
from ..utils import DummyObject, requires_backends







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							int									=		["flax", "transformers"]





     def __init__(self				:   List[Any]    ,   *_A				:   Any    ,   **_A				:   Any       )						->						Union[str, Any]:
         requires_backends(self    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   List[Any]    ,   *_A				:   Optional[int]    ,   **_A				:   int       )						->						Dict:
         requires_backends(cls    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Union[str, Any]    ,   *_A				:   Dict    ,   **_A				:   List[Any]       )						->						Dict:
         requires_backends(cls    ,   ["flax", "transformers"]       )







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							List[str]									=		["flax", "transformers"]





     def __init__(self				:   Union[str, Any]    ,   *_A				:   int    ,   **_A				:   Optional[int]       )						->						List[Any]:
         requires_backends(self    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   int    ,   *_A				:   Union[str, Any]    ,   **_A				:   Optional[Any]       )						->						Tuple:
         requires_backends(cls    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   str    ,   *_A				:   List[str]    ,   **_A				:   Tuple       )						->						Union[str, Any]:
         requires_backends(cls    ,   ["flax", "transformers"]       )







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							Optional[Any]									=		["flax", "transformers"]





     def __init__(self				:   str    ,   *_A				:   str    ,   **_A				:   Union[str, Any]       )						->						Optional[int]:
         requires_backends(self    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Optional[Any]    ,   *_A				:   Any    ,   **_A				:   Optional[int]       )						->						Any:
         requires_backends(cls    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   Tuple    ,   *_A				:   Tuple    ,   **_A				:   List[Any]       )						->						List[Any]:
         requires_backends(cls    ,   ["flax", "transformers"]       )







class 					lowerCamelCase		(  metaclass=A_  ):
     UpperCAmelCase__    :							int									=		["flax", "transformers"]





     def __init__(self				:   Any    ,   *_A				:   str    ,   **_A				:   Dict       )						->						Dict:
         requires_backends(self    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   str    ,   *_A				:   Optional[int]    ,   **_A				:   str       )						->						Tuple:
         requires_backends(cls    ,   ["flax", "transformers"]       )





     @classmethod
     def 		UpperCAmelCase(cls				:   List[str]    ,   *_A				:   Union[str, Any]    ,   **_A				:   Dict       )						->						str:
         requires_backends(cls    ,   ["flax", "transformers"]       )



from __future__ import annotations

from decimal import Decimal

from numpy import array



def 						lowercase_      (       A__		)							->							list[list[float]]:
    """simple docstring"""

    snake_case								= Decimal

    # Check if the provided matrix has 2 rows and 2 columns
    # since this implementation only works for 2x2 matrices
    if len(A__		) == 2 and len(matrix[0]		) == 2 and len(matrix[1]		) == 2:
        # Calculate the determinant of the matrix
        snake_case								= float(
            d(matrix[0][0]		) * d(matrix[1][1]		) - d(matrix[1][0]		) * d(matrix[0][1]		)		)
        if determinant == 0:
            raise ValueError("This matrix has no inverse."		)

        # Creates a copy of the matrix with swapped positions of the elements
        snake_case								= [[0.0, 0.0], [0.0, 0.0]]
        snake_case					,							snake_case								= matrix[1][1], matrix[0][0]
        snake_case					,							snake_case								= -matrix[1][0], -matrix[0][1]

        # Calculate the inverse of the matrix
        return [
            [(float(d(A__		)		) / determinant) or 0.0 for n in row] for row in swapped_matrix
        ]
    elif (
        len(A__		) == 3
        and len(matrix[0]		) == 3
        and len(matrix[1]		) == 3
        and len(matrix[2]		) == 3
    ):
        # Calculate the determinant of the matrix using Sarrus rule
        snake_case								= float(
            (
                (d(matrix[0][0]		) * d(matrix[1][1]		) * d(matrix[2][2]		))
                + (d(matrix[0][1]		) * d(matrix[1][2]		) * d(matrix[2][0]		))
                + (d(matrix[0][2]		) * d(matrix[1][0]		) * d(matrix[2][1]		))
            )
            - (
                (d(matrix[0][2]		) * d(matrix[1][1]		) * d(matrix[2][0]		))
                + (d(matrix[0][1]		) * d(matrix[1][0]		) * d(matrix[2][2]		))
                + (d(matrix[0][0]		) * d(matrix[1][2]		) * d(matrix[2][1]		))
            )		)
        if determinant == 0:
            raise ValueError("This matrix has no inverse."		)

        # Creating cofactor matrix
        snake_case								= [
            [d(0.0		), d(0.0		), d(0.0		)],
            [d(0.0		), d(0.0		), d(0.0		)],
            [d(0.0		), d(0.0		), d(0.0		)],
        ]
        snake_case								= (d(matrix[1][1]		) * d(matrix[2][2]		)) - (
            d(matrix[1][2]		) * d(matrix[2][1]		)
        )
        snake_case								= -(
            (d(matrix[1][0]		) * d(matrix[2][2]		)) - (d(matrix[1][2]		) * d(matrix[2][0]		))
        )
        snake_case								= (d(matrix[1][0]		) * d(matrix[2][1]		)) - (
            d(matrix[1][1]		) * d(matrix[2][0]		)
        )
        snake_case								= -(
            (d(matrix[0][1]		) * d(matrix[2][2]		)) - (d(matrix[0][2]		) * d(matrix[2][1]		))
        )
        snake_case								= (d(matrix[0][0]		) * d(matrix[2][2]		)) - (
            d(matrix[0][2]		) * d(matrix[2][0]		)
        )
        snake_case								= -(
            (d(matrix[0][0]		) * d(matrix[2][1]		)) - (d(matrix[0][1]		) * d(matrix[2][0]		))
        )
        snake_case								= (d(matrix[0][1]		) * d(matrix[1][2]		)) - (
            d(matrix[0][2]		) * d(matrix[1][1]		)
        )
        snake_case								= -(
            (d(matrix[0][0]		) * d(matrix[1][2]		)) - (d(matrix[0][2]		) * d(matrix[1][0]		))
        )
        snake_case								= (d(matrix[0][0]		) * d(matrix[1][1]		)) - (
            d(matrix[0][1]		) * d(matrix[1][0]		)
        )

        # Transpose the cofactor matrix (Adjoint matrix)
        snake_case								= array(A__		)
        for i in range(3		):
            for j in range(3		):
                snake_case								= cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
        snake_case								= array(A__		)
        for i in range(3		):
            for j in range(3		):
                inverse_matrix[i][j] /= d(A__		)

        # Calculate the inverse of the matrix
        return [[float(d(A__		)		) or 0.0 for n in row] for row in inverse_matrix]
    raise ValueError("Please provide a matrix of size 2x2 or 3x3."		)

