
'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


lowercase__											=logging.get_logger(__name__)

lowercase__											={
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}







class   a_ (      lowercase_					):
			lowerCamelCase__	:			Any       =    'roberta-prelayernorm'




			def __init__(       self					,   UpperCAmelCase=5_02_65					,   UpperCAmelCase=7_68					,   UpperCAmelCase=12					,   UpperCAmelCase=12					,   UpperCAmelCase=30_72					,   UpperCAmelCase="gelu"					,   UpperCAmelCase=0.1					,   UpperCAmelCase=0.1					,   UpperCAmelCase=5_12					,   UpperCAmelCase=2					,   UpperCAmelCase=0.02					,   UpperCAmelCase=1e-12					,   UpperCAmelCase=1					,   UpperCAmelCase=0					,   UpperCAmelCase=2					,   UpperCAmelCase="absolute"					,   UpperCAmelCase=True					,   UpperCAmelCase=None					,   **UpperCAmelCase					,   ):
				super().__init__(pad_token_id=_lowercase					,   bos_token_id=_lowercase					,   eos_token_id=_lowercase					,   **_lowercase	)

				a_      				=						vocab_size
				a_      				=						hidden_size
				a_      				=						num_hidden_layers
				a_      				=						num_attention_heads
				a_      				=						hidden_act
				a_      				=						intermediate_size
				a_      				=						hidden_dropout_prob
				a_      				=						attention_probs_dropout_prob
				a_      				=						max_position_embeddings
				a_      				=						type_vocab_size
				a_      				=						initializer_range
				a_      				=						layer_norm_eps
				a_      				=						position_embedding_type
				a_      				=						use_cache
				a_      				=						classifier_dropout







class   a_ (      lowercase_					):




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



'''simple docstring'''

SCREAMING_SNAKE_CASE							:				Union[str, Any]     	=			0  # The first color of the flag.
SCREAMING_SNAKE_CASE							:				List[str]     	=			1  # The second color of the flag.
SCREAMING_SNAKE_CASE							:				Optional[Any]     	=			2  # The third color of the flag.
SCREAMING_SNAKE_CASE							:				Tuple     	=			(red, white, blue)




def 							_UpperCamelCase				(   lowerCAmelCase__:					list   )      -> list:
							if not sequence:
														return []
							if len(lowerCAmelCase__   ) == 1:
														return list(lowerCAmelCase__   )
							SCREAMING_SNAKE_CASE_				=				0
							SCREAMING_SNAKE_CASE_				=				len(lowerCAmelCase__   ) - 1
							SCREAMING_SNAKE_CASE_				=				0
							while mid <= high:
														if sequence[mid] == colors[0]:
																					SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				sequence[mid], sequence[low]
																					low += 1
																					mid += 1
														elif sequence[mid] == colors[1]:
																					mid += 1
														elif sequence[mid] == colors[2]:
																					SCREAMING_SNAKE_CASE_				,    SCREAMING_SNAKE_CASE_				=				sequence[high], sequence[mid]
																					high -= 1
														else:
																					SCREAMING_SNAKE_CASE_				=				F"""The elements inside the sequence must contains only {colors} values"""
																					raise ValueError(lowerCAmelCase__   )
							return sequence


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							SCREAMING_SNAKE_CASE							:				str     	=			input("Enter numbers separated by commas:\n").strip()
							SCREAMING_SNAKE_CASE							:				List[Any]     	=			[int(item.strip()) for item in user_input.split(",")]
							print(f"{dutch_national_flag_sort(unsorted)}")





