


from __future__ import annotations

import math
import random
from collections.abc import Collection
from typing import overload






class     UpperCAmelCase__       :



    """simple docstring"""






    def __init__(			self					,   A_ = None    )  ->       None:
         if components is None:
              __UpperCamelCase    							=[]
         __UpperCamelCase    							=list(A_    )






    def __len__(			self    )  ->       int:
         return len(self.__components    )






    def __str__(			self    )  ->       str:
         return "(" + ",".join(map(A_					,   self.__components    )    ) + ")"






    def __add__(			self					,   A_    )  ->       Vector:
         __UpperCamelCase    							=len(self    )
         if size == len(A_    ):
              __UpperCamelCase    							=[self.__components[i] + other.component(A_    ) for i in range(A_    )]
              return Vector(A_    )
         else:
              raise Exception('must have the same size'    )






    def __sub__(			self					,   A_    )  ->       Vector:
         __UpperCamelCase    							=len(self    )
         if size == len(A_    ):
              __UpperCamelCase    							=[self.__components[i] - other.component(A_    ) for i in range(A_    )]
              return Vector(A_    )
         else:  # error case
              raise Exception('must have the same size'    )






    @overload
    def __mul__(			self					,   A_    )  ->       Vector:
         ...






    @overload
    def __mul__(			self					,   A_    )  ->       float:
         ...






    def __mul__(			self					,   A_    )  ->       float | Vector:
         if isinstance(A_					,   (float, int)    ):
              __UpperCamelCase    							=[c * other for c in self.__components]
              return Vector(A_    )
         elif isinstance(A_					,   A_    ) and len(self    ) == len(A_    ):
              __UpperCamelCase    							=len(self    )
              __UpperCamelCase    							=[self.__components[i] * other.component(A_    ) for i in range(A_    )]
              return sum(A_    )
         else:  # error case
              raise Exception('invalid operand!'    )






    def _a					(			self    )  ->       Vector:
         return Vector(self.__components    )






    def _a					(			self					,   A_    )  ->       float:
         if isinstance(A_					,   A_    ) and -len(self.__components    ) <= i < len(self.__components    ):
              return self.__components[i]
         else:
              raise Exception('index out of range'    )






    def _a					(			self					,   A_					,   A_    )  ->       None:
         assert -len(self.__components    ) <= pos < len(self.__components    )
         __UpperCamelCase    							=value






    def _a					(			self    )  ->       float:
         if len(self.__components    ) == 0:
              raise Exception('Vector is empty'    )
         __UpperCamelCase    							=[c**2 for c in self.__components]
         return math.sqrt(sum(A_    )    )






    def _a					(			self					,   A_					,   A_ = False    )  ->       float:
         __UpperCamelCase    							=self * other
         __UpperCamelCase    							=self.euclidean_length() * other.euclidean_length()
         if deg:
              return math.degrees(math.acos(num / den    )    )
         else:
              return math.acos(num / den    )

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int				):
     assert isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
     return Vector([0] * dimension				)

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int				):
     assert isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				) and (isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				))
     __UpperCamelCase    							=[0] * dimension
     __UpperCamelCase    							=1
     return Vector(SCREAMING_SNAKE_CASE__				)

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					float			,     SCREAMING_SNAKE_CASE__			:					Vector			,     SCREAMING_SNAKE_CASE__			:					Vector				):
     assert (
         isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
         and isinstance(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
         and (isinstance(SCREAMING_SNAKE_CASE__			,     (int, float)				))
     )
     return x * scalar + y

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int				):
     random.seed(SCREAMING_SNAKE_CASE__				)
     __UpperCamelCase    							=[random.randint(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				) for _ in range(SCREAMING_SNAKE_CASE__				)]
     return Vector(SCREAMING_SNAKE_CASE__				)






class     UpperCAmelCase__       :



    """simple docstring"""






    def __init__(			self					,   A_					,   A_					,   A_    )  ->       None:
         __UpperCamelCase    							=matrix
         __UpperCamelCase    							=w
         __UpperCamelCase    							=h






    def __str__(			self    )  ->       str:
         __UpperCamelCase    							=''
         for i in range(self.__height    ):
              ans += "|"
              for j in range(self.__width    ):
                   if j < self.__width - 1:
                        ans += str(self.__matrix[i][j]    ) + ","
                   else:
                        ans += str(self.__matrix[i][j]    ) + "|\n"
         return ans






    def __add__(			self					,   A_    )  ->       Matrix:
         if self.__width == other.width() and self.__height == other.height():
              __UpperCamelCase    							=[]
              for i in range(self.__height    ):
                   __UpperCamelCase    							=[
                       self.__matrix[i][j] + other.component(A_					,   A_    )
                       for j in range(self.__width    )
                   ]
                   matrix.append(A_    )
              return Matrix(A_					,   self.__width					,   self.__height    )
         else:
              raise Exception('matrix must have the same dimension!'    )






    def __sub__(			self					,   A_    )  ->       Matrix:
         if self.__width == other.width() and self.__height == other.height():
              __UpperCamelCase    							=[]
              for i in range(self.__height    ):
                   __UpperCamelCase    							=[
                       self.__matrix[i][j] - other.component(A_					,   A_    )
                       for j in range(self.__width    )
                   ]
                   matrix.append(A_    )
              return Matrix(A_					,   self.__width					,   self.__height    )
         else:
              raise Exception('matrices must have the same dimension!'    )






    @overload
    def __mul__(			self					,   A_    )  ->       Matrix:
         ...






    @overload
    def __mul__(			self					,   A_    )  ->       Vector:
         ...






    def __mul__(			self					,   A_    )  ->       Vector | Matrix:
         if isinstance(A_					,   A_    ):  # matrix-vector
              if len(A_    ) == self.__width:
                   __UpperCamelCase    							=zero_vector(self.__height    )
                   for i in range(self.__height    ):
                        __UpperCamelCase    							=[
                            self.__matrix[i][j] * other.component(A_    )
                            for j in range(self.__width    )
                        ]
                        ans.change_component(A_					,   sum(A_    )    )
                   return ans
              else:
                   raise Exception(
                       'vector must have the same size as the '
                       'number of columns of the matrix!'    )
         elif isinstance(A_					,   (int, float)    ):  # matrix-scalar
              __UpperCamelCase    							=[
                  [self.__matrix[i][j] * other for j in range(self.__width    )]
                  for i in range(self.__height    )
              ]
              return Matrix(A_					,   self.__width					,   self.__height    )
         return None






    def _a					(			self    )  ->       int:
         return self.__height






    def _a					(			self    )  ->       int:
         return self.__width






    def _a					(			self					,   A_					,   A_    )  ->       float:
         if 0 <= x < self.__height and 0 <= y < self.__width:
              return self.__matrix[x][y]
         else:
              raise Exception('change_component: indices out of bounds'    )






    def _a					(			self					,   A_					,   A_					,   A_    )  ->       None:
         if 0 <= x < self.__height and 0 <= y < self.__width:
              __UpperCamelCase    							=value
         else:
              raise Exception('change_component: indices out of bounds'    )






    def _a					(			self					,   A_					,   A_    )  ->       float:
         if self.__height != self.__width:
              raise Exception('Matrix is not square'    )
         __UpperCamelCase    							=self.__matrix[:x] + self.__matrix[x + 1 :]
         for i in range(len(A_    )    ):
              __UpperCamelCase    							=minor[i][:y] + minor[i][y + 1 :]
         return Matrix(A_					,   self.__width - 1					,   self.__height - 1    ).determinant()






    def _a					(			self					,   A_					,   A_    )  ->       float:
         if self.__height != self.__width:
              raise Exception('Matrix is not square'    )
         if 0 <= x < self.__height and 0 <= y < self.__width:
              return (-1) ** (x + y) * self.minor(A_					,   A_    )
         else:
              raise Exception('Indices out of bounds'    )






    def _a					(			self    )  ->       float:
         if self.__height != self.__width:
              raise Exception('Matrix is not square'    )
         if self.__height < 1:
              raise Exception('Matrix has no element'    )
         elif self.__height == 1:
              return self.__matrix[0][0]
         elif self.__height == 2:
              return (
                  self.__matrix[0][0] * self.__matrix[1][1]
                  - self.__matrix[0][1] * self.__matrix[1][0]
              )
         else:
              __UpperCamelCase    							=[
                  self.__matrix[0][y] * self.cofactor(0					,   A_    ) for y in range(self.__width    )
              ]
              return sum(A_    )

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int				):
     __UpperCamelCase    							=[[0] * n for _ in range(SCREAMING_SNAKE_CASE__				)]
     return Matrix(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)





def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					int				):
     random.seed(SCREAMING_SNAKE_CASE__				)
     __UpperCamelCase    							=[
         [random.randint(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				) for _ in range(SCREAMING_SNAKE_CASE__				)] for _ in range(SCREAMING_SNAKE_CASE__				)
     ]
     return Matrix(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)









import warnings

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


_A		       =						logging.get_logger(__name__)

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






class     UpperCAmelCase__       (					A_		):



    """simple docstring"""






    UpperCAmelCase__						:		Optional[int]      =  "mvp"
    UpperCAmelCase__						:		Tuple      =  ["past_key_values"]
    UpperCAmelCase__						:		Union[str, Any]      =  {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}






    def __init__(			self					,   A_=50267					,   A_=1024					,   A_=12					,   A_=4096					,   A_=16					,   A_=12					,   A_=4096					,   A_=16					,   A_=0.0					,   A_=0.0					,   A_="gelu"					,   A_=1024					,   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_=100					,   A_=800					,   **A_					,   )  ->       Union[str, Any]:
         __UpperCamelCase    							=vocab_size
         __UpperCamelCase    							=max_position_embeddings
         __UpperCamelCase    							=d_model
         __UpperCamelCase    							=encoder_ffn_dim
         __UpperCamelCase    							=encoder_layers
         __UpperCamelCase    							=encoder_attention_heads
         __UpperCamelCase    							=decoder_ffn_dim
         __UpperCamelCase    							=decoder_layers
         __UpperCamelCase    							=decoder_attention_heads
         __UpperCamelCase    							=dropout
         __UpperCamelCase    							=attention_dropout
         __UpperCamelCase    							=activation_dropout
         __UpperCamelCase    							=activation_function
         __UpperCamelCase    							=init_std
         __UpperCamelCase    							=encoder_layerdrop
         __UpperCamelCase    							=decoder_layerdrop
         __UpperCamelCase    							=classifier_dropout
         __UpperCamelCase    							=use_cache
         __UpperCamelCase    							=encoder_layers
         __UpperCamelCase    							=scale_embedding  # scale factor will be sqrt(d_model) if True
         __UpperCamelCase    							=use_prompt
         __UpperCamelCase    							=prompt_length
         __UpperCamelCase    							=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_    ):
              __UpperCamelCase    							=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.'    )





