





from __future__ import annotations

from decimal import Decimal

from numpy import array






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							list[list[float]]    ):
  SCREAMING_SNAKE_CASE__			=      Decimal

  # Check if the provided matrix has 2 rows and 2 columns
  # since this implementation only works for 2x2 matrices
  if len(_lowerCamelCase    ) == 2 and len(matrix[0]    ) == 2 and len(matrix[1]    ) == 2:
    # Calculate the determinant of the matrix
    SCREAMING_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
    SCREAMING_SNAKE_CASE__			=      [[0.0, 0.0], [0.0, 0.0]]
    SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      matrix[1][1], matrix[0][0]
    SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      -matrix[1][0], -matrix[0][1]

    # Calculate the inverse of the matrix
    return [
        [(float(d(_lowerCamelCase    )    ) / determinant) or 0.0 for n in row] for row in swapped_matrix
    ]
  elif (
      len(_lowerCamelCase    ) == 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
    SCREAMING_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
    SCREAMING_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    )],
    ]
    SCREAMING_SNAKE_CASE__			=      (d(matrix[1][1]    ) * d(matrix[2][2]    )) - (
        d(matrix[1][2]    ) * d(matrix[2][1]    )
    )
    SCREAMING_SNAKE_CASE__			=      -(
        (d(matrix[1][0]    ) * d(matrix[2][2]    )) - (d(matrix[1][2]    ) * d(matrix[2][0]    ))
    )
    SCREAMING_SNAKE_CASE__			=      (d(matrix[1][0]    ) * d(matrix[2][1]    )) - (
        d(matrix[1][1]    ) * d(matrix[2][0]    )
    )
    SCREAMING_SNAKE_CASE__			=      -(
        (d(matrix[0][1]    ) * d(matrix[2][2]    )) - (d(matrix[0][2]    ) * d(matrix[2][1]    ))
    )
    SCREAMING_SNAKE_CASE__			=      (d(matrix[0][0]    ) * d(matrix[2][2]    )) - (
        d(matrix[0][2]    ) * d(matrix[2][0]    )
    )
    SCREAMING_SNAKE_CASE__			=      -(
        (d(matrix[0][0]    ) * d(matrix[2][1]    )) - (d(matrix[0][1]    ) * d(matrix[2][0]    ))
    )
    SCREAMING_SNAKE_CASE__			=      (d(matrix[0][1]    ) * d(matrix[1][2]    )) - (
        d(matrix[0][2]    ) * d(matrix[1][1]    )
    )
    SCREAMING_SNAKE_CASE__			=      -(
        (d(matrix[0][0]    ) * d(matrix[1][2]    )) - (d(matrix[0][2]    ) * d(matrix[1][0]    ))
    )
    SCREAMING_SNAKE_CASE__			=      (d(matrix[0][0]    ) * d(matrix[1][1]    )) - (
        d(matrix[0][1]    ) * d(matrix[1][0]    )
    )

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

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

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






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


_lowerCamelCase   				=			logging.get_logger(__name__)




class   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					"timm_backbone"


							def __init__(							self    :Union[str, Any]							,				__A    :str=None							,				__A    :Union[str, Any]=3							,				__A    :str=True							,				__A    :Any=True							,				__A    :Optional[Any]=None							,				**__A    :List[str]							,				)   ->   Tuple:



									"""simple docstring"""



									super().__init__(**__A		)
									SCREAMING_SNAKE_CASE__			=      backbone
									SCREAMING_SNAKE_CASE__			=      num_channels
									SCREAMING_SNAKE_CASE__			=      features_only
									SCREAMING_SNAKE_CASE__			=      use_pretrained_backbone
									SCREAMING_SNAKE_CASE__			=      True
									SCREAMING_SNAKE_CASE__			=      out_indices if out_indices is not None else (-1,)