





"""simple docstring"""


import numpy as np

def     UpperCamelCase       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE="utf-8"       ,    SCREAMING_SNAKE_CASE="surrogatepass"    ):
						UpperCamelCase							:		Union[str, Any]							      = bin(int.from_bytes(text.encode(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    )       ,    """big"""    )    )[2:]
						return bits.zfill(8 * ((len(SCREAMING_SNAKE_CASE    ) + 7) // 8)    )

def     UpperCamelCase       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE="utf-8"       ,    SCREAMING_SNAKE_CASE="surrogatepass"    ):
						UpperCamelCase							:		str							      = int(SCREAMING_SNAKE_CASE       ,    2    )
						return n.to_bytes((n.bit_length() + 7) // 8       ,    """big"""    ).decode(SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ) or "\0"

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

						UpperCamelCase							:		Tuple							      = []
						UpperCamelCase							:		Dict							      = []
						UpperCamelCase							:		Union[str, Any]							      = [bin(SCREAMING_SNAKE_CASE    )[2:] for x in range(1       ,    size_par + len(SCREAMING_SNAKE_CASE    ) + 1    )]

						# sorted information data for the size of the output data
						UpperCamelCase							:		List[str]							      = []
						# data position template + parity
						UpperCamelCase							:		Union[str, Any]							      = []
						# parity bit counter
						UpperCamelCase							:		List[Any]							      = 0
						# counter position of data bits
						UpperCamelCase							:		str							      = 0

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

    # Calculates parity
						UpperCamelCase							:		Optional[Any]							      = 0  # parity bit counter
						for bp in range(1       ,    size_par + 1    ):
												# Bit counter one for a given parity
												UpperCamelCase							:		List[str]							      = 0
												# counter to control the loop reading
												UpperCamelCase							:		Any							      = 0
												for x in data_ord:
																		if x is not None:
																								try:
																														UpperCamelCase							:		str							      = (bin_pos[cont_loop])[-1 * (bp)]
																								except IndexError:
																														UpperCamelCase							:		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
						UpperCamelCase							:		Optional[int]							      = 0  # parity bit counter
						for x in range(0       ,    size_par + len(SCREAMING_SNAKE_CASE    )    ):
												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       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		Optional[int]							      = []
						# Parity bit counter
						UpperCamelCase							:		Tuple							      = 0
						# Counter p data bit reading
						UpperCamelCase							:		Optional[int]							      = 0
						# list of parity received
						UpperCamelCase							:		int							      = []
						UpperCamelCase							:		Dict							      = []

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

						#  sorted information data for the size of the output data
						UpperCamelCase							:		List[Any]							      = []
						# Data position feedback + parity
						UpperCamelCase							:		Any							      = []
						# Parity bit counter
						UpperCamelCase							:		str							      = 0
						# Counter p data bit reading
						UpperCamelCase							:		Tuple							      = 0

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

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

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










"""simple docstring"""


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


__magic_name__					:				Any	= logging.get_logger(__name__)

__magic_name__					:				Dict	= {
    """uw-madison/yoso-4096""": """https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json""",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}






class        lowercase__ (      __SCREAMING_SNAKE_CASE  ):

			"""simple docstring"""
			__lowerCAmelCase    :							Optional[int]								=     """yoso"""







			def __init__(			self	,      _A=5_0_2_6_5	,      _A=7_6_8	,      _A=1_2	,      _A=1_2	,      _A=3_0_7_2	,      _A="gelu"	,      _A=0.1	,      _A=0.1	,      _A=4_0_9_6	,      _A=1	,      _A=0.02	,      _A=1e-1_2	,      _A="absolute"	,      _A=True	,      _A=9	,      _A=6_4	,      _A=None	,      _A=True	,      _A=True	,      _A=1	,      _A=0	,      _A=2	,      **_A	,      ):






									'''simple docstring'''







									super().__init__(pad_token_id=_A	,      bos_token_id=_A	,      eos_token_id=_A	,      **_A						)

									UpperCamelCase							:		Any							      = vocab_size
									UpperCamelCase							:		Any							      = max_position_embeddings
									UpperCamelCase							:		int							      = hidden_size
									UpperCamelCase							:		List[Any]							      = num_hidden_layers
									UpperCamelCase							:		Any							      = num_attention_heads
									UpperCamelCase							:		Optional[Any]							      = intermediate_size
									UpperCamelCase							:		Optional[int]							      = hidden_act
									UpperCamelCase							:		List[Any]							      = hidden_dropout_prob
									UpperCamelCase							:		int							      = attention_probs_dropout_prob
									UpperCamelCase							:		Any							      = initializer_range
									UpperCamelCase							:		Optional[Any]							      = type_vocab_size
									UpperCamelCase							:		Any							      = layer_norm_eps
									UpperCamelCase							:		List[Any]							      = position_embedding_type
									UpperCamelCase							:		Optional[Any]							      = use_expectation
									UpperCamelCase							:		Any							      = hash_code_len
									UpperCamelCase							:		Optional[int]							      = num_hash
									UpperCamelCase							:		List[Any]							      = conv_window
									UpperCamelCase							:		Tuple							      = use_fast_hash
									UpperCamelCase							:		Dict							      = lsh_backward



