'''simple docstring'''




from __future__ import annotations

from typing import Any

def 			UpperCamelCase_							(      *_UpperCAmelCase						:   list[list[int]]					)					->					list[list[int]]:


       """simple docstring"""







       if all(_check_not_integer(_UpperCAmelCase					) for m in matrix_s					):
              for i in matrix_s[1:]:
                     _verify_matrix_sizes(matrix_s[0]    ,			_UpperCAmelCase					)
              return [[sum(_UpperCAmelCase					) for t in zip(*_UpperCAmelCase					)] for m in zip(*_UpperCAmelCase					)]
       raise TypeError("Expected a matrix, got int/list instead"					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]    ,			_UpperCAmelCase						:   list[list[int]]					)					->					list[list[int]]:


       """simple docstring"""







       if (
           _check_not_integer(_UpperCAmelCase					)
           and _check_not_integer(_UpperCAmelCase					)
           and _verify_matrix_sizes(_UpperCAmelCase    ,			_UpperCAmelCase					)
       ):
              return [[i - j for i, j in zip(*_UpperCAmelCase					)] for m in zip(_UpperCAmelCase    ,			_UpperCAmelCase					)]
       raise TypeError("Expected a matrix, got int/list instead"					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]    ,			_UpperCAmelCase						:   int | float					)					->					list[list[float]]:


       """simple docstring"""







       return [[x * n for x in row] for row in matrix]

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]    ,			_UpperCAmelCase						:   list[list[int]]					)					->					list[list[int]]:


       """simple docstring"""







       if _check_not_integer(_UpperCAmelCase					) and _check_not_integer(_UpperCAmelCase					):
              _UpperCAmelCase   ,						_UpperCAmelCase  :						Optional[Any]							   =					_verify_matrix_sizes(_UpperCAmelCase    ,			_UpperCAmelCase					)

       if cols[0] != rows[1]:
              _UpperCAmelCase  :						Optional[Any]							   =					(
                  "Cannot multiply matrix of dimensions "
                  F"""({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})"""
              )
              raise ValueError(_UpperCAmelCase					)
       return [
           [sum(m * n for m, n in zip(_UpperCAmelCase    ,			_UpperCAmelCase					)					) for j in zip(*_UpperCAmelCase					)] for i in matrix_a
       ]

def 			UpperCamelCase_							(      _UpperCAmelCase						:   int					)					->					list[list[int]]:


       """simple docstring"""







       _UpperCAmelCase  :						Any							   =					int(_UpperCAmelCase					)
       return [[int(row == column					) for column in range(_UpperCAmelCase					)] for row in range(_UpperCAmelCase					)]

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]    ,			_UpperCAmelCase						:   bool = True					)					->					list[list[int]] | map[list[int]]:


       """simple docstring"""







       if _check_not_integer(_UpperCAmelCase					):
              if return_map:
                     return map(_UpperCAmelCase    ,			zip(*_UpperCAmelCase					)					)
              else:
                     return list(map(_UpperCAmelCase    ,			zip(*_UpperCAmelCase					)					)					)
       raise TypeError("Expected a matrix, got int/list instead"					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]    ,			_UpperCAmelCase						:   int    ,			_UpperCAmelCase						:   int					)					->					list[list[int]]:


       """simple docstring"""







       _UpperCAmelCase  :						List[str]							   =					matrix[:row] + matrix[row + 1 :]
       return [row[:column] + row[column + 1 :] for row in minor]

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]					)					->					Any:


       """simple docstring"""







       if len(_UpperCAmelCase					) == 1:
              return matrix[0][0]

       return sum(
           x * determinant(minor(_UpperCAmelCase    ,			0    ,			_UpperCAmelCase					)					) * (-1) ** i
           for i, x in enumerate(matrix[0]					)					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]					)					->					list[list[float]] | None:


       """simple docstring"""







       _UpperCAmelCase  :						int							   =					determinant(_UpperCAmelCase					)
       if det == 0:
              return None

       _UpperCAmelCase  :						Optional[Any]							   =					[
           [determinant(minor(_UpperCAmelCase    ,			_UpperCAmelCase    ,			_UpperCAmelCase					)					) for j in range(len(_UpperCAmelCase					)					)]
           for i in range(len(_UpperCAmelCase					)					)
       ]

       _UpperCAmelCase  :						List[str]							   =					[
           [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row]					)]
           for row in range(len(_UpperCAmelCase					)					)
       ]
       _UpperCAmelCase  :						Dict							   =					list(transpose(_UpperCAmelCase					)					)
       return scalar_multiply(_UpperCAmelCase    ,			1 / det					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]					)					->					bool:


       """simple docstring"""







       return not isinstance(_UpperCAmelCase    ,			_UpperCAmelCase					) and not isinstance(matrix[0]    ,			_UpperCAmelCase					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]					)					->					tuple[int, int]:


       """simple docstring"""







       return len(_UpperCAmelCase					), len(matrix[0]					)

def 			UpperCamelCase_							(      _UpperCAmelCase						:   list[list[int]]    ,			_UpperCAmelCase						:   list[list[int]]					)					->					tuple[tuple[int, int], tuple[int, int]]:


       """simple docstring"""







       _UpperCAmelCase  :						Optional[Any]							   =					_shape(_UpperCAmelCase					) + _shape(_UpperCAmelCase					)
       if shape[0] != shape[3] or shape[1] != shape[2]:
              _UpperCAmelCase  :						Tuple							   =					(
                  "operands could not be broadcast together with shape "
                  F"""({shape[0], shape[1]}), ({shape[2], shape[3]})"""
              )
              raise ValueError(_UpperCAmelCase					)
       return (shape[0], shape[2]), (shape[1], shape[3])

def 			UpperCamelCase_							(      )					->					None:


       """simple docstring"""







       _UpperCAmelCase  :						Union[str, Any]							   =					[[12, 10], [3, 9]]
       _UpperCAmelCase  :						Any							   =					[[3, 4], [7, 4]]
       _UpperCAmelCase  :						str							   =					[[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
       _UpperCAmelCase  :						int							   =					[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
       print(F"""Add Operation, {add(_UpperCAmelCase    ,			_UpperCAmelCase					) = } \n"""					)
       print(
           F"""Multiply Operation, {multiply(_UpperCAmelCase    ,			_UpperCAmelCase					) = } \n"""    ,			)
       print(F"""Identity: {identity(5					)}\n"""					)
       print(F"""Minor of {matrix_c} = {minor(_UpperCAmelCase    ,			1    ,			2					)} \n"""					)
       print(F"""Determinant of {matrix_b} = {determinant(_UpperCAmelCase					)} \n"""					)
       print(F"""Inverse of {matrix_d} = {inverse(_UpperCAmelCase					)}\n"""					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()


'''simple docstring'''




import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__SCREAMING_SNAKE_CASE :  Optional[int]  =						logging.get_logger(__name__)

class 			lowerCamelCase_			(snake_case__					):
      '''simple docstring'''

      __UpperCamelCase:						List[Any]      			=		"speech-encoder-decoder"
      __UpperCamelCase:						Optional[int]      			=		True




      def __init__( self		:       Optional[int]		,      **A		:       Tuple ):
             super().__init__(**A )
             if "encoder" not in kwargs or "decoder" not in kwargs:
                    raise ValueError(
                        F"""A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"""
                        F""" `decoder` sub-configurations are passed, but only {kwargs}""" )

             _UpperCAmelCase  :						Dict							   =					kwargs.pop("encoder" )
             _UpperCAmelCase  :						Any							   =					encoder_config.pop("model_type" )
             _UpperCAmelCase  :						str							   =					kwargs.pop("decoder" )
             _UpperCAmelCase  :						int							   =					decoder_config.pop("model_type" )

             _UpperCAmelCase  :						List[Any]							   =					AutoConfig.for_model(A		,      **A )
             _UpperCAmelCase  :						str							   =					AutoConfig.for_model(A		,      **A )
             _UpperCAmelCase  :						Optional[int]							   =					True




      @classmethod
      def   _A			( cls		:       int		,      A		:       PretrainedConfig		,      A		:       PretrainedConfig		,      **A		:       Dict ):
             logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config" )
             _UpperCAmelCase  :						Any							   =					True
             _UpperCAmelCase  :						Union[str, Any]							   =					True

             return cls(encoder=encoder_config.to_dict()		,      decoder=decoder_config.to_dict()		,      **A )





      def   _A			( self		:       Tuple ):
             _UpperCAmelCase  :						List[str]							   =					copy.deepcopy(self.__dict__ )
             _UpperCAmelCase  :						Any							   =					self.encoder.to_dict()
             _UpperCAmelCase  :						Union[str, Any]							   =					self.decoder.to_dict()
             _UpperCAmelCase  :						Union[str, Any]							   =					self.__class__.model_type
             return output

