





'''simple docstring'''







from __future__ import annotations

from decimal import Decimal

from numpy import array






def  _lowerCamelCase				( lowercase						:      list[list[float]]						)	->	list[list[float]]:
				_a								= Decimal

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

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

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

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

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




from __future__ import annotations


class        _a							:

							def __init__(							self:	Union[str, Any]    ,						UpperCamelCase_:	str    ,						UpperCamelCase_:	str							)			->   List[Any]:





									"""simple docstring"""







									lowercase__     ,		lowercase__            =      text, pattern
									lowercase__     ,		lowercase__            =      len(UpperCamelCase_							), len(UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Optional[int]    ,						UpperCamelCase_:	str							)			->   int:





									"""simple docstring"""







									for i in range(self.patLen - 1    ,						-1    ,						-1							):
											if char == self.pattern[i]:
													return i
									return -1

							def       lowerCamelCase_ (							self:	Optional[int]    ,						UpperCamelCase_:	int							)			->   int:





									"""simple docstring"""







									for i in range(self.patLen - 1    ,						-1    ,						-1							):
											if self.pattern[i] != self.text[current_pos + i]:
													return current_pos + i
									return -1


							def       lowerCamelCase_ (							self:	List[Any]							)			->   list[int]:





									"""simple docstring"""







									lowercase__            =      []
									for i in range(self.textLen - self.patLen + 1							):
											lowercase__            =      self.mismatch_in_text(UpperCamelCase_							)
											if mismatch_index == -1:
													positions.append(UpperCamelCase_							)
											else:
													lowercase__            =      self.match_in_pattern(self.text[mismatch_index]							)
													lowercase__            =      (
													    mismatch_index - match_index
													)  # shifting index lgtm [py/multiple-definition]
									return positions
lowerCAmelCase       =							'ABAABA'
lowerCAmelCase       =							'AB'
lowerCAmelCase       =							BoyerMooreSearch(text, pattern)
lowerCAmelCase       =							bms.bad_character_heuristic()

if len(positions) == 0:
			print('No match found')
else:
			print('Pattern found in following positions: ')
			print(positions)


