


"""simple docstring"""






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


lowercase  		=			logging.get_logger(__name__)

lowercase  		=			{
    """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 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     Optional[int]				  =  '''opt'''
							__magic_name__					:     str				  =  ['''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__	,					)   ->	Tuple:







								'''simple docstring'''




								super().__init__(
								    pad_token_id=lowerCamelCase__	,					bos_token_id=lowerCamelCase__	,					eos_token_id=lowerCamelCase__	,					**lowerCamelCase__	,					)
								snake_case__  :						Any		=      vocab_size
								snake_case__  :						Optional[Any]		=      max_position_embeddings
								snake_case__  :						Dict		=      num_attention_heads
								snake_case__  :						List[Any]		=      word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
								snake_case__  :						Any		=      ffn_dim
								snake_case__  :						List[Any]		=      hidden_size
								snake_case__  :						Union[str, Any]		=      num_hidden_layers
								snake_case__  :						Optional[Any]		=      dropout
								snake_case__  :						Optional[int]		=      attention_dropout
								snake_case__  :						Union[str, Any]		=      activation_function
								snake_case__  :						int		=      init_std
								snake_case__  :						Any		=      layerdrop
								snake_case__  :						Dict		=      use_cache
								snake_case__  :						int		=      do_layer_norm_before
								# We keep these variables at `True` for backward compatibility.
								snake_case__  :						Optional[Any]		=      enable_bias
								snake_case__  :						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
								snake_case__  :						Union[str, Any]		=      _remove_final_layer_norm









"""simple docstring"""






import math



def 			A__		(					_UpperCAmelCase    :      int	)							->	bool:

	'''simple docstring'''


	if 1 < number < 4:
		# 2 and 3 are primes
		return True
	elif number < 2 or number % 2 == 0 or number % 3 == 0:
		# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
		return False

	# All primes number are in format of 6k +/- 1
	for i in range(5				,    int(math.sqrt(_UpperCAmelCase	) + 1	)				,    6	):
		if number % i == 0 or number % (i + 2) == 0:
			return False
	return True



def 			A__		(					_UpperCAmelCase    :      int = 60_08_51_47_51_43	)							->	int:

	'''simple docstring'''


	try:
		snake_case__  :						List[Any]		=      int(_UpperCAmelCase	)
	except (TypeError, ValueError):
		raise TypeError("Parameter n must be int or castable to int."	)
	if n <= 0:
		raise ValueError("Parameter n must be greater than or equal to one."	)
	snake_case__  :						int		=      0
	if is_prime(_UpperCAmelCase	):
		return n
	while n % 2 == 0:
		n //= 2
	if is_prime(_UpperCAmelCase	):
		return n
	for i in range(3				,    int(math.sqrt(_UpperCAmelCase	)	) + 1				,    2	):
		if n % i == 0:
			if is_prime(n // i	):
				snake_case__  :						int		=      n // i
				break
			elif is_prime(_UpperCAmelCase	):
				snake_case__  :						List[Any]		=      i
	return max_number


if __name__ == "__main__":
					print(f"{solution() = }")





