

"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCamelCase						:   Dict							   =	logging.get_logger(__name__)

__UpperCamelCase						:   Optional[Any]							   =	{
    '''flaubert/flaubert_small_cased''': '''https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json''',
    '''flaubert/flaubert_base_uncased''': '''https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json''',
    '''flaubert/flaubert_base_cased''': '''https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json''',
    '''flaubert/flaubert_large_cased''': '''https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json''',
}







class        SCREAMING_SNAKE_CASE      (	a_ ):






					"""simple docstring"""



					lowercase__       				= "flaubert"
					lowercase__       				= {
					    "hidden_size": "emb_dim",
					    "num_attention_heads": "n_heads",
					    "num_hidden_layers": "n_layers",
					    "n_words": "vocab_size",  # For backward compatibility
					}







					def __init__( self    :       Optional[int]     ,lowercase_    :       Any=False     ,lowercase_    :       Optional[Any]=0.0     ,lowercase_    :       Union[str, Any]=3_0_1_4_5     ,lowercase_    :       List[Any]=2_0_4_8     ,lowercase_    :       int=1_2     ,lowercase_    :       int=1_6     ,lowercase_    :       Union[str, Any]=0.1     ,lowercase_    :       int=0.1     ,lowercase_    :       Dict=True     ,lowercase_    :       Any=False     ,lowercase_    :       str=False     ,lowercase_    :       List[Any]=False     ,lowercase_    :       Union[str, Any]=1     ,lowercase_    :       Tuple=True     ,lowercase_    :       Optional[Any]=5_1_2     ,lowercase_    :       str=2_0_4_8**-0.5     ,lowercase_    :       Optional[Any]=1E-12     ,lowercase_    :       Optional[int]=0.02     ,lowercase_    :       Union[str, Any]=0     ,lowercase_    :       List[Any]=1     ,lowercase_    :       List[Any]=2     ,lowercase_    :       Union[str, Any]=3     ,lowercase_    :       List[str]=5     ,lowercase_    :       Optional[Any]=True     ,lowercase_    :       Tuple="first"     ,lowercase_    :       Optional[Any]=True     ,lowercase_    :       Dict=None     ,lowercase_    :       List[Any]=True     ,lowercase_    :       str=0.1     ,lowercase_    :       List[str]=5     ,lowercase_    :       List[str]=5     ,lowercase_    :       Optional[int]=0     ,lowercase_    :       Tuple=0     ,lowercase_    :       Optional[int]=2     ,lowercase_    :       Tuple=0     ,**lowercase_    :       List[Any]     ,):
						lowerCAmelCase__			:		Any						       =			pre_norm
						lowerCAmelCase__			:		Union[str, Any]						       =			layerdrop
						lowerCAmelCase__			:		Optional[int]						       =			vocab_size
						lowerCAmelCase__			:		List[str]						       =			emb_dim
						lowerCAmelCase__			:		Optional[Any]						       =			n_layers
						lowerCAmelCase__			:		List[Any]						       =			n_heads
						lowerCAmelCase__			:		Optional[int]						       =			dropout
						lowerCAmelCase__			:		Dict						       =			attention_dropout
						lowerCAmelCase__			:		Any						       =			gelu_activation
						lowerCAmelCase__			:		Optional[Any]						       =			sinusoidal_embeddings
						lowerCAmelCase__			:		List[Any]						       =			causal
						lowerCAmelCase__			:		Tuple						       =			asm
						lowerCAmelCase__			:		Optional[Any]						       =			n_langs
						lowerCAmelCase__			:		Union[str, Any]						       =			use_lang_emb
						lowerCAmelCase__			:		Optional[int]						       =			layer_norm_eps
						lowerCAmelCase__			:		Dict						       =			bos_index
						lowerCAmelCase__			:		Tuple						       =			eos_index
						lowerCAmelCase__			:		Tuple						       =			pad_index
						lowerCAmelCase__			:		Optional[int]						       =			unk_index
						lowerCAmelCase__			:		Any						       =			mask_index
						lowerCAmelCase__			:		Dict						       =			is_encoder
						lowerCAmelCase__			:		Dict						       =			max_position_embeddings
						lowerCAmelCase__			:		Tuple						       =			embed_init_std
						lowerCAmelCase__			:		Tuple						       =			init_std
						lowerCAmelCase__			:		Any						       =			summary_type
						lowerCAmelCase__			:		int						       =			summary_use_proj
						lowerCAmelCase__			:		Union[str, Any]						       =			summary_activation
						lowerCAmelCase__			:		Any						       =			summary_proj_to_labels
						lowerCAmelCase__			:		Any						       =			summary_first_dropout
						lowerCAmelCase__			:		List[Any]						       =			start_n_top
						lowerCAmelCase__			:		Any						       =			end_n_top
						lowerCAmelCase__			:		str						       =			mask_token_id
						lowerCAmelCase__			:		List[Any]						       =			lang_id

						if "n_words" in kwargs:
							lowerCAmelCase__			:		List[Any]						       =			kwargs['''n_words''']

						super().__init__(pad_token_id=lowercase_     ,bos_token_id=lowercase_     ,**lowercase_	)







class        SCREAMING_SNAKE_CASE      (	a_ ):






					"""simple docstring"""



					@property
					def  __lowerCAmelCase				( self    :       int	):
						if self.task == "multiple-choice":
							lowerCAmelCase__			:		Dict						       =			{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
						else:
							lowerCAmelCase__			:		int						       =			{0: '''batch''', 1: '''sequence'''}
						return OrderedDict(
						    [
						        ('''input_ids''', dynamic_axis),
						        ('''attention_mask''', dynamic_axis),
						    ]	)







"""simple docstring"""





from itertools import permutations

def 						__SCREAMING_SNAKE_CASE						(   A_ = 5				):
	if gon_side < 3 or gon_side > 5:
		raise ValueError('''gon_side must be in the range [3, 5]'''				)

	# Since it's 16, we know 10 is on the outer ring
	# Put the big numbers at the end so that they are never the first number
	lowerCAmelCase__			:		str						       =			list(range(gon_side + 1		,  0		,  -1				)				)
	lowerCAmelCase__			:		int						       =			list(range(gon_side + 2		,  gon_side * 2 + 1				)				)

	for perm in permutations(small_numbers + big_numbers				):
		lowerCAmelCase__			:		Optional[Any]						       =			generate_gon_ring(A_		,  list(A_				)				)
		if is_magic_gon(A_				):
			return int(''''''.join(str(A_				) for n in numbers				)				)

	lowerCAmelCase__			:		Tuple						       =			f'Magic {gon_side}-gon ring is impossible'
	raise ValueError(A_				)

def 						__SCREAMING_SNAKE_CASE						(   A_		,  A_				):
	lowerCAmelCase__			:		Dict						       =			[0] * (gon_side * 3)
	lowerCAmelCase__			:		Optional[int]						       =			perm[0:3]
	perm.append(perm[1]				)

	lowerCAmelCase__			:		int						       =			1 if gon_side < 5 else 2

	for i in range(1		,  len(A_				) // 3 + magic_number				):
		lowerCAmelCase__			:		List[str]						       =			perm[2 * i + 1]
		lowerCAmelCase__			:		Optional[int]						       =			result[3 * i - 1]
		lowerCAmelCase__			:		List[Any]						       =			perm[2 * i + 2]

	return result

def 						__SCREAMING_SNAKE_CASE						(   A_				):
	if len(A_				) % 3 != 0:
		raise ValueError('''a gon ring should have a length that is a multiple of 3'''				)

	if min(numbers[::3]				) != numbers[0]:
		return False

	lowerCAmelCase__			:		int						       =			sum(numbers[:3]				)

	return all(sum(numbers[i : i + 3]				) == total for i in range(3		,  len(A_				)		,  3				)				)


if __name__ == "__main__":
							print(solution())




