


"""simple docstring"""







import numpy as np






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





						"""simple docstring"""

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






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





						"""simple docstring"""

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






def 					a__ (       _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''' )

						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	,			_UpperCamelCase ):





						"""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



"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging


__a			 =   logging.get_logger(__name__)

__a			 =   {
    "google/pegasus-x-base": "https://huggingface.co/google/pegasus-x-base/resolve/main/config.json",
    "google/pegasus-x-large": "https://huggingface.co/google/pegasus-x-large/resolve/main/config.json",
    # See all PEGASUS-X models at https://huggingface.co/models?filter=pegasus-x
}
class 							lowerCamelCase       (			__SCREAMING_SNAKE_CASE ):


							"""simple docstring"""
							SCREAMING_SNAKE_CASE										=      """pegasus_x"""
							SCREAMING_SNAKE_CASE										=      ["""past_key_values"""]
							SCREAMING_SNAKE_CASE										=      {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}






							def __init__(						self :     int		, lowerCamelCase_ :     Any=96103		, lowerCamelCase_ :     Union[str, Any]=16384		, lowerCamelCase_ :     Any=16		, lowerCamelCase_ :     str=4096		, lowerCamelCase_ :     Tuple=16		, lowerCamelCase_ :     Optional[int]=16		, lowerCamelCase_ :     Tuple=4096		, lowerCamelCase_ :     Any=16		, lowerCamelCase_ :     List[str]=0.0		, lowerCamelCase_ :     int=0.0		, lowerCamelCase_ :     List[Any]=True		, lowerCamelCase_ :     str=True		, lowerCamelCase_ :     int="gelu"		, lowerCamelCase_ :     Optional[Any]=1024		, lowerCamelCase_ :     Optional[int]=0.1		, lowerCamelCase_ :     str=0.0		, lowerCamelCase_ :     Optional[Any]=0.0		, lowerCamelCase_ :     List[str]=0.02		, lowerCamelCase_ :     Optional[Any]=0		, lowerCamelCase_ :     List[str]=True		, lowerCamelCase_ :     List[Any]=0		, lowerCamelCase_ :     str=1		, lowerCamelCase_ :     Optional[Any]=1		, lowerCamelCase_ :     Tuple=32		, lowerCamelCase_ :     Dict=512		, lowerCamelCase_ :     List[Any]=True		, **lowerCamelCase_ :     int		, ):
													UpperCAmelCase__		=    vocab_size
													UpperCAmelCase__		=    max_position_embeddings
													UpperCAmelCase__		=    d_model
													UpperCAmelCase__		=    encoder_ffn_dim
													UpperCAmelCase__		=    encoder_layers
													UpperCAmelCase__		=    encoder_attention_heads
													UpperCAmelCase__		=    decoder_ffn_dim
													UpperCAmelCase__		=    decoder_layers
													UpperCAmelCase__		=    decoder_attention_heads
													UpperCAmelCase__		=    dropout
													UpperCAmelCase__		=    attention_dropout
													UpperCAmelCase__		=    activation_dropout
													UpperCAmelCase__		=    activation_function
													UpperCAmelCase__		=    init_std
													UpperCAmelCase__		=    encoder_layerdrop
													UpperCAmelCase__		=    decoder_layerdrop
													UpperCAmelCase__		=    use_cache
													UpperCAmelCase__		=    encoder_layers
													UpperCAmelCase__		=    scale_embedding  # scale factor will be sqrt(d_model) if True

													UpperCAmelCase__		=    num_global_tokens
													UpperCAmelCase__		=    block_size
													UpperCAmelCase__		=    stagger_local_blocks

													super().__init__(
													    pad_token_id=lowerCamelCase_		, eos_token_id=lowerCamelCase_		, is_encoder_decoder=lowerCamelCase_		, decoder_start_token_id=lowerCamelCase_		, forced_eos_token_id=lowerCamelCase_		, **lowerCamelCase_		, )






							@property
							def 					lowerCAmelCase     (						self :     Optional[int]				):
													return self.encoder_attention_heads






							@property
							def 					lowerCAmelCase     (						self :     Optional[int]				):
													return self.d_model