




import warnings

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


UpperCamelCase__         =      logging.get_logger(__name__)

UpperCamelCase__         =      {
    """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json""",
}
class       a__   ( snake_case__				):
						_a							:   Optional[Any] =   """mvp"""
						_a							:   Dict =   ["""past_key_values"""]
						_a							:   str =   {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}






						def __init__(       self		,      _A=5_0_2_6_7		,      _A=1_0_2_4		,      _A=1_2		,      _A=4_0_9_6		,      _A=1_6		,      _A=1_2		,      _A=4_0_9_6		,      _A=1_6		,      _A=0.0		,      _A=0.0		,      _A="gelu"		,      _A=1_0_2_4		,      _A=0.1		,      _A=0.0		,      _A=0.0		,      _A=0.02		,      _A=0.0		,      _A=False		,      _A=True		,      _A=1		,      _A=0		,      _A=2		,      _A=True		,      _A=2		,      _A=2		,      _A=False		,      _A=1_0_0		,      _A=8_0_0		,      **_A		,      ):




											"""simple docstring"""



											__lowerCAmelCase           =	vocab_size
											__lowerCAmelCase           =	max_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           =	scale_embedding  # scale factor will be sqrt(d_model) if True
											__lowerCAmelCase           =	use_prompt
											__lowerCAmelCase           =	prompt_length
											__lowerCAmelCase           =	prompt_mid_dim

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

											if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"		,      _A      ):
																__lowerCAmelCase           =	self.bos_token_id
																warnings.warn(
																    f"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
																    "The config can simply be saved and uploaded again to be fixed."      )










def      _a				(						SCREAMING_SNAKE_CASE_							:    List[Any]					):
					__lowerCAmelCase       ,							__lowerCAmelCase           =	[], []
					while len(SCREAMING_SNAKE_CASE_					) > 1:
										__lowerCAmelCase       ,							__lowerCAmelCase           =	min(SCREAMING_SNAKE_CASE_					), max(SCREAMING_SNAKE_CASE_					)
										start.append(SCREAMING_SNAKE_CASE_					)
										end.append(SCREAMING_SNAKE_CASE_					)
										collection.remove(SCREAMING_SNAKE_CASE_					)
										collection.remove(SCREAMING_SNAKE_CASE_					)
					end.reverse()
					return start + collection + end


if __name__ == "__main__":
					UpperCamelCase__         =      input("""Enter numbers separated by a comma:\n""").strip()
					UpperCamelCase__         =      [int(item) for item in user_input.split(""",""")]
					print(*merge_sort(unsorted), sep=""",""")




