
"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

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


__magic_name__       =			logging.get_logger(__name__)

__magic_name__       =			{
    "facebook/xlm-roberta-xl": "https://huggingface.co/facebook/xlm-roberta-xl/resolve/main/config.json",
    "facebook/xlm-roberta-xxl": "https://huggingface.co/facebook/xlm-roberta-xxl/resolve/main/config.json",
    # See all XLM-RoBERTa-XL models at https://huggingface.co/models?filter=xlm-roberta-xl
}
class 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





		__lowercase							:  Dict						   =		'''xlm-roberta-xl'''




		def __init__(     self							,  lowerCAmelCase__=2_5_0_8_8_0							,  lowerCAmelCase__=2_5_6_0							,  lowerCAmelCase__=3_6							,  lowerCAmelCase__=3_2							,  lowerCAmelCase__=1_0_2_4_0							,  lowerCAmelCase__="gelu"							,  lowerCAmelCase__=0.1							,  lowerCAmelCase__=0.1							,  lowerCAmelCase__=5_1_4							,  lowerCAmelCase__=1							,  lowerCAmelCase__=0.02							,  lowerCAmelCase__=1E-05							,  lowerCAmelCase__=1							,  lowerCAmelCase__=0							,  lowerCAmelCase__=2							,  lowerCAmelCase__="absolute"							,  lowerCAmelCase__=True							,  lowerCAmelCase__=None							,  **lowerCAmelCase__							,  ):
				super().__init__(pad_token_id=lowerCAmelCase__							,  bos_token_id=lowerCAmelCase__							,  eos_token_id=lowerCAmelCase__							,  **lowerCAmelCase__)
				__SCREAMING_SNAKE_CASE            = vocab_size
				__SCREAMING_SNAKE_CASE            = hidden_size
				__SCREAMING_SNAKE_CASE            = num_hidden_layers
				__SCREAMING_SNAKE_CASE            = num_attention_heads
				__SCREAMING_SNAKE_CASE            = hidden_act
				__SCREAMING_SNAKE_CASE            = intermediate_size
				__SCREAMING_SNAKE_CASE            = hidden_dropout_prob
				__SCREAMING_SNAKE_CASE            = attention_probs_dropout_prob
				__SCREAMING_SNAKE_CASE            = max_position_embeddings
				__SCREAMING_SNAKE_CASE            = type_vocab_size
				__SCREAMING_SNAKE_CASE            = initializer_range
				__SCREAMING_SNAKE_CASE            = layer_norm_eps
				__SCREAMING_SNAKE_CASE            = position_embedding_type
				__SCREAMING_SNAKE_CASE            = use_cache
				__SCREAMING_SNAKE_CASE            = classifier_dropout



class 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





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









"""simple docstring"""






from functools import lru_cache






def      snake_case__   (		__lowerCamelCase				:    int	):
			"""simple docstring"""
			lowerCamelCase__		:		Optional[Any]			=2
			lowerCamelCase__		:		Optional[int]			=set()
			while i * i <= n:
						if n % i:
									i += 1
						else:
									n //= i
									factors.add(__lowerCamelCase	)
			if n > 1:
						factors.add(__lowerCamelCase	)
			return factors






@lru_cache
def      snake_case__   (		__lowerCamelCase				:    int	):
			"""simple docstring"""
			return len(unique_prime_factors(__lowerCamelCase	)	)






def      snake_case__   (		__lowerCamelCase				:    list	):
			"""simple docstring"""
			return len(set(__lowerCamelCase	)	) in (0, 1)






def      snake_case__   (		__lowerCamelCase				:    int	):
			"""simple docstring"""
			lowerCamelCase__		:		Tuple			=2

			while True:
						# Increment each value of a generated range
						lowerCamelCase__		:		Tuple			=[base + i for i in range(__lowerCamelCase	)]

						# Run elements through out unique_prime_factors function
						# Append our target number to the end.
						lowerCamelCase__		:		Optional[Any]			=[upf_len(__lowerCamelCase	) for x in group]
						checker.append(__lowerCamelCase	)

						# If all numbers in the list are equal, return the group variable.
						if equality(__lowerCamelCase	):
									return group

						# Increment our base variable by 1
						base += 1






def      snake_case__   (		__lowerCamelCase				:    int = 4	):
			"""simple docstring"""
			lowerCamelCase__		:		List[Any]			=run(__lowerCamelCase	)
			return results[0] if len(__lowerCamelCase	) else None


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




