



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import _LazyModule


A    =			{'tokenization_wav2vec2_phoneme': ['Wav2Vec2PhonemeCTCTokenizer']}


if TYPE_CHECKING:
							from .tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizer
else:
							import sys

							A    =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








"""simple docstring"""







from __future__ import annotations






class      UpperCAmelCase__		:



		def __init__( self  :    Any      ,							snake_case  :    list[list[int]]				)			->						Union[str, Any]:






									'''simple docstring'''

									A         =					TypeError(
									    'Matrices must be formed from a list of zero or more lists containing at '
									    'least one and the same number of values, each of which must be of type '
									    'int or float.'				)
									if len(snake_case				) != 0:
																A         =					len(rows[0]				)
																if cols == 0:
																							raise error
																for row in rows:
																							if len(snake_case				) != cols:
																														raise error
																							for value in row:
																														if not isinstance(snake_case      ,							(int, float)				):
																																					raise error
																A         =					rows
									else:
																A         =					[]



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






									'''simple docstring'''

									return [[row[i] for row in self.rows] for i in range(len(self.rows[0]				)				)]



		@property
		def 					A_		( self  :    List[Any]				)			->						int:






									'''simple docstring'''

									return len(self.rows				)



		@property
		def 					A_		( self  :    int				)			->						int:






									'''simple docstring'''

									return len(self.rows[0]				)



		@property
		def 					A_		( self  :    int				)			->						tuple[int, int]:






									'''simple docstring'''

									return (self.num_rows, self.num_columns)



		@property
		def 					A_		( self  :    Tuple				)			->						bool:






									'''simple docstring'''

									return self.order[0] == self.order[1]



		def 					A_		( self  :    Tuple				)			->						Matrix:






									'''simple docstring'''

									A         =					[
									    [0 if column_num != row_num else 1 for column_num in range(self.num_rows				)]
									    for row_num in range(self.num_rows				)
									]
									return Matrix(snake_case				)



		def 					A_		( self  :    Union[str, Any]				)			->						int:






									'''simple docstring'''

									if not self.is_square:
																return 0
									if self.order == (0, 0):
																return 1
									if self.order == (1, 1):
																return int(self.rows[0][0]				)
									if self.order == (2, 2):
																return int(
																    (self.rows[0][0] * self.rows[1][1])
																    - (self.rows[0][1] * self.rows[1][0])				)
									else:
																return sum(
																    self.rows[0][column] * self.cofactors().rows[0][column]
																    for column in range(self.num_columns				)				)



		def 					A_		( self  :    Dict				)			->						bool:






									'''simple docstring'''

									return bool(self.determinant()				)



		def 					A_		( self  :    Any      ,							snake_case  :    int      ,							snake_case  :    int				)			->						int:






									'''simple docstring'''

									A         =					[
									    [
									        self.rows[other_row][other_column]
									        for other_column in range(self.num_columns				)
									        if other_column != column
									    ]
									    for other_row in range(self.num_rows				)
									    if other_row != row
									]
									return Matrix(snake_case				).determinant()



		def 					A_		( self  :    Tuple      ,							snake_case  :    int      ,							snake_case  :    int				)			->						int:






									'''simple docstring'''

									if (row + column) % 2 == 0:
																return self.get_minor(snake_case      ,							snake_case				)
									return -1 * self.get_minor(snake_case      ,							snake_case				)



		def 					A_		( self  :    List[str]				)			->						Matrix:






									'''simple docstring'''

									return Matrix(
									    [
									        [self.get_minor(snake_case      ,							snake_case				) for column in range(self.num_columns				)]
									        for row in range(self.num_rows				)
									    ]				)



		def 					A_		( self  :    Union[str, Any]				)			->						Matrix:






									'''simple docstring'''

									return Matrix(
									    [
									        [
									            self.minors().rows[row][column]
									            if (row + column) % 2 == 0
									            else self.minors().rows[row][column] * -1
									            for column in range(self.minors().num_columns				)
									        ]
									        for row in range(self.minors().num_rows				)
									    ]				)



		def 					A_		( self  :    Union[str, Any]				)			->						Matrix:






									'''simple docstring'''

									A         =					[
									    [self.cofactors().rows[column][row] for column in range(self.num_columns				)]
									    for row in range(self.num_rows				)
									]
									return Matrix(snake_case				)



		def 					A_		( self  :    Tuple				)			->						Matrix:






									'''simple docstring'''

									A         =					self.determinant()
									if not determinant:
																raise TypeError('Only matrices with a non-zero determinant have an inverse'				)
									return self.adjugate() * (1 / determinant)



		def __repr__( self  :    Optional[Any]				)			->						str:






									'''simple docstring'''

									return str(self.rows				)



		def __str__( self  :    List[str]				)			->						str:






									'''simple docstring'''

									if self.num_rows == 0:
																return "[]"
									if self.num_rows == 1:
																return "[[" + ". ".join(str(self.rows[0]				)				) + "]]"
									return (
									    "["
									    + "\n ".join(
									        [
									            '[' + '. '.join([str(snake_case				) for value in row]				) + '.]'
									            for row in self.rows
									        ]				)
									    + "]"
									)



		def 					A_		( self  :    Union[str, Any]      ,							snake_case  :    list[int]      ,							snake_case  :    int | None = None				)			->						None:






									'''simple docstring'''

									A         =					TypeError('Row must be a list containing all ints and/or floats'				)
									if not isinstance(snake_case      ,							snake_case				):
																raise type_error
									for value in row:
																if not isinstance(snake_case      ,							(int, float)				):
																							raise type_error
									if len(snake_case				) != self.num_columns:
																raise ValueError(
																    'Row must be equal in length to the other rows in the matrix'				)
									if position is None:
																self.rows.append(snake_case				)
									else:
																A         =					self.rows[0:position] + [row] + self.rows[position:]



		def 					A_		( self  :    Tuple      ,							snake_case  :    list[int]      ,							snake_case  :    int | None = None				)			->						None:






									'''simple docstring'''

									A         =					TypeError(
									    'Column must be a list containing all ints and/or floats'				)
									if not isinstance(snake_case      ,							snake_case				):
																raise type_error
									for value in column:
																if not isinstance(snake_case      ,							(int, float)				):
																							raise type_error
									if len(snake_case				) != self.num_rows:
																raise ValueError(
																    'Column must be equal in length to the other columns in the matrix'				)
									if position is None:
																A         =					[self.rows[i] + [column[i]] for i in range(self.num_rows				)]
									else:
																A         =					[
																    self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
																    for i in range(self.num_rows				)
																]



		def __eq__( self  :    str      ,							snake_case  :    object				)			->						bool:






									'''simple docstring'''

									if not isinstance(snake_case      ,							snake_case				):
																return NotImplemented
									return self.rows == other.rows



		def __ne__( self  :    int      ,							snake_case  :    object				)			->						bool:






									'''simple docstring'''

									return not self == other



		def __neg__( self  :    List[Any]				)			->						Matrix:






									'''simple docstring'''

									return self * -1



		def __add__( self  :    Tuple      ,							snake_case  :    Matrix				)			->						Matrix:






									'''simple docstring'''

									if self.order != other.order:
																raise ValueError('Addition requires matrices of the same order'				)
									return Matrix(
									    [
									        [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns				)]
									        for i in range(self.num_rows				)
									    ]				)



		def __sub__( self  :    Tuple      ,							snake_case  :    Matrix				)			->						Matrix:






									'''simple docstring'''

									if self.order != other.order:
																raise ValueError('Subtraction requires matrices of the same order'				)
									return Matrix(
									    [
									        [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns				)]
									        for i in range(self.num_rows				)
									    ]				)



		def __mul__( self  :    Tuple      ,							snake_case  :    Matrix | int | float				)			->						Matrix:






									'''simple docstring'''

									if isinstance(snake_case      ,							(int, float)				):
																return Matrix(
																    [[int(element * other				) for element in row] for row in self.rows]				)
									elif isinstance(snake_case      ,							snake_case				):
																if self.num_columns != other.num_rows:
																							raise ValueError(
																							    'The number of columns in the first matrix must '
																							    'be equal to the number of rows in the second'				)
																return Matrix(
																    [
																        [Matrix.dot_product(snake_case      ,							snake_case				) for column in other.columns()]
																        for row in self.rows
																    ]				)
									else:
																raise TypeError(
																    'A Matrix can only be multiplied by an int, float, or another matrix'				)



		def __pow__( self  :    Optional[Any]      ,							snake_case  :    int				)			->						Matrix:






									'''simple docstring'''

									if not isinstance(snake_case      ,							snake_case				):
																raise TypeError('A Matrix can only be raised to the power of an int'				)
									if not self.is_square:
																raise ValueError('Only square matrices can be raised to a power'				)
									if other == 0:
																return self.identity()
									if other < 0:
																if self.is_invertable():
																							return self.inverse() ** (-other)
																raise ValueError(
																    'Only invertable matrices can be raised to a negative power'				)
									A         =					self
									for _ in range(other - 1				):
																result *= self
									return result



		@classmethod
		def 					A_		( cls  :    Optional[int]      ,							snake_case  :    list[int]      ,							snake_case  :    list[int]				)			->						int:






									'''simple docstring'''

									return sum(row[i] * column[i] for i in range(len(snake_case				)				)				)


if __name__ == "__main__":
							import doctest

							doctest.testmod()



