
"""simple docstring"""


from typing import List, Union

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


__A					=			logging.get_logger(__name__)

__A					=			{
    'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/config.json',
    # See all LED models at https://huggingface.co/models?filter=led
}







class 						lowerCamelCase__   (   __magic_name__							):





			'''simple docstring'''
			lowerCamelCase       =						'''led'''
			lowerCamelCase       =						{
			    '''num_attention_heads''': '''encoder_attention_heads''',
			    '''hidden_size''': '''d_model''',
			    '''attention_probs_dropout_prob''': '''attention_dropout''',
			    '''initializer_range''': '''init_std''',
			}



			def __init__(				self	,	__UpperCAmelCase=5_02_65	,	__UpperCAmelCase=1_63_84	,	__UpperCAmelCase=10_24	,	__UpperCAmelCase=12	,	__UpperCAmelCase=40_96	,	__UpperCAmelCase=16	,	__UpperCAmelCase=12	,	__UpperCAmelCase=40_96	,	__UpperCAmelCase=16	,	__UpperCAmelCase=0.0	,	__UpperCAmelCase=0.0	,	__UpperCAmelCase=True	,	__UpperCAmelCase=True	,	__UpperCAmelCase="gelu"	,	__UpperCAmelCase=10_24	,	__UpperCAmelCase=0.1	,	__UpperCAmelCase=0.0	,	__UpperCAmelCase=0.0	,	__UpperCAmelCase=0.0_2	,	__UpperCAmelCase=2	,	__UpperCAmelCase=0.0	,	__UpperCAmelCase=1	,	__UpperCAmelCase=0	,	__UpperCAmelCase=2	,	__UpperCAmelCase = 5_12	,	**__UpperCAmelCase	,	)					->	List[str]:
				_lowerCAmelCase								=vocab_size
				_lowerCAmelCase								=max_encoder_position_embeddings
				_lowerCAmelCase								=max_decoder_position_embeddings
				_lowerCAmelCase								=d_model
				_lowerCAmelCase								=encoder_ffn_dim
				_lowerCAmelCase								=encoder_layers
				_lowerCAmelCase								=encoder_attention_heads
				_lowerCAmelCase								=decoder_ffn_dim
				_lowerCAmelCase								=decoder_layers
				_lowerCAmelCase								=decoder_attention_heads
				_lowerCAmelCase								=dropout
				_lowerCAmelCase								=attention_dropout
				_lowerCAmelCase								=activation_dropout
				_lowerCAmelCase								=activation_function
				_lowerCAmelCase								=init_std
				_lowerCAmelCase								=encoder_layerdrop
				_lowerCAmelCase								=decoder_layerdrop
				_lowerCAmelCase								=classifier_dropout
				_lowerCAmelCase								=use_cache
				_lowerCAmelCase								=encoder_layers
				_lowerCAmelCase								=attention_window

				super().__init__(
				    pad_token_id=__UpperCAmelCase	,	bos_token_id=__UpperCAmelCase	,	eos_token_id=__UpperCAmelCase	,	is_encoder_decoder=__UpperCAmelCase	,	decoder_start_token_id=__UpperCAmelCase	,	**__UpperCAmelCase	,	)





"""simple docstring"""


import math



def        _lowerCamelCase(__UpperCamelCase			)							->					bool:

	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        _lowerCamelCase(__UpperCamelCase = 600851475143			)							->					int:

	try:
		_lowerCAmelCase								=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."""			)
	_lowerCAmelCase								=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			):
				_lowerCAmelCase								=n // i
				break
			elif is_prime(__UpperCamelCase			):
				_lowerCAmelCase								=i
	return max_number


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



