






"""simple docstring"""


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


__SCREAMING_SNAKE_CASE      =      logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE      =      {
    '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 	__UpperCamelCase    (    UpperCamelCase	):
					lowercase_						:							Tuple			=     """opt"""
					lowercase_						:							List[str]			=     ["""past_key_values"""]
					def __init__(       self       :  int    ,   UpperCAmelCase       :  int=5_0272    ,   UpperCAmelCase       :  Tuple=768    ,   UpperCAmelCase       :  str=12    ,   UpperCAmelCase       :  List[str]=3072    ,   UpperCAmelCase       :  Union[str, Any]=2048    ,   UpperCAmelCase       :  str=True    ,   UpperCAmelCase       :  Optional[Any]=False    ,   UpperCAmelCase       :  Tuple=None    ,   UpperCAmelCase       :  Optional[int]=0.1    ,   UpperCAmelCase       :  Optional[Any]=0.0    ,   UpperCAmelCase       :  Optional[int]=12    ,   UpperCAmelCase       :  Optional[Any]="relu"    ,   UpperCAmelCase       :  Any=0.0    ,   UpperCAmelCase       :  Optional[int]=0.0_2    ,   UpperCAmelCase       :  Optional[int]=True    ,   UpperCAmelCase       :  Tuple=1    ,   UpperCAmelCase       :  Any=2    ,   UpperCAmelCase       :  Optional[Any]=2    ,   UpperCAmelCase       :  Union[str, Any]=True    ,   UpperCAmelCase       :  Any=True    ,   **UpperCAmelCase       :  Union[str, Any]    ,   )  ->					int:
											super().__init__(
											    pad_token_id=UpperCAmelCase    ,   bos_token_id=UpperCAmelCase    ,   eos_token_id=UpperCAmelCase    ,   **UpperCAmelCase    ,   )
											lowerCAmelCase      :int				  = vocab_size
											lowerCAmelCase      :Optional[int]				  = max_position_embeddings
											lowerCAmelCase      :Dict				  = num_attention_heads
											lowerCAmelCase      :Union[str, Any]				  = word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
											lowerCAmelCase      :Any				  = ffn_dim
											lowerCAmelCase      :Any				  = hidden_size
											lowerCAmelCase      :Optional[int]				  = num_hidden_layers
											lowerCAmelCase      :str				  = dropout
											lowerCAmelCase      :Union[str, Any]				  = attention_dropout
											lowerCAmelCase      :List[Any]				  = activation_function
											lowerCAmelCase      :Optional[Any]				  = init_std
											lowerCAmelCase      :Union[str, Any]				  = layerdrop
											lowerCAmelCase      :Optional[int]				  = use_cache
											lowerCAmelCase      :int				  = do_layer_norm_before
											# We keep these variables at `True` for backward compatibility.
											lowerCAmelCase      :List[str]				  = enable_bias
											lowerCAmelCase      :Dict				  = 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
											lowerCAmelCase      :int				  = _remove_final_layer_norm







"""simple docstring"""


from __future__ import annotations


def 					UpperCAmelCase			(				a__   ):





						'''simple docstring'''






						lowerCAmelCase      :Union[str, Any]				  = [0] * len(a__   )
						for i in range(1    ,			len(a__   )   ):
												lowerCAmelCase      :Optional[int]				  = duration_times[i - 1] + waiting_times[i - 1]
						return waiting_times


def 					UpperCAmelCase			(				a__    ,			a__   ):





						'''simple docstring'''






						return [
						    duration_time + waiting_times[i]
						    for i, duration_time in enumerate(a__   )
						]


def 					UpperCAmelCase			(				a__   ):





						'''simple docstring'''






						return sum(a__   ) / len(a__   )


def 					UpperCAmelCase			(				a__   ):





						'''simple docstring'''






						return sum(a__   ) / len(a__   )


if __name__ == "__main__":
		# process id's
		__SCREAMING_SNAKE_CASE      =      [1, 2, 3]

		# ensure that we actually have processes
		if len(processes) == 0:
				print('Zero amount of processes')
				raise SystemExit(0)

		# duration time of all processes
		__SCREAMING_SNAKE_CASE      =      [19, 8, 9]

		# ensure we can match each id to a duration time
		if len(duration_times) != len(processes):
				print('Unable to match all id\'s with their duration time')
				raise SystemExit(0)

		# get the waiting times and the turnaround times
		__SCREAMING_SNAKE_CASE      =      calculate_waiting_times(duration_times)
		__SCREAMING_SNAKE_CASE      =      calculate_turnaround_times(duration_times, waiting_times)

		# get the average times
		__SCREAMING_SNAKE_CASE      =      calculate_average_waiting_time(waiting_times)
		__SCREAMING_SNAKE_CASE      =      calculate_average_turnaround_time(turnaround_times)

		# print all the results
		print('Process ID\tDuration Time\tWaiting Time\tTurnaround Time')
		for i, process in enumerate(processes):
				print(
				    F"""{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t"""
				    F"""{turnaround_times[i]}"""
				)
		print(F"""Average waiting time = {average_waiting_time}""")
		print(F"""Average turn around time = {average_turnaround_time}""")