





import warnings

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


UpperCAmelCase_					:   Dict 							=						logging.get_logger(__name__)

UpperCAmelCase_					:   Union[str, Any] 							=						{
    """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json""",
}





class      lowercase__    (							__A  ):
  __UpperCamelCase	     =  """mvp"""
  __UpperCamelCase	     =  ["""past_key_values"""]
  __UpperCamelCase	     =  {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}







  def __init__(	self    ,						_lowercase=50_267    ,						_lowercase=1_024    ,						_lowercase=12    ,						_lowercase=4_096    ,						_lowercase=16    ,						_lowercase=12    ,						_lowercase=4_096    ,						_lowercase=16    ,						_lowercase=0.0    ,						_lowercase=0.0    ,						_lowercase="gelu"    ,						_lowercase=1_024    ,						_lowercase=0.1    ,						_lowercase=0.0    ,						_lowercase=0.0    ,						_lowercase=0.02    ,						_lowercase=0.0    ,						_lowercase=False    ,						_lowercase=True    ,						_lowercase=1    ,						_lowercase=0    ,						_lowercase=2    ,						_lowercase=True    ,						_lowercase=2    ,						_lowercase=2    ,						_lowercase=False    ,						_lowercase=100    ,						_lowercase=800    ,						**_lowercase    ,						):
       lowerCAmelCase_					:       List[Any]    =		vocab_size
       lowerCAmelCase_					:       str    =		max_position_embeddings
       lowerCAmelCase_					:       Union[str, Any]    =		d_model
       lowerCAmelCase_					:       List[Any]    =		encoder_ffn_dim
       lowerCAmelCase_					:       Tuple    =		encoder_layers
       lowerCAmelCase_					:       Optional[int]    =		encoder_attention_heads
       lowerCAmelCase_					:       str    =		decoder_ffn_dim
       lowerCAmelCase_					:       Union[str, Any]    =		decoder_layers
       lowerCAmelCase_					:       str    =		decoder_attention_heads
       lowerCAmelCase_					:       Optional[Any]    =		dropout
       lowerCAmelCase_					:       int    =		attention_dropout
       lowerCAmelCase_					:       Tuple    =		activation_dropout
       lowerCAmelCase_					:       List[Any]    =		activation_function
       lowerCAmelCase_					:       List[str]    =		init_std
       lowerCAmelCase_					:       int    =		encoder_layerdrop
       lowerCAmelCase_					:       Optional[int]    =		decoder_layerdrop
       lowerCAmelCase_					:       Any    =		classifier_dropout
       lowerCAmelCase_					:       Tuple    =		use_cache
       lowerCAmelCase_					:       int    =		encoder_layers
       lowerCAmelCase_					:       Any    =		scale_embedding  # scale factor will be sqrt(d_model) if True
       lowerCAmelCase_					:       Optional[Any]    =		use_prompt
       lowerCAmelCase_					:       List[str]    =		prompt_length
       lowerCAmelCase_					:       str    =		prompt_mid_dim

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

       if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""    ,						_lowercase						):
            lowerCAmelCase_					:       str    =		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."""						)







from collections.abc import Generator
from math import sin






def 							_lowerCAmelCase (  _a   :					bytes			)	->			bytes:
     if len(_a			) != 32:
          raise ValueError("""Input must be of length 32"""			)

     lowerCAmelCase_					:       Any    =		B""""""
     for i in [3, 2, 1, 0]:
          little_endian += string_aa[8 * i : 8 * i + 8]
     return little_endian






def 							_lowerCAmelCase (  _a   :					int			)	->			bytes:
     if i < 0:
          raise ValueError("""Input must be non-negative"""			)

     lowerCAmelCase_					:       Tuple    =		format(_a					,   """08x"""			)[-8:]
     lowerCAmelCase_					:       Any    =		B""""""
     for i in [3, 2, 1, 0]:
          little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode("""utf-8"""			)
     return little_endian_hex






def 							_lowerCAmelCase (  _a   :					bytes			)	->			bytes:
     lowerCAmelCase_					:       Tuple    =		B""""""
     for char in message:
          bit_string += format(_a					,   """08b"""			).encode("""utf-8"""			)
     lowerCAmelCase_					:       Dict    =		format(len(_a			)					,   """064b"""			).encode("""utf-8"""			)

     # Pad bit_string to a multiple of 512 chars
     bit_string += b"1"
     while len(_a			) % 5_12 != 4_48:
          bit_string += b"0"
     bit_string += to_little_endian(start_len[32:]			) + to_little_endian(start_len[:32]			)

     return bit_string






def 							_lowerCAmelCase (  _a   :					bytes			)	->			Generator[list[int], None, None]:
     if len(_a			) % 5_12 != 0:
          raise ValueError("""Input must have length that's a multiple of 512"""			)

     for pos in range(0					,   len(_a			)					,   5_12			):
          lowerCAmelCase_					:       int    =		bit_string[pos : pos + 5_12]
          lowerCAmelCase_					:       Any    =		[]
          for i in range(0					,   5_12					,   32			):
               block_words.append(int(to_little_endian(block[i : i + 32]			)					,   2			)			)
          yield block_words






def 							_lowerCAmelCase (  _a   :					int			)	->			int:
     if i < 0:
          raise ValueError("""Input must be non-negative"""			)

     lowerCAmelCase_					:       List[str]    =		format(_a					,   """032b"""			)
     lowerCAmelCase_					:       Optional[int]    =		""""""
     for c in i_str:
          new_str += "1" if c == "0" else "0"
     return int(_a					,   2			)






def 							_lowerCAmelCase (  _a   :					int					,   _a   :					int			)	->			int:
     return (a + b) % 2**32






def 							_lowerCAmelCase (  _a   :					int					,   _a   :					int			)	->			int:
     if i < 0:
          raise ValueError("""Input must be non-negative"""			)
     if shift < 0:
          raise ValueError("""Shift must be non-negative"""			)
     return ((i << shift) ^ (i >> (32 - shift))) % 2**32






def 							_lowerCAmelCase (  _a   :					bytes			)	->			bytes:
     lowerCAmelCase_					:       Union[str, Any]    =		preprocess(_a			)

     lowerCAmelCase_					:       Optional[int]    =		[int(2**32 * abs(sin(i + 1			)			)			) for i in range(64			)]

     # Starting states
     lowerCAmelCase_					:       Tuple    =		0X67452301
     lowerCAmelCase_					:       Optional[int]    =		0XEFCDAB89
     lowerCAmelCase_					:       Tuple    =		0X98BADCFE
     lowerCAmelCase_					:       Tuple    =		0X10325476

     lowerCAmelCase_					:       Dict    =		[
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
     ]

     # Process bit string in chunks, each with 16 32-char words
     for block_words in get_block_words(_a			):
          lowerCAmelCase_					:       int    =		aa
          lowerCAmelCase_					:       Any    =		ba
          lowerCAmelCase_					:       List[str]    =		ca
          lowerCAmelCase_					:       Optional[Any]    =		da

          # Hash current chunk
          for i in range(64			):
               if i <= 15:
                    # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                    lowerCAmelCase_					:       int    =		d ^ (b & (c ^ d))
                    lowerCAmelCase_					:       List[Any]    =		i
               elif i <= 31:
                    # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                    lowerCAmelCase_					:       List[Any]    =		c ^ (d & (b ^ c))
                    lowerCAmelCase_					:       Optional[Any]    =		(5 * i + 1) % 16
               elif i <= 47:
                    lowerCAmelCase_					:       Union[str, Any]    =		b ^ c ^ d
                    lowerCAmelCase_					:       Optional[Any]    =		(3 * i + 5) % 16
               else:
                    lowerCAmelCase_					:       Any    =		c ^ (b | not_aa(_a			))
                    lowerCAmelCase_					:       List[str]    =		(7 * i) % 16
               lowerCAmelCase_					:       Tuple    =		(f + a + added_consts[i] + block_words[g]) % 2**32
               lowerCAmelCase_					:       Tuple    =		d
               lowerCAmelCase_					:       Optional[Any]    =		c
               lowerCAmelCase_					:       Dict    =		b
               lowerCAmelCase_					:       List[Any]    =		sum_aa(_a					,   left_rotate_aa(_a					,   shift_amounts[i]			)			)

          # Add hashed chunk to running total
          lowerCAmelCase_					:       Optional[int]    =		sum_aa(_a					,   _a			)
          lowerCAmelCase_					:       Optional[int]    =		sum_aa(_a					,   _a			)
          lowerCAmelCase_					:       Dict    =		sum_aa(_a					,   _a			)
          lowerCAmelCase_					:       Tuple    =		sum_aa(_a					,   _a			)

     lowerCAmelCase_					:       int    =		reformat_hex(_a			) + reformat_hex(_a			) + reformat_hex(_a			) + reformat_hex(_a			)
     return digest


if __name__ == "__main__":
      import doctest

      doctest.testmod()
