCase				,  _UpperCAmelCase       ) or "\0"





def 				A      (	_UpperCAmelCase							:  Union[str, Any]				,  _UpperCAmelCase							:  List[Any]       )							->					int:







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

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







			'''simple docstring'''
			_UpperCAmelCase									=  []
			# Parity bit counter
			_UpperCAmelCase									=  0
			# Counter p data bit reading
			_UpperCAmelCase									=  0
			# list of parity received
			_UpperCAmelCase									=  []
			_UpperCAmelCase									=  []

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

			#  sorted information data for the size of the output data
			_UpperCAmelCase									=  []
			# Data position feedback + parity
			_UpperCAmelCase									=  []
			# Parity bit counter
			_UpperCAmelCase									=  0
			# Counter p data bit reading
			_UpperCAmelCase									=  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									=  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									=  0  # parity bit counter
			for bp in range(1				,  size_par + 1       ):
						# Bit counter one for a certain parity
						_UpperCAmelCase									=  0
						# Counter to control loop reading
						_UpperCAmelCase									=  0
						for x in data_ord:
									if x is not None:
												try:
															_UpperCAmelCase									=  (bin_pos[cont_loop])[-1 * (bp)]
												except IndexError:
															_UpperCAmelCase									=  '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									=  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									=  parity_received == parity
			return data_output, ack





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase__  =			{
    "configuration_align": [
        "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AlignConfig",
        "AlignTextConfig",
        "AlignVisionConfig",
    ],
    "processing_align": ["AlignProcessor"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  =			[
							    "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "AlignModel",
							    "AlignPreTrainedModel",
							    "AlignTextModel",
							    "AlignVisionModel",
							]

if TYPE_CHECKING:
							from .configuration_align import (
							    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    AlignConfig,
							    AlignTextConfig,
							    AlignVisionConfig,
							)
							from .processing_align import AlignProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_align import (
														    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    AlignModel,
														    AlignPreTrainedModel,
														    AlignTextModel,
														    AlignVisionModel,
														)

else:
							import sys

							UpperCAmelCase__  =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
