





from __future__ import annotations

from decimal import Decimal

from numpy import array




def 		lowerCAmelCase_    (  __UpperCAmelCase:			list[list[float]]      )      ->	list[list[float]]:
    UpperCamelCase__							:				Any          =      Decimal

    # Check if the provided matrix has 2 rows and 2 columns
    # since this implementation only works for 2x2 matrices
    if len(__UpperCAmelCase      ) == 2 and len(matrix[0]      ) == 2 and len(matrix[1]      ) == 2:
        # Calculate the determinant of the matrix
        UpperCamelCase__							:				int          =      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__							:				Union[str, Any]          =      [[0.0, 0.0], [0.0, 0.0]]
        UpperCamelCase__   ,UpperCamelCase__							:				List[str]          =      matrix[1][1], matrix[0][0]
        UpperCamelCase__   ,UpperCamelCase__							:				Dict          =      -matrix[1][0], -matrix[0][1]

        # Calculate the inverse of the matrix
        return [
            [(float(d(__UpperCAmelCase      )      ) / determinant) or 0.0 for n in row] for row in swapped_matrix
        ]
    elif (
        len(__UpperCAmelCase      ) == 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__							:				List[Any]          =      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__							:				str          =      [
            [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__							:				str          =      (d(matrix[1][1]      ) * d(matrix[2][2]      )) - (
            d(matrix[1][2]      ) * d(matrix[2][1]      )
        )
        UpperCamelCase__							:				List[str]          =      -(
            (d(matrix[1][0]      ) * d(matrix[2][2]      )) - (d(matrix[1][2]      ) * d(matrix[2][0]      ))
        )
        UpperCamelCase__							:				Any          =      (d(matrix[1][0]      ) * d(matrix[2][1]      )) - (
            d(matrix[1][1]      ) * d(matrix[2][0]      )
        )
        UpperCamelCase__							:				Optional[int]          =      -(
            (d(matrix[0][1]      ) * d(matrix[2][2]      )) - (d(matrix[0][2]      ) * d(matrix[2][1]      ))
        )
        UpperCamelCase__							:				str          =      (d(matrix[0][0]      ) * d(matrix[2][2]      )) - (
            d(matrix[0][2]      ) * d(matrix[2][0]      )
        )
        UpperCamelCase__							:				str          =      -(
            (d(matrix[0][0]      ) * d(matrix[2][1]      )) - (d(matrix[0][1]      ) * d(matrix[2][0]      ))
        )
        UpperCamelCase__							:				Optional[int]          =      (d(matrix[0][1]      ) * d(matrix[1][2]      )) - (
            d(matrix[0][2]      ) * d(matrix[1][1]      )
        )
        UpperCamelCase__							:				Dict          =      -(
            (d(matrix[0][0]      ) * d(matrix[1][2]      )) - (d(matrix[0][2]      ) * d(matrix[1][0]      ))
        )
        UpperCamelCase__							:				Dict          =      (d(matrix[0][0]      ) * d(matrix[1][1]      )) - (
            d(matrix[0][1]      ) * d(matrix[1][0]      )
        )

        # Transpose the cofactor matrix (Adjoint matrix)
        UpperCamelCase__							:				Optional[int]          =      array(__UpperCAmelCase      )
        for i in range(3      ):
            for j in range(3      ):
                UpperCamelCase__							:				List[Any]          =      cofactor_matrix[j][i]

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

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








import re
from pathlib import Path
from unittest import TestCase

import pytest






@pytest.mark.integration
class     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Union[str, Any]:






       """simple docstring"""

       with open(__magic_name__,		encoding='''utf-8'''							) as input_file:
           UpperCamelCase__							:				Tuple          =      re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''							)
           UpperCamelCase__							:				str          =      input_file.read()
           UpperCamelCase__							:				List[Any]          =      regexp.search(__magic_name__							)

       return match




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Any:






       """simple docstring"""

       with open(__magic_name__,		encoding='''utf-8'''							) as input_file:
           UpperCamelCase__							:				Dict          =      re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()''',		re.DOTALL							)
           UpperCamelCase__							:				Any          =      input_file.read()
           # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
           UpperCamelCase__							:				Tuple          =      regexp.finditer(__magic_name__							)

       UpperCamelCase__							:				Dict          =      [match for match in matches if match is not None and match.group(1							) is not None]
       return matches[0] if matches else None




   def       UpperCamelCase__  (    self							) ->      List[Any]:






       """simple docstring"""
       UpperCamelCase__							:				int          =      Path('''./datasets'''							)
       UpperCamelCase__							:				Any          =      list(dataset_paths.absolute().glob('''**/*.py'''							)							)

       for dataset in dataset_files:
           if self._no_encoding_on_file_open(str(__magic_name__							)							):
               raise AssertionError(f"open(...) must use utf-8 encoding in {dataset}"							)




   def       UpperCamelCase__  (    self							) ->      Dict:






       """simple docstring"""
       UpperCamelCase__							:				Optional[int]          =      Path('''./datasets'''							)
       UpperCamelCase__							:				Optional[Any]          =      list(dataset_paths.absolute().glob('''**/*.py'''							)							)

       for dataset in dataset_files:
           if self._no_print_statements(str(__magic_name__							)							):
               raise AssertionError(f"print statement found in {dataset}. Use datasets.logger/logging instead."							)

