




'''simple docstring'''







import numpy as np






def 		_lowercase		(     lowercase_						,							lowercase_="utf-8"						,							lowercase_="surrogatepass"  ):



		'''simple docstring'''







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






def 		_lowercase		(     lowercase_						,							lowercase_="utf-8"						,							lowercase_="surrogatepass"  ):



		'''simple docstring'''







		_snake_case     	=	int(lowercase_						,							2  )
		return n.to_bytes((n.bit_length() + 7) // 8						,							"big"  ).decode(lowercase_						,							lowercase_  ) or "\0"






def 		_lowercase		(     lowercase_						,							lowercase_  ):



		'''simple docstring'''







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

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

		# sorted information data for the size of the output data
		_snake_case     	=	[]
		# data position template + parity
		_snake_case     	=	[]
		# parity bit counter
		_snake_case     	=	0
		# counter position of data bits
		_snake_case     	=	0

		for x in range(1						,							size_par + len(lowercase_  ) + 1  ):
				# Performs a template of bit positions - who should be given,
				# and who should be parity
				if qtd_bp < size_par:
						if (np.log(lowercase_  ) / np.log(2  )).is_integer():
								data_out_gab.append("P"  )
								_snake_case     	=	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(lowercase_  )

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

				qtd_bp += 1

		# Mount the message
		_snake_case     	=	0  # parity bit counter
		for x in range(0						,							size_par + len(lowercase_  )  ):
				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 		_lowercase		(     lowercase_						,							lowercase_  ):



		'''simple docstring'''







		_snake_case     	=	[]
		# Parity bit counter
		_snake_case     	=	0
		# Counter p data bit reading
		_snake_case     	=	0
		# list of parity received
		_snake_case     	=	[]
		_snake_case     	=	[]

		for x in range(1						,							len(lowercase_  ) + 1  ):
				# Performs a template of bit positions - who should be given,
				#  and who should be parity
				if qtd_bp < size_par and (np.log(lowercase_  ) / np.log(2  )).is_integer():
						data_out_gab.append("P"  )
						_snake_case     	=	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
		_snake_case     	=	[]
		_snake_case     	=	[]
		_snake_case     	=	[bin(lowercase_  )[2:] for x in range(1						,							size_par + len(lowercase_  ) + 1  )]

		#  sorted information data for the size of the output data
		_snake_case     	=	[]
		# Data position feedback + parity
		_snake_case     	=	[]
		# Parity bit counter
		_snake_case     	=	0
		# Counter p data bit reading
		_snake_case     	=	0

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

    # Calculates parity
		_snake_case     	=	0  # parity bit counter
		for bp in range(1						,							size_par + 1  ):
				# Bit counter one for a certain parity
				_snake_case     	=	0
				# Counter to control loop reading
				_snake_case     	=	0
				for x in data_ord:
						if x is not None:
								try:
										_snake_case     	=	(bin_pos[cont_loop])[-1 * (bp)]
								except IndexError:
										_snake_case     	=	"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
		_snake_case     	=	0  # Parity bit counter
		for x in range(0						,							size_par + len(lowercase_  )  ):
				if data_ord[x] is None:
						data_out.append(str(parity[cont_bp]  )  )
						cont_bp += 1
				else:
						data_out.append(data_ord[x]  )

		_snake_case     	=	parity_received == parity
		return data_output, ack











'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase							:						List[Any]							     =  {
    'configuration_mobilenet_v1': [
        'MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileNetV1Config',
        'MobileNetV1OnnxConfig',
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						str							     =  ['MobileNetV1FeatureExtractor']
						_lowerCamelCase							:						Tuple							     =  ['MobileNetV1ImageProcessor']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						List[Any]							     =  [
						    'MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'MobileNetV1ForImageClassification',
						    'MobileNetV1Model',
						    'MobileNetV1PreTrainedModel',
						    'load_tf_weights_in_mobilenet_v1',
						]


if TYPE_CHECKING:
						from .configuration_mobilenet_va import (
						    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    MobileNetVaConfig,
						    MobileNetVaOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
												from .image_processing_mobilenet_va import MobileNetVaImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mobilenet_va import (
												    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MobileNetVaForImageClassification,
												    MobileNetVaModel,
												    MobileNetVaPreTrainedModel,
												    load_tf_weights_in_mobilenet_va,
												)


else:
						import sys

						_lowerCamelCase							:						Union[str, Any]							     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





