"""simple docstring"""







from __future__ import annotations

class 		UpperCamelCase      :



				def __init__(self    :				List[str]     ,  _A    :				list[list[int]])   ->     str:
					__snake_case      :							int						=			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(_A) != 0:
						__snake_case      :							Dict						=			len(rows[0])
						if cols == 0:
							raise error
						for row in rows:
							if len(_A) != cols:
								raise error
							for value in row:
								if not isinstance(_A     ,  (int, float)):
									raise error
						__snake_case      :							List[Any]						=			rows
					else:
						__snake_case      :							int						=			[]



				def  _lowercase					(self    :				Union[str, Any])   ->     list[list[int]]:
					return [[row[i] for row in self.rows] for i in range(len(self.rows[0]))]



				@property
				def  _lowercase					(self    :				Optional[Any])   ->     int:
					return len(self.rows)



				@property
				def  _lowercase					(self    :				Tuple)   ->     int:
					return len(self.rows[0])



				@property
				def  _lowercase					(self    :				Tuple)   ->     tuple[int, int]:
					return (self.num_rows, self.num_columns)



				@property
				def  _lowercase					(self    :				Tuple)   ->     bool:
					return self.order[0] == self.order[1]



				def  _lowercase					(self    :				Tuple)   ->     Matrix:
					__snake_case      :							int						=			[
					    [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(_A)



				def  _lowercase					(self    :				Optional[int])   ->     int:
					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  _lowercase					(self    :				Dict)   ->     bool:
					return bool(self.determinant())



				def  _lowercase					(self    :				Dict     ,  _A    :				int     ,  _A    :				int)   ->     int:
					__snake_case      :							int						=			[
					    [
					        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(_A).determinant()



				def  _lowercase					(self    :				str     ,  _A    :				int     ,  _A    :				int)   ->     int:
					if (row + column) % 2 == 0:
						return self.get_minor(_A     ,  _A)
					return -1 * self.get_minor(_A     ,  _A)



				def  _lowercase					(self    :				Union[str, Any])   ->     Matrix:
					return Matrix(
					    [
					        [self.get_minor(_A     ,  _A) for column in range(self.num_columns)]
					        for row in range(self.num_rows)
					    ])



				def  _lowercase					(self    :				Any)   ->     Matrix:
					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  _lowercase					(self    :				int)   ->     Matrix:
					__snake_case      :							List[Any]						=			[
					    [self.cofactors().rows[column][row] for column in range(self.num_columns)]
					    for row in range(self.num_rows)
					]
					return Matrix(_A)



				def  _lowercase					(self    :				Union[str, Any])   ->     Matrix:
					__snake_case      :							List[str]						=			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    :				List[str])   ->     str:
					return str(self.rows)



				def __str__(self    :				Optional[int])   ->     str:
					if self.num_rows == 0:
						return "[]"
					if self.num_rows == 1:
						return "[[" + ". ".join(str(self.rows[0])) + "]]"
					return (
					    "["
					    + "\n ".join(
					        [
					            '[' + '. '.join([str(_A) for value in row]) + '.]'
					            for row in self.rows
					        ])
					    + "]"
					)



				def  _lowercase					(self    :				Optional[Any]     ,  _A    :				list[int]     ,  _A    :				int | None = None)   ->     None:
					__snake_case      :							Union[str, Any]						=			TypeError('Row must be a list containing all ints and/or floats')
					if not isinstance(_A     ,  _A):
						raise type_error
					for value in row:
						if not isinstance(_A     ,  (int, float)):
							raise type_error
					if len(_A) != 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(_A)
					else:
						__snake_case      :							str						=			self.rows[0:position] + [row] + self.rows[position:]



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



				def __eq__(self    :				Union[str, Any]     ,  _A    :				object)   ->     bool:
					if not isinstance(_A     ,  _A):
						return NotImplemented
					return self.rows == other.rows



				def __ne__(self    :				Optional[Any]     ,  _A    :				object)   ->     bool:
					return not self == other



				def __neg__(self    :				List[Any])   ->     Matrix:
					return self * -1



				def __add__(self    :				List[str]     ,  _A    :				Matrix)   ->     Matrix:
					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     ,  _A    :				Matrix)   ->     Matrix:
					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    :				Union[str, Any]     ,  _A    :				Matrix | int | float)   ->     Matrix:
					if isinstance(_A     ,  (int, float)):
						return Matrix(
						    [[int(element * other) for element in row] for row in self.rows])
					elif isinstance(_A     ,  _A):
						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(_A     ,  _A) 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    :				Any     ,  _A    :				int)   ->     Matrix:
					if not isinstance(_A     ,  _A):
						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')
					__snake_case      :							Union[str, Any]						=			self
					for _ in range(other - 1):
						result *= self
					return result






				@classmethod
				def  _lowercase					(cls    :				List[str]     ,  _A    :				list[int]     ,  _A    :				list[int])   ->     int:
					return sum(row[i] * column[i] for i in range(len(_A)))


if __name__ == "__main__":
	import doctest

	doctest.testmod()

"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_videomae import VideoMAEImageProcessor


_a					:					Tuple=			logging.get_logger(__name__)

class 		UpperCamelCase      (   lowercase						):



				def __init__(self    :				int     ,  *_A    :				str     ,  **_A    :				List[str])   ->     None:
					warnings.warn(
					    'The class VideoMAEFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
					    ' Please use VideoMAEImageProcessor instead.'     ,  _A     ,  )
					super().__init__(*_A     ,  **_A)





