code: 
  
  
  
  
  
  import numpy as np
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__="utf-8"       ,lowerCAmelCase__="surrogatepass"	):
  		lowerCamelCase_  :    int   	=			bin(int.from_bytes(text.encode(lowerCAmelCase__       ,lowerCAmelCase__	)       ,'big'	)	)[2:]
  		return bits.zfill(8 * ((len(lowerCAmelCase__	) + 7) // 8)	)
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__="utf-8"       ,lowerCAmelCase__="surrogatepass"	):
  		lowerCamelCase_  :    str   	=			int(lowerCAmelCase__       ,2	)
  		return n.to_bytes((n.bit_length() + 7) // 8       ,'big'	).decode(lowerCAmelCase__       ,lowerCAmelCase__	) or "\0"
  
  
  def 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		if size_par + len(lowerCAmelCase__	) <= 2**size_par - (len(lowerCAmelCase__	) - 1):
  				raise ValueError('size of parity don\'t match with size of data'	)
  
  		lowerCamelCase_  :    List[Any]   	=			[]
  		lowerCamelCase_  :    List[str]   	=			[]
  		lowerCamelCase_  :    Any   	=			[bin(lowerCAmelCase__	)[2:] for x in range(1       ,size_par + len(lowerCAmelCase__	) + 1	)]
  
  		# sorted information data for the size of the output data
  		lowerCamelCase_  :    Tuple   	=			[]
  		# data position template + parity
  		lowerCamelCase_  :    Dict   	=			[]
  		# parity bit counter
  		lowerCamelCase_  :    Any   	=			0
  		# counter position of data bits
  		lowerCamelCase_  :    Any   	=			0
  
  		for x in range(1       ,size_par + len(lowerCAmelCase__	) + 1	):
  				# Performs a template of bit positions - who should be given,
  				# and who should be parity
  				if qtd_bp < size_par:
  						if (np.log(lowerCAmelCase__	) / np.log(2	)).is_integer():
  								data_out_gab.append('P'	)
  								lowerCamelCase_  :    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(lowerCAmelCase__	)
  
      # Calculates parity
  		lowerCamelCase_  :    List[str]   	=			0  # parity bit counter
  		for bp in range(1       ,size_par + 1	):
  				# Bit counter one for a given parity
  				lowerCamelCase_  :    str   	=			0
  				# counter to control the loop reading
  				lowerCamelCase_  :    List[str]   	=			0
  				for x in data_ord:
  						if x is not None:
  								try:
  										lowerCamelCase_  :    List[str]   	=			(bin_pos[cont_loop])[-1 * (bp)]
  								except IndexError:
  										lowerCamelCase_  :    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
  		lowerCamelCase_  :    Dict   	=			0  # parity bit counter
  		for x in range(0       ,size_par + len(lowerCAmelCase__	)	):
  				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 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,lowerCAmelCase__	):
  		lowerCamelCase_  :    str   	=			[]
  		# Parity bit counter
  		lowerCamelCase_  :    Any   	=			0
  		# Counter p data bit reading
  		lowerCamelCase_  :    Union[str, Any]   	=			0
  		# list of parity received
  		lowerCamelCase_  :    Tuple   	=			[]
  		lowerCamelCase_  :    Any   	=			[]
  
  		for x in range(1       ,len(lowerCAmelCase__	) + 1	):
  				# Performs a template of bit positions - who should be given,
  				#  and who should be parity
  				if qtd_bp < size_par and (np.log(lowerCAmelCase__	) / np.log(2	)).is_integer():
  						data_out_gab.append('P'	)
  						lowerCamelCase_  :    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
  		lowerCamelCase_  :    Optional[Any]   	=			[]
  		lowerCamelCase_  :    Tuple   	=			[]
  		lowerCamelCase_  :    Dict   	=			[bin(lowerCAmelCase__	)[2:] for x in range(1       ,size_par + len(lowerCAmelCase__	) + 1	)]
  
  		#  sorted information data for the size of the output data
  		lowerCamelCase_  :    Any   	=			[]
  		# Data position feedback + parity
  		lowerCamelCase_  :    Any   	=			[]
  		# Parity bit counter
  		lowerCamelCase_  :    Tuple   	=			0
  		# Counter p data bit reading
  		lowerCamelCase_  :    Tuple   	=			0
  
  		for x in range(1       ,size_par + len(lowerCAmelCase__	) + 1	):
  				# Performs a template position of bits - who should be given,
  				# and who should be parity
  				if qtd_bp < size_par and (np.log(lowerCAmelCase__	) / np.log(2	)).is_integer():
  						data_out_gab.append('P'	)
  						lowerCamelCase_  :    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_ord.append(data_output[cont_data]	)
  						cont_data += 1
  				else:
  						data_ord.append(lowerCAmelCase__	)
  
      # Calculates parity
  		lowerCamelCase_  :    Dict   	=			0  # parity bit counter
  		for bp in range(1       ,size_par + 1	):
  				# Bit counter one for a certain parity
  				lowerCamelCase_  :    Optional[int]   	=			0
  				# Counter to control loop reading
  				lowerCamelCase_  :    int   	=			0
  				for x in data_ord:
  						if x is not None:
  								try:
  										lowerCamelCase_  :    Optional[Any]   	=			(bin_pos[cont_loop])[-1 * (bp)]
  								except IndexError:
  										lowerCamelCase_  :    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
  		lowerCamelCase_  :    Dict   	=			0  # Parity bit counter
  		for x in range(0       ,size_par + len(lowerCAmelCase__	)	):
  				if data_ord[x] is None:
  						data_out.append(str(parity[cont_bp]	)	)
  						cont_bp += 1
  				else:
  						data_out.append(data_ord[x]	)
  
  		lowerCamelCase_  :    List[str]   	=			parity_received == parity
  		return data_output, ack
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_sentencepiece_available,
      is_tf_available,
      is_tokenizers_available,
      is_torch_available,
  )
  
  
  _lowercase		:     int 					={
      """configuration_marian""": ["""MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MarianConfig""", """MarianOnnxConfig"""],
  }
  
  try:
  		if not is_sentencepiece_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=["""MarianTokenizer"""]
  
  try:
  		if not is_torch_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Any 					=[
  		    """MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST""",
  		    """MarianForCausalLM""",
  		    """MarianModel""",
  		    """MarianMTModel""",
  		    """MarianPreTrainedModel""",
  		]
  
  try:
  		if not is_tf_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Dict 					=["""TFMarianModel""", """TFMarianMTModel""", """TFMarianPreTrainedModel"""]
  
  try:
  		if not is_flax_available():
  				raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  		pass
  else:
  		_lowercase		:     Optional[Any] 					=["""FlaxMarianModel""", """FlaxMarianMTModel""", """FlaxMarianPreTrainedModel"""]
  
  if TYPE_CHECKING:
  		from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig
  
  		try:
  				if not is_sentencepiece_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .tokenization_marian import MarianTokenizer
  
  		try:
  				if not is_torch_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_marian import (
  				    MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
  				    MarianForCausalLM,
  				    MarianModel,
  				    MarianMTModel,
  				    MarianPreTrainedModel,
  				)
  
  		try:
  				if not is_tf_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel
  
  		try:
  				if not is_flax_available():
  						raise OptionalDependencyNotAvailable()
  		except OptionalDependencyNotAvailable:
  				pass
  		else:
  				from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel
  
  else:
  		import sys
  
  		_lowercase		:     List[str] 					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
  