






"""simple docstring"""





from __future__ import annotations

from decimal import Decimal

from numpy import array







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	list[list[float]]:
    """simple docstring"""

    UpperCamelCase__         =    Decimal

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

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

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

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

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












"""simple docstring"""





from argparse import ArgumentParser

from . import BaseTransformersCLICommand







def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	Dict:
    """simple docstring"""

    return DownloadCommand(args.model ,	args.cache_dir ,	args.force ,	args.trust_remote_code					)





class    __lowerCamelCase    (  _a  ):

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       Union[str, Any]:
       UpperCamelCase__         =    parser.add_parser('download'      )
       download_parser.add_argument(
           '--cache-dir' ,				type=snake_case_ ,				default=snake_case_ ,				help='Path to location to store the models'      )
       download_parser.add_argument(
           '--force' ,				action='store_true' ,				help='Force the model to be download even if already in cache-dir'      )
       download_parser.add_argument(
           '--trust-remote-code' ,				action='store_true' ,				help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine' ,				)
       download_parser.add_argument('model' ,				type=snake_case_ ,				help='Name of the model to download'      )
       download_parser.set_defaults(func=snake_case_      )

   def __init__(					self ,				snake_case_ ,				snake_case_ ,				snake_case_ ,				snake_case_      )		->       str:
       UpperCamelCase__         =    model
       UpperCamelCase__         =    cache
       UpperCamelCase__         =    force
       UpperCamelCase__         =    trust_remote_code







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       from ..models.auto import AutoModel, AutoTokenizer

       AutoModel.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )
       AutoTokenizer.from_pretrained(
           self._model ,				cache_dir=self._cache ,				force_download=self._force ,				trust_remote_code=self._trust_remote_code      )




