
'''simple docstring'''



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


__A       =      logging.get_logger(__name__)

__A       =      {
    "facebook/opt-125m": "https://huggingface.co/facebook/opt-125m/blob/main/config.json",
    "facebook/opt-350m": "https://huggingface.co/facebook/opt-350m/blob/main/config.json",
    "facebook/opt-1.3b": "https://huggingface.co/facebook/opt-1.3b/blob/main/config.json",
    "facebook/opt-2.7b": "https://huggingface.co/facebook/opt-2.7b/blob/main/config.json",
    "facebook/opt-6.7b": "https://huggingface.co/facebook/opt-6.7b/blob/main/config.json",
    "facebook/opt-13b": "https://huggingface.co/facebook/opt-13b/blob/main/config.json",
}





class      A							(    lowerCAmelCase__			):
			lowerCamelCase							:							Tuple    						=					'''opt'''
			lowerCamelCase							:							Tuple    						=					['''past_key_values''']



			def __init__(   self    ,       lowerCamelCase__=50_272    ,       lowerCamelCase__=768    ,       lowerCamelCase__=12    ,       lowerCamelCase__=3_072    ,       lowerCamelCase__=2_048    ,       lowerCamelCase__=True    ,       lowerCamelCase__=False    ,       lowerCamelCase__=None    ,       lowerCamelCase__=0.1    ,       lowerCamelCase__=0.0    ,       lowerCamelCase__=12    ,       lowerCamelCase__="relu"    ,       lowerCamelCase__=0.0    ,       lowerCamelCase__=0.02    ,       lowerCamelCase__=True    ,       lowerCamelCase__=1    ,       lowerCamelCase__=2    ,       lowerCamelCase__=2    ,       lowerCamelCase__=True    ,       lowerCamelCase__=True    ,       **lowerCamelCase__    ,       )     ->						Optional[Any]:




									'''simple docstring'''



									super().__init__(
									    pad_token_id=__lowerCAmelCase    ,       bos_token_id=__lowerCAmelCase    ,       eos_token_id=__lowerCAmelCase    ,       **__lowerCAmelCase    ,       )
									lowercase__								=    vocab_size
									lowercase__								=    max_position_embeddings
									lowercase__								=    num_attention_heads
									lowercase__								=    word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
									lowercase__								=    ffn_dim
									lowercase__								=    hidden_size
									lowercase__								=    num_hidden_layers
									lowercase__								=    dropout
									lowercase__								=    attention_dropout
									lowercase__								=    activation_function
									lowercase__								=    init_std
									lowercase__								=    layerdrop
									lowercase__								=    use_cache
									lowercase__								=    do_layer_norm_before
									# We keep these variables at `True` for backward compatibility.
									lowercase__								=    enable_bias
									lowercase__								=    layer_norm_elementwise_affine

									# Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
									# with checkpoints that have been fine-tuned before transformers v4.20.1
									# see https://github.com/facebookresearch/metaseq/pull/164
									lowercase__								=    _remove_final_layer_norm








'''simple docstring'''



def 	_A						(							lowercase__		):
						if not isinstance(lowercase__						,						lowercase__		):
												raise ValueError("""Input series is not valid, valid series - [1, 2/3, 2]"""		)
						if len(lowercase__		) == 0:
												raise ValueError("""Input list must be a non empty list"""		)
						if len(lowercase__		) == 1 and series[0] != 0:
												return True
						lowercase__								=    []
						lowercase__								=    len(lowercase__		)
						for i in range(0						,						lowercase__		):
												if series[i] == 0:
																		raise ValueError("""Input series cannot have 0 as an element"""		)
												rec_series.append(1 / series[i]		)
						lowercase__								=    rec_series[1] - rec_series[0]
						for index in range(2						,						lowercase__		):
												if rec_series[index] - rec_series[index - 1] != common_diff:
																		return False
						return True





def 	_A						(							lowercase__		):
						if not isinstance(lowercase__						,						lowercase__		):
												raise ValueError("""Input series is not valid, valid series - [2, 4, 6]"""		)
						if len(lowercase__		) == 0:
												raise ValueError("""Input list must be a non empty list"""		)
						lowercase__								=    0
						for val in series:
												answer += 1 / val
						return len(lowercase__		) / answer


if __name__ == "__main__":
				import doctest

				doctest.testmod()






