





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 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''mvp'''
					lowerCAmelCase_							=	['''past_key_values''']
					lowerCAmelCase_							=	{'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}




					def __init__(		self				,						lowerCAmelCase_=5_0267				,						lowerCAmelCase_=1024				,						lowerCAmelCase_=12				,						lowerCAmelCase_=4096				,						lowerCAmelCase_=16				,						lowerCAmelCase_=12				,						lowerCAmelCase_=4096				,						lowerCAmelCase_=16				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_="gelu"				,						lowerCAmelCase_=1024				,						lowerCAmelCase_=0.1				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.02				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=False				,						lowerCAmelCase_=True				,						lowerCAmelCase_=1				,						lowerCAmelCase_=0				,						lowerCAmelCase_=2				,						lowerCAmelCase_=True				,						lowerCAmelCase_=2				,						lowerCAmelCase_=2				,						lowerCAmelCase_=False				,						lowerCAmelCase_=100				,						lowerCAmelCase_=800				,						**lowerCAmelCase_				,						)		->							int:
										_snake_case									=				vocab_size
										_snake_case									=				max_position_embeddings
										_snake_case									=				d_model
										_snake_case									=				encoder_ffn_dim
										_snake_case									=				encoder_layers
										_snake_case									=				encoder_attention_heads
										_snake_case									=				decoder_ffn_dim
										_snake_case									=				decoder_layers
										_snake_case									=				decoder_attention_heads
										_snake_case									=				dropout
										_snake_case									=				attention_dropout
										_snake_case									=				activation_dropout
										_snake_case									=				activation_function
										_snake_case									=				init_std
										_snake_case									=				encoder_layerdrop
										_snake_case									=				decoder_layerdrop
										_snake_case									=				classifier_dropout
										_snake_case									=				use_cache
										_snake_case									=				encoder_layers
										_snake_case									=				scale_embedding  # scale factor will be sqrt(d_model) if True
										_snake_case									=				use_prompt
										_snake_case									=				prompt_length
										_snake_case									=				prompt_mid_dim

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

										if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'				,						lowerCAmelCase_  ):
															_snake_case									=				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 						lowerCamelCase__     (     UpperCamelCase__			:       List[Any]       ,    UpperCamelCase__			:       Dict       ,    UpperCamelCase__			:       str       ,    UpperCamelCase__			:       int       ,    UpperCamelCase__			:       List[str]       ,    UpperCamelCase__			:       str						)			-> List[Any]:



					'''simple docstring'''




					if index == r:
										for j in range(UpperCamelCase__						):
															print(data[j]       ,    end=' '						)
										print(' '						)
										return
					#  When no more elements are there to put in data[]
					if i >= n:
										return
					# current is included, put next at next location
					_snake_case									=				arr[i]
					combination_util(UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    index + 1       ,    UpperCamelCase__       ,    i + 1						)
					# current is excluded, replace it with
					# next (Note that i+1 is passed, but
					# index is not changed)
					combination_util(UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    i + 1						)
					# The main function that prints all combinations
					# of size r in arr[] of size n. This function
					# mainly uses combinationUtil()





def 						lowerCamelCase__     (     UpperCamelCase__			:       Optional[int]       ,    UpperCamelCase__			:       Tuple       ,    UpperCamelCase__			:       List[str]						)			-> Tuple:



					'''simple docstring'''




					_snake_case									=				[0] * r
					# Print all combination using temporary array 'data[]'
					combination_util(UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    0       ,    UpperCamelCase__       ,    0						)


if __name__ == "__main__":
					# Driver code to check the function above
					UpperCAmelCase_      							=     [10, 20, 30, 40, 50]
					print_combination(arr, len(arr), 3)
					# This code is contributed by Ambuj sahu



