





import warnings

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


_UpperCAmelCase				:       Union[str, Any]	   =				logging.get_logger(__name__)

_UpperCAmelCase				:       Any	   =				{
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}

class    lowerCAmelCase							(					__SCREAMING_SNAKE_CASE			):
 UpperCAmelCase__													=		"""mvp"""
 UpperCAmelCase__													=		["""past_key_values"""]
 UpperCAmelCase__													=		{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}
 def __init__(      self  :      str			,     UpperCAmelCase  :      Optional[Any]=50267			,     UpperCAmelCase  :      int=1024			,     UpperCAmelCase  :      List[Any]=12			,     UpperCAmelCase  :      Any=4096			,     UpperCAmelCase  :      Dict=16			,     UpperCAmelCase  :      Any=12			,     UpperCAmelCase  :      Optional[int]=4096			,     UpperCAmelCase  :      Optional[int]=16			,     UpperCAmelCase  :      List[Any]=0.0			,     UpperCAmelCase  :      List[Any]=0.0			,     UpperCAmelCase  :      Optional[Any]="gelu"			,     UpperCAmelCase  :      int=1024			,     UpperCAmelCase  :      int=0.1			,     UpperCAmelCase  :      Tuple=0.0			,     UpperCAmelCase  :      Optional[Any]=0.0			,     UpperCAmelCase  :      Optional[Any]=0.0_2			,     UpperCAmelCase  :      str=0.0			,     UpperCAmelCase  :      Any=False			,     UpperCAmelCase  :      Optional[Any]=True			,     UpperCAmelCase  :      str=1			,     UpperCAmelCase  :      Optional[Any]=0			,     UpperCAmelCase  :      Optional[Any]=2			,     UpperCAmelCase  :      List[Any]=True			,     UpperCAmelCase  :      int=2			,     UpperCAmelCase  :      str=2			,     UpperCAmelCase  :      List[Any]=False			,     UpperCAmelCase  :      str=100			,     UpperCAmelCase  :      Any=800			,     **UpperCAmelCase  :      str			,     )			->	Any:
     lowerCamelCase__    :      Any					 =		vocab_size
     lowerCamelCase__    :      Union[str, Any]					 =		max_position_embeddings
     lowerCamelCase__    :      Union[str, Any]					 =		d_model
     lowerCamelCase__    :      List[Any]					 =		encoder_ffn_dim
     lowerCamelCase__    :      List[Any]					 =		encoder_layers
     lowerCamelCase__    :      int					 =		encoder_attention_heads
     lowerCamelCase__    :      Union[str, Any]					 =		decoder_ffn_dim
     lowerCamelCase__    :      List[Any]					 =		decoder_layers
     lowerCamelCase__    :      Tuple					 =		decoder_attention_heads
     lowerCamelCase__    :      Any					 =		dropout
     lowerCamelCase__    :      Optional[int]					 =		attention_dropout
     lowerCamelCase__    :      Any					 =		activation_dropout
     lowerCamelCase__    :      str					 =		activation_function
     lowerCamelCase__    :      Union[str, Any]					 =		init_std
     lowerCamelCase__    :      int					 =		encoder_layerdrop
     lowerCamelCase__    :      Optional[Any]					 =		decoder_layerdrop
     lowerCamelCase__    :      List[Any]					 =		classifier_dropout
     lowerCamelCase__    :      Optional[int]					 =		use_cache
     lowerCamelCase__    :      Tuple					 =		encoder_layers
     lowerCamelCase__    :      int					 =		scale_embedding  # scale factor will be sqrt(d_model) if True
     lowerCamelCase__    :      List[Any]					 =		use_prompt
     lowerCamelCase__    :      Union[str, Any]					 =		prompt_length
     lowerCamelCase__    :      Tuple					 =		prompt_mid_dim

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

     if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'			,     UpperCAmelCase	):
         lowerCamelCase__    :      Union[str, Any]					 =		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.'	)







SCREAMING_SNAKE_CASE							:Any							 =				256
# Modulus to hash a string
SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				100_0003


def 						UpperCAmelCase			(	a_		,   a_						)		->	bool:







				"""simple docstring"""



				__A   			= len(a_						)
				__A   			= len(a_						)
				if p_len > t_len:
								return False

				__A   			= 0
				__A   			= 0
				__A   			= 1

				# Calculating the hash of pattern and substring of text
				for i in range(a_						):
								__A   			= (ord(pattern[i]						) + p_hash * alphabet_size) % modulus
								__A   			= (ord(text[i]						) + text_hash * alphabet_size) % modulus
								if i == p_len - 1:
												continue
								__A   			= (modulus_power * alphabet_size) % modulus

				for i in range(0		,   t_len - p_len + 1						):
								if text_hash == p_hash and text[i : i + p_len] == pattern:
												return True
								if i == t_len - p_len:
												continue
								# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
								__A   			= (
								    (text_hash - ord(text[i]						) * modulus_power) * alphabet_size
								    + ord(text[i + p_len]						)
								) % modulus
				return False


def 						UpperCAmelCase			(	)		->	None:







				"""simple docstring"""



				__A   			= "abc1abc12"
				__A   			= "alskfjaldsabc1abc1abc12k23adsfabcabc"
				__A   			= "alskfjaldsk23adsfabcabc"
				assert rabin_karp(a_		,   a_						) and not rabin_karp(a_		,   a_						)

				# Test 2)
				__A   			= "ABABX"
				__A   			= "ABABZABABYABABX"
				assert rabin_karp(a_		,   a_						)

				# Test 3)
				__A   			= "AAAB"
				__A   			= "ABAAAAAB"
				assert rabin_karp(a_		,   a_						)

				# Test 4)
				__A   			= "abcdabcy"
				__A   			= "abcxabcdabxabcdabcdabcy"
				assert rabin_karp(a_		,   a_						)

				# Test 5)
				__A   			= "Lü"
				__A   			= "Lüsai"
				assert rabin_karp(a_		,   a_						)
				__A   			= "Lue"
				assert not rabin_karp(a_		,   a_						)
				print("Success."						)


if __name__ == "__main__":
					test_rabin_karp()
