
"""simple docstring"""




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


UpperCAmelCase__   :					List[Any]												=				logging.get_logger(__name__)

UpperCAmelCase__   :					Optional[Any]												=				{
    'facebook/nllb-moe-54B': 'https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json',
}



class 			lowerCAmelCase_		(a__						):


				"""simple docstring"""



				__UpperCamelCase   :		Any       =     '''nllb-moe'''
				__UpperCamelCase   :		str       =     ['''past_key_values''']
				__UpperCamelCase   :		List[str]       =     {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}



				def __init__(self     , SCREAMING_SNAKE_CASE__=12_81_12     , SCREAMING_SNAKE_CASE__=10_24     , SCREAMING_SNAKE_CASE__=12     , SCREAMING_SNAKE_CASE__=40_96     , SCREAMING_SNAKE_CASE__=16     , SCREAMING_SNAKE_CASE__=12     , SCREAMING_SNAKE_CASE__=40_96     , SCREAMING_SNAKE_CASE__=16     , SCREAMING_SNAKE_CASE__=0.05     , SCREAMING_SNAKE_CASE__=0.05     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__="relu"     , SCREAMING_SNAKE_CASE__=10_24     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.1     , SCREAMING_SNAKE_CASE__=0.0     , SCREAMING_SNAKE_CASE__=0.02     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=True     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__="float32"     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=1_28     , SCREAMING_SNAKE_CASE__=64     , SCREAMING_SNAKE_CASE__=4     , SCREAMING_SNAKE_CASE__=4     , SCREAMING_SNAKE_CASE__=0.001     , SCREAMING_SNAKE_CASE__=0.001     , SCREAMING_SNAKE_CASE__="all"     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=False     , SCREAMING_SNAKE_CASE__=1.0     , SCREAMING_SNAKE_CASE__=0.2     , SCREAMING_SNAKE_CASE__=1     , SCREAMING_SNAKE_CASE__=0     , SCREAMING_SNAKE_CASE__=2     , SCREAMING_SNAKE_CASE__=False     , **SCREAMING_SNAKE_CASE__     , )      ->	Dict:



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__		: Dict     =     vocab_size
											SCREAMING_SNAKE_CASE__		: int     =     max_position_embeddings
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     d_model
											SCREAMING_SNAKE_CASE__		: int     =     encoder_ffn_dim
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     encoder_layers
											SCREAMING_SNAKE_CASE__		: int     =     encoder_attention_heads
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     decoder_ffn_dim
											SCREAMING_SNAKE_CASE__		: List[Any]     =     decoder_layers
											SCREAMING_SNAKE_CASE__		: Dict     =     decoder_attention_heads
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     dropout
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     attention_dropout
											SCREAMING_SNAKE_CASE__		: List[Any]     =     activation_dropout
											SCREAMING_SNAKE_CASE__		: Tuple     =     activation_function
											SCREAMING_SNAKE_CASE__		: List[Any]     =     init_std
											SCREAMING_SNAKE_CASE__		: Tuple     =     encoder_layerdrop
											SCREAMING_SNAKE_CASE__		: Optional[int]     =     decoder_layerdrop
											SCREAMING_SNAKE_CASE__		: List[Any]     =     use_cache
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     encoder_layers
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     scale_embedding  # scale factor will be sqrt(d_model) if True
											SCREAMING_SNAKE_CASE__		: Any     =     router_z_loss_coef
											SCREAMING_SNAKE_CASE__		: int     =     router_aux_loss_coef
											SCREAMING_SNAKE_CASE__		: List[str]     =     decoder_sparse_step
											SCREAMING_SNAKE_CASE__		: Dict     =     encoder_sparse_step
											SCREAMING_SNAKE_CASE__		: List[Any]     =     num_experts
											SCREAMING_SNAKE_CASE__		: Optional[Any]     =     expert_capacity
											SCREAMING_SNAKE_CASE__		: List[str]     =     router_bias
											if router_dtype not in ["float32", "float16", "bfloat16"]:
																		raise ValueError(F'''`router_dtype` must be one of \'float32\', \'float16\' or \'bfloat16\', got {router_dtype}'''					)
											SCREAMING_SNAKE_CASE__		: List[Any]     =     router_dtype

											SCREAMING_SNAKE_CASE__		: Dict     =     router_ignore_padding_tokens
											SCREAMING_SNAKE_CASE__		: str     =     batch_prioritized_routing
											SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     second_expert_policy
											SCREAMING_SNAKE_CASE__		: Tuple     =     normalize_router_prob_before_dropping
											SCREAMING_SNAKE_CASE__		: List[Any]     =     moe_eval_capacity_token_fraction
											SCREAMING_SNAKE_CASE__		: int     =     moe_token_dropout
											SCREAMING_SNAKE_CASE__		: Dict     =     output_router_logits
											super().__init__(
											    pad_token_id=SCREAMING_SNAKE_CASE__     , bos_token_id=SCREAMING_SNAKE_CASE__     , eos_token_id=SCREAMING_SNAKE_CASE__     , is_encoder_decoder=SCREAMING_SNAKE_CASE__     , decoder_start_token_id=SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__     , )






"""simple docstring"""




import math
import os
import sys

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     """"""
							try:
														with open(_snake_case     ,"""rb"""		) as binary_file:
																					SCREAMING_SNAKE_CASE__		: str     =     binary_file.read()
														for dat in data:
																					SCREAMING_SNAKE_CASE__		: int     =     f'''{dat:08b}'''
																					result += curr_byte
														return result
							except OSError:
														print("""File not accessible"""		)
														sys.exit()

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case     ,_snake_case		):
							lexicon.pop(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Optional[int]     =     last_match_id

							if math.loga(_snake_case		).is_integer():
														for curr_key in lexicon:
																					SCREAMING_SNAKE_CASE__		: Optional[int]     =     """0""" + lexicon[curr_key]

							SCREAMING_SNAKE_CASE__		: Tuple     =     bin(_snake_case		)[2:]

def lowercase_						(     _snake_case		):
							SCREAMING_SNAKE_CASE__		: List[str]     =     {"""0""": """0""", """1""": """1"""}
							SCREAMING_SNAKE_CASE__   ,   SCREAMING_SNAKE_CASE__		: str     =     """""", """"""
							SCREAMING_SNAKE_CASE__		: int     =     len(_snake_case		)

							for i in range(len(_snake_case		)		):
														curr_string += data_bits[i]
														if curr_string not in lexicon:
																					continue

														SCREAMING_SNAKE_CASE__		: Dict     =     lexicon[curr_string]
														result += last_match_id
														add_key_to_lexicon(_snake_case     ,_snake_case     ,_snake_case     ,_snake_case		)
														index += 1
														SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     """"""

							while curr_string != "" and curr_string not in lexicon:
														curr_string += "0"

							if curr_string != "":
														SCREAMING_SNAKE_CASE__		: Optional[int]     =     lexicon[curr_string]
														result += last_match_id

							return result

def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: str     =     os.path.getsize(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Any     =     bin(_snake_case		)[2:]
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     len(_snake_case		)

							return "0" * (length_length - 1) + file_length_binary + compressed

def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Tuple     =     8
							try:
														with open(_snake_case     ,"""wb"""		) as opened_file:
																					SCREAMING_SNAKE_CASE__		: Optional[int]     =     [
																					    to_write[i : i + byte_length]
																					    for i in range(0     ,len(_snake_case		)     ,_snake_case		)
																					]

																					if len(result_byte_array[-1]		) % byte_length == 0:
																												result_byte_array.append("""10000000"""		)
																					else:
																												result_byte_array[-1] += "1" + "0" * (
																												    byte_length - len(result_byte_array[-1]		) - 1
																												)

																					for elem in result_byte_array:
																												opened_file.write(int(_snake_case     ,2		).to_bytes(1     ,byteorder="""big"""		)		)
							except OSError:
														print("""File not accessible"""		)
														sys.exit()

def lowercase_						(     _snake_case     ,_snake_case		):
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     read_file_binary(_snake_case		)
							SCREAMING_SNAKE_CASE__		: List[str]     =     compress_data(_snake_case		)
							SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     add_file_length(_snake_case     ,_snake_case		)
							write_file_binary(_snake_case     ,_snake_case		)


if __name__ == "__main__":
					compress(sys.argv[1], sys.argv[2])




